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...
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.797272/full |
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| author | Xiaomei Zhang Muhammad Khalid Anser Rolle Remi Ahuru Zizai Zhang Michael Yao-Ping Peng Romanus Osabohien Romanus Osabohien Romanus Osabohien Mumal Mirza |
| author_facet | Xiaomei Zhang Muhammad Khalid Anser Rolle Remi Ahuru Zizai Zhang Michael Yao-Ping Peng Romanus Osabohien Romanus Osabohien Romanus Osabohien Mumal Mirza |
| author_sort | Xiaomei Zhang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T17:15:30Z |
| format | Article |
| id | doaj.art-445bb07c99904138b2f1ba934136e7cc |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-10T17:15:30Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-445bb07c99904138b2f1ba934136e7cc2022-12-22T01:40:08ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-04-011010.3389/fpubh.2022.797272797272Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's DataXiaomei Zhang0Muhammad Khalid Anser1Rolle Remi Ahuru2Zizai Zhang3Michael Yao-Ping Peng4Romanus Osabohien5Romanus Osabohien6Romanus Osabohien7Mumal Mirza8School of Humanities, Arts and Education, Shandong Xiehe University, Jinan, ChinaSchool of Public Administration, Xi'an University of Architecture and Technology, Xi'an, ChinaDepartment of Economics, Faculty of Social Sciences, University of Benin, Benin City, NigeriaHangzhou Preschool Teachers College, Zhejiang Normal University, Hangzhou, ChinaSchool of Economics and Management, Foshan University, Foshan, ChinaDepartment of Economics and Development Studies, Covenant University, Ota, NigeriaCentre for Economics and Development Studies, Covenant University, Ota, NigeriaHonorary Research Fellow, ILMA University, Karachi, PakistanDepartment of Media Science, ILMA University, Karachi, PakistanThis 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.https://www.frontiersin.org/articles/10.3389/fpubh.2022.797272/fullpredictorshealth facility deliverywomenhealth insuranceNigeria |
| spellingShingle | Xiaomei Zhang Muhammad Khalid Anser Rolle Remi Ahuru Zizai Zhang Michael Yao-Ping Peng Romanus Osabohien Romanus Osabohien Romanus Osabohien Mumal Mirza Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data Frontiers in Public Health predictors health facility delivery women health insurance Nigeria |
| 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 | predictors health facility delivery women health insurance Nigeria |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.797272/full |
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