Prevalence, progress, and social inequalities of home deliveries in Ghana from 2006 to 2018: insights from the multiple indicator cluster surveys

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dc.contributor.authorDzomeku, V.M.
dc.contributor.authorDuodu, P.A.
dc.contributor.authorOkyere, J.
dc.contributor.authorAduse‑Poku, L.
dc.contributor.authorDey, N.E.Y.
dc.contributor.authorMensah, A.B.B.
dc.contributor.authorNakua, E.K.
dc.contributor.authorAgbadi, P.
dc.contributor.authorNutor, J.J.
dc.date.accessioned2021-09-24T17:10:31Z
dc.date.available2021-09-24T17:10:31Z
dc.date.issued2021
dc.descriptionResearch Articleen_US
dc.description.abstractBackground: Delivery in unsafe and unsupervised conditions is common in developing countries including Ghana. Over the years, the Government of Ghana has attempted to improve maternal and child healthcare services including the reduction of home deliveries through programs such as fee waiver for delivery in 2003, abolishment of delivery care cost in 2005, and the introduction of the National Health Insurance Scheme in 2005. Though these eforts have yielded some results, home delivery is still an issue of great concern in Ghana. Therefore, the aim of the present study was to identify the risk factors that are consistently associated with home deliveries in Ghana between 2006 and 2017–18. Methods: The study relied on datasets from three waves (2006, 2011, and 2017–18) of the Ghana Multiple Indicator Cluster surveys (GMICS). Summary statistics were used to describe the sample. The survey design of the GMICS was accounted for using the ‘svyset’ command in STATA-14 before the association tests. Robust Poisson regression was used to estimate the relationship between sociodemographic factors and home deliveries in Ghana in both bivariate and multivariable models. Results: The proportion of women who give birth at home during the period under consideration has decreased. The proportion of home deliveries has reduced from 50.56% in 2006 to 21.37% in 2017–18. In the multivariable model, women who had less than eight antenatal care visits, as well as those who dwelt in households with decreas‑ ing wealth, rural areas of residence, were consistently at risk of delivering in the home throughout the three data waves. Residing in the Upper East region was associated with a lower likelihood of delivering at home. Conclusion: Policies should target the at-risk-women to achieve complete reduction in home deliveries. Access to facility-based deliveries should be expanded to ensure that the expansion measures are pro-poor, pro-rural, and pro uneducated. Innovative measures such as mobile antenatal care programs should be organized in every community in the population segments that were consistently choosing home deliveries over facility-based deliveries.en_US
dc.identifier.otherhttps://doi.org/10.1186/s12884-021-03989-x
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/36760
dc.language.isoenen_US
dc.publisherBMC Pregnancy Childbirthen_US
dc.subjectPrenatal careen_US
dc.subjectAntenatal careen_US
dc.subjectPregnancyen_US
dc.subjectSkilled birth attendanceen_US
dc.titlePrevalence, progress, and social inequalities of home deliveries in Ghana from 2006 to 2018: insights from the multiple indicator cluster surveysen_US
dc.typeArticleen_US

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