Progress toward Global Reduction in Under-Five Mortality: A Bootstrap Analysis of Uncertainty in Millennium Development Goal 4 Estimates
Background:
Millennium Development Goal 4 calls for an annual rate of reduction (ARR) of the under-five mortality rate (U5MR) of 4.4% between 1990 and 2015. Progress is measured through the point estimates of the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME). To facilitate evidence-based conclusions about progress toward the goal, we assessed the uncertainty in the estimates arising from sampling errors and biases in data series and the inferior quality of specific data series.
Methods and Findings:
We implemented a bootstrap procedure to construct 90% uncertainty intervals (UIs) for the U5MR and ARR to complement the UN IGME estimates. We constructed the bounds for all countries without a generalized HIV epidemic, where a standard estimation approach is carried out (174 countries). In the bootstrap procedure, potential biases in levels and trends of data series of different source types were accounted for. There is considerable uncertainty about the U5MR, particularly for high mortality countries and in recent years. Among 86 countries with a U5MR of at least 40 deaths per 1,000 live births in 1990, the median width of the UI, relative to the U5MR level, was 19% for 1990 and 48% for 2011, with the increase in uncertainty due to more limited data availability. The median absolute width of the 90% UI for the ARR from 1990 to 2011 was 2.2%. Although the ARR point estimate for all high mortality countries was greater than zero, for eight of them uncertainty included the possibility of no improvement between 1990 and 2011. For 13 countries, it is deemed likely that the ARR from 1990 to 2011 exceeded 4.4%.
Conclusions:
In light of the upcoming evaluation of Millennium Development Goal 4 in 2015, uncertainty assessments need to be taken into account to avoid unwarranted conclusions about countries' progress based on limited data.
Please see later in the article for the Editors' Summary
Vyšlo v časopise:
Progress toward Global Reduction in Under-Five Mortality: A Bootstrap Analysis of Uncertainty in Millennium Development Goal 4 Estimates. PLoS Med 9(12): e32767. doi:10.1371/journal.pmed.1001355
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pmed.1001355
Souhrn
Background:
Millennium Development Goal 4 calls for an annual rate of reduction (ARR) of the under-five mortality rate (U5MR) of 4.4% between 1990 and 2015. Progress is measured through the point estimates of the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME). To facilitate evidence-based conclusions about progress toward the goal, we assessed the uncertainty in the estimates arising from sampling errors and biases in data series and the inferior quality of specific data series.
Methods and Findings:
We implemented a bootstrap procedure to construct 90% uncertainty intervals (UIs) for the U5MR and ARR to complement the UN IGME estimates. We constructed the bounds for all countries without a generalized HIV epidemic, where a standard estimation approach is carried out (174 countries). In the bootstrap procedure, potential biases in levels and trends of data series of different source types were accounted for. There is considerable uncertainty about the U5MR, particularly for high mortality countries and in recent years. Among 86 countries with a U5MR of at least 40 deaths per 1,000 live births in 1990, the median width of the UI, relative to the U5MR level, was 19% for 1990 and 48% for 2011, with the increase in uncertainty due to more limited data availability. The median absolute width of the 90% UI for the ARR from 1990 to 2011 was 2.2%. Although the ARR point estimate for all high mortality countries was greater than zero, for eight of them uncertainty included the possibility of no improvement between 1990 and 2011. For 13 countries, it is deemed likely that the ARR from 1990 to 2011 exceeded 4.4%.
Conclusions:
In light of the upcoming evaluation of Millennium Development Goal 4 in 2015, uncertainty assessments need to be taken into account to avoid unwarranted conclusions about countries' progress based on limited data.
Please see later in the article for the Editors' Summary
Zdroje
1. The United Nations Inter-agency Group for Child Mortality Estimation (2012) Levels & trends in child mortality: report 2012. New York: United Nations Children's Fund.
2. The United Nations Inter-agency Group for Child Mortality Estimation (2011) Levels & trends in child mortality: report 2011. New York: United Nations Children's Fund.
3. PedersenJ, LiuJ (2012) Child mortality estimation: appropriate time periods for child mortality estimates from full birth histories. PLoS Med 9: e1001289 doi:10.1371/journal.pmed.1001289.
4. Department of International Economic and Social Affairs of the United Nations (1983) Manual X—indirect techniques for demographic estimation. New York: Department of International Economic and Social Affairs of the United Nations.
5. HillK, YouD, InoueM, OestergaardMZ (2012) Child mortality estimation: accelerated progress in reducing global child mortality, 1990–2010. PLoS Med 9: e1001303 doi:10.1371/journal.pmed.1001303.
6. Efron B, Tibshirnai RJ (1993) An introduction to the bootstrap. New York: Chapman & Hall.
7. AlkemaL, WongMB, SeahPR (2012) Monitoring progress towards Millennium Development Goal 4: a call for improved validation of under-5 mortality rate estimates. Stat Politics Policy 3: article 2.
8. R Development Core Team (2011) R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
9. LunnDJ, ThomasA, BestN, SpiegelhalterD (2000) WinBUGS—a Bayesian modelling framework: concepts, structure, and extensibility. Stat Comput 10: 325–337.
10. OestergaardMZ, InoueM, YoshidaS, MahananiWR, GoreFM, et al. (2011) Neonatal mortality levels for 193 countries in 2009 with trends since 1990: a systematic analysis of progress, projections, and priorities. PLoS Med 8: e1001080 doi:10.1371/journal.pmed.1001080.
11. LozanoR, WangH, ForemanKJ, RajaratnamJK, NaghaviM, et al. (2011) Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis. Lancet 378: 1139–1165.
12. AlkemaL, YouD (2012) Child mortality estimation: a comparison of UN IGME and IHME estimates of levels and trends in under-five mortality rates and deaths. PLoS Med 9: e1001288 doi:10.1371/journal.pmed.1001288.
13. AmouzouA, HabiO, BensaïdK (2012) the Niger Countdown Case Study Working Group (2012) Reduction in child mortality in Niger: a countdown to 2015 country case study. Lancet 380: 1169–1178 doi:10.1016/S0140-6736(12)61376-2.
14. Demombynes G, Trommlerová SK (2012) What has driven the decline of infant mortality in Kenya? Policy Research Working Paper 6057. Washington (District of Columbia): World Bank.
Štítky
Interné lekárstvoČlánok vyšiel v časopise
PLOS Medicine
2012 Číslo 12
- Statinová intolerance
- Očkování proti virové hemoragické horečce Ebola experimentální vakcínou rVSVDG-ZEBOV-GP
- Co dělat při intoleranci statinů?
- Pleiotropní účinky statinů na kardiovaskulární systém
- DESATORO PRE PRAX: Aktuálne odporúčanie ESPEN pre nutričný manažment u pacientov s COVID-19
Najčítanejšie v tomto čísle
- Addressing Global Disparities in the Burden of Noncommunicable Diseases: Call for Papers
- Personalized Prediction of Lifetime Benefits with Statin Therapy for Asymptomatic Individuals: A Modeling Study
- Progress toward Global Reduction in Under-Five Mortality: A Bootstrap Analysis of Uncertainty in Millennium Development Goal 4 Estimates
- Effect of Flexible Sigmoidoscopy-Based Screening on Incidence and Mortality of Colorectal Cancer: A Systematic Review and Meta-Analysis of Randomized Controlled Trials