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Identifying the determinants of patient satisfaction in the context of antenatal care in Kenya, Tanzania, and Malawi using service provision assessment data
BACKGROUND: Antenatal care (ANC) is a service that can reduce the incidence of maternal and neonatal deaths when provided by skilled healthcare workers. Patient satisfaction is an important health system responsiveness goal which has been shown to influence adherence to healthcare interventions. Thi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167501/ https://www.ncbi.nlm.nih.gov/pubmed/35658949 http://dx.doi.org/10.1186/s12913-022-08085-0 |
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author | Bergh, Kate Bishu, Sebawit Taddese, Henock B. |
author_facet | Bergh, Kate Bishu, Sebawit Taddese, Henock B. |
author_sort | Bergh, Kate |
collection | PubMed |
description | BACKGROUND: Antenatal care (ANC) is a service that can reduce the incidence of maternal and neonatal deaths when provided by skilled healthcare workers. Patient satisfaction is an important health system responsiveness goal which has been shown to influence adherence to healthcare interventions. This study aims to assess the determinants of pregnant women’s satisfaction with ANC across Kenya, Tanzania, and Malawi using nationally representative Service Provision Assessment data. METHODS: Patient satisfaction was conceptualised mainly based on Donabedian’s theory of healthcare quality with patient characteristics, structure, and process as the major determinants. Bivariate and multivariate analyses were conducted to identify the potential determinants. RESULTS: Findings show that satisfaction was negatively associated with women’s age (AOR: 0.95; 95% CI: 0.92–0.99) and having a secondary (AOR: 0.39; 95% CI: 0.17–0.87) or tertiary education (AOR: 0.41; 95% CI: 0.17–0.99) in Kenya. Women on their first pregnancy were more likely to report satisfaction in Tanzania (AOR: 1.62; 95% CI: 1.00–2.62) while women were less likely to report being satisfied in their second trimester in Malawi (AOR: 0.31; 95% CI: 0.09–0.97). The important structural and process factors for patient satisfaction included: private versus public run facilities in Kenya (AOR: 2.05; 95% CI: 1.22–3.43) and Malawi (AOR: 1.85; 95% CI: 0.99–3.43); level of provider training, that is, specialist versus enrolled nurse in Tanzania (AOR: 0.35; 95% CI: 0.13–0.93) or clinical technician in Malawi (AOR: 0.08; 95% CI: 0.01–0.36); and shorter waiting times across all countries. CONCLUSION: Findings highlight the importance of professional proficiency and efficient service delivery in determining pregnant women’s satisfaction with ANC. Future studies should incorporate both patient characteristics and institutional factors at health facilities into their conceptualisation of patient satisfaction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08085-0. |
format | Online Article Text |
id | pubmed-9167501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91675012022-06-06 Identifying the determinants of patient satisfaction in the context of antenatal care in Kenya, Tanzania, and Malawi using service provision assessment data Bergh, Kate Bishu, Sebawit Taddese, Henock B. BMC Health Serv Res Research BACKGROUND: Antenatal care (ANC) is a service that can reduce the incidence of maternal and neonatal deaths when provided by skilled healthcare workers. Patient satisfaction is an important health system responsiveness goal which has been shown to influence adherence to healthcare interventions. This study aims to assess the determinants of pregnant women’s satisfaction with ANC across Kenya, Tanzania, and Malawi using nationally representative Service Provision Assessment data. METHODS: Patient satisfaction was conceptualised mainly based on Donabedian’s theory of healthcare quality with patient characteristics, structure, and process as the major determinants. Bivariate and multivariate analyses were conducted to identify the potential determinants. RESULTS: Findings show that satisfaction was negatively associated with women’s age (AOR: 0.95; 95% CI: 0.92–0.99) and having a secondary (AOR: 0.39; 95% CI: 0.17–0.87) or tertiary education (AOR: 0.41; 95% CI: 0.17–0.99) in Kenya. Women on their first pregnancy were more likely to report satisfaction in Tanzania (AOR: 1.62; 95% CI: 1.00–2.62) while women were less likely to report being satisfied in their second trimester in Malawi (AOR: 0.31; 95% CI: 0.09–0.97). The important structural and process factors for patient satisfaction included: private versus public run facilities in Kenya (AOR: 2.05; 95% CI: 1.22–3.43) and Malawi (AOR: 1.85; 95% CI: 0.99–3.43); level of provider training, that is, specialist versus enrolled nurse in Tanzania (AOR: 0.35; 95% CI: 0.13–0.93) or clinical technician in Malawi (AOR: 0.08; 95% CI: 0.01–0.36); and shorter waiting times across all countries. CONCLUSION: Findings highlight the importance of professional proficiency and efficient service delivery in determining pregnant women’s satisfaction with ANC. Future studies should incorporate both patient characteristics and institutional factors at health facilities into their conceptualisation of patient satisfaction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08085-0. BioMed Central 2022-06-04 /pmc/articles/PMC9167501/ /pubmed/35658949 http://dx.doi.org/10.1186/s12913-022-08085-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Bergh, Kate Bishu, Sebawit Taddese, Henock B. Identifying the determinants of patient satisfaction in the context of antenatal care in Kenya, Tanzania, and Malawi using service provision assessment data |
title | Identifying the determinants of patient satisfaction in the context of antenatal care in Kenya, Tanzania, and Malawi using service provision assessment data |
title_full | Identifying the determinants of patient satisfaction in the context of antenatal care in Kenya, Tanzania, and Malawi using service provision assessment data |
title_fullStr | Identifying the determinants of patient satisfaction in the context of antenatal care in Kenya, Tanzania, and Malawi using service provision assessment data |
title_full_unstemmed | Identifying the determinants of patient satisfaction in the context of antenatal care in Kenya, Tanzania, and Malawi using service provision assessment data |
title_short | Identifying the determinants of patient satisfaction in the context of antenatal care in Kenya, Tanzania, and Malawi using service provision assessment data |
title_sort | identifying the determinants of patient satisfaction in the context of antenatal care in kenya, tanzania, and malawi using service provision assessment data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167501/ https://www.ncbi.nlm.nih.gov/pubmed/35658949 http://dx.doi.org/10.1186/s12913-022-08085-0 |
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