Cargando…

Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data

This study aims to compare determinants of health facility delivery for women under a health insurance scheme and those not under a health insurance scheme. Secondary data drawn from the National Demographic and Health Survey was used for the analysis. The characteristics of the women were presented...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Xiaomei, Anser, Muhammad Khalid, Ahuru, Rolle Remi, Zhang, Zizai, Peng, Michael Yao-Ping, Osabohien, Romanus, Mirza, Mumal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047955/
https://www.ncbi.nlm.nih.gov/pubmed/35493387
http://dx.doi.org/10.3389/fpubh.2022.797272
_version_ 1784695835394572288
author Zhang, Xiaomei
Anser, Muhammad Khalid
Ahuru, Rolle Remi
Zhang, Zizai
Peng, Michael Yao-Ping
Osabohien, Romanus
Mirza, Mumal
author_facet Zhang, Xiaomei
Anser, Muhammad Khalid
Ahuru, Rolle Remi
Zhang, Zizai
Peng, Michael Yao-Ping
Osabohien, Romanus
Mirza, Mumal
author_sort Zhang, Xiaomei
collection PubMed
description This study aims to compare determinants of health facility delivery for women under a health insurance scheme and those not under a health insurance scheme. Secondary data drawn from the National Demographic and Health Survey was used for the analysis. The characteristics of the women were presented with simple proportions. Binary multilevel logistic regression was used to examine the determinants of health facilities for women who enrolled in health insurance and those who did not. All statistical analyses were set at 5% level of significant level (p = 0.24). The result showed that 2.1% of the women were under a health insurance scheme. Disparity exists in health insurance ownership as a higher proportion of those enrolled in health insurance were those with higher education attainment, in urban parts of the country, and those situated on higher wealth quintiles. There is a significant difference between those with and those without health insurance. It implies that a higher proportion of women who enrolled in health insurance delivered in health facility delivery compared to those who do not. The unique determinants of health facility delivery for women under health insurance were parity and birth order, while unique determinants of health facility delivery for women not enrolled in health schemes were employment status, marriage type, and geopolitical zones. Uniform predictors of health facility delivery for both groups of women were maternal education, household wealth quintiles, autonomy on healthcare, number of antenatal contacts, residential status, community-level poverty, community-level media use, and community-level literacy. Intervention programs designed to improve health facility delivery should expand educational opportunities for women, improve household socioeconomic conditions, target rural women, and encourage women to undertake a minimum of four antenatal contacts.
format Online
Article
Text
id pubmed-9047955
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-90479552022-04-29 Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data Zhang, Xiaomei Anser, Muhammad Khalid Ahuru, Rolle Remi Zhang, Zizai Peng, Michael Yao-Ping Osabohien, Romanus Mirza, Mumal Front Public Health Public Health This study aims to compare determinants of health facility delivery for women under a health insurance scheme and those not under a health insurance scheme. Secondary data drawn from the National Demographic and Health Survey was used for the analysis. The characteristics of the women were presented with simple proportions. Binary multilevel logistic regression was used to examine the determinants of health facilities for women who enrolled in health insurance and those who did not. All statistical analyses were set at 5% level of significant level (p = 0.24). The result showed that 2.1% of the women were under a health insurance scheme. Disparity exists in health insurance ownership as a higher proportion of those enrolled in health insurance were those with higher education attainment, in urban parts of the country, and those situated on higher wealth quintiles. There is a significant difference between those with and those without health insurance. It implies that a higher proportion of women who enrolled in health insurance delivered in health facility delivery compared to those who do not. The unique determinants of health facility delivery for women under health insurance were parity and birth order, while unique determinants of health facility delivery for women not enrolled in health schemes were employment status, marriage type, and geopolitical zones. Uniform predictors of health facility delivery for both groups of women were maternal education, household wealth quintiles, autonomy on healthcare, number of antenatal contacts, residential status, community-level poverty, community-level media use, and community-level literacy. Intervention programs designed to improve health facility delivery should expand educational opportunities for women, improve household socioeconomic conditions, target rural women, and encourage women to undertake a minimum of four antenatal contacts. Frontiers Media S.A. 2022-04-14 /pmc/articles/PMC9047955/ /pubmed/35493387 http://dx.doi.org/10.3389/fpubh.2022.797272 Text en Copyright © 2022 Zhang, Anser, Ahuru, Zhang, Peng, Osabohien and Mirza. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Zhang, Xiaomei
Anser, Muhammad Khalid
Ahuru, Rolle Remi
Zhang, Zizai
Peng, Michael Yao-Ping
Osabohien, Romanus
Mirza, Mumal
Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data
title Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data
title_full Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data
title_fullStr Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data
title_full_unstemmed Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data
title_short Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data
title_sort do predictors of health facility delivery among reproductive-age women differ by health insurance enrollment? a multi-level analysis of nigeria's data
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047955/
https://www.ncbi.nlm.nih.gov/pubmed/35493387
http://dx.doi.org/10.3389/fpubh.2022.797272
work_keys_str_mv AT zhangxiaomei dopredictorsofhealthfacilitydeliveryamongreproductiveagewomendifferbyhealthinsuranceenrollmentamultilevelanalysisofnigeriasdata
AT ansermuhammadkhalid dopredictorsofhealthfacilitydeliveryamongreproductiveagewomendifferbyhealthinsuranceenrollmentamultilevelanalysisofnigeriasdata
AT ahururolleremi dopredictorsofhealthfacilitydeliveryamongreproductiveagewomendifferbyhealthinsuranceenrollmentamultilevelanalysisofnigeriasdata
AT zhangzizai dopredictorsofhealthfacilitydeliveryamongreproductiveagewomendifferbyhealthinsuranceenrollmentamultilevelanalysisofnigeriasdata
AT pengmichaelyaoping dopredictorsofhealthfacilitydeliveryamongreproductiveagewomendifferbyhealthinsuranceenrollmentamultilevelanalysisofnigeriasdata
AT osabohienromanus dopredictorsofhealthfacilitydeliveryamongreproductiveagewomendifferbyhealthinsuranceenrollmentamultilevelanalysisofnigeriasdata
AT mirzamumal dopredictorsofhealthfacilitydeliveryamongreproductiveagewomendifferbyhealthinsuranceenrollmentamultilevelanalysisofnigeriasdata