TY - JOUR
T1 - Birthweight data completeness and quality in population-based surveys
T2 - EN-INDEPTH study
AU - the Every Newborn-INDEPTH Study Collaborative Group
AU - Biks, Gashaw Andargie
AU - Blencowe, Hannah
AU - Hardy, Victoria Ponce
AU - Geremew, Bisrat Misganaw
AU - Angaw, Dessie Abebaw
AU - Wagnew, Alemakef
AU - Abebe, Solomon Mekonnen
AU - Guadu, Tadesse
AU - Martins, Justiniano S.D.
AU - Fisker, Ane Baerent
AU - Imam, Md Ali
AU - Nettey, Obed Ernest A.
AU - Kasasa, Simon
AU - Di Stefano, Lydia
AU - Akuze, Joseph
AU - Kwesiga, Doris
AU - Lawn, Joy E.
AU - Byass, Peter
AU - Waiswa, Peter
AU - Blencowe, Hannah
AU - Yargawa, Judith
AU - Akuze, Joseph
AU - Martins, Justiniano S.D.
AU - Rodrigues, Amabelia
AU - Thysen, Sanne M.
AU - Biks, Gashaw Andargie
AU - Abebe, Solomon Mokonnen
AU - Ayele, Tadesse Awoke
AU - Bisetegn, Telake Azale
AU - Delele, Tadess Guadu
AU - Gelaye, Kassahun Alemu
AU - Geremew, Bisrat Misganaw
AU - Gezie, Lemma Derseh
AU - Melese, Tesfahun
AU - Mengistu, Mezgebu Yitayal
AU - Tesega, Adane Kebede
AU - Yitayew, Temesgen Azmeraw
AU - Kasasa, Simon
AU - Galigawango, Edward
AU - Gyezaho, Collins
AU - Kaija, Judith
AU - Kajungu, Dan
AU - Nareeba, Tryphena
AU - Natukwatsa, Davis
AU - Tusubira, Valerie
AU - Enuameh, Yeetey A.K.
AU - Asante, Kwaku P.
AU - Dzabeng, Francis
AU - Etego, Seeba Amenga
AU - Manu, Alexander A.
N1 - Publisher Copyright:
© 2020, The Author(s).
PY - 2021/2
Y1 - 2021/2
N2 - Background: Low birthweight (< 2500 g) is an important marker of maternal health and is associated with neonatal mortality, long-term development and chronic diseases. Household surveys remain an important source of population-based birthweight information, notably Demographic and Health Surveys (DHS) and UNICEF’s Multiple Indicator Cluster Surveys (MICS); however, data quality concerns remain. Few studies have addressed how to close these gaps in surveys. Methods: The EN-INDEPTH population-based survey of 69,176 women was undertaken in five Health and Demographic Surveillance System sites (Matlab-Bangladesh, Dabat-Ethiopia, Kintampo-Ghana, Bandim-Guinea-Bissau, IgangaMayuge-Uganda). Responses to existing DHS/MICS birthweight questions on 14,411 livebirths were analysed and estimated adjusted odds ratios (aORs) associated with reporting weighing, birthweight and heaping reported. Twenty-eight focus group discussions with women and interviewers explored barriers and enablers to reporting birthweight. Results: Almost all women provided responses to birthweight survey questions, taking on average 0.2 min to answer. Of all babies, 62.4% were weighed at birth, 53.8% reported birthweight and 21.1% provided health cards with recorded birthweight. High levels of heterogeneity were observed between sites. Home births and neonatal deaths were less likely to be weighed at birth (home births aOR 0.03(95%CI 0.02–0.03), neonatal deaths (aOR 0.19(95%CI 0.16–0.24)), and when weighed, actual birthweight was less likely to be known (aOR 0.44(95%CI 0.33–0.58), aOR 0.30(95%CI 0.22–0.41)) compared to facility births and post-neonatal survivors. Increased levels of maternal education were associated with increases in reporting weighing and knowing birthweight. Half of recorded birthweights were heaped on multiples of 500 g. Heaping was more common in IgangaMayuge (aOR 14.91(95%CI 11.37–19.55) and Dabat (aOR 14.25(95%CI 10.13–20.3) compared to Bandim. Recalled birthweights were more heaped than those recorded by card (aOR 2.59(95%CI 2.11–3.19)). A gap analysis showed large missed opportunity between facility birth and known birthweight, especially for neonatal deaths. Qualitative data suggested that knowing their baby’s weight was perceived as valuable by women in all sites, but lack of measurement and poor communication, alongside social perceptions and spiritual beliefs surrounding birthweight, impacted women’s ability to report birthweight. Conclusions: Substantial data gaps remain for birthweight data in household surveys, even amongst facility births. Improving the accuracy and recording of birthweights, and better communication with women, for example using health cards, could improve survey birthweight data availability and quality.
AB - Background: Low birthweight (< 2500 g) is an important marker of maternal health and is associated with neonatal mortality, long-term development and chronic diseases. Household surveys remain an important source of population-based birthweight information, notably Demographic and Health Surveys (DHS) and UNICEF’s Multiple Indicator Cluster Surveys (MICS); however, data quality concerns remain. Few studies have addressed how to close these gaps in surveys. Methods: The EN-INDEPTH population-based survey of 69,176 women was undertaken in five Health and Demographic Surveillance System sites (Matlab-Bangladesh, Dabat-Ethiopia, Kintampo-Ghana, Bandim-Guinea-Bissau, IgangaMayuge-Uganda). Responses to existing DHS/MICS birthweight questions on 14,411 livebirths were analysed and estimated adjusted odds ratios (aORs) associated with reporting weighing, birthweight and heaping reported. Twenty-eight focus group discussions with women and interviewers explored barriers and enablers to reporting birthweight. Results: Almost all women provided responses to birthweight survey questions, taking on average 0.2 min to answer. Of all babies, 62.4% were weighed at birth, 53.8% reported birthweight and 21.1% provided health cards with recorded birthweight. High levels of heterogeneity were observed between sites. Home births and neonatal deaths were less likely to be weighed at birth (home births aOR 0.03(95%CI 0.02–0.03), neonatal deaths (aOR 0.19(95%CI 0.16–0.24)), and when weighed, actual birthweight was less likely to be known (aOR 0.44(95%CI 0.33–0.58), aOR 0.30(95%CI 0.22–0.41)) compared to facility births and post-neonatal survivors. Increased levels of maternal education were associated with increases in reporting weighing and knowing birthweight. Half of recorded birthweights were heaped on multiples of 500 g. Heaping was more common in IgangaMayuge (aOR 14.91(95%CI 11.37–19.55) and Dabat (aOR 14.25(95%CI 10.13–20.3) compared to Bandim. Recalled birthweights were more heaped than those recorded by card (aOR 2.59(95%CI 2.11–3.19)). A gap analysis showed large missed opportunity between facility birth and known birthweight, especially for neonatal deaths. Qualitative data suggested that knowing their baby’s weight was perceived as valuable by women in all sites, but lack of measurement and poor communication, alongside social perceptions and spiritual beliefs surrounding birthweight, impacted women’s ability to report birthweight. Conclusions: Substantial data gaps remain for birthweight data in household surveys, even amongst facility births. Improving the accuracy and recording of birthweights, and better communication with women, for example using health cards, could improve survey birthweight data availability and quality.
KW - Birthweight
KW - Data quality
KW - Heaping
KW - Household survey
KW - Measurement
UR - http://www.scopus.com/inward/record.url?scp=85100794979&partnerID=8YFLogxK
U2 - 10.1186/s12963-020-00229-w
DO - 10.1186/s12963-020-00229-w
M3 - Article
C2 - 33557859
AN - SCOPUS:85100794979
SN - 1478-7954
VL - 19
JO - Population Health Metrics
JF - Population Health Metrics
M1 - 17
ER -