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Optimal utilization of maternal health service in Indonesia: a cross-sectional study of Riskesdas 2018

OBJECTIVE: This paper analyses the optimal utilization of maternal health services in Indonesia from 2015 to 2018. DESIGN: National cross-sectional study. SETTING: This study takes place in 34 provinces in Indonesia. PARTICIPANTS: The population in this study were mothers in all household members in...

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Autores principales: Aryastami, Ni Ketut, Mubasyiroh, Rofingatul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481828/
https://www.ncbi.nlm.nih.gov/pubmed/37666563
http://dx.doi.org/10.1136/bmjopen-2022-067959
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author Aryastami, Ni Ketut
Mubasyiroh, Rofingatul
author_facet Aryastami, Ni Ketut
Mubasyiroh, Rofingatul
author_sort Aryastami, Ni Ketut
collection PubMed
description OBJECTIVE: This paper analyses the optimal utilization of maternal health services in Indonesia from 2015 to 2018. DESIGN: National cross-sectional study. SETTING: This study takes place in 34 provinces in Indonesia. PARTICIPANTS: The population in this study were mothers in all household members in Basic Health Research of Riskesdas 2018. The sample was all mothers who had a live birth within 5 years before data collection (1 January 2013 to July 2018) and had complete data. The number of samples analysed was 70 878. PRIMARY OUTCOME: We developed a scoring for the optimal utilization of maternal health services as the outcome variable. RESULTS: This analysis involved 70 787 mothers. The utilization of maternal care was not optimal. Mothers who delivered in health facilities achieved 83.3% of services. Better care is experienced more by mothers who live in urban areas. Mothers who delivered at health facilities significantly used threefold optimal care (ORa=3.15; 95% CI 3.00 to 3.30; p<0001). A statistically significant difference of optimal maternal care was found in mothers with better education (ORa=1.22; 95% CI 1.18 to 1.27; p=0.001); holding health insurance (ORa=1.25; 95% CI 1.21 to 1.30; p<0001), having more access to health facilities (ORa=1.13; 95% CI 1.09 to 1.17); p<0.001), less parity (ORa=1.16; 95% CI 1.11 to 1.20; p<0.001). CONCLUSION: The optimal utilization of MHS is independent of the free services delivery, but having health insurance and less parity brought about a better optimal score for MHS. Mothers in rural areas were more protective of optimal utilization. Finally, the eastern region used more optimal health services.
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spelling pubmed-104818282023-09-07 Optimal utilization of maternal health service in Indonesia: a cross-sectional study of Riskesdas 2018 Aryastami, Ni Ketut Mubasyiroh, Rofingatul BMJ Open Health Services Research OBJECTIVE: This paper analyses the optimal utilization of maternal health services in Indonesia from 2015 to 2018. DESIGN: National cross-sectional study. SETTING: This study takes place in 34 provinces in Indonesia. PARTICIPANTS: The population in this study were mothers in all household members in Basic Health Research of Riskesdas 2018. The sample was all mothers who had a live birth within 5 years before data collection (1 January 2013 to July 2018) and had complete data. The number of samples analysed was 70 878. PRIMARY OUTCOME: We developed a scoring for the optimal utilization of maternal health services as the outcome variable. RESULTS: This analysis involved 70 787 mothers. The utilization of maternal care was not optimal. Mothers who delivered in health facilities achieved 83.3% of services. Better care is experienced more by mothers who live in urban areas. Mothers who delivered at health facilities significantly used threefold optimal care (ORa=3.15; 95% CI 3.00 to 3.30; p<0001). A statistically significant difference of optimal maternal care was found in mothers with better education (ORa=1.22; 95% CI 1.18 to 1.27; p=0.001); holding health insurance (ORa=1.25; 95% CI 1.21 to 1.30; p<0001), having more access to health facilities (ORa=1.13; 95% CI 1.09 to 1.17); p<0.001), less parity (ORa=1.16; 95% CI 1.11 to 1.20; p<0.001). CONCLUSION: The optimal utilization of MHS is independent of the free services delivery, but having health insurance and less parity brought about a better optimal score for MHS. Mothers in rural areas were more protective of optimal utilization. Finally, the eastern region used more optimal health services. BMJ Publishing Group 2023-09-04 /pmc/articles/PMC10481828/ /pubmed/37666563 http://dx.doi.org/10.1136/bmjopen-2022-067959 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Services Research
Aryastami, Ni Ketut
Mubasyiroh, Rofingatul
Optimal utilization of maternal health service in Indonesia: a cross-sectional study of Riskesdas 2018
title Optimal utilization of maternal health service in Indonesia: a cross-sectional study of Riskesdas 2018
title_full Optimal utilization of maternal health service in Indonesia: a cross-sectional study of Riskesdas 2018
title_fullStr Optimal utilization of maternal health service in Indonesia: a cross-sectional study of Riskesdas 2018
title_full_unstemmed Optimal utilization of maternal health service in Indonesia: a cross-sectional study of Riskesdas 2018
title_short Optimal utilization of maternal health service in Indonesia: a cross-sectional study of Riskesdas 2018
title_sort optimal utilization of maternal health service in indonesia: a cross-sectional study of riskesdas 2018
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481828/
https://www.ncbi.nlm.nih.gov/pubmed/37666563
http://dx.doi.org/10.1136/bmjopen-2022-067959
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