Cargando…

Individual and Contextual Factors Associated With Maternal and Child Health Essential Health Services Indicators: A Multilevel Analysis of Universal Health Coverage in 58 Low- and Middle-Income Countries

Background: Universal health coverage (UHC) is part of the global health agenda to tackle the lack of access to essential health services (EHS). This study developed and tested models to examine the individual, neighbourhood and country-level determinants associated with access to coverage of EHS un...

Descripción completa

Detalles Bibliográficos
Autores principales: Anjorin, Seun S., Ayorinde, Abimbola A., Oyebode, Oyinlola, Uthman, Olalekan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kerman University of Medical Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9808265/
https://www.ncbi.nlm.nih.gov/pubmed/34814661
http://dx.doi.org/10.34172/ijhpm.2021.121
_version_ 1784862902556033024
author Anjorin, Seun S.
Ayorinde, Abimbola A.
Oyebode, Oyinlola
Uthman, Olalekan A.
author_facet Anjorin, Seun S.
Ayorinde, Abimbola A.
Oyebode, Oyinlola
Uthman, Olalekan A.
author_sort Anjorin, Seun S.
collection PubMed
description Background: Universal health coverage (UHC) is part of the global health agenda to tackle the lack of access to essential health services (EHS). This study developed and tested models to examine the individual, neighbourhood and country-level determinants associated with access to coverage of EHS under the UHC agenda in low- and middle-income countries (LMICs). Methods: We used datasets from the Demographic and Health Surveys (DHSs) of 58 LMICs. Suboptimal and optimal access to EHS were computed using nine indicators. Descriptive and multilevel multinomial regression analyses were performed using R and STATA. Results: The prevalence of suboptimal and optimal access to EHS varies across the countries, the former ranging from 5.55% to 100%, and the latter ranging from 0% to 90.36% both in Honduras and Colombia, respectively. In the fully adjusted model, children of mothers with lower educational attainment (relative risk ratio [RRR] 2.11, 95% credible interval [CrI] 1.92 to 2.32) and those from poor households (RRR 1.79, 95% CrI 1.61 to 2.00) were more likely to have suboptimal access to EHS. Also, those with health insurance (RRR 0.72, 95% CrI 0.59 to 0.85) and access to media (RRR 0.59, 95% CrI 0.51 to 0.67) were at lesser risk of having suboptimal EHS. Similar trends, although in the opposite direction, were observed in the analysis involving optimal access. The intra-neighbourhood and intra-country correlation coefficients were estimated using the intercept component variance; 57.50%% and 27.70% of variances in suboptimal access to EHS are attributable to the neighbourhood and country-level factors. Conclusion: Neighbourhood-level poverty, illiteracy, and rurality modify access to EHS coverage in LMICs. Interventions aimed at achieving the 2030 UHC goals should consider integrating socioeconomic and living conditions of people.
format Online
Article
Text
id pubmed-9808265
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Kerman University of Medical Sciences
record_format MEDLINE/PubMed
spelling pubmed-98082652023-01-10 Individual and Contextual Factors Associated With Maternal and Child Health Essential Health Services Indicators: A Multilevel Analysis of Universal Health Coverage in 58 Low- and Middle-Income Countries Anjorin, Seun S. Ayorinde, Abimbola A. Oyebode, Oyinlola Uthman, Olalekan A. Int J Health Policy Manag Original Article Background: Universal health coverage (UHC) is part of the global health agenda to tackle the lack of access to essential health services (EHS). This study developed and tested models to examine the individual, neighbourhood and country-level determinants associated with access to coverage of EHS under the UHC agenda in low- and middle-income countries (LMICs). Methods: We used datasets from the Demographic and Health Surveys (DHSs) of 58 LMICs. Suboptimal and optimal access to EHS were computed using nine indicators. Descriptive and multilevel multinomial regression analyses were performed using R and STATA. Results: The prevalence of suboptimal and optimal access to EHS varies across the countries, the former ranging from 5.55% to 100%, and the latter ranging from 0% to 90.36% both in Honduras and Colombia, respectively. In the fully adjusted model, children of mothers with lower educational attainment (relative risk ratio [RRR] 2.11, 95% credible interval [CrI] 1.92 to 2.32) and those from poor households (RRR 1.79, 95% CrI 1.61 to 2.00) were more likely to have suboptimal access to EHS. Also, those with health insurance (RRR 0.72, 95% CrI 0.59 to 0.85) and access to media (RRR 0.59, 95% CrI 0.51 to 0.67) were at lesser risk of having suboptimal EHS. Similar trends, although in the opposite direction, were observed in the analysis involving optimal access. The intra-neighbourhood and intra-country correlation coefficients were estimated using the intercept component variance; 57.50%% and 27.70% of variances in suboptimal access to EHS are attributable to the neighbourhood and country-level factors. Conclusion: Neighbourhood-level poverty, illiteracy, and rurality modify access to EHS coverage in LMICs. Interventions aimed at achieving the 2030 UHC goals should consider integrating socioeconomic and living conditions of people. Kerman University of Medical Sciences 2021-09-01 /pmc/articles/PMC9808265/ /pubmed/34814661 http://dx.doi.org/10.34172/ijhpm.2021.121 Text en © 2022 The Author(s); Published by Kerman University of Medical Sciences https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Anjorin, Seun S.
Ayorinde, Abimbola A.
Oyebode, Oyinlola
Uthman, Olalekan A.
Individual and Contextual Factors Associated With Maternal and Child Health Essential Health Services Indicators: A Multilevel Analysis of Universal Health Coverage in 58 Low- and Middle-Income Countries
title Individual and Contextual Factors Associated With Maternal and Child Health Essential Health Services Indicators: A Multilevel Analysis of Universal Health Coverage in 58 Low- and Middle-Income Countries
title_full Individual and Contextual Factors Associated With Maternal and Child Health Essential Health Services Indicators: A Multilevel Analysis of Universal Health Coverage in 58 Low- and Middle-Income Countries
title_fullStr Individual and Contextual Factors Associated With Maternal and Child Health Essential Health Services Indicators: A Multilevel Analysis of Universal Health Coverage in 58 Low- and Middle-Income Countries
title_full_unstemmed Individual and Contextual Factors Associated With Maternal and Child Health Essential Health Services Indicators: A Multilevel Analysis of Universal Health Coverage in 58 Low- and Middle-Income Countries
title_short Individual and Contextual Factors Associated With Maternal and Child Health Essential Health Services Indicators: A Multilevel Analysis of Universal Health Coverage in 58 Low- and Middle-Income Countries
title_sort individual and contextual factors associated with maternal and child health essential health services indicators: a multilevel analysis of universal health coverage in 58 low- and middle-income countries
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9808265/
https://www.ncbi.nlm.nih.gov/pubmed/34814661
http://dx.doi.org/10.34172/ijhpm.2021.121
work_keys_str_mv AT anjorinseuns individualandcontextualfactorsassociatedwithmaternalandchildhealthessentialhealthservicesindicatorsamultilevelanalysisofuniversalhealthcoveragein58lowandmiddleincomecountries
AT ayorindeabimbolaa individualandcontextualfactorsassociatedwithmaternalandchildhealthessentialhealthservicesindicatorsamultilevelanalysisofuniversalhealthcoveragein58lowandmiddleincomecountries
AT oyebodeoyinlola individualandcontextualfactorsassociatedwithmaternalandchildhealthessentialhealthservicesindicatorsamultilevelanalysisofuniversalhealthcoveragein58lowandmiddleincomecountries
AT uthmanolalekana individualandcontextualfactorsassociatedwithmaternalandchildhealthessentialhealthservicesindicatorsamultilevelanalysisofuniversalhealthcoveragein58lowandmiddleincomecountries