Decomposition of the wealth gradient in maternal healthcare quality in low- and middle-income countries
Gil Shapira,
Sven Neelsen and
Patrick Hoang-Vu Eozenou
Social Science & Medicine, 2024, vol. 359, issue C
Abstract:
Although access to health services by poor populations has improved in most low- and middle-income countries, wealth remains associated with better quality of care that in turn leads to better health outcomes. Understanding the patterns of such inequities can inform the design of policies to improve services received by poor populations. We employ regression and inequality decomposition analyses using household survey data from 58 low- and middle-income countries between 2010 and 2021 to characterize inequity in quality of antenatal care, to test at which levels inequity exists, and to assess at which levels inequities are most pronounced. We find that in most countries and in both rural and urban areas, wealthier women are more likely to receive high-quality antenatal care than their poorer peers who reside in the same locality (village or neighborhood), even when attending similar types of health facilities (public vs. private, and primary care facilities vs. hospitals). However, although inequity exists at such a local level, most of the wealth gradient in quality of antenatal care is explained by variation in quality of care between wealthier and poorer localities.
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0277953624007275
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:359:y:2024:i:c:s0277953624007275
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01
DOI: 10.1016/j.socscimed.2024.117273
Access Statistics for this article
Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian
More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().