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Published in: BMC Public Health 1/2022

Open Access 01-12-2022 | Research

Birth registration coverage according to the sex of the head of household: an analysis of national surveys from 93 low- and middle-income countries

Authors: Andrea Wendt, Franciele Hellwig, Ghada E Saad, Cheikh Faye, Ties Boerma, Aluisio J D Barros, Cesar G Victora

Published in: BMC Public Health | Issue 1/2022

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Abstract

Background

Within-country inequalities in birth registration coverage (BRC) have been documented according to wealth, place of residence and other household characteristics. We investigated whether sex of the head of household was associated with BRC.

Methods

Using data from nationally-representative surveys (Demographic and Health Survey or Multiple Indicator Cluster Survey) from 93 low and middle-income countries (LMICs) carried out in 2010 or later, we developed a typology including three main types of households: male-headed (MHH) and female-led with or without an adult male resident. Using Poisson regression, we compared BRC for children aged less than 12 months living the three types of households within each country, and then pooled results for all countries. Analyses were also adjusted for household wealth quintiles, maternal education and urban-rural residence.

Results

BRC ranged from 2.2% Ethiopia to 100% in Thailand (median 79%) while the proportion of MHH ranged from 52.1% in Ukraine to 98.3% in Afghanistan (median 72.9%). In most countries the proportion of poor families was highest in FHH (no male) and lowest in FHH (any male), with MHH occupying an intermediate position. Of the 93 countries, in the adjusted analyses, FHH (no male) had significantly higher BRC than MHH in 13 countries, while in eight countries the opposite trend was observed. The pooled analyses showed t BRC ratios of 1.01 (95% CI: 1.00; 1.01) for FHH (any male) relative to MHH, and also 1.01 (95% CI: 1.00; 1.01) for FHH (no male) relative to MHH. These analyses also showed a high degree of heterogeneity among countries.

Conclusion

Sex of the head of household was not consistently associated with BRC in the pooled analyses but noteworthy differences in different directions were found in specific countries. Formal and informal benefits to FHH (no male), as well as women’s ability to allocate household resources to their children in FHH, may explain why this vulnerable group has managed to offset a potential disadvantage to their children.
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Literature
2.
go back to reference UNICEF. UNHCR. Background note on Sex Discrimination in Birth Registration. 2021. UNICEF. UNHCR. Background note on Sex Discrimination in Birth Registration. 2021.
3.
go back to reference UNICEF. The’Rights’ start to life: a statistical analysis of birth registration. New York: UNICEF; 2005. UNICEF. The’Rights’ start to life: a statistical analysis of birth registration. New York: UNICEF; 2005.
4.
go back to reference Adi AE, Abdu T, Khan A, Rashid MH, Ebri UE, Cockcroft A, et al. Understanding whose births get registered: a cross sectional study in Bauchi and Cross River states, Nigeria. BMC Reseach Notes. 2015;13:8:79.CrossRef Adi AE, Abdu T, Khan A, Rashid MH, Ebri UE, Cockcroft A, et al. Understanding whose births get registered: a cross sectional study in Bauchi and Cross River states, Nigeria. BMC Reseach Notes. 2015;13:8:79.CrossRef
6.
go back to reference UNICEF. Birth registration. In: UNICEF, editor. UNICEF. Birth registration. In: UNICEF, editor.
7.
go back to reference Bhatia A, Krieger N, Beckfield J, Barros AJD, Victora C. Are inequities decreasing? Birth registration for children under five in low-income and middle-income countries, 1999–2016. BMJ global health. 2019;4(6):e001926.CrossRef Bhatia A, Krieger N, Beckfield J, Barros AJD, Victora C. Are inequities decreasing? Birth registration for children under five in low-income and middle-income countries, 1999–2016. BMJ global health. 2019;4(6):e001926.CrossRef
8.
go back to reference Bhatia A, Ferreira LZ, Barros AJD, Victora CG. Who and where are the uncounted children? Inequalities in birth certificate coverage among children under five years in 94 countries using nationally representative household surveys. Int J Equity Health. 2017;16(1):148.CrossRef Bhatia A, Ferreira LZ, Barros AJD, Victora CG. Who and where are the uncounted children? Inequalities in birth certificate coverage among children under five years in 94 countries using nationally representative household surveys. Int J Equity Health. 2017;16(1):148.CrossRef
9.
go back to reference Fisker AB, Rodrigues A, Helleringer S. Differences in barriers to birth and death registration in Guinea-Bissau: implications for monitoring national and global health objectives. Tropical Med Int Health. 2019;24(2):166–74.CrossRef Fisker AB, Rodrigues A, Helleringer S. Differences in barriers to birth and death registration in Guinea-Bissau: implications for monitoring national and global health objectives. Tropical Med Int Health. 2019;24(2):166–74.CrossRef
10.
go back to reference Duff P, Kusumaningrum S, Stark L. Barriers to birth registration in Indonesia. The Lancet Global health. 2016;4(4):e234-5.CrossRef Duff P, Kusumaningrum S, Stark L. Barriers to birth registration in Indonesia. The Lancet Global health. 2016;4(4):e234-5.CrossRef
11.
go back to reference Reed S, Shabani J, Boggs D, Salim N, Ng’unga S, Day LT, et al. Counting on birth registration: mixed-methods research in two EN-BIRTH study hospitals in Tanzania. BMC Pregnancy Childbirth. 2021;21(Suppl 1):236.CrossRef Reed S, Shabani J, Boggs D, Salim N, Ng’unga S, Day LT, et al. Counting on birth registration: mixed-methods research in two EN-BIRTH study hospitals in Tanzania. BMC Pregnancy Childbirth. 2021;21(Suppl 1):236.CrossRef
12.
go back to reference Saad GE, Ghattas H, Wendt A, Hellwig F, DeJong J, Boerma T, et al. Paving the way to understanding female-headed households: Variation in household composition across 103 low- and middle-income countries. J Global Health. 2022;14(12):04038.CrossRef Saad GE, Ghattas H, Wendt A, Hellwig F, DeJong J, Boerma T, et al. Paving the way to understanding female-headed households: Variation in household composition across 103 low- and middle-income countries. J Global Health. 2022;14(12):04038.CrossRef
13.
go back to reference Javed ZH, Asif A. Female Households and Poverty: A Case Study of Faisalabad District. Int J Peace Dev Stud. 2011;2:37–44. Javed ZH, Asif A. Female Households and Poverty: A Case Study of Faisalabad District. Int J Peace Dev Stud. 2011;2:37–44.
14.
go back to reference Shisana O, Rice K, Fau - Zungu N, Zungu N, Fau - Zuma K, Zuma K. Gender and poverty in South Africa in the era of HIV/AIDS: a quantitative study. J Women’s Health. 2010;19(1):39–46.CrossRef Shisana O, Rice K, Fau - Zungu N, Zungu N, Fau - Zuma K, Zuma K. Gender and poverty in South Africa in the era of HIV/AIDS: a quantitative study. J Women’s Health. 2010;19(1):39–46.CrossRef
15.
go back to reference Richards E, Theobald S, George A, Kim JC, Rudert C, Jehan K, et al Going beyond the surface: gendered intra-household bargaining as a social determinant of child health and nutrition in low and middle income countries. Social science & medicine (1982). 2013;95:24–33. Richards E, Theobald S, George A, Kim JC, Rudert C, Jehan K, et al Going beyond the surface: gendered intra-household bargaining as a social determinant of child health and nutrition in low and middle income countries. Social science & medicine (1982). 2013;95:24–33.
16.
go back to reference Kumar K, Saikia N. Determinants of birth registration in India: Evidence from NFHS 2015-16. PLoS ONE. 2021;16(9):e0257014.CrossRef Kumar K, Saikia N. Determinants of birth registration in India: Evidence from NFHS 2015-16. PLoS ONE. 2021;16(9):e0257014.CrossRef
17.
go back to reference Okunlola OA, Olapade EO, Mathenge GW, Foluronse SA. Multilevel Analysis On The Determinants Of Birth Registration In Nigeria. Sci Technol Publishing. 2017;1(8):108–22. Okunlola OA, Olapade EO, Mathenge GW, Foluronse SA. Multilevel Analysis On The Determinants Of Birth Registration In Nigeria. Sci Technol Publishing. 2017;1(8):108–22.
18.
go back to reference Candia DA. Determinants of birth registration of children under 5 years in Uganda. Int J Adv Med Health Res. 2019;6:12–7.CrossRef Candia DA. Determinants of birth registration of children under 5 years in Uganda. Int J Adv Med Health Res. 2019;6:12–7.CrossRef
19.
go back to reference Hancioglu A, Arnold F. Measuring coverage in MNCH: tracking progress in health for women and children using DHS and MICS household surveys. PLoS Med. 2013;10(5):e1001391.CrossRef Hancioglu A, Arnold F. Measuring coverage in MNCH: tracking progress in health for women and children using DHS and MICS household surveys. PLoS Med. 2013;10(5):e1001391.CrossRef
20.
go back to reference Corsi DJ, Neuman M, Finlay JE, Subramanian SV. Demographic and health surveys: a profile. Int J Epidemiol. 2012;41(6):1602–13.CrossRef Corsi DJ, Neuman M, Finlay JE, Subramanian SV. Demographic and health surveys: a profile. Int J Epidemiol. 2012;41(6):1602–13.CrossRef
21.
go back to reference Murray C, Newby H. Data resource profile: United Nations Children’s Fund (UNICEF). Int J Epidemiol. 2012;41(6):1595–601.CrossRef Murray C, Newby H. Data resource profile: United Nations Children’s Fund (UNICEF). Int J Epidemiol. 2012;41(6):1595–601.CrossRef
22.
go back to reference Wendt A, Hellwig F, Saad GE, Faye C, Mokomane Z, Boerma T, et al. Are children in female-headed households at a disadvantage? An analysis of immunization coverage and stunting prevalence: in 95 low- and middle-income countries. SSM - population health. 2021;15:100888.CrossRef Wendt A, Hellwig F, Saad GE, Faye C, Mokomane Z, Boerma T, et al. Are children in female-headed households at a disadvantage? An analysis of immunization coverage and stunting prevalence: in 95 low- and middle-income countries. SSM - population health. 2021;15:100888.CrossRef
23.
go back to reference Woldemicael G. Do Women With Higher Autonomy Seek More Maternal Health Care? Evidence From Eritrea and Ethiopia. Health Care Women Int. 2010;31(7):599–620.CrossRef Woldemicael G. Do Women With Higher Autonomy Seek More Maternal Health Care? Evidence From Eritrea and Ethiopia. Health Care Women Int. 2010;31(7):599–620.CrossRef
24.
go back to reference Filmer D, Pritchett LH. Estimating wealth effects without expenditure data–or tears: an application to educational enrollments in states of India. Demography. 2001;38(1):115–32.PubMed Filmer D, Pritchett LH. Estimating wealth effects without expenditure data–or tears: an application to educational enrollments in states of India. Demography. 2001;38(1):115–32.PubMed
25.
go back to reference Rutstein SO, Johnson K. The DHS wealth index. Maryland: ORC Macro;: Calverton; 2004. Rutstein SO, Johnson K. The DHS wealth index. Maryland: ORC Macro;: Calverton; 2004.
26.
go back to reference Rutstein SO. The DHS wealth index: Approaches for rural and urban areas. Maryland: Macro International;: Calverton; 2008. Rutstein SO. The DHS wealth index: Approaches for rural and urban areas. Maryland: Macro International;: Calverton; 2008.
27.
go back to reference Barros AJ, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003;3:21.CrossRef Barros AJ, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003;3:21.CrossRef
28.
go back to reference Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702–6.CrossRef Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702–6.CrossRef
29.
go back to reference Liefbroer AC, Zoutewelle-Terovan M. Meta-Analysis and Meta-Regression: An Alternative to Multilevel Analysis When the Number of Countries Is Small. In: Liefbroer AC, Zoutewelle-Terovan M, editors. Social Background and the Demographic Life Course: Cross-National Comparisons. Cham: Springer International Publishing; 2021. pp. 101–23.CrossRef Liefbroer AC, Zoutewelle-Terovan M. Meta-Analysis and Meta-Regression: An Alternative to Multilevel Analysis When the Number of Countries Is Small. In: Liefbroer AC, Zoutewelle-Terovan M, editors. Social Background and the Demographic Life Course: Cross-National Comparisons. Cham: Springer International Publishing; 2021. pp. 101–23.CrossRef
30.
go back to reference Higgins JP, Thompson Sg Fau - Deeks JJ, Deeks Jj Fau - Altman DG, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;6;327(7414):557 – 60. Higgins JP, Thompson Sg Fau - Deeks JJ, Deeks Jj Fau - Altman DG, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;6;327(7414):557 – 60.
31.
go back to reference Akinyemi JO, Somefun O, Ajaero C. Family structure and full vaccination coverage among children aged 12–23 months in West Africa: Analysis of the interaction effects of maternal education. Afr Popul Stud. 2017;31(1):3623–38. Akinyemi JO, Somefun O, Ajaero C. Family structure and full vaccination coverage among children aged 12–23 months in West Africa: Analysis of the interaction effects of maternal education. Afr Popul Stud. 2017;31(1):3623–38.
32.
go back to reference Budlender D. The Debate about Household Headship. Social Dynamics. 2003;29(2):48–72.CrossRef Budlender D. The Debate about Household Headship. Social Dynamics. 2003;29(2):48–72.CrossRef
33.
go back to reference Fleischer A. Family, obligations, and migration: the role of kinship in Cameroon,. MPIDR Working Papers. 2006;Max Planck Institute for Demographic Research. Fleischer A. Family, obligations, and migration: the role of kinship in Cameroon,. MPIDR Working Papers. 2006;Max Planck Institute for Demographic Research.
34.
go back to reference Yabiku ST, Agadjanian V, Cau B. Labor migration and child mortality in Mozambique. Social science & medicine (1982). 2012;75(12):2530-8. Yabiku ST, Agadjanian V, Cau B. Labor migration and child mortality in Mozambique. Social science & medicine (1982). 2012;75(12):2530-8.
35.
go back to reference Chant S. Dangerous equations? How women-headed households became the poorest of the poor: causes, consequences and cautions. In: Cornwall A, Harrison E, Whitehead A, editors. Feminisms in Development: Contradictions, Contestations and Challenges. London: Zed Books; 2006. pp. 35–47. Chant S. Dangerous equations? How women-headed households became the poorest of the poor: causes, consequences and cautions. In: Cornwall A, Harrison E, Whitehead A, editors. Feminisms in Development: Contradictions, Contestations and Challenges. London: Zed Books; 2006. pp. 35–47.
36.
go back to reference Horrell S, Krishnan P. Poverty and productivity in female-headed households in Zimbabwe. J Dev Stud. 2007;43(8):1351–80.CrossRef Horrell S, Krishnan P. Poverty and productivity in female-headed households in Zimbabwe. J Dev Stud. 2007;43(8):1351–80.CrossRef
37.
go back to reference Kpoor A. Assets and Livelihoods of Male- and Female-Headed Households in Ghana. J Fam Issues. 2019;40:2974–96.CrossRef Kpoor A. Assets and Livelihoods of Male- and Female-Headed Households in Ghana. J Fam Issues. 2019;40:2974–96.CrossRef
38.
go back to reference World Bank. Incentives for Improving Birth Registration Coverage: A Review of the Literature. 2018. World Bank. Incentives for Improving Birth Registration Coverage: A Review of the Literature. 2018.
39.
go back to reference Nomura M, Xangsayarath P, Takahashi K, Kamiya Y, Siengsounthone L, Ogino H, et al. Socioeconomic determinants of accessibility to birth registration in Lao PDR. BMC Public Health. 2018;18(1):116.CrossRef Nomura M, Xangsayarath P, Takahashi K, Kamiya Y, Siengsounthone L, Ogino H, et al. Socioeconomic determinants of accessibility to birth registration in Lao PDR. BMC Public Health. 2018;18(1):116.CrossRef
40.
go back to reference Rogan M. Qualitative perceptions of the meaning of “headship” and female-headed households in post-apartheid South Africa. Social Dynamics. 2016;42(1):175–95.CrossRef Rogan M. Qualitative perceptions of the meaning of “headship” and female-headed households in post-apartheid South Africa. Social Dynamics. 2016;42(1):175–95.CrossRef
Metadata
Title
Birth registration coverage according to the sex of the head of household: an analysis of national surveys from 93 low- and middle-income countries
Authors
Andrea Wendt
Franciele Hellwig
Ghada E Saad
Cheikh Faye
Ties Boerma
Aluisio J D Barros
Cesar G Victora
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2022
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-022-14325-z

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