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

Dados Bibliográficos

ID22088397
AutoresXiaomei Zhang (0000-0003-1709-8465, Shandong Xiehe University), Muhammad Khalid Anser (0000-0003-1882-0907, Xi'an University of Architecture and Technology), Rolle Remi Ahuru (0000-0001-8014-9400, University of Benin), Zizai Zhang (0000-0003-4041-2782, Zhejiang Normal University, autor correspondente), Michael Yao-Ping Peng (0000-0003-2601-8017, Foshan University), Romanus Osabohien (0000-0002-9483-1395, Covenant University), Mumal Mirza (ILMA University)
Ano2022
Volume10
Páginas797272-797272
Data de publicação2022-04-14
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.797272
PMID35493387
OpenAlexW4224140786
IdiomaEN
Citações recebidas7
Referências citadas41

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

Business · Economic growth · Economics · Environmental health · Health care · Health facility · Health services · Population · Poverty · Public health · Reproductive health · Social determinants of health · Demography · Global Maternal and Child Health · Healthcare Policy and Management · Healthcare Systems and Reforms · Medicine · Nursing