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      Effective Coverage: A Metric for Monitoring Universal Health Coverage

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          Abstract

          As part of the PLOS Collection on Universal Health Coverage, Stephen Lim and colleagues review the concept of effective coverage and discuss the ways in which current health information systems can support generating estimates of effective coverage.

          Abstract

          A major challenge in monitoring universal health coverage (UHC) is identifying an indicator that can adequately capture the multiple components underlying the UHC initiative. Effective coverage, which unites individual and intervention characteristics into a single metric, offers a direct and flexible means to measure health system performance at different levels. We view effective coverage as a relevant and actionable metric for tracking progress towards achieving UHC. In this paper, we review the concept of effective coverage and delineate the three components of the metric — need, use, and quality — using several examples. Further, we explain how the metric can be used for monitoring interventions at both local and global levels. We also discuss the ways that current health information systems can support generating estimates of effective coverage. We conclude by recognizing some of the challenges associated with producing estimates of effective coverage. Despite these challenges, effective coverage is a powerful metric that can provide a more nuanced understanding of whether, and how well, a health system is delivering services to its populations.

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          Most cited references26

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          Trends in prevalence, awareness, treatment, and control of hypertension in the United States, 1988-2000.

          Prior analyses of National Health and Nutrition Examination Survey (NHANES) data through 1991 have suggested that hypertension prevalence is declining, but more recent self-reported rates of hypertension suggest that the rate is increasing. To describe trends in the prevalence, awareness, treatment, and control of hypertension in the United States using NHANES data. Survey using a stratified multistage probability sample of the civilian noninstitutionalized population. The most recent NHANES survey, conducted in 1999-2000 (n = 5448), was compared with the 2 phases of NHANES III conducted in 1988-1991 (n = 9901) and 1991-1994 (n = 9717). Individuals aged 18 years or older were included in this analysis. Hypertension, defined as a measured blood pressure of 140/90 mm Hg or greater or reported use of antihypertensive medications. Hypertension awareness and treatment were assessed with standardized questions. Hypertension control was defined as treatment with antihypertensive medication and a measured blood pressure of less than 140/90 mm Hg. In 1999-2000, 28.7% of NHANES participants had hypertension, an increase of 3.7% (95% confidence interval [CI], 0%-8.3%) from 1988-1991. Hypertension prevalence was highest in non-Hispanic blacks (33.5%), increased with age (65.4% among those aged > or =60 years), and tended to be higher in women (30.1%). In a multiple regression analysis, increasing age, increasing body mass index, and non-Hispanic black race/ethnicity were independently associated with increased rates of hypertension. Overall, in 1999-2000, 68.9% were aware of their hypertension (nonsignificant decline of -0.3%; 95% CI, -4.2% to 3.6%), 58.4% were treated (increase of 6.0%; 95% CI, 1.2%-10.8%), and hypertension was controlled in 31.0% (increase of 6.4%; 95% CI, 1.6%-11.2%). Women, Mexican Americans, and those aged 60 years or older had significantly lower rates of control compared with men, younger individuals, and non-Hispanic whites. Contrary to earlier reports, hypertension prevalence is increasing in the United States. Hypertension control rates, although improving, continue to be low. Programs targeting hypertension prevention and treatment are of utmost importance.
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            Delivering affordable cancer care in high-income countries.

            The burden of cancer is growing, and the disease is becoming a major economic expenditure for all developed countries. In 2008, the worldwide cost of cancer due to premature death and disability (not including direct medical costs) was estimated to be US$895 billion. This is not simply due to an increase in absolute numbers, but also the rate of increase of expenditure on cancer. What are the drivers and solutions to the so-called cancer-cost curve in developed countries? How are we going to afford to deliver high quality and equitable care? Here, expert opinion from health-care professionals, policy makers, and cancer survivors has been gathered to address the barriers and solutions to delivering affordable cancer care. Although many of the drivers and themes are specific to a particular field-eg, the huge development costs for cancer medicines-there is strong concordance running through each contribution. Several drivers of cost, such as over-use, rapid expansion, and shortening life cycles of cancer technologies (such as medicines and imaging modalities), and the lack of suitable clinical research and integrated health economic studies, have converged with more defensive medical practice, a less informed regulatory system, a lack of evidence-based sociopolitical debate, and a declining degree of fairness for all patients with cancer. Urgent solutions range from re-engineering of the macroeconomic basis of cancer costs (eg, value-based approaches to bend the cost curve and allow cost-saving technologies), greater education of policy makers, and an informed and transparent regulatory system. A radical shift in cancer policy is also required. Political toleration of unfairness in access to affordable cancer treatment is unacceptable. The cancer profession and industry should take responsibility and not accept a substandard evidence base and an ethos of very small benefit at whatever cost; rather, we need delivery of fair prices and real value from new technologies. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Measuring sexual behaviour: methodological challenges in survey research.

              K Fenton (2001)
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                Author and article information

                Journal
                PLoS Med
                PLoS Med
                PLoS
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, USA )
                1549-1277
                1549-1676
                September 2014
                22 September 2014
                : 11
                : 9
                : e1001730
                Affiliations
                [1]Institute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, Washington, United States of America
                Author notes

                SL is a member of the Editorial Board of PLOS Medicine.

                Wrote the first draft of the manuscript: MN. Contributed to the writing of the manuscript: MN ADF NF CJLM SSL JLD. ICMJE criteria for authorship read and met: MN ADF NF CJLM SSL JLD. Agree with manuscript results and conclusions: MN ADF NF CJLM SSL JLD.

                Collection Review articles synthesize in narrative form the best available evidence on a topic. Submission of Collection Review articles is by invitation only, and they are only published as part of a PLOS Collection as agreed in advance by the PLOS Medicine Editors.

                Article
                PMEDICINE-D-14-00277
                10.1371/journal.pmed.1001730
                4171091
                25243780
                51d56289-f4ca-481a-b233-b6ea68441b5c
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Page count
                Pages: 9
                Funding
                No specific funding was received for this study.
                Categories
                Collection Review
                Medicine and Health Sciences
                Health Care
                Primary Care
                Public and Occupational Health
                Global Health

                Medicine
                Medicine

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