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        <title>Population Health Metrics via MedWorm.com</title>
        <description>MedWorm.com provides a medical RSS filtering service. Over 6000 RSS medical sources are combined and output via different filters. This feed contains the latest items from the 'Population Health Metrics' source.</description>
        <link><![CDATA[http://www.medworm.com/rss/search.php?qu=Population+Health+Metrics&t=Population+Health+Metrics&s=Search&f=source]]></link>
        <lastBuildDate>Thu, 09 Feb 2012 11:21:09 +0100</lastBuildDate>
        <item>
            <title>A critical re-evaluation of the regression model specification in the US D1 EQ-5D value function</title>
            <link>http://www.medworm.com/index.php?rid=5591166&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F10%2F1%2F2</link>
            <description>DiscussionUsing the D1 variable in place of a constant constitutes an unnecessary complication of the model, obscures the fact that at least two of the main effect dummy variables are statistically nonsignificant, and complicates and biases interpretation of the tariff algorithm. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
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            <pubDate>Fri, 13 Jan 2012 05:00:00 +0100</pubDate>
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        <item>
            <title>Modeling causes of death: an integrated approach using CODEm</title>
            <link>http://www.medworm.com/index.php?rid=5567381&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F10%2F1%2F1</link>
            <description>Conclusions:
CODEm produces better estimates of cause of death trends than previous methods and is less susceptible to bias in model specification. We demonstrate the utility of CODEm for the estimation of several major causes of death. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5567381</comments>
            <pubDate>Fri, 06 Jan 2012 05:00:00 +0100</pubDate>
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        <item>
            <title>Burden of type 2 diabetes attributed to lower educational levels in Sweden</title>
            <link>http://www.medworm.com/index.php?rid=5510958&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F60</link>
            <description>Conclusions:
There is a considerable burden of type 2 diabetes attributed to lower educational levels in Sweden, and socioeconomic indicators should be considered to be incorporated in the CRA. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5510958</comments>
            <pubDate>Fri, 16 Dec 2011 05:00:00 +0100</pubDate>
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        <item>
            <title>Testing for fertility stalls in Demographic and Health Surveys</title>
            <link>http://www.medworm.com/index.php?rid=5491602&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F59</link>
            <description>This study compares two methods for testing fertility trends and fertility stalls using Demographic and Health Surveys data. The first method is based on linear regression and uses the equivalence of period and cohort estimates with the same cumulative fertility at age 40, the same number of births, and the same distribution of women by parity. The second method is based on logistic regression. It assumes that the age pattern of fertility is constant over short periods of time. Both methods were applied to fertility trends in several African countries (Ghana, Kenya, Madagascar, Nigeria, Rwanda, Senegal, Tanzania, and Zambia). The two methods were found to predict similar values of cumulative fertility, to produce consistent slopes, to document fertility trends the same way, and to characte...</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
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            <pubDate>Thu, 08 Dec 2011 05:00:00 +0100</pubDate>
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        <item>
            <title>Using funnel plots in public health surveillance</title>
            <link>http://www.medworm.com/index.php?rid=5394791&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F58</link>
            <description>Conclusions:
Funnel plots provide a useful tool to explore small area data and to routinely incorporate covariate relationships in surveillance analyses. The exploratory process has at each step a direct and useful policy-related result. Dealing thoughtfully with statistical overdispersion is a cornerstone to fully understanding funnel plots. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5394791</comments>
            <pubDate>Thu, 10 Nov 2011 05:00:00 +0100</pubDate>
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        <item>
            <title>An algorithm to assess methodological quality of nutrition and mortality cross-sectional surveys: development and application to surveys conducted in Darfur, Sudan</title>
            <link>http://www.medworm.com/index.php?rid=5394792&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F57</link>
            <description>Conclusion:
Our study suggests that it is possible to systematically assess quality of surveys and reveals considerable problems with the quality of nutritional and particularly mortality surveys conducted in the Darfur crisis. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5394792</comments>
            <pubDate>Wed, 09 Nov 2011 05:00:00 +0100</pubDate>
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        <item>
            <title>Incidences of obesity and extreme obesity among US adults: findings from the 2009 Behavioral Risk Factor Surveillance System</title>
            <link>http://www.medworm.com/index.php?rid=5342334&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F56</link>
            <description>Conclusions:
The high incidence of obesity underscores the importance of implementing effective policy and environmental strategies in the general population. Given the significant variations in incidence within the subgroups, public health officials should prioritize younger adults, women, minorities, and adults with lower education as the targets for these efforts. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5342334</comments>
            <pubDate>Mon, 17 Oct 2011 04:00:00 +0100</pubDate>
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        <item>
            <title>National and subnational mortality effects of metabolic risk factors and smoking in Iran: a comparative risk assessment</title>
            <link>http://www.medworm.com/index.php?rid=5309609&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F55</link>
            <description>DiscussionManagement of blood pressure through diet, lifestyle, and pharmacological interventions should be a priority in Iran. Interventions for other metabolic risk factors and smoking can also improve population health. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5309609</comments>
            <pubDate>Tue, 11 Oct 2011 04:00:00 +0100</pubDate>
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        <item>
            <title>Age at diagnosis of diabetes in Appalachia</title>
            <link>http://www.medworm.com/index.php?rid=5280250&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F54</link>
            <description>Conclusions:
People in distressed and at-risk counties have poor access to care, and are unlikely to develop diabetes at the same age as their non-Appalachian counterparts but be diagnosed sooner. Therefore, people in distressed and at-risk counties are likely developing diabetes at younger ages. We recommend that steps to reduce health disparities between the poorest Appalachian counties and non-Appalachian counties be considered. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5280250</comments>
            <pubDate>Fri, 30 Sep 2011 04:00:00 +0100</pubDate>
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        <item>
            <title>Change in bias in self-reported body mass index in Australia between 1995 and 2008 and the evaluation of correction equations</title>
            <link>http://www.medworm.com/index.php?rid=5256296&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F53</link>
            <description>Conclusions:
The diminishing reporting bias in BMI in Australia means that correction equations derived from 2007-2008 data may not be transferable to earlier self-reported data. Second, predictions of future overweight and obesity in Australia based on trends in self-reported information are likely to be inaccurate, as the change in reporting bias will affect the apparent increase in self-reported obesity prevalence. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5256296</comments>
            <pubDate>Sun, 25 Sep 2011 04:00:00 +0100</pubDate>
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        <item>
            <title>Cause-specific mortality time series analysis: a general method to detect and correct for abrupt data production changes</title>
            <link>http://www.medworm.com/index.php?rid=5231579&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F52</link>
            <description>Conclusion:
The method presented in this paper was successfully applied to a large set of causes of death and countries. The method appears to be an alternative to bridge coding methods when the latter are not systematically implemented because they are time- and resource-consuming. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5231579</comments>
            <pubDate>Mon, 19 Sep 2011 04:00:00 +0100</pubDate>
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        <item>
            <title>Co-occurrence of diabetes, myocardial infarction, stroke, and cancer: quantifying age patterns in the Dutch population using health survey data</title>
            <link>http://www.medworm.com/index.php?rid=5189945&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F51</link>
            <description>Conclusion:
Common chronic diseases co-occur in one individual more frequently than is due to chance. In monitoring the occurrence of diseases among the population at large, such multimorbidity is insufficiently taken into account. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5189945</comments>
            <pubDate>Wed, 31 Aug 2011 23:00:00 +0100</pubDate>
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        <item>
            <title>Adaptation of a probabilistic method (InterVA) of verbal autopsy to improve the interpretation of cause of stillbirth and neonatal death in Malawi, Nepal, and Zimbabwe</title>
            <link>http://www.medworm.com/index.php?rid=5256297&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F48</link>
            <description>Conclusion:
The modified InterVA method provides plausible results for stillbirths and newborn deaths, broadly comparable to physician review but with the advantage of internal consistency. The method allows standardized cross-country comparisons and eliminates the inconsistencies of physician review in such comparisons. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5256297</comments>
            <pubDate>Fri, 05 Aug 2011 04:00:00 +0100</pubDate>
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            <title>Feasibility of using a World Health Organization-standard methodology for Sample Vital Registration with Verbal Autopsy (SAVVY) to report leading causes of death in Zambia: results of a pilot in four provinces, 2010</title>
            <link>http://www.medworm.com/index.php?rid=5101857&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F40</link>
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            <author>Population Health Metrics</author>
            <type>journals</type>
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            <pubDate>Thu, 04 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Verbal autopsy completion rate and factors associated with undetermined cause of death in a rural resource-poor setting of Tanzania</title>
            <link>http://www.medworm.com/index.php?rid=5101856&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F41</link>
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            <author>Population Health Metrics</author>
            <type>journals</type>
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            <pubDate>Thu, 04 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Classifying perinatal mortality using verbal autopsy: is there a role for nonphysicians?</title>
            <link>http://www.medworm.com/index.php?rid=5101855&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F42</link>
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            <author>Population Health Metrics</author>
            <type>journals</type>
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            <pubDate>Thu, 04 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Trends in causes of death among children under 5 in Bangladesh, 1993-2004: an exercise applying a standardized computer algorithm to assign causes of death using verbal autopsy data</title>
            <link>http://www.medworm.com/index.php?rid=5101854&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F43</link>
            <description>${item.shortDescription} (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
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            <pubDate>Thu, 04 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Social autopsy: INDEPTH Network experiences of utility, process, practices, and challenges in investigating causes and contributors to mortality</title>
            <link>http://www.medworm.com/index.php?rid=5101853&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F44</link>
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            <author>Population Health Metrics</author>
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            <pubDate>Thu, 04 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Social autopsy for maternal and child deaths: a comprehensive literature review to examine the concept and the development of the method</title>
            <link>http://www.medworm.com/index.php?rid=5101852&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F45</link>
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            <author>Population Health Metrics</author>
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            <pubDate>Thu, 04 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Using verbal autopsy to track epidemic dynamics: 
the case of HIV-related mortality in South Africa</title>
            <link>http://www.medworm.com/index.php?rid=5101851&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F46</link>
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            <author>Population Health Metrics</author>
            <type>journals</type>
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            <pubDate>Thu, 04 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Verbal autopsy-based cause-specific mortality trends in rural KwaZulu-Natal, South Africa, 2000-2009</title>
            <link>http://www.medworm.com/index.php?rid=5101850&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F47</link>
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            <author>Population Health Metrics</author>
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            <pubDate>Thu, 04 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Validating physician-certified verbal autopsy and probabilistic modeling (InterVA) approaches to verbal autopsy interpretation using hospital causes of adult deaths</title>
            <link>http://www.medworm.com/index.php?rid=5101849&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F49</link>
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            <author>Population Health Metrics</author>
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            <pubDate>Thu, 04 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Performance of InterVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards</title>
            <link>http://www.medworm.com/index.php?rid=5101848&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F50</link>
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            <author>Population Health Metrics</author>
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            <pubDate>Thu, 04 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Population Health Metrics Research Consortium gold standard verbal autopsy validation study: design, implementation, and development of analysis datasets</title>
            <link>http://www.medworm.com/index.php?rid=5093067&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F27</link>
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            <author>Population Health Metrics</author>
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            <pubDate>Wed, 03 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Robust metrics for assessing the performance of different verbal autopsy cause assignment methods in validation studies</title>
            <link>http://www.medworm.com/index.php?rid=5093066&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F28</link>
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            <author>Population Health Metrics</author>
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            <pubDate>Wed, 03 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Random forests for verbal autopsy analysis: multisite validation study using clinical diagnostic gold standards</title>
            <link>http://www.medworm.com/index.php?rid=5093064&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F29</link>
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            <author>Population Health Metrics</author>
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            <pubDate>Wed, 03 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Simplified Symptom Pattern Method for verbal autopsy analysis: multisite validation study using clinical diagnostic gold standards</title>
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            <author>Population Health Metrics</author>
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            <pubDate>Wed, 03 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies</title>
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            <author>Population Health Metrics</author>
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            <pubDate>Wed, 03 Aug 2011 23:00:00 +0100</pubDate>
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            <title>Advances in verbal autopsy: pragmatic optimism or optimistic theory?</title>
            <link>http://www.medworm.com/index.php?rid=5084634&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F24</link>
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            <author>Population Health Metrics</author>
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            <pubDate>Sun, 31 Jul 2011 23:00:00 +0100</pubDate>
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            <title>Synergism of verbal autopsy and diagnostic pathology autopsy for improved accuracy of mortality data</title>
            <link>http://www.medworm.com/index.php?rid=5084633&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F25</link>
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            <author>Population Health Metrics</author>
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            <pubDate>Sun, 31 Jul 2011 23:00:00 +0100</pubDate>
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        <item>
            <title>Computer-based analysis of verbal autopsies: revolution or evolution?</title>
            <link>http://www.medworm.com/index.php?rid=5084632&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F26</link>
            <description>${item.shortDescription} (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5084632</comments>
            <pubDate>Sun, 31 Jul 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">5084632</guid>        </item>
        <item>
            <title>Verbal autopsy: advancing science, facilitating application</title>
            <link>http://www.medworm.com/index.php?rid=5067748&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F18</link>
            <description>${item.shortDescription} (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5067748</comments>
            <pubDate>Tue, 26 Jul 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">5067748</guid>        </item>
        <item>
            <title>Verbal autopsy: who needs it?</title>
            <link>http://www.medworm.com/index.php?rid=5067747&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F19</link>
            <description>${item.shortDescription} (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5067747</comments>
            <pubDate>Tue, 26 Jul 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">5067747</guid>        </item>
        <item>
            <title>Verbal autopsy and global mortality statistics: if not now, then when?</title>
            <link>http://www.medworm.com/index.php?rid=5067746&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F20</link>
            <description>${item.shortDescription} (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5067746</comments>
            <pubDate>Tue, 26 Jul 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">5067746</guid>        </item>
        <item>
            <title>Decomposing cross-country differences in Quality Adjusted Life Expectancy: the impact of value sets</title>
            <link>http://www.medworm.com/index.php?rid=4966450&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F17</link>
            <description>Conclusions:
The choice of the value set in SMPH may seriously affect cross-country comparisons of health expectancy, even across populations of similar levels of wealth and education. In our opinion, it is essential to get more insight into the drivers of differences in health-state values across populations. This will enhance the usefulness of health-expectancy measures. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4966450</comments>
            <pubDate>Wed, 22 Jun 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">4966450</guid>        </item>
        <item>
            <title>Falling behind: life expectancy in US counties from 2000 to 2007 in an international context</title>
            <link>http://www.medworm.com/index.php?rid=4930742&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F16</link>
            <description>Conclusions:
The US has extremely large geographic and racial disparities, with some communities having life expectancies already well behind those of the best-performing nations. At the same time, relative performance for most communities continues to drop. Efforts to address these issues will need to tackle the leading preventable causes of death. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4930742</comments>
            <pubDate>Tue, 14 Jun 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">4930742</guid>        </item>
        <item>
            <title>Patterns of multimorbidity in working Australians</title>
            <link>http://www.medworm.com/index.php?rid=4890478&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F15</link>
            <description>Conclusions:
Considerably more research is needed with large population-based datasets and a comprehensive set of reliable health diagnoses to better understand the complex nature and composition of multimorbid health conditions. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4890478</comments>
            <pubDate>Wed, 01 Jun 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">4890478</guid>        </item>
        <item>
            <title>Why my disease is important: metrics of disease occurrence used in the introductory sections of papers in three leading general medical journals in 1993 and 2003</title>
            <link>http://www.medworm.com/index.php?rid=4860184&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F14</link>
            <description>Conclusions:
Claims about the relative importance of diseases continued to be overwhelmingly expressed in terms of counts (of deaths and disease onsets) and comparisons of counts, rates, and risks. Where the aim is to convey the burden that a given disease imposes on a society, &quot;event-based&quot; metrics might be less fit for the purpose than &quot;time-based&quot; metrics. More attention is needed to how the choice of metric should relate to the purpose at hand. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4860184</comments>
            <pubDate>Sun, 22 May 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">4860184</guid>        </item>
        <item>
            <title>Healthy life gains in South Australia 1999-2008: 
analysis of a local Burden of Disease series</title>
            <link>http://www.medworm.com/index.php?rid=4827037&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F13</link>
            <description>Conclusions:
While overall gains in both total life and healthy life expectancy were apparent in South Australia, gains were greater for total life expectancy. Additionally, the proportion of expected life lived with disease and injury-related illness increased as disadvantage decreased. This expansion of morbidity occurred in both sexes and across all socio-economic groups.This analysis outlines the continuing improvements to population health outcomes within South Australia. It also highlights the challenge of reducing population morbidity so that gains to healthy life match those of total life expectancy. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4827037</comments>
            <pubDate>Sun, 15 May 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">4827037</guid>        </item>
        <item>
            <title>An assessment of routine primary care health information system data quality in Sofala Province, Mozambique</title>
            <link>http://www.medworm.com/index.php?rid=4827038&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F12</link>
            <description>Conclusions:
Our results suggest that in this setting, HIS data are both reliable and consistent, supporting their use in primary health care program monitoring and evaluation. Simple, rapid tools can be used to evaluate routine data and facilitate the rapid identification of problem areas. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4827038</comments>
            <pubDate>Thu, 12 May 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">4827038</guid>        </item>
        <item>
            <title>PHQ-8 Days: a measurement option for DSM-5 Major Depressive Disorder (MDD) severity</title>
            <link>http://www.medworm.com/index.php?rid=4761762&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F11</link>
            <description>Conclusion:
The days version of the PHQ-8 may be a valuable dimensional alternative to the traditional PHQ-8 by offering finer granularity of dimensionality (a score of 0 to 112). (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4761762</comments>
            <pubDate>Wed, 27 Apr 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">4761762</guid>        </item>
        <item>
            <title>Capture-recapture analysis of all-cause mortality data in Bohol, Philippines</title>
            <link>http://www.medworm.com/index.php?rid=4722368&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F9</link>
            <description>Conclusions:
Deaths are underreported in Bohol, with inconsistent reporting procedures contributing to this situation. Uncorrected mortality measures would subsequently be misleading if used for health planning and evaluation purposes. These findings highlight the importance of ensuring that official mortality estimates from the Philippines are derived from data that have been assessed for underreporting and corrected as necessary. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4722368</comments>
            <pubDate>Sat, 16 Apr 2011 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">4722368</guid>        </item>
        <item>
            <title>Improving the public health utility of global cardiovascular mortality data: the rise of ischemic heart disease</title>
            <link>http://www.medworm.com/index.php?rid=4589431&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F8</link>
            <description>Conclusions:
Ischemic heart disease becomes the No. 1 cause of death in several developed countries, including France and Japan, underscoring the cardiovascular epidemic in high-income countries. Age-adjusted death rate increases for ischemic heart disease in low- and middle-income countries, such as Argentina and South Africa, highlight the rise of the cardiovascular epidemic in regions where public health efforts have historically focused on infectious diseases. This method maximizes the use of available data, providing better evidence on major causes of death to inform policymakers in allocating finite resources. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4589431</comments>
            <pubDate>Tue, 15 Mar 2011 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">4589431</guid>        </item>
        <item>
            <title>Changes over time in the &quot;healthy soldier effect&quot;</title>
            <link>http://www.medworm.com/index.php?rid=4589432&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F7</link>
            <description>Conclusions:
Patterns of the healthy soldier effect over time varied markedly by study cohort and by cause of death studied. In a number of analyses, the healthy soldier effect was still apparent after more than 30 years of follow-up. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4589432</comments>
            <pubDate>Mon, 14 Mar 2011 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">4589432</guid>        </item>
        <item>
            <title>Regional inequalities in under-5 mortality in Nigeria: a population-based analysis of individual- and community-level determinants</title>
            <link>http://www.medworm.com/index.php?rid=4564668&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F6</link>
            <description>Conclusion:
The findings suggest the need to differentially focus on community-level interventions aimed at increasing maternal and child health care utilization and improving the socioeconomic position of mothers, especially in disadvantaged regions such as the South South (Niger Delta) region. Further studies on community-levels determinants of under-5 mortality are needed. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4564668</comments>
            <pubDate>Wed, 09 Mar 2011 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">4564668</guid>        </item>
        <item>
            <title>Developing a method to derive alcohol-attributable fractions for HIV/AIDS mortality based on alcohol's impact on adherence to antiretroviral medication</title>
            <link>http://www.medworm.com/index.php?rid=4476415&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F5</link>
            <description>Conclusions:
Although the method has its limitations, it was shown to be feasible and provided estimates of the impact of alcohol use on the mortality outcome of HIV/AIDS. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4476415</comments>
            <pubDate>Mon, 14 Feb 2011 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">4476415</guid>        </item>
        <item>
            <title>Assessing community variation and randomness in public health indicators</title>
            <link>http://www.medworm.com/index.php?rid=4428080&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F3</link>
            <description>Conclusions:
The heterogeneity measure based on Pearson's chi2 should be used to assess indices. Methods for improving poor indices are discussed. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4428080</comments>
            <pubDate>Wed, 02 Feb 2011 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">4428080</guid>        </item>
        <item>
            <title>Measuring the burden of arboviral diseases: the spectrum of morbidity and mortality of four prevalent infections</title>
            <link>http://www.medworm.com/index.php?rid=4329872&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F9%2F1%2F1</link>
            <description>Conclusions:
Limitations in health systems in endemic areas undoubtedly lead to underestimation of arbovirus incidence and related complications. However, improving diagnostics and better understanding of the late secondary results of infection now give a first approximation of the current disease burden from these widespread serious infections. Arbovirus control and prevention remains a high priority, both because of the current disease burden and the significant threat of the re-emergence of these viruses among much larger groups of susceptible populations. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4329872</comments>
            <pubDate>Mon, 10 Jan 2011 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">4329872</guid>        </item>
        <item>
            <title>Does the development of new medicinal products in the European Union address global and regional health concerns?</title>
            <link>http://www.medworm.com/index.php?rid=4274504&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F34</link>
            <description>Conclusions:
We find that the development of new medicinal products is higher for some diseases than others. Pharmaceutical industry leaders and policymakers are invited to consider the implications of this imbalance by establishing work plans that allow for the setting of future priorities from a public health perspective. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4274504</comments>
            <pubDate>Mon, 20 Dec 2010 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">4274504</guid>        </item>
        <item>
            <title>Trends and inequalities in short-term acute myocardial infarction case fatality in Scotland, 1988-2004</title>
            <link>http://www.medworm.com/index.php?rid=4232224&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F33</link>
            <description>Conclusions:
A high proportion of AMI incidents in Scotland result in death on the day of the first event; many of these are sudden cardiac deaths. Short-term CF has improved, perhaps reflecting treatment advances and reductions in first AMI severity. However, persistent socioeconomic and geographic inequalities suggest these improvements are not uniform across all population groups, emphasizing the need for population-wide primary prevention. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4232224</comments>
            <pubDate>Mon, 06 Dec 2010 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">4232224</guid>        </item>
        <item>
            <title>Interpersonal violence: an important risk factor for disease and injury in South Africa</title>
            <link>http://www.medworm.com/index.php?rid=4218344&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F32</link>
            <description>Conclusions:
The implications of our findings are that estimates that include only the direct injury burden seriously underrepresent the full health impact of interpersonal violence. Violence is an important direct and indirect cause of health loss and should be recognized as a priority health problem as well as a human rights and social issue. This study highlights the difficulties in measuring the disease burden from interpersonal violence as a risk factor and the need to improve the epidemiological data on the prevalence and risks for the different forms of interpersonal violence to complete the picture. Given the extent of the burden, it is essential that innovative research be supported to identify social policy and other interventions that address both the individual and societal asp...</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4218344</comments>
            <pubDate>Wed, 01 Dec 2010 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">4218344</guid>        </item>
        <item>
            <title>Measuring the health of the Indian elderly: 
evidence from National Sample Survey data</title>
            <link>http://www.medworm.com/index.php?rid=4170978&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F30</link>
            <description>Conclusions:
Our exercise supports the thesis that the region of residence is associated with different cut-points and reporting behavior on health surveys. We believe this is the first paper that applies the Lindeboom-van Doorslaer methodology to data on the elderly in a developing country, showing the feasibility of applying this methodology to data from many existing cross-sectional health surveys. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4170978</comments>
            <pubDate>Tue, 16 Nov 2010 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">4170978</guid>        </item>
        <item>
            <title>Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence</title>
            <link>http://www.medworm.com/index.php?rid=4094668&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F29</link>
            <description>Conclusions:
These projected increases are largely attributable to the aging of the US population, increasing numbers of members of higher-risk minority groups in the population, and people with diabetes living longer. Effective strategies will need to be undertaken to moderate the impact of these factors on national diabetes burden. Our analysis suggests that widespread implementation of reasonably effective preventive interventions focused on high-risk subgroups of the population can considerably reduce, but not eliminate, future increases in diabetes prevalence. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4094668</comments>
            <pubDate>Thu, 21 Oct 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">4094668</guid>        </item>
        <item>
            <title>Deaths of infants subject to forensic autopsy in Estonia from 2001 to 2005: what can we learn from additional information?</title>
            <link>http://www.medworm.com/index.php?rid=4034984&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F27</link>
            <description>Conclusions:
Using additional sources of information revealed new information about child abuse not reflected in the cause of death diagnosis. Effective interventions aimed at parent education and improved follow-up of children by medical staff may reduce mortality from external causes among Estonian infants by more than half. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4034984</comments>
            <pubDate>Mon, 04 Oct 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">4034984</guid>        </item>
        <item>
            <title>A novel framework for validating and applying standardized small area measurement strategies</title>
            <link>http://www.medworm.com/index.php?rid=4010422&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F26</link>
            <description>Conclusions:
Small area estimation of important health outcomes and risk factors can be improved using a systematic modeling and validation framework, which consistently outperformed single-year direct survey estimates and demonstrated the potential leverage of including relevant domain-specific covariates compared to pure measurement models. The proposed validation strategy can be applied to other disease outcomes and risk factors in the US as well as to resource-scarce situations, including low-income countries. These estimates are needed by public health officials to identify at-risk groups, to design targeted prevention and intervention programs, and to monitor and evaluate results over time. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4010422</comments>
            <pubDate>Tue, 28 Sep 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">4010422</guid>        </item>
        <item>
            <title>Correlating pharmaceutical data with a national health survey as a proxy for estimating rural population health</title>
            <link>http://www.medworm.com/index.php?rid=3968076&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F25</link>
            <description>Conclusions:
County prescription drug rates were shown to be valid measures of sub-state estimates of diagnosed prevalence and could be used to target health resources to counties in need. This methodology could be particularly helpful to rural areas whose prevalence rates cannot be estimated using national surveys. While there are no spatial statistically significant patterns nationally, there are significant variations within states that suggest unmet health needs. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3968076</comments>
            <pubDate>Mon, 13 Sep 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3968076</guid>        </item>
        <item>
            <title>The effect of participant nonresponse on HIV prevalence estimates in a population-based survey in two informal settlements in Nairobi city</title>
            <link>http://www.medworm.com/index.php?rid=3779494&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F22</link>
            <description>Conclusions:
Nonresponse in the HIV serosurvey in the two informal settlements was high, however, the effect on overall prevalence estimate was minimal. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3779494</comments>
            <pubDate>Wed, 21 Jul 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3779494</guid>        </item>
        <item>
            <title>Verbal autopsy interpretation: a comparative analysis of the InterVA model versus physician review in determining causes of death in the Nairobi DSS</title>
            <link>http://www.medworm.com/index.php?rid=3709503&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F21</link>
            <description>Conclusions:
The InterVA model showed promising results as a community-level tool for generating cause of death data from VAs. We recommend further refinement to the model, its adaptation to suit local contexts, and its continued validation with more extensive data from different settings. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3709503</comments>
            <pubDate>Mon, 28 Jun 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3709503</guid>        </item>
        <item>
            <title>Consistency and precision of cancer reporting in a multiwave national panel survey</title>
            <link>http://www.medworm.com/index.php?rid=3698523&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F20</link>
            <description>Conclusions:
Results suggest that retrospective reports of cancer contain significant measurement error. The errors, however, are fairly random across different social groups, meaning that the results based on the data are not systematically biased by socio-economic factors. Even for health events as salient as cancer, researchers should exercise caution about the presumed accuracy of self-reports, especially if the timing of diagnosis is an important covariate. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3698523</comments>
            <pubDate>Thu, 24 Jun 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3698523</guid>        </item>
        <item>
            <title>Designing Verbal Autopsy Studies</title>
            <link>http://www.medworm.com/index.php?rid=3689937&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F19</link>
            <description>Conclusions: With the advice offered here, researchers should be able to design verbal autopsy surveys and conduct analyses with greatly reduced statistical biases and research costs. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3689937</comments>
            <pubDate>Tue, 22 Jun 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3689937</guid>        </item>
        <item>
            <title>A set of indicators for decomposing the secular increase of life expectancy</title>
            <link>http://www.medworm.com/index.php?rid=3643763&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F18</link>
            <description>Conclusion:
Our method may provide a useful tool to assess whether the contribution of rectangularization to the secular increase of life expectancy will remain around 50% or whether it will be increasing in the next few years, and thus whether concentration of mortality will eventually take place against some ultimate biological limit. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3643763</comments>
            <pubDate>Tue, 08 Jun 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3643763</guid>        </item>
        <item>
            <title>Thermal discomfort with cold extremities in relation to age, gender, and body mass index in a random sample of a Swiss urban population</title>
            <link>http://www.medworm.com/index.php?rid=3631552&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F17</link>
            <description>Conclusions:
Thermal discomfort with cold extremities (a relevant symptom of primary vascular dysregulation) occurs at highest intensity in younger, slimmer women and at lowest intensity in elderly, stouter men. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3631552</comments>
            <pubDate>Thu, 03 Jun 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3631552</guid>        </item>
        <item>
            <title>Estimating prevalence of overweight and obesity at the neighborhood level: the value of maternal height and weight data available on birth certificate records</title>
            <link>http://www.medworm.com/index.php?rid=3598421&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F16</link>
            <description>Conclusions:
Maternal height and weight data available from birth certificate records may be useful for identifying neighborhoods with relatively high or low prevalence of adult residents who are overweight or obese. This is especially true if used in combination with readily available census data. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3598421</comments>
            <pubDate>Mon, 24 May 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3598421</guid>        </item>
        <item>
            <title>Early mortality experience in a large military cohort and a comparison of mortality data sources</title>
            <link>http://www.medworm.com/index.php?rid=3591568&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F15</link>
            <description>Conclusions:
The difference in crude and adjusted death rates between Panel 1 participants and non-participants may reflect healthier segments of the military having the opportunity and choosing to participate. In our study population, mortality information was best captured using multiple data sources. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3591568</comments>
            <pubDate>Sun, 23 May 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3591568</guid>        </item>
        <item>
            <title>Integrated multisource estimates of mortality for Thailand in 2005</title>
            <link>http://www.medworm.com/index.php?rid=3572631&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F10</link>
            <description>Estimates of mortality in Thailand during 2005 have been published, integrating multiple data sources including national vital registration and a national follow-up cluster sample, covering both deaths in health facilities (approximately one-third) and elsewhere. The methodological challenge is to make the best use of the existing data, supplemented by additional data that are feasible to obtain, in order to arrive at the best possible overall estimates of mortality. In this case, information from the national vital registration database was supplemented by a verbal autopsy survey of approximately 2.5% of deaths, the latter being used to validate routine cause-of-death data and information from medical records. This led to a revised national cause-specific mortality envelope for Thailand i...</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3572631</comments>
            <pubDate>Mon, 17 May 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3572631</guid>        </item>
        <item>
            <title>Verifying causes of death in Thailand: rationale and methods for empirical investigation</title>
            <link>http://www.medworm.com/index.php?rid=3572630&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F11</link>
            <description>Conclusions:
Empirical investigation of registered causes of death in the study sample yielded adequate information to enable estimation of cause-specific mortality patterns in Thailand. These findings will inform burden of disease estimation and economic evaluation of health policy choices in the country. The development and implementation of research methods in this study will contribute to improvements in the quality of annual mortality statistics in Thailand. Similar research is recommended for other countries where the quality of mortality statistics is poor. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3572630</comments>
            <pubDate>Mon, 17 May 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3572630</guid>        </item>
        <item>
            <title>Cause-specific mortality patterns among hospital deaths in Thailand: validating routine death certification</title>
            <link>http://www.medworm.com/index.php?rid=3572629&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F12</link>
            <description>Conclusions:
Registration data on causes for deaths occurring in hospitals require periodic validation prior to their use for epidemiological research or public health policy. Procedures for death certification and coding of underlying causes of death need to be streamlined to improve reliability of registration data. Estimates of cause-specific mortality from this research will inform burden of disease estimation and guide interventions to reduce avoidable mortality in hospitals in Thailand. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3572629</comments>
            <pubDate>Mon, 17 May 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3572629</guid>        </item>
        <item>
            <title>Cause-of-death ascertainment for deaths that occur outside hospitals in Thailand: application of verbal autopsy methods</title>
            <link>http://www.medworm.com/index.php?rid=3572628&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F13</link>
            <description>Conclusions:
The use of standard VA methods adapted to Thailand enabled a plausible assessment of cause-specific mortality patterns and a substantial reduction of ill-defined diagnoses. Validation studies enhance the utility of findings from the application of verbal autopsy. Regular implementation of VA in Thailand could accelerate development of the quality and utility of vital registration data for deaths outside hospitals. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3572628</comments>
            <pubDate>Mon, 17 May 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3572628</guid>        </item>
        <item>
            <title>Estimated causes of death in Thailand, 2005: implications for health policy</title>
            <link>http://www.medworm.com/index.php?rid=3572627&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F14</link>
            <description>Conclusions:
Field research into the accuracy of cause-of-death data can result in substantially different patterns of mortality than suggested by routine death registration. Misclassification errors are likely to have very significant implications for health policy debates. Routine incorporation of validated verbal autopsy methods could significantly improve cause-of-death data quality in Thailand. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3572627</comments>
            <pubDate>Mon, 17 May 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3572627</guid>        </item>
        <item>
            <title>Comparing population health in the United States and Canada</title>
            <link>http://www.medworm.com/index.php?rid=3514415&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F8</link>
            <description>Conclusions:
The population of Canada appears to be substantially healthier than the US population with respect to life expectancy, HRQL, and HALE. Factors that account for the difference may include access to health care over the full life span (universal health insurance) and lower levels of social and economic inequality, especially among the elderly. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3514415</comments>
            <pubDate>Wed, 28 Apr 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3514415</guid>        </item>
        <item>
            <title>Analysis of five-year trends in self-reported language preference and issues of item non-response among Hispanic persons in a large cross-sectional health survey: implications for the measurement of an ethnic minority population</title>
            <link>http://www.medworm.com/index.php?rid=3493380&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F7</link>
            <description>Conclusions:
Including additional measures of acculturation and increasing the sample size of Hispanic persons in a national health survey such as the Behavioral Risk Factor Surveillance System may result in more precise findings that could be used to better target prevention and health care needs for an ethnic minority population. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3493380</comments>
            <pubDate>Wed, 21 Apr 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3493380</guid>        </item>
        <item>
            <title>Deaths from heart failure: using coarsened exact matching to correct cause-of-death statistics</title>
            <link>http://www.medworm.com/index.php?rid=3462713&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F6</link>
            <description>Conclusions:
The frequency with which physicians list heart failure in the causal chain for various underlying causes of death allows for inference about how physicians use heart failure on the death certificate in different settings. This easy-to-use method has the potential to reduce bias and increase comparability in cause-of-death data, thereby improving the public health utility of death records. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3462713</comments>
            <pubDate>Mon, 12 Apr 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3462713</guid>        </item>
        <item>
            <title>The United States of America and the Islamic Republic of Iran: the path to preventing traffic injuries?</title>
            <link>http://www.medworm.com/index.php?rid=3423718&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F4</link>
            <description>None (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3423718</comments>
            <pubDate>Tue, 30 Mar 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3423718</guid>        </item>
        <item>
            <title>The burden of injuries in Iranian children in 2005</title>
            <link>http://www.medworm.com/index.php?rid=3423717&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F5</link>
            <description>Conclusions:
Injuries, particularly road transport injuries, were the most important health problem of children in Iran in 2003 and 2005. Strong social policy is needed to ensure child survival. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3423717</comments>
            <pubDate>Tue, 30 Mar 2010 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">3423717</guid>        </item>
        <item>
            <title>Statistical modeling of volume of alcohol exposure for epidemiological studies of population health: 
the US example</title>
            <link>http://www.medworm.com/index.php?rid=3334127&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F3</link>
            <description>Conclusions:
Modeling alcohol consumption via the gamma distribution was feasible. To further refine this approach, research should focus on the main assumptions underlying the approach to explore differences between volume estimates derived from surveys and per capita consumption figures. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3334127</comments>
            <pubDate>Thu, 04 Mar 2010 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">3334127</guid>        </item>
        <item>
            <title>The Summary Index of Malaria Surveillance (SIMS): a stable index of malaria within India</title>
            <link>http://www.medworm.com/index.php?rid=3261810&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F8%2F1%2F1</link>
            <description>Conclusions:
This measure should provide a useful tool for researchers looking to summarize geographic or temporal trends in malaria in India, and can be readily applied by administrators with no mathematical or scientific background. We include a spreadsheet that allows simple calculation of the index for researchers and local administrators. Similar principles are likely applicable worldwide, though further validation is needed before using the SIMS outside India. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3261810</comments>
            <pubDate>Thu, 11 Feb 2010 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">3261810</guid>        </item>
        <item>
            <title>Temporal analysis of the incidence of meningitis in the Tehran metropolitan area, 1999-2005</title>
            <link>http://www.medworm.com/index.php?rid=3118032&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F19</link>
            <description>Conclusion:
The epidemiology of meningitis in Iran follows similar patterns of age, sex, and seasonality distribution as found in other countries and populations. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3118032</comments>
            <pubDate>Wed, 23 Dec 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">3118032</guid>        </item>
        <item>
            <title>Further validation of the Multidimensional Fatigue Inventory in a US adult population sample</title>
            <link>http://www.medworm.com/index.php?rid=3091757&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F18</link>
            <description>Conclusions:
This study provides support for the MFI-20 as a valuable tool when used in chronically unwell and well populations. It also suggests that the MFI-20 could serve as a complementary diagnostic tool in fatiguing illnesses, such as CFS. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3091757</comments>
            <pubDate>Tue, 15 Dec 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">3091757</guid>        </item>
        <item>
            <title>Validity of self-reported weight, height, and body mass index among adult open university students in Thailand: Implications for population studies of obesity in developing countries</title>
            <link>http://www.medworm.com/index.php?rid=2831075&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F15</link>
            <description>Conclusions:
Young educated Thais under-report weight and over-report height in ways similar to their counterparts in developed countries. Simple adjustments to BMI thresholds will overcome these reporting biases for estimation of obesity prevalence. Our study suggests that self-reported weights and heights can provide economical and valid measures of weight status in high school-educated populations in developing countries. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2831075</comments>
            <pubDate>Thu, 24 Sep 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2831075</guid>        </item>
        <item>
            <title>Diabetes prevalence and diagnosis in US states: analysis of health surveys</title>
            <link>http://www.medworm.com/index.php?rid=2831074&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F16</link>
            <description>Conclusions:
Diabetes prevalence is highest in the Southern and Appalachian states and lowest in the Midwest and the Northeast. Better diabetes diagnosis is needed in a number of states. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2831074</comments>
            <pubDate>Thu, 24 Sep 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2831074</guid>        </item>
        <item>
            <title>The use of income information of census enumeration area as a proxy for the household income in a household survey</title>
            <link>http://www.medworm.com/index.php?rid=2818656&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F14</link>
            <description>Conclusions:
The structure of agreement/disagreement between quintiles of the household's monthly per capita income and quintiles of the head-of-household's mean nominal monthly income of the CEA, as well as the results produced by these measures when they were associated with the nutritional status of the population, showed that the CEA's income information can be used when income information at the individual or household levels is not available. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2818656</comments>
            <pubDate>Mon, 21 Sep 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2818656</guid>        </item>
        <item>
            <title>Are infant mortality rate declines exponential? 
The general pattern of 20th century infant mortality rate decline</title>
            <link>http://www.medworm.com/index.php?rid=2724132&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F13</link>
            <description>Conclusions:
The assumption that IMR declines are exponential is enshrined in the Preston curve and in nearly all cross-country as well as time series analyses of IMR data since Preston's 1975 paper, but this assumption is seldom correct. Statistical analyses of IMR trends should assess the robustness of findings to transformations other than the log transform. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2724132</comments>
            <pubDate>Sat, 22 Aug 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2724132</guid>        </item>
        <item>
            <title>Serbia within the European context: An analysis of premature mortality</title>
            <link>http://www.medworm.com/index.php?rid=2670022&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F12</link>
            <description>Conclusions:
With a premature mortality pattern, Serbia is placed in the middle position of the Europe triangle. The main excess of YLL in Serbia was due to cardiovascular, malignant diseases, and diabetes mellitus. The results may be used for assessment of unacceptable social risks resulting from health inequalities. Within intentions to reduce an unfavourable premature mortality gap, it is necessary to reconsider certain local polices and practices as well as financial and human resources incorporated in the prevention of disease and injury burden. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2670022</comments>
            <pubDate>Tue, 04 Aug 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2670022</guid>        </item>
        <item>
            <title>Mortality attributable to excess adiposity in England and Wales in 2003 and 2015: explorations with a spreadsheet implementation of the Comparative Risk Assessment methodology</title>
            <link>http://www.medworm.com/index.php?rid=2555210&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F11</link>
            <description>Conclusions:
Excess adiposity appears to contribute materially but modestly to mortality risks in England and Wales and this contribution is likely to increase in the future. Uncertainty centres on future trends of associated diseases, especially diabetes. The robustness of these estimates is limited by the lack of control for correlated risks by stratification and by the empirical uncertainty surrounding the effects of prolonged excess adiposity beginning before adulthood. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2555210</comments>
            <pubDate>Mon, 29 Jun 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2555210</guid>        </item>
        <item>
            <title>The burden of disease and injury in Iran 2003</title>
            <link>http://www.medworm.com/index.php?rid=2501377&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F9</link>
            <description>Conclusions:
The health and disease profile in Iran has made the transition from the dominance of communicable diseases to that of noncommunicable diseases and road traffic injuries. NBD results are to be used in health program planning, research, and resource allocation generation policies and practices. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2501377</comments>
            <pubDate>Sun, 14 Jun 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2501377</guid>        </item>
        <item>
            <title>An average / deprivation / inequality (ADI) analysis of chronic disease outcomes and risk factors in Argentina</title>
            <link>http://www.medworm.com/index.php?rid=2467314&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F8</link>
            <description>Conclusions:
The application of the ADI framework enables identification of the regions or groups worst-off for each outcome measure under study. This can be used to highlight the variation embedded within national averages; as such, it encourages a social perspective on population health indicators that is particularly attuned to issues of inequity. The ADI framework is an important tool in the evaluation of policies aiming to prevent or control chronic non-communicable diseases. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2467314</comments>
            <pubDate>Mon, 08 Jun 2009 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">2467314</guid>        </item>
        <item>
            <title>Estimating the incidence of lung cancer attributable to occupational exposure in Iran</title>
            <link>http://www.medworm.com/index.php?rid=2411861&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F7</link>
            <description>Conclusion:
The incidence of lung cancer due to occupational exposure is low in Iran and, as in other countries, more lung cancer is due to occupational exposure among males than females. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2411861</comments>
            <pubDate>Tue, 12 May 2009 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">2411861</guid>        </item>
        <item>
            <title>Assessing the repeatability of verbal autopsy for determining cause of death: two case studies among women of reproductive age in Burkina Faso and Indonesia</title>
            <link>http://www.medworm.com/index.php?rid=2395904&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F6</link>
            <description>Conclusions:
While these analyses do not address the validity of the VA process in absolute terms, repeatability is a prerequisite for intrinsic validity. This study thus adds new understanding to the quest for reliable cause of death assessment in communities lacking routine medical certification of deaths, and confirms the status of VA as an important and reliable tool at the community level, but perhaps less so at the individual level. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2395904</comments>
            <pubDate>Tue, 05 May 2009 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">2395904</guid>        </item>
        <item>
            <title>Multiple primary tumours: incidence estimation in the presence of competing risks</title>
            <link>http://www.medworm.com/index.php?rid=2322057&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F5</link>
            <description>Conclusions:
The increased risk of a cancer of the corpus uteri, also observed in other studies, is usually interpreted as the common shared risk factors such as low parity, early menarche and late onset of menopause. We also grouped together those cancers possibly associated to a previous local radiotherapy: the cumulative risk at 14 years is still not significant, however the AJ estimators showed a significant risk peak between the eighth and the ninth year.
Finally, the proposed approach has been shown to be reliable and informative under several aspects. It allowed for a correct estimation of the risk, and for investigating the time trend of the subsequent cancer occurrence. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2322057</comments>
            <pubDate>Wed, 01 Apr 2009 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">2322057</guid>        </item>
        <item>
            <title>Calculation of health expectancies with administrative data for North Rhine-Westphalia, a Federal State of Germany, 1999–2005</title>
            <link>http://www.medworm.com/index.php?rid=2322059&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F4</link>
            <description>Discussion and conclusionBoth health expectancies indicate an improvement in the quantity as well as in the quality of healthy life for the population living in North Rhine Westphalia and therefore suggest a compression of morbidity from 1999 to 2005. The findings however have several limitations in their sensitivity, since we applied dichotomous valuations to the health states. In addition, the results are restricted to comparisons over time because the morbidity concepts do not allow for comparisons with populations other than the German one. Refined calculations with other summary measures of population health and with health data on other morbidity concepts are therefore reasonable. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2322059</comments>
            <pubDate>Thu, 19 Mar 2009 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">2322059</guid>        </item>
        <item>
            <title>Calculation of Health Expectancies with Administrative Data for North Rhine-Westphalia, a Federal State of Germany, 1999-2005</title>
            <link>http://www.medworm.com/index.php?rid=2281901&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F4</link>
            <description>Discussion and conclusion
Both health expectancies indicate an improvement in the quantity as well as in the quality of healthy life for the population living in North Rhine Westphalia and therefore suggest a compression of morbidity from 1999 to 2005. The findings however have several limitations in their sensitivity since we applied dichotomous valuations to the health states. In addition, the results are restricted to comparisons over time because the morbidity concepts do not allow for comparisons with populations other than German. Refined calculations with other summary measures of population health and with health data on other morbidity concepts are therefore reasonable. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2281901</comments>
            <pubDate>Thu, 19 Mar 2009 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">2281901</guid>        </item>
        <item>
            <title>The episodic random utility model unifies time trade-off and discrete choice approaches in health state valuation</title>
            <link>http://www.medworm.com/index.php?rid=2099705&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F3</link>
            <description>Conclusions:
Episodic RUM expands upon the theoretical framework underlying health state valuation and contributes to health econometrics by motivating the selection of coefficient and exploded probit estimators for the analysis of TTO and rank responses. In future MVH surveys, sample size requirements may be reduced through the incorporation of multiple responses under a single estimator. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2099705</comments>
            <pubDate>Tue, 13 Jan 2009 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2099705</guid>        </item>
        <item>
            <title>The association of state per capita income and military service deaths in the Vietnam and Iraq wars</title>
            <link>http://www.medworm.com/index.php?rid=2082835&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F1</link>
            <description>Conclusions:
For military service members serving in the Vietnam and Iraq conflicts, there were many more women who died in the latter war. Whether war deaths resulted in lower per capita income cannot be determined from these cross sectional data; we simply note a strong association between per capita income and war casualty rates for both wars. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2082835</comments>
            <pubDate>Tue, 06 Jan 2009 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2082835</guid>        </item>
        <item>
            <title>A procedure to correct proxy-reported weight in the National Health Interview Survey, 1976-2002</title>
            <link>http://www.medworm.com/index.php?rid=2082834&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F7%2F1%2F2</link>
            <description>Conclusions:
It is imperative that researchers who use reported estimates of height and weight think carefully about flaws in their data and how existing correction procedures might fail to account for them. The development of this particular correction procedure represents an important step toward improving the quality of BMI estimates in a widely used source of epidemiologic data. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2082834</comments>
            <pubDate>Tue, 06 Jan 2009 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2082834</guid>        </item>
        <item>
            <title>Disability Adjusted Life Years and minimal disease: application of a preference-based relevance criterion to rank enteric pathogens.</title>
            <link>http://www.medworm.com/index.php?rid=2068809&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F6%2F1%2F7</link>
            <description>Conclusions:
Individual preferences elicited with the TTO from a population panel can be used to empirically derive a relevance criterion for burden of disease estimates. Application of this preference-based relevance criterion results in considerable changes in ranking of foodborne pathogens. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2068809</comments>
            <pubDate>Mon, 29 Dec 2008 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2068809</guid>        </item>
        <item>
            <title>Rescaling quality of life values from discrete choice experiments for use as QALYs: a cautionary tale</title>
            <link>http://www.medworm.com/index.php?rid=1899114&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F6%2F1%2F6</link>
            <description>Conclusions:
Use of a statistical model such as conditional (multinomial) regression to anchor quality of life values from ordinal data to death is inappropriate in the presence of respondents who do not conform to the assumptions of conventional random utility theory. This is clearest when estimating values for that group of respondents observed in valuation samples who refuse to consider any living state to be worse than death: in such circumstances the model cannot be estimated. Only a valuation task requiring respondents to make choices in which both length and quality of life vary can produce estimates that properly reflect the preferences of all respondents. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1899114</comments>
            <pubDate>Wed, 22 Oct 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1899114</guid>        </item>
        <item>
            <title>Using remotely sensed night-time light as a proxy for poverty in Africa</title>
            <link>http://www.medworm.com/index.php?rid=1893463&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F6%2F1%2F5</link>
            <description>Background:
Population health is linked closely to poverty. To assess the effectiveness of health interventions it is critical to monitor the spatial and temporal changes in the health indicators of populations and outcomes across varying levels of poverty. Existing measures of poverty based on income, consumption or assets are difficult to compare across geographic settings and are expensive to construct. Remotely sensed data on artificial night time lights (NTL) have been shown to correlate with gross domestic product in developed countries.
Methods:
Using national household survey data, principal component analysis was used to compute asset-based poverty indices from aggregated household asset variables at the Administrative 1 level (n=338) in 37 countries in Africa. Using geographical ...</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1893463</comments>
            <pubDate>Tue, 21 Oct 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1893463</guid>        </item>
        <item>
            <title>Maternal mortality in South Africa in 2001: From demographic census to epidemiological investigation</title>
            <link>http://www.medworm.com/index.php?rid=1781504&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F6%2F1%2F4</link>
            <description>Conclusion:
Demographic census microdata offer the opportunity to conduct an epidemiologic analysis of maternal mortality. In the case of South Africa, the level of MMR increased dramatically over the past 10 years, most likely because of HIV/AIDS. Indirect causes of maternal deaths appear much more important than direct obstetric causes. The MMR appears no longer to be a reliable measure of the quality of obstetric care or a measure of safe motherhood. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1781504</comments>
            <pubDate>Thu, 21 Aug 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1781504</guid>        </item>
        <item>
            <title>Maternal mortality in South Africa in 2001:
from demographic census to epidemiological investigation</title>
            <link>http://www.medworm.com/index.php?rid=1722273&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F6%2F1%2F4</link>
            <description>Conclusions:
Demographic census microdata offer the opportunity to conduct an epidemiologic analysis of maternal mortality. In the case of South Africa, the level of MMR increased dramatically over the past 10 years, most likely because of HIV/AIDS. Indirect causes of maternal deaths appear much more important than direct obstetric causes. The MMR appears no longer to be a reliable measure of the quality of obstetric care or a measure of safe motherhood. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1722273</comments>
            <pubDate>Thu, 21 Aug 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1722273</guid>        </item>
        <item>
            <title>Cause of death in Washington state veterans hospitalized with acute coronary syndromes in the Veterans Health Administration</title>
            <link>http://www.medworm.com/index.php?rid=1644527&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F6%2F1%2F3</link>
            <description>Conclusions:
These preliminary findings suggest that it is important to consider secondary causes as well as the underlying one when classifying deaths as cardiac or non-cardiac. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1644527</comments>
            <pubDate>Wed, 23 Jul 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1644527</guid>        </item>
        <item>
            <title>Population survey sampling methods in a rural African setting: measuring mortality</title>
            <link>http://www.medworm.com/index.php?rid=1453021&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F6%2F1%2F2</link>
            <description>Conclusion:
Sample surveys are able to provide useful demographic and health profiles of local populations. However, various parameters being measured and their distribution within the sampling unit of interest may not all be best represented by a particular sampling method. It is likely therefore that compromises may have to be made in choosing a sampling strategy, with costs, logistics the intended use of the data being important considerations. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1453021</comments>
            <pubDate>Tue, 20 May 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1453021</guid>        </item>
        <item>
            <title>The burden of disease profile of residents of Nairobi's slums: Results from a Demographic Surveillance System</title>
            <link>http://www.medworm.com/index.php?rid=1290536&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F6%2F1%2F1</link>
            <description>Conclusions:
Slum residents in Nairobi have a high mortality burden from preventable and treatable conditions. It is necessary to focus on these vulnerable populations since their health outcomes are comparable to or even worse than the health outcomes of rural dwellers who are often the focus of most interventions. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1290536</comments>
            <pubDate>Mon, 10 Mar 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1290536</guid>        </item>
        <item>
            <title>DSS and DHS: longitudinal and cross-sectional viewpoints on child and adolescent mortality in Ethiopia</title>
            <link>http://www.medworm.com/index.php?rid=1118633&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F5%2F1%2F12</link>
            <description>Conclusions:
Both DSS and DHS approaches to mortality surveillance gave similar overall results, but both showed method-dependent advantages and disadvantages. In many settings, this kind of joint-source data analysis could offer significant added value to results. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1118633</comments>
            <pubDate>Thu, 27 Dec 2007 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">1118633</guid>        </item>
        <item>
            <title>Modeling human papillomavirus and cervical cancer in the United States for analyses of screening and vaccination</title>
            <link>http://www.medworm.com/index.php?rid=987831&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F5%2F1%2F11</link>
            <description>Conclusions:
We demonstrate an approach to parameterization, calibration and performance evaluation for a U.S. cervical cancer microsimulation model intended to provide qualitative and quantitative inputs into decisions that must be taken before long-term data on vaccination outcomes become available. This approach allows for a rigorous and comprehensive description of policy-relevant uncertainty about health outcomes under alternative cancer prevention strategies. The model provides a tool that can accommodate new information, and can be modified as needed, to iteratively assess the expected benefits, costs, and cost-effectiveness of different policies in the U.S. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=987831</comments>
            <pubDate>Mon, 29 Oct 2007 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">987831</guid>        </item>
        <item>
            <title>Comparing the health of low income and less well educated groups in the United States and Canada</title>
            <link>http://www.medworm.com/index.php?rid=955096&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F5%2F1%2F10</link>
            <description>Conclusions:
On average, population health in Canada and the US is similar. However, health disparities between Canadians and Americans exist at lower levels of education and income with Americans worse off. The results highlight the usefulness of continuous preference-based measures of population health such as the HUI3. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=955096</comments>
            <pubDate>Tue, 16 Oct 2007 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">955096</guid>        </item>
        <item>
            <title>A six-year descriptive analysis of hospitalisations for ambulatory care sensitive conditions among people born in refugee-source countries</title>
            <link>http://www.medworm.com/index.php?rid=923383&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F5%2F1%2F9</link>
            <description>Conclusions:
Contrary to our hypothesis, preventable hospitalisation rates among people born in refugee-source countries were no higher than Australia-born population averages. More research is needed to elucidate whether low rates of preventable hospitalisation indicate better health status, appropriate health habits, timely and effective care-seeking behaviour and outpatient care, or overall low levels of health care-seeking due to other more pressing needs during the initial period of resettlement. It is important to unpack dimensions of health status and health care access in refugee populations through ad-hoc surveys as the refugee population is not a homogenous group despite sharing a common experience of forced displacement and violence-related trauma. (Source: Population Health Met...</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=923383</comments>
            <pubDate>Wed, 03 Oct 2007 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">923383</guid>        </item>
        <item>
            <title>Model for estimating the population prevalence of chronic obstructive pulmonary disease:  cross sectional data from the Health Survey for England</title>
            <link>http://www.medworm.com/index.php?rid=904288&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F5%2F1%2F8</link>
            <description>Conclusion:
The model can be used to estimate population prevalence of COPD from large general practices to national level, and as a tool to identify areas of high levels of unmet needs for COPD priority health actions. The results from the model highlight the importance of including variables other than age, sex and smoking, i.e. levels of deprivation, urbanisation and ethnicity, when estimating population prevalence of COPD. The model should be validated at local level and incorporated into case-finding strategies. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=904288</comments>
            <pubDate>Wed, 26 Sep 2007 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">904288</guid>        </item>
        <item>
            <title>Differential mortality in Iran</title>
            <link>http://www.medworm.com/index.php?rid=763370&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F5%2F1%2F7</link>
            <description>Conclusions:
Substantial differences in survival exist among the provinces of Iran. While the completeness of the death registration system operated by the Iranian MOH&amp;ME appears to be acceptable in the majority of provinces, further efforts are needed to improve the quality of data on mortality in Iran, and to expand death registration to Tehran province. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=763370</comments>
            <pubDate>Sat, 28 Jul 2007 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">763370</guid>        </item>
        <item>
            <title>Prevalence of chronic fatigue syndrome in metropolitan, urban, and rural Georgia</title>
            <link>http://www.medworm.com/index.php?rid=664915&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F5%2F1%2F5</link>
            <description>Conclusions:
We estimated that 2.54% of the Georgia population suffers from CFS, which is 6 to 10 fold higher than previous population-based estimates in other geographic areas. These differences may reflect broader screening criteria and differences in the application of the case definition, however we cannot exclude the possibility that CFS prevalence may be higher in Georgia than other areas where it has been measured. Although the study did not identify differences in overall prevalence between metropolitan, urban, and rural Georgia populations, it did suggest the need for additional stratified analyses by geographic strata. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=664915</comments>
            <pubDate>Fri, 08 Jun 2007 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">664915</guid>        </item>
        <item>
            <title>How common is chronic fatigue syndrome; how long is a piece of string?</title>
            <link>http://www.medworm.com/index.php?rid=664914&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F5%2F1%2F6</link>
            <description>Commentary on
Prevalence of chronic fatigue syndrome in metropolitan, urban, and rural Georgia
William C Reeves, James F Jones, Elizabeth Maloney, Christine Heim, David C Hoaglin, Roumiana S Boneva, Marjorie Morrissey and Rebecca Devlin (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=664914</comments>
            <pubDate>Fri, 08 Jun 2007 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">664914</guid>        </item>
        <item>
            <title>Descriptive epidemiology of selected birth defects, areas of Lombardy, Italy, 1999</title>
            <link>http://www.medworm.com/index.php?rid=633914&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F5%2F1%2F4</link>
            <description>Conclusions:
This is the first population-based analysis on selected major birth defects in the Region. The high birth prevalence for septal heart defect and hypospadias are probably due to inclusion of minor defects and lack of coding standardization; the latter problem also seems important for other defects. However the data produced are useful for estimating the demands made on the health system by babies with birth defects. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=633914</comments>
            <pubDate>Fri, 25 May 2007 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">633914</guid>        </item>
        <item>
            <title>Investigating the spatial risk distribution of West Nile virus disease in birds and humans in southern Ontario from 2002 to 2005</title>
            <link>http://www.medworm.com/index.php?rid=602944&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F5%2F1%2F3</link>
            <description>Conclusions:
The study indicates a significant relationship between the spatial pattern of WNv risk in humans and birds. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=602944</comments>
            <pubDate>Tue, 01 May 2007 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">602944</guid>        </item>
        <item>
            <title>Revealing the burden of maternal mortality: a probabilistic model for determining pregnancy-related causes of death from verbal autopsies</title>
            <link>http://www.medworm.com/index.php?rid=408401&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F5%2F1%2F1</link>
            <description>Conclusion:
InterVA-M represents a potentially valuable new tool for measuring maternal mortality in an efficient, consistent and standardised way. Further development, refinement and validation are planned. It could become a routine tool in research and service settings where levels and changes in pregnancy-related deaths need to be measured, for example in assessing progress towards MDG-5. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=408401</comments>
            <pubDate>Thu, 08 Feb 2007 07:00:00 +0100</pubDate>
            <guid isPermaLink="false">408401</guid>        </item>
        <item>
            <title>An ecometric analysis of neighbourhood cohesion</title>
            <link>http://www.medworm.com/index.php?rid=329560&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F17</link>
            <description>Conclusions:
Assessment of the properties of the adapted neighbourhood cohesion scale using factor analysis and ecometric analysis extended to an ordinal scale has shown that the items allow fine discrimination between individuals. However, large sample sizes are needed in order to accurately estimate contextual neighbourhood cohesion. The scale is therefore appropriate for use in the measurement of neighbourhood cohesion at small-area-level in future studies of neighbourhoods and health. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=329560</comments>
            <pubDate>Thu, 21 Dec 2006 07:00:00 +0100</pubDate>
            <guid isPermaLink="false">329560</guid>        </item>
        <item>
            <title>Improving knowledge about disability transitions by adding retrospective information to panel surveys. Population Health Metrics</title>
            <link>http://www.medworm.com/index.php?rid=323019&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F16</link>
            <description>Conclusions:
Our results suggest that the value of future panel studies for estimating transitions in disability could be notably enhanced by adding a small number of questions asking respondents for details about their disabilities--and lack of disabilities--in the period since a preceding survey wave. Information provided by such questions could substantially improve both the measurement of disability histories and estimates of disability processes. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=323019</comments>
            <pubDate>Wed, 13 Dec 2006 07:00:00 +0100</pubDate>
            <guid isPermaLink="false">323019</guid>        </item>
        <item>
            <title>Hypnotic use in a population-based sample of over thirty-five thousand interviewed Canadians</title>
            <link>http://www.medworm.com/index.php?rid=289096&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F15</link>
            <description>Conclusion: The observation that benzodiazepine use is more frequent in women, increases with age and is higher in low income and education groups supports previous findings. These results help to confirm that these differences are not accounted for by psychiatric diagnoses. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=289096</comments>
            <pubDate>Fri, 24 Nov 2006 07:00:00 +0100</pubDate>
            <guid isPermaLink="false">289096</guid>        </item>
        <item>
            <title>Deriving utility scores for co-morbid conditions: A test of the multiplicative model for combining individual condition scores</title>
            <link>http://www.medworm.com/index.php?rid=256582&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F13</link>
            <description>No abstract available (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=256582</comments>
            <pubDate>Tue, 31 Oct 2006 07:00:00 +0100</pubDate>
            <guid isPermaLink="false">256582</guid>        </item>
        <item>
            <title>Burden of premature mortality in rural Vietnam from 1999 – 2003: analyses from a Demographic Surveillance Site</title>
            <link>http://www.medworm.com/index.php?rid=172738&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F9</link>
            <description>Conclusion:
The combination of localised demographic surveillance, verbal autopsy and the application of YLL methods enable new insights into the magnitude and importance of significant public health issues in settings where evidence for planning is otherwise scarce. Local mortality data vary considerably from the WHO model-based estimates. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=172738</comments>
            <pubDate>Tue, 08 Aug 2006 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">172738</guid>        </item>
        <item>
            <title>Burden of premature mortality in rural Vietnam from 1999 - 2003: analyses from a Demographic Surveillance Site</title>
            <link>http://www.medworm.com/index.php?rid=139044&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F9</link>
            <description>Conclusion. The combination of localised demographic surveillance, verbal autopsy and the application of YLL methods enable new insights into the magnitude and importance of significant public health issues in settings where evidence for planning is otherwise scarce. Local mortality data vary considerably from the WHO model-based estimates. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=139044</comments>
            <pubDate>Tue, 08 Aug 2006 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">139044</guid>        </item>
        <item>
            <title>Predictors of self-rated health: A 12-month prospective study of IT and media workers</title>
            <link>http://www.medworm.com/index.php?rid=134232&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F8</link>
            <description>Conclusion:
The results of the present study indicate that baseline SRH and other self-ratings are predictive of future SRH. It is cautiously implied that SRH, self-esteem, social support, sleep quality and sense of coherence might be predictors of future SRH and therefore possibly also of various future health outcomes. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=134232</comments>
            <pubDate>Mon, 31 Jul 2006 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">134232</guid>        </item>
        <item>
            <title>Transition to the new race/ethnicity data collection standards in the Department of Veterans Affairs</title>
            <link>http://www.medworm.com/index.php?rid=90266&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F7</link>
            <description>Conclusions:
For overall VA healthcare users, the agreement between observer-recorded and self-reported race/ethnicity was excellent and observer-recorded and self-reported data can be used together for multi-year trends without creating serious bias. However, this study also showed that observation was not a reliable method of race/ethnicity data collection for non-African American minorities and racial disparity might be underestimated if observer-recorded data are used due to systematic patterns of inaccurate race/ethnicity assignments. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=90266</comments>
            <pubDate>Thu, 06 Jul 2006 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">90266</guid>        </item>
        <item>
            <title>Place-of-residence errors on death certificates for two contiguous U. S. counties</title>
            <link>http://www.medworm.com/index.php?rid=78633&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F6</link>
            <description>Conclusions:
This study demonstrated a large error rate (14%) in recording county of residence for deaths in one county. A similar rate was not seen in an adjacent county. We believe that errors may have arisen in part from use of internet programs by funeral homes to assign the county of residence. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=78633</comments>
            <pubDate>Mon, 26 Jun 2006 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">78633</guid>        </item>
        <item>
            <title>Diabetes and urbanization in the Omani population: an analysis of national survey data</title>
            <link>http://www.medworm.com/index.php?rid=14679&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F5</link>
            <description>Conclusion:
A high prevalence of diabetes, obesity, hypertension and high cholesterol exist in the Omani population, particularly among urban-dwellers and older individuals. It is vital to continue monitoring chronic disease in Oman and to direct public health policy towards preventing an epidemic. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=14679</comments>
            <pubDate>Mon, 24 Apr 2006 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">14679</guid>        </item>
        <item>
            <title>Severity of self-reported diseases and symptoms in Denmark</title>
            <link>http://www.medworm.com/index.php?rid=14681&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F3</link>
            <description>Conclusion:
In 1994 the Danes most frequently reported musculoskeletal symptoms and diseases. Psychiatric disorders and respiratory diseases were identified as the most severe reported diseases. Due to the interaction between socio-economic status and some diseases, severity estimates should be interpreted with caution or stratified by socio-economic groups. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=14681</comments>
            <pubDate>Tue, 18 Apr 2006 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">14681</guid>        </item>
        <item>
            <title>Adjusting for dependent comorbidity in the calculation of healthy life expectancy</title>
            <link>http://www.medworm.com/index.php?rid=14680&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F4</link>
            <description>Conclusion:
The available evidence suggests that dependent comorbidity is important, and that adjustment for it makes a significant difference to resulting HALE estimates for some regions of the world. Given the data limitations, we recommend a normative adjustment based on the available evidence, and applied consistently across all countries. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=14680</comments>
            <pubDate>Tue, 18 Apr 2006 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">14680</guid>        </item>
        <item>
            <title>Disability weights for comorbidity and their influence on Health-adjusted Life Expectancy</title>
            <link>http://www.medworm.com/index.php?rid=14683&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F1</link>
            <description>Conclusions:
The differences in HALE caused by the different adjustment methods demonstrate that adjusting for comorbidity in HALE calculations is an important topic that deserves more attention. More empirical research is needed to develop a more general theory as to how comorbidity influences disability. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=14683</comments>
            <pubDate>Mon, 10 Apr 2006 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">14683</guid>        </item>
        <item>
            <title>Accuracy and completeness of mortality data in the Department of Veterans Affairs</title>
            <link>http://www.medworm.com/index.php?rid=14682&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F4%2F1%2F2</link>
            <description>Conclusion:
The BIRLS Death File is not an adequate source of mortality data for the VA population due to incompleteness. When the four sources of mortality data are carefully combined, the resulting dataset can provide more timely data for death ascertainment than the National Death Index and has comparable accuracy and completeness. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=14682</comments>
            <pubDate>Mon, 10 Apr 2006 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">14682</guid>        </item>
        <item>
            <title>Describing the longitudinal course of major depression using Markov models: Data integration across three national surveys</title>
            <link>http://www.medworm.com/index.php?rid=14684&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F3%2F1%2F11</link>
            <description>Conclusion:
Markov models provide a framework for integrating psychiatric epidemiological data. Previous studies have illustrated the utility of Markov models for decomposing prevalence into its various determinants: incidence, recovery and mortality. This study extends the Markov approach by distinguishing several recurrence categories. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=14684</comments>
            <pubDate>Tue, 15 Nov 2005 07:00:00 +0100</pubDate>
            <guid isPermaLink="false">14684</guid>        </item>
        <item>
            <title>Trading people versus trading time: What is the difference?</title>
            <link>http://www.medworm.com/index.php?rid=14685&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F3%2F1%2F10</link>
            <description>Conclusion:
When lives are at stake, within the context of a PTO elicitation, people are more likely to consider non-maximizing principles, including the importance of equal access to a life-saving treatment, avoiding prejudice or discrimination, and in rare cases giving treatment priority based purely on the position of being worse-off. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=14685</comments>
            <pubDate>Thu, 10 Nov 2005 07:00:00 +0100</pubDate>
            <guid isPermaLink="false">14685</guid>        </item>
        <item>
            <title>Collection of population-based cancer staging information in Western Australia – a feasibility study</title>
            <link>http://www.medworm.com/index.php?rid=14686&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F3%2F1%2F9</link>
            <description>Conclusion:
Adding stage to routinely collected information in a cancer registry is possible for many cancer types, particularly if the assumptions regarding missing data are found to be acceptable or if the guidelines for MX = M0 asumptions are clarified. These findings should be generalizable to most cancer registries in developed countries, if hospital-based cancer registries or other specialized databases are accessible. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=14686</comments>
            <pubDate>Wed, 17 Aug 2005 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">14686</guid>        </item>
        <item>
            <title>Psychometric properties of the CDC Symptom Inventory for assessment of Chronic Fatigue Syndrome</title>
            <link>http://www.medworm.com/index.php?rid=14687&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F3%2F1%2F8</link>
            <description>Conclusion:
The Symptom Inventory appears to be a reliable and valid instrument to assess symptoms that accompany CFS. It is a positive addition to existing instruments measuring fatigue because it allows other dimensions of the illness to be assessed. Further research is needed to confirm and replicate the current findings in a normative population. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=14687</comments>
            <pubDate>Fri, 22 Jul 2005 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">14687</guid>        </item>
        <item>
            <title>Assessment of the health of Americans: the average health-related quality of life and its inequality across individuals and groups</title>
            <link>http://www.medworm.com/index.php?rid=14688&amp;cid=s_31020_54_f&amp;fid=31020&amp;url=http%3A%2F%2Fwww.pophealthmetrics.com%2Fcontent%2F3%2F1%2F7</link>
            <description>Conclusion:
The average HRQL of Americans was the same in 1990 and 1995, but inequality in HRQL across individuals was greater in 1995 than 1990. Inequality in HRQL by race was smaller in 1995 than 1990 because race had smaller effect on the way health was distributed in 1995 than 1990. Analysis of the average HRQL and its inequality provides information on the health of a population invisible in the traditional analysis of population health. (Source: Population Health Metrics)</description>
            <author>Population Health Metrics</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=14688</comments>
            <pubDate>Wed, 13 Jul 2005 06:00:00 +0100</pubDate>
            <guid isPermaLink="false">14688</guid>        </item>
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