Neonatal and child mortality data in retrospective population-based surveys compared with prospective demographic surveillance : EN-INDEPTH study
BACKGROUND: Global mortality estimates remain heavily dependent on household surveys in low- and middle-income countries, where most under-five deaths occur. Few studies have assessed the accuracy of mortality data or determinants of capturing births in surveys.
METHODS: The Every Newborn-INDEPTH study (EN-INDEPTH) included a large, multi-country survey of women aged 15-49 interviewed about livebirths and their survival status in five Health and Demographic Surveillance Systems (HDSSs). The HDSSs undertake regular household visits to register births and deaths for a given population. We analysed EN-INDEPTH survey data to assess background factors associated with not recalling a complete date-of-birth. We calculated Kaplan-Meier survival estimates for both survey and HDSS data and describe age-at-death distributions during the past 5 years for children born to the same women. We assessed the proportion of HDSS-births that could be matched on month-of-birth to survey-births and used regression models to identify factors associated with matching.
RESULTS: 69,176 women interviewed in the survey reported 109,817 births and 3064 deaths in children under 5 years in the 5 years prior to the survey. In the HDSS data, the same women had 83,768 registered births and 2335 under-five deaths in the same period. A complete date-of-birth was not reported for 1-7% of survey-births. Birthdates were less likely to be complete for dead children and children born to women of higher parity or with little/no education. Distributions of reported age-at-death indicated heaping at full weeks (neonatal period) and at 12 months. Heaping was more pronounced in the survey data. Survey estimates of under-five mortality rates were similar to HDSS estimates of under-five mortality in two of five sites, higher in the survey in two sites (15%, 41%) and lower (24%) in one site. The proportion of HDSS-births matched to survey-births ranged from 51 to 89% across HDSSs and births of children who had died were less likely to be matched.
CONCLUSIONS: Mortality estimates in the survey and HDSS were not markedly different for most sites. However, neither source is a "gold standard" and both sources miss some events. Research is required to improve capture and accuracy to better track newborn and child survival targets.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:19 |
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| Enthalten in: |
Population health metrics - 19(2021), Suppl 1 vom: 08. Feb., Seite 7 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Nareeba, Tryphena [VerfasserIn] |
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| Links: |
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| Themen: |
Child mortality |
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| Anmerkungen: |
Date Completed 28.10.2021 Date Revised 30.03.2024 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1186/s12963-020-00232-1 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM321183207 |
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| 024 | 7 | |a 10.1186/s12963-020-00232-1 |2 doi | |
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| 041 | |a eng | ||
| 100 | 1 | |a Nareeba, Tryphena |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Neonatal and child mortality data in retrospective population-based surveys compared with prospective demographic surveillance |b EN-INDEPTH study |
| 264 | 1 | |c 2021 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 28.10.2021 | ||
| 500 | |a Date Revised 30.03.2024 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a BACKGROUND: Global mortality estimates remain heavily dependent on household surveys in low- and middle-income countries, where most under-five deaths occur. Few studies have assessed the accuracy of mortality data or determinants of capturing births in surveys | ||
| 520 | |a METHODS: The Every Newborn-INDEPTH study (EN-INDEPTH) included a large, multi-country survey of women aged 15-49 interviewed about livebirths and their survival status in five Health and Demographic Surveillance Systems (HDSSs). The HDSSs undertake regular household visits to register births and deaths for a given population. We analysed EN-INDEPTH survey data to assess background factors associated with not recalling a complete date-of-birth. We calculated Kaplan-Meier survival estimates for both survey and HDSS data and describe age-at-death distributions during the past 5 years for children born to the same women. We assessed the proportion of HDSS-births that could be matched on month-of-birth to survey-births and used regression models to identify factors associated with matching | ||
| 520 | |a RESULTS: 69,176 women interviewed in the survey reported 109,817 births and 3064 deaths in children under 5 years in the 5 years prior to the survey. In the HDSS data, the same women had 83,768 registered births and 2335 under-five deaths in the same period. A complete date-of-birth was not reported for 1-7% of survey-births. Birthdates were less likely to be complete for dead children and children born to women of higher parity or with little/no education. Distributions of reported age-at-death indicated heaping at full weeks (neonatal period) and at 12 months. Heaping was more pronounced in the survey data. Survey estimates of under-five mortality rates were similar to HDSS estimates of under-five mortality in two of five sites, higher in the survey in two sites (15%, 41%) and lower (24%) in one site. The proportion of HDSS-births matched to survey-births ranged from 51 to 89% across HDSSs and births of children who had died were less likely to be matched | ||
| 520 | |a CONCLUSIONS: Mortality estimates in the survey and HDSS were not markedly different for most sites. However, neither source is a "gold standard" and both sources miss some events. Research is required to improve capture and accuracy to better track newborn and child survival targets | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Child mortality | |
| 650 | 4 | |a Infant mortality | |
| 650 | 4 | |a Neonatal mortality | |
| 650 | 4 | |a Survey | |
| 700 | 1 | |a Dzabeng, Francis |e verfasserin |4 aut | |
| 700 | 1 | |a Alam, Nurul |e verfasserin |4 aut | |
| 700 | 1 | |a Biks, Gashaw A |e verfasserin |4 aut | |
| 700 | 1 | |a Thysen, Sanne M |e verfasserin |4 aut | |
| 700 | 1 | |a Akuze, Joseph |e verfasserin |4 aut | |
| 700 | 1 | |a Blencowe, Hannah |e verfasserin |4 aut | |
| 700 | 1 | |a Helleringer, Stephane |e verfasserin |4 aut | |
| 700 | 1 | |a Lawn, Joy E |e verfasserin |4 aut | |
| 700 | 1 | |a Mahmud, Kaiser |e verfasserin |4 aut | |
| 700 | 1 | |a Yitayew, Temesgen Azemeraw |e verfasserin |4 aut | |
| 700 | 1 | |a Fisker, Ane B |e verfasserin |4 aut | |
| 700 | 0 | |a the Every Newborn-INDEPTH Study Collaborative Group |e verfasserin |4 aut | |
| 700 | 1 | |a Byass, Peter |e investigator |4 oth | |
| 700 | 1 | |a Lawn, Joy E |e investigator |4 oth | |
| 700 | 1 | |a Waiswa, Peter |e investigator |4 oth | |
| 700 | 1 | |a Blencowe, Hannah |e investigator |4 oth | |
| 700 | 1 | |a Yargawa, Judith |e investigator |4 oth | |
| 700 | 1 | |a Akuze, Joseph |e investigator |4 oth | |
| 700 | 1 | |a Fisker, Ane B |e investigator |4 oth | |
| 700 | 1 | |a Martins, Justiniano S D |e investigator |4 oth | |
| 700 | 1 | |a Rodrigues, Amabelia |e investigator |4 oth | |
| 700 | 1 | |a Thysen, Sanne M |e investigator |4 oth | |
| 700 | 1 | |a Biks, Gashaw Andargie |e investigator |4 oth | |
| 700 | 1 | |a Abebe, Solomon Mokonnen |e investigator |4 oth | |
| 700 | 1 | |a Ayele, Tadesse Awoke |e investigator |4 oth | |
| 700 | 1 | |a Bisetegn, Telake Azale |e investigator |4 oth | |
| 700 | 1 | |a Delele, Tadess Guadu |e investigator |4 oth | |
| 700 | 1 | |a Gelaye, Kassahun Alemu |e investigator |4 oth | |
| 700 | 1 | |a Geremew, Bisrat Misganaw |e investigator |4 oth | |
| 700 | 1 | |a Gezie, Lemma Derseh |e investigator |4 oth | |
| 700 | 1 | |a Melese, Tesfahun |e investigator |4 oth | |
| 700 | 1 | |a Mengistu, Mezgebu Yitayal |e investigator |4 oth | |
| 700 | 1 | |a Tesega, Adane Kebede |e investigator |4 oth | |
| 700 | 1 | |a Yitayew, Temesgen Azmeraw |e investigator |4 oth | |
| 700 | 1 | |a Kasasa, Simon |e investigator |4 oth | |
| 700 | 1 | |a Galigawango, Edward |e investigator |4 oth | |
| 700 | 1 | |a Gyezaho, Collins |e investigator |4 oth | |
| 700 | 1 | |a Kaija, Judith |e investigator |4 oth | |
| 700 | 1 | |a Kajungu, Dan |e investigator |4 oth | |
| 700 | 1 | |a Nareeba, Tryphena |e investigator |4 oth | |
| 700 | 1 | |a Natukwatsa, Davis |e investigator |4 oth | |
| 700 | 1 | |a Tusubira, Valerie |e investigator |4 oth | |
| 700 | 1 | |a Enuameh, Yeetey A K |e investigator |4 oth | |
| 700 | 1 | |a Asante, Kwaku P |e investigator |4 oth | |
| 700 | 1 | |a Dzabeng, Francis |e investigator |4 oth | |
| 700 | 1 | |a Etego, Seeba Amenga |e investigator |4 oth | |
| 700 | 1 | |a Manu, Alexander A |e investigator |4 oth | |
| 700 | 1 | |a Manu, Grace |e investigator |4 oth | |
| 700 | 1 | |a Nettey, Obed Ernest |e investigator |4 oth | |
| 700 | 1 | |a Newton, Sam K |e investigator |4 oth | |
| 700 | 1 | |a Owusu-Agyei, Seth |e investigator |4 oth | |
| 700 | 1 | |a Tawiah, Charlotte |e investigator |4 oth | |
| 700 | 1 | |a Zandoh, Charles |e investigator |4 oth | |
| 700 | 1 | |a Alam, Nurul |e investigator |4 oth | |
| 700 | 1 | |a Delwar, Nafisa |e investigator |4 oth | |
| 700 | 1 | |a Haider, M Moinuddin |e investigator |4 oth | |
| 700 | 1 | |a Imam, Md Ali |e investigator |4 oth | |
| 700 | 1 | |a Mahmud, Kaiser |e investigator |4 oth | |
| 700 | 1 | |a Baschieri, Angela |e investigator |4 oth | |
| 700 | 1 | |a Cousens, Simon |e investigator |4 oth | |
| 700 | 1 | |a Gordeev, Vladimir S |e investigator |4 oth | |
| 700 | 1 | |a Hardy, Victoria Ponce |e investigator |4 oth | |
| 700 | 1 | |a Kwesiga, Doris |e investigator |4 oth | |
| 700 | 1 | |a Machiyama, Kazuyo |e investigator |4 oth | |
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