Under-five mortality rate variation between the Health and Demographic Surveillance System (HDSS) and Demographic and Health Survey (DHS) approaches
Background:
Several low and middle-income countries (LMIC) use Demographic and Health Surveys (DHS) and/or Health and Demographic Surveillance System (HDSS) to monitor the health of their population. The level and trends of under-five mortality rates could be different in the HDSS sites compared to the DHS reports. In this study, we investigated the change in under-five mortality rates overtime in the HDSS sites and the corresponding DHS reports in eight countries and 13 sites.
Methods:
Under-five mortality rates in the HDSS sites were determined using number of under-five deaths (numerator) and live births (denominator). The trends and annualized rate of change (ARC) of under-five mortality rates in the HDSS sites and the DHS reports were compared by fitting exponential function.
Results:
Under-five mortality rates declined substantially in most of the sites during the last 10–15 years. Ten out of 13 (77 %) HDSS sites have consistently lower under-five mortality rates than the DHS under-five mortality rates. In the Kilifi HDSS in Kenya, under-five mortality rate declined by 65.6 % between 2003 and 2014 with ARC of 12.2 % (95 % CI: 9.4–15.0). In the same period, the DHS under-five mortality rate in the Coastal region of Kenya declined by 50.8 % with ARC of 6 % (95 % CI: 2.0–9.0). The under-five mortality rate reduction in the Mlomp (78.1 %) and Niakhar (80.8 %) HDSS sites in Senegal during 1993–2012 was significantly higher than the mortality decline observed in the DHS report during the same period. On the other hand, the Kisumu HDSS in Kenya had lower under-five mortality reduction (15.8 %) compared to the mortality reduction observed in the DHS report (27.7 %) during 2003–2008. Under-five mortality rate rose by 27 % in the Agincourt HDSS in South Africa between 1998 to 2003 that was contrary to the 18 % under-five mortality reduction in the DHS report during the same period.
Conclusions:
The inconsistency between HDSS and DHS approaches could have global implication on the estimation of child mortality and ethical issues on mortality inequalities. Further studies should be conducted to investigate the reasons of child mortality variation between the HDSS and the DHS approaches.
Autoři:
Amare Deribew 1,2,3,4*; John Ojal 1,3; Boniface Karia 1,3; Evasius Bauni 1,3; Mark Oteinde 1,3
Působiště autorů:
KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
1; Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK.
2; INDEPTH, Accra, Ghana. 4St. Paul Millennium Medical College, Addis Ababa, Ethiopia.
3
Vyšlo v časopise:
BMC Public Health 2016, 16:1118
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1186/s12889-016-3786-2
© 2016 The Author(s).
Open access
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
The electronic version of this article is the complete one and can be found online at: http://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-016-3786-2
Souhrn
Background:
Several low and middle-income countries (LMIC) use Demographic and Health Surveys (DHS) and/or Health and Demographic Surveillance System (HDSS) to monitor the health of their population. The level and trends of under-five mortality rates could be different in the HDSS sites compared to the DHS reports. In this study, we investigated the change in under-five mortality rates overtime in the HDSS sites and the corresponding DHS reports in eight countries and 13 sites.
Methods:
Under-five mortality rates in the HDSS sites were determined using number of under-five deaths (numerator) and live births (denominator). The trends and annualized rate of change (ARC) of under-five mortality rates in the HDSS sites and the DHS reports were compared by fitting exponential function.
Results:
Under-five mortality rates declined substantially in most of the sites during the last 10–15 years. Ten out of 13 (77 %) HDSS sites have consistently lower under-five mortality rates than the DHS under-five mortality rates. In the Kilifi HDSS in Kenya, under-five mortality rate declined by 65.6 % between 2003 and 2014 with ARC of 12.2 % (95 % CI: 9.4–15.0). In the same period, the DHS under-five mortality rate in the Coastal region of Kenya declined by 50.8 % with ARC of 6 % (95 % CI: 2.0–9.0). The under-five mortality rate reduction in the Mlomp (78.1 %) and Niakhar (80.8 %) HDSS sites in Senegal during 1993–2012 was significantly higher than the mortality decline observed in the DHS report during the same period. On the other hand, the Kisumu HDSS in Kenya had lower under-five mortality reduction (15.8 %) compared to the mortality reduction observed in the DHS report (27.7 %) during 2003–2008. Under-five mortality rate rose by 27 % in the Agincourt HDSS in South Africa between 1998 to 2003 that was contrary to the 18 % under-five mortality reduction in the DHS report during the same period.
Conclusions:
The inconsistency between HDSS and DHS approaches could have global implication on the estimation of child mortality and ethical issues on mortality inequalities. Further studies should be conducted to investigate the reasons of child mortality variation between the HDSS and the DHS approaches.
Zdroje
1. Ye Y, Wamukoya M, Ezeh A, Emina JB, Sankoh O. Health and demographic surveillance systems: a step towards full civil registration and vital statistics system in sub-Sahara Africa? BMC Public Health. 2012;12:741.
2. Sankoh O, Byass P. The INDEPTH network: filling vital gaps in global epidemiology. Int J Epidemiol. 2012;41:579–88.
3. USAID. Demographic and Health Surveys. http://dhsprogram.com/What-We-Do/Survey-Types/DHS.cfm. Accessed 30 Sept 2015.
4. Afework MF, Gebregiorgis SH, Roro MA, Lemma AM, Ahmed S. Do health and demographic surveillance systems benefit local populations? Maternal care utilisation in Butajira HDSS, Ethiopia. Glob Health Action. 2014;7:24228.
5. INDEPTH. INDEPTH data repository. http://www.indepth-ishare.org/index.php/catalog/central. Accessed 27 Apr 2016.
6. Central Statistical Agency [Ethiopia] and ORC Macro. Ethiopia Demographic and Health Survey 2005. Addis Ababa, Ethiopia and Calverton, Maryland: Central Statistical Agency and ORC Macro. 2016.
7. Central Statistical Agency [Ethiopia] and ORC Macro. Ethiopia Demographic and Health Survey 2011. Ethiopia: Addis Ababa; 2006.
8. Central Bureau of Statistics (CBS) [Kenya], Ministry of Health (MOH) [Kenya], and ORC Macro. Kenya Demographic and Health Survey 2003. Calverton: CBS, MOH, Nairobi, Kenya; 2004.
9. Central Bureau of Statistics (CBS) [Kenya], Ministry of Health (MOH) [Kenya], and ORC Macro. Kenya Demographic and Health Survey 2008. Calverton: CBS, MOH, Nairobi, Kenya; 2009.
10. Central Bureau of Statistics (CBS) [Kenya], Ministry of Health (MOH) [Kenya], and ORC Macro. Kenya Demographic and Health Survey 2014. Calverton: CBS, MOH, Nairobi, Kenya; 2015.
11. National Statistical Office (NSO) [Malawi], and ORC Macro. Malawi Demographic and Health Survey 2004. Calverton: NSO and ORC Macro; 2005.
12. National Statistical Office (NSO) [Malawi], and ORC Macro. Malawi Demographic and Health Survey 2010. Calverton: NSO and ORC Macro; 2005.
13. National Bureau of Statistics [Tanzania] and Macro International Inc. Tanzania Reproductive and Child Health Survey 1999. Calverton: National Bureau of Statistics and Macro International Inc.; 2000.
14. National Bureau of Statistics [Tanzania] and Macro International Inc. Tanzania Reproductive and Child Health Survey 1999. Calverton: National Bureau of Statistics and Macro International Inc.; 2005.
15. National Bureau of Statistics [Tanzania] and Macro International Inc. Tanzania Reproductive and Child Health Survey 1999. Calverton: National Bureau of Statistics and Macro International Inc.; 2010.
16. Uganda Bureau of Statistics (UBOS) and Macro International Inc. Uganda Demographic and Health Survey 2006. Calverton: UBOS and Macro International Inc.; 2007.
17. Uganda Bureau of Statistics (UBOS) and Macro International Inc. Uganda Demographic and Health Survey 2011. Calverton: UBOS and Macro International Inc.; 2007.
18. Department of Health, Medical Research Council, OrcMacro. South Africa Demographic and Health Survey 2003. Pretoria: Department of Health, South Africa; 2004.
19. Department of Health, Medical Research Council, OrcMacro. South Africa Demographic and Health Survey 1999. Pretoria: Department of Health, South Africa; 2007.
20. Ndiaye, Salif, et Mohamed Ayad. Enquête Démographique et de Santé au Sénégal 2005. Calverton: Centre de Recherche pour le Développement Humain [Sénégal] et ORC Macro; 2006.
21. Ndiaye, Salif, et Mohamed Ayad. Enquête Démographique et de Santé au Sénégal 2011. Calverton: Centre de Recherche pour le Développement Humain [Sénégal] et ORC Macro; 2006.
22. Ndiaye, Salif, et Mohamed Ayad. Enquête Démographique et de Santé au Sénégal 1997. Calverton: Centre de Recherche pour le Développement Humain [Sénégal] et ORC Macro; 2006.
23. Ndiaye, Salif, et Mohamed Ayad. Enquête Démographique et de Santé au Sénégal 1993. Calverton: Centre de Recherche pour le Développement Humain [Sénégal] et ORC Macro; 2006.
24. Committee for Population, Family and Children [Vietnam], and ORC Macro. Vietnam Demographic and Health Survey 2002. Calverton: Committee for Population, Family and Children and ORC Macro; 2003.
25. Committee for Population, Family and Children [Vietnam], and ORC Macro. Vietnam Demographic and Health Survey 1997. Calverton: Committee for Population, Family and Children and ORC Macro; 2003.
26. Wang H, Liddell CA, Coates MM, Mooney MD, Levitz CE, Schumacher AE, Apfel H, Iannarone M, Phillips B, Lofgren KT, et al. Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:957–79.
27. Cowgill KD, Ndiritu M, Nyiro J, Slack MP, Chiphatsi S, Ismail A, Kamau T, Mwangi I, English M, Newton CR, et al. Effectiveness of haemophilus influenzae type b Conjugate vaccine introduction into routine childhood immunization in Kenya. JAMA. 2006;296:671–8.
28. Nevill CG, Some ES, Mung'ala VO, Mutemi W, New L, Marsh K, Lengeler C, Snow RW. Insecticide-treated bednets reduce mortality and severe morbidity from malaria among children on the Kenyan coast. Trop Med Int Health. 1996;1:139–46.
29. International ICF. Demographic and Health Survey Sampling and Household Listing Manual. ICF International: Calverton; 2012.
30. Amek NO, Odhiambo FO, Khagayi S, Moige H, Orwa G, Hamel MJ, Van Eijk A, Vulule J, Slutsker L, Laserson KF. Childhood cause-specific mortality in rural Western Kenya: application of the InterVA-4 model. Glob Health Action. 2014;7:25581.
31. Streatfield PK, Khan WA, Bhuiya A, Hanifi SM, Alam N, Diboulo E, Sie A, Ye M, Compaore Y, Soura AB, et al. Malaria mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites. Glob Health Action. 2014;7:25369.
32. Byass P, Kabudula CW, Mee P, Ngobeni S, Silaule B, Gomez-Olive FX, Collinson MA, Tugendhaft A, Wagner RG, Twine R, et al. A successful failure: missing the MDG4 target for under-five mortality in South Africa. PLoS Med. 2015;12, e1001926.
33. Kabudula CW, Tollman S, Mee P, Ngobeni S, Silaule B, Gomez-Olive FX, Collinson M, Kahn K, Byass P. Two decades of mortality change in rural northeast South Africa. Glob Health Action. 2014;7:25596.
34. Kahn K, Collinson MA, Gomez-Olive FX, Mokoena O, Twine R, Mee P, Afolabi SA, Clark BD, Kabudula CW, Khosa A, et al. Profile: agincourt health and socio-demographic surveillance system. Int J Epidemiol. 2012;41:988–1001.
35. Kimani-Murage EW, Fotso JC, Egondi T, Abuya B, Elungata P, Ziraba AK, Kabiru CW, Madise N. Trends in childhood mortality in Kenya: the urban advantage has seemingly been wiped out. Health Place. 2014;29:95–103.
36. You D, Hug L, Ejdemyr S, Idele P, Hogan D, Mathers C, Gerland P, New JR, Alkema L, United Nations Inter-agency Group for Child Mortality E. Global, regional, and national levels and trends in under-5 mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation. Lancet. 2015; 386(10010):2275–86.
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