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      Integrated disease prevention campaigns: assessing country opportunity for implementation via an index approach

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          Abstract

          Objectives

          To help stakeholders identify and prioritise countries with the best opportunities for implementation of an integrated prevention campaign (IPC) focused on diarrhoea, malaria and HIV prevention.

          Design

          Cross-sectional analysis of country-specific epidemiological data using an index tool developed for this purpose.

          Setting

          We calculated the total disability-adjusted life years (DALYs) attributed to diarrhoea, malaria and HIV for 214 World Bank economies. Criteria for inclusion were: low-income and middle-income countries, and total annual DALY burden in the top tertile (≥87 000 DALYs). 70 countries met inclusion criteria and were included in our opportunity analysis.

          Outcome measures

          We synthesised data on 10 indicators related to the potential reduction in burden and new coverage achievable by an IPC. We scored and ranked countries based on three summary opportunity metrics: DALYs per capita across the diseases, a composite score of tertile rankings of burden for each disease, and a score combining burden and intervention opportunity.

          Results

          We estimated the total annual global burden attributable to diarrhoea, malaria and HIV at 135 million DALYs. All of the countries with the highest opportunity for implementation of a diarrhoea, malaria and HIV IPC are in sub-Saharan Africa, regardless of opportunity metric used. Although the overall rank order changes, 16 countries rank among the top 23 highest opportunity countries for all three metrics.

          Conclusions

          Stakeholders can use this objective metric-based approach to prioritise countries for IPC scale-up. Priority countries are largely robust to the opportunity metric chosen.

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          Most cited references17

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          Global, regional, and national causes of child mortality in 2008: a systematic analysis

          The Lancet, 375(9730), 1969-1987
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            Diarrhea incidence in low- and middle-income countries in 1990 and 2010: a systematic review

            Background Diarrhea is recognized as a leading cause of morbidity and mortality among children under 5 years of age in low- and middle-income countries yet updated estimates of diarrhea incidence by age for these countries are greatly needed. We conducted a systematic literature review to identify cohort studies that sought to quantify diarrhea incidence among any age group of children 0-59 mo of age. Methods We used the Expectation-Maximization algorithm as a part of a two-stage regression model to handle diverse age data and overall incidence rate variation by study to generate country specific incidence rates for low- and middle-income countries for 1990 and 2010. We then calculated regional incidence rates and uncertainty ranges using the bootstrap method, and estimated the total number of episodes for children 0-59 mo of age in 1990 and 2010. Results We estimate that incidence has declined from 3.4 episodes/child year in 1990 to 2.9 episodes/child year in 2010. As was the case previously, incidence rates are highest among infants 6-11 mo of age; 4.5 episodes/child year in 2010. Among these 139 countries there were nearly 1.9 billion episodes of childhood diarrhea in 1990 and nearly 1.7 billion episodes in 2010. Conclusions Although our results indicate that diarrhea incidence rates may be declining slightly, the total burden on the health of each child due to multiple episodes per year is tremendous and additional funds are needed to improve both prevention and treatment practices in low- and middle-income countries.
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              Equity in maternal, newborn, and child health interventions in Countdown to 2015: a retrospective review of survey data from 54 countries.

              Countdown to 2015 tracks progress towards achievement of Millennium Development Goals (MDGs) 4 and 5, with particular emphasis on within-country inequalities. We assessed how inequalities in maternal, newborn, and child health interventions vary by intervention and country. We reanalysed data for 12 maternal, newborn, and child health interventions from national surveys done in 54 Countdown countries between Jan 1, 2000, and Dec 31, 2008. We calculated coverage indicators for interventions according to standard definitions, and stratified them by wealth quintiles on the basis of asset indices. We assessed inequalities with two summary indices for absolute inequality and two for relative inequality. Skilled birth attendant coverage was the least equitable intervention, according to all four summary indices, followed by four or more antenatal care visits. The most equitable intervention was early initation of breastfeeding. Chad, Nigeria, Somalia, Ethiopia, Laos, and Niger were the most inequitable countries for the interventions examined, followed by Madagascar, Pakistan, and India. The most equitable countries were Uzbekistan and Kyrgyzstan. Community-based interventions were more equally distributed than those delivered in health facilities. For all interventions, variability in coverage between countries was larger for the poorest than for the richest individuals. We noted substantial variations in coverage levels between interventions and countries. The most inequitable interventions should receive attention to ensure that all social groups are reached. Interventions delivered in health facilities need specific strategies to enable the countries' poorest individuals to be reached. The most inequitable countries need additional efforts to reduce the gap between the poorest individuals and those who are more affluent. Bill & Melinda Gates Foundation, Norad, The World Bank. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2014
                19 March 2014
                : 4
                : 3
                : e004308
                Affiliations
                [1 ]Health Strategies International , Arlington, Virginia, USA
                [2 ]Department of Epidemiology, University of Washington , Seattle, Washington, USA
                [3 ]Philip R. Lee Institute for Health Policy Studies, University of California , San Francisco, California, USA
                [4 ]Global Health Sciences, University of California , San Francisco, California, USA
                [5 ]Department of International Health, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA
                [6 ]Department of Global Health, University of Washington , Seattle, Washington, USA
                [7 ]Health Strategies International , Oakland, California, USA
                [8 ]Departments of Global Health, Medicine, Pediatrics, and Epidemiology, University of Washington , Seattle, Washington, USA
                Author notes
                [Correspondence to ] Aliya Jiwani; ajiwani@ 123456gmail.com
                Article
                bmjopen-2013-004308
                10.1136/bmjopen-2013-004308
                3963065
                24647447
                8f7ab1bb-e3b2-4baa-a25d-31a9d5e1ac0c
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/

                History
                : 22 October 2013
                : 19 February 2014
                : 20 February 2014
                Categories
                Health Services Research
                Research
                1506
                1704
                1842
                1730
                1699
                1703

                Medicine
                epidemiology
                Medicine
                epidemiology

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