#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Child Mortality Estimation: Consistency of Under-Five Mortality Rate Estimates Using Full Birth Histories and Summary Birth Histories


Background:
Given the lack of complete vital registration data in most developing countries, for many countries it is not possible to accurately estimate under-five mortality rates from vital registration systems. Heavy reliance is often placed on direct and indirect methods for analyzing data collected from birth histories to estimate under-five mortality rates. Yet few systematic comparisons of these methods have been undertaken. This paper investigates whether analysts should use both direct and indirect estimates from full birth histories, and under what circumstances indirect estimates derived from summary birth histories should be used.

Methods and Findings:
Usings Demographic and Health Surveys data from West Africa, East Africa, Latin America, and South/Southeast Asia, I quantify the differences between direct and indirect estimates of under-five mortality rates, analyze data quality issues, note the relative effects of these issues, and test whether these issues explain the observed differences. I find that indirect estimates are generally consistent with direct estimates, after adjustment for fertility change and birth transference, but don't add substantial additional insight beyond direct estimates. However, choice of direct or indirect method was found to be important in terms of both the adjustment for data errors and the assumptions made about fertility.

Conclusions:
Although adjusted indirect estimates are generally consistent with adjusted direct estimates, some notable inconsistencies were observed for countries that had experienced either a political or economic crisis or stalled health transition in their recent past. This result suggests that when a population has experienced a smooth mortality decline or only short periods of excess mortality, both adjusted methods perform equally well. However, the observed inconsistencies identified suggest that the indirect method is particularly prone to bias resulting from violations of its strong assumptions about recent mortality and fertility. Hence, indirect estimates of under-five mortality rates from summary birth histories should be used only for populations that have experienced either smooth mortality declines or only short periods of excess mortality in their recent past.



Please see later in the article for the Editors' Summary.


Vyšlo v časopise: Child Mortality Estimation: Consistency of Under-Five Mortality Rate Estimates Using Full Birth Histories and Summary Birth Histories. PLoS Med 9(8): e32767. doi:10.1371/journal.pmed.1001296
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pmed.1001296

Souhrn

Background:
Given the lack of complete vital registration data in most developing countries, for many countries it is not possible to accurately estimate under-five mortality rates from vital registration systems. Heavy reliance is often placed on direct and indirect methods for analyzing data collected from birth histories to estimate under-five mortality rates. Yet few systematic comparisons of these methods have been undertaken. This paper investigates whether analysts should use both direct and indirect estimates from full birth histories, and under what circumstances indirect estimates derived from summary birth histories should be used.

Methods and Findings:
Usings Demographic and Health Surveys data from West Africa, East Africa, Latin America, and South/Southeast Asia, I quantify the differences between direct and indirect estimates of under-five mortality rates, analyze data quality issues, note the relative effects of these issues, and test whether these issues explain the observed differences. I find that indirect estimates are generally consistent with direct estimates, after adjustment for fertility change and birth transference, but don't add substantial additional insight beyond direct estimates. However, choice of direct or indirect method was found to be important in terms of both the adjustment for data errors and the assumptions made about fertility.

Conclusions:
Although adjusted indirect estimates are generally consistent with adjusted direct estimates, some notable inconsistencies were observed for countries that had experienced either a political or economic crisis or stalled health transition in their recent past. This result suggests that when a population has experienced a smooth mortality decline or only short periods of excess mortality, both adjusted methods perform equally well. However, the observed inconsistencies identified suggest that the indirect method is particularly prone to bias resulting from violations of its strong assumptions about recent mortality and fertility. Hence, indirect estimates of under-five mortality rates from summary birth histories should be used only for populations that have experienced either smooth mortality declines or only short periods of excess mortality in their recent past.



Please see later in the article for the Editors' Summary.


Zdroje

1. MahapatraP, ShibuyaK, LopezA, CoullareF, NotzonF, et al. (2007) Civil registration systems and vital statistics: successes and missed opportunities. Lancet 370: 1653–1663.

2. WoodruffBA (2002) Postscript on measuring mortality rates in cross-sectional surveys: a commentary. Field Exchange 17: 16.

3. Rutstein SO, Rojas G (2006) Guide to DHS statistics. Calverton (Maryland): Macro ORC.

4. Brass W (1964) Uses of census or survey data for the estimation of vital rates. Paper prepared for the African Seminar on Vital Statistics, Addis Ababa, 14–19 December 1964. New York: United Nations.

5. Brass W (1968) Methods of analysis and estimation. In: Brass W, Coale A, Demeny P, Heisel D, editors. The demography of tropical Africa. Princeton: Princeton University Press. pp. 88–121.

6. Brass W (1971) Methods for estimating fertility and mortality from limited and defective data. Chapel Hill: University of North Carolina at Chapel Hill International Program for Laboratories for Population Statistics.

7. United Nations (1983) Manual X: indirect techniques for demographic estimation. New York: United Nations.

8. ReidpathD, AlloteyP (2003) Infant mortality rate as an indicator of population health. J Epidemiol Community Health 57: 344–346.

9. United Nations Children's Fund (2011) State of the world's children 2011: adolescence—an age of opportunity. New York: United Nations Children's Fund.

10. WilmothJ, Canudas-RomoV, ZureickS, InoueM, SawyerC (2012) A flexible two-dimensional mortality model for use in indirect estimation. Popul Stud (Camb) 66: 1–28.

11. Preston S (1985) Mortality in childhood: lessons from WFS. In: Cleland J, Hobcraft J, editors. Reproductive change in developing countries: insights from the World Fertility Survey. Oxford: Oxford University Press. pp. 253–272.

12. AdetunjiJ (1996) Infant mortality levels in Africa: does method of estimation matter? Genus 52: 89–106.

13. United Nations (1992) Child mortality since the 1960s: a database for developing countries. New York: United Nations.

14. GarenneM, GakusiE (2006) Health transitions in sub-Saharan Africa: overview of mortality trends in children under 5 years old (1950–2000). Bull World Health Organ 84: 470–478.

15. FeeneyG (1980) Estimating infant mortality trends from child survivorship data. Popul Stud (Camb) 34: 109–128.

16. United Nations Inter-agency Group for Child Mortality Estimation (2011) Levels & trends in child mortality: report 2011. New York: United Nations Children's Fund.

17. Pullum T, Stokes SL (1997) Identifying and adjusting for recall error, with application to fertility surveys. In: Lyberg LE, Biemer P, Collins M, de Leeuw E, Dippo C, et al.., editors. Survey measurement and process quality. New York: John Wiley and Sons. pp. 711–732.

18. Sullivan JM (2008) An assessment of the credibility of child mortality declines estimated from DHS mortality rates. Working draft; revision 1. New York: United Nations Children's Fund.

19. Machiyama K (2010) A re-examination of recent fertility declines in sub-Saharan Africa. DHS Working Papers No. 68. Calverton (Maryland): ICF Macro.

20. BongaartsJ (2006) The causes of stalling fertility transitions. Stud Fam Plann 37: 1–16.

21. BongaartsJ (2008) Fertility transitions in developing countries: progress or stagnation? Stud Fam Plann 39: 105–110.

22. Schoumaker B (2009) Stalls and reversals in fertility transitions in sub-Saharan Africa: real or spurious? Document de Travail No 30. Louvain-La-Neuve (Belgium): Université Catholique de Louvain Département des Sciences de la Population et du Développement.

23. Garenne M (2008) Fertility changes in sub-Saharan Africa. DHS Comparative Reports No. 18. Calverton (Maryland): Macro International.

24. Westoff C, Cross A (2006) The stall in the fertility transition in Kenya. DHS Analytical Reports No. 9. Calverton (Maryland): ORC Macro.

25. Sneeringer S (2009) Fertility transition in sub-Saharan Africa: a comparative analysis of cohort trends in 30 countries. DHS Comparative Reports No. 23. Calverton (Maryland): ICF Macro.

26. 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.

Štítky
Interné lekárstvo

Článok vyšiel v časopise

PLOS Medicine


2012 Číslo 8
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Aktuální možnosti diagnostiky a léčby litiáz
nový kurz
Autori: MUDr. Tomáš Ürge, PhD.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#