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A tool to define and measure maternal healthcare acceptability at a selected health sub-district in South Africa

BACKGROUND: There are many factors during pregnancy and labor that influence women’s acceptability of maternal healthcare. Nevertheless, the concept of acceptability of maternal healthcare has unfortunately not been clearly defined and remains difficult to assess, affecting its implications and appr...

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Autores principales: Bucyibaruta, Joy Blaise, Peu, Mmapheko Doriccah, Bamford, Lesley, Musekiwa, Alfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148523/
https://www.ncbi.nlm.nih.gov/pubmed/37120569
http://dx.doi.org/10.1186/s12884-023-05475-y
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author Bucyibaruta, Joy Blaise
Peu, Mmapheko Doriccah
Bamford, Lesley
Musekiwa, Alfred
author_facet Bucyibaruta, Joy Blaise
Peu, Mmapheko Doriccah
Bamford, Lesley
Musekiwa, Alfred
author_sort Bucyibaruta, Joy Blaise
collection PubMed
description BACKGROUND: There are many factors during pregnancy and labor that influence women’s acceptability of maternal healthcare. Nevertheless, the concept of acceptability of maternal healthcare has unfortunately not been clearly defined and remains difficult to assess, affecting its implications and approaches from maternal health perspectives. In this study, we proposed a practical definition of maternal healthcare acceptability and developed a tool to measure maternal healthcare acceptability from patients’ perspective at a selected health sub-district in South Africa. METHODS: We applied known techniques to develop measurement tools in health settings. The concept development drew from the literature review leading to the proposed definition of maternal healthcare acceptability which was then refined and validated by experts through Delphi technique. Other techniques included specification of concept constructs; selection of indicators; formation of indices; measurement tool/scale construction; and testing of reliability and validity. Factor analysis and simple arithmetic equation were performed on secondary and primary datasets respectively. RESULTS: Experts in the field reached a consensual definition of maternal healthcare acceptability. Factor analysis revealed three factors retained to predict maternal healthcare acceptability indices, namely provider, healthcare and community. Structural equation model showed good fit (CFI = 0.97), with good reliability and validity. Hypothesis testing confirmed that items and their corresponding factors were related (p < 0.01). Simple arithmetic equation was recommended as alternative method to measure acceptability when factor analysis was not applicable. CONCLUSION: This study provides new insights into defining and measuring acceptability of maternal healthcare with significant contributions on existing theories and practices on this topic and practical applications not only for maternal health but also across diverse health disciplines. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05475-y.
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spelling pubmed-101485232023-04-30 A tool to define and measure maternal healthcare acceptability at a selected health sub-district in South Africa Bucyibaruta, Joy Blaise Peu, Mmapheko Doriccah Bamford, Lesley Musekiwa, Alfred BMC Pregnancy Childbirth Research BACKGROUND: There are many factors during pregnancy and labor that influence women’s acceptability of maternal healthcare. Nevertheless, the concept of acceptability of maternal healthcare has unfortunately not been clearly defined and remains difficult to assess, affecting its implications and approaches from maternal health perspectives. In this study, we proposed a practical definition of maternal healthcare acceptability and developed a tool to measure maternal healthcare acceptability from patients’ perspective at a selected health sub-district in South Africa. METHODS: We applied known techniques to develop measurement tools in health settings. The concept development drew from the literature review leading to the proposed definition of maternal healthcare acceptability which was then refined and validated by experts through Delphi technique. Other techniques included specification of concept constructs; selection of indicators; formation of indices; measurement tool/scale construction; and testing of reliability and validity. Factor analysis and simple arithmetic equation were performed on secondary and primary datasets respectively. RESULTS: Experts in the field reached a consensual definition of maternal healthcare acceptability. Factor analysis revealed three factors retained to predict maternal healthcare acceptability indices, namely provider, healthcare and community. Structural equation model showed good fit (CFI = 0.97), with good reliability and validity. Hypothesis testing confirmed that items and their corresponding factors were related (p < 0.01). Simple arithmetic equation was recommended as alternative method to measure acceptability when factor analysis was not applicable. CONCLUSION: This study provides new insights into defining and measuring acceptability of maternal healthcare with significant contributions on existing theories and practices on this topic and practical applications not only for maternal health but also across diverse health disciplines. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05475-y. BioMed Central 2023-04-29 /pmc/articles/PMC10148523/ /pubmed/37120569 http://dx.doi.org/10.1186/s12884-023-05475-y Text en © The Author(s) 2023 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
Bucyibaruta, Joy Blaise
Peu, Mmapheko Doriccah
Bamford, Lesley
Musekiwa, Alfred
A tool to define and measure maternal healthcare acceptability at a selected health sub-district in South Africa
title A tool to define and measure maternal healthcare acceptability at a selected health sub-district in South Africa
title_full A tool to define and measure maternal healthcare acceptability at a selected health sub-district in South Africa
title_fullStr A tool to define and measure maternal healthcare acceptability at a selected health sub-district in South Africa
title_full_unstemmed A tool to define and measure maternal healthcare acceptability at a selected health sub-district in South Africa
title_short A tool to define and measure maternal healthcare acceptability at a selected health sub-district in South Africa
title_sort tool to define and measure maternal healthcare acceptability at a selected health sub-district in south africa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148523/
https://www.ncbi.nlm.nih.gov/pubmed/37120569
http://dx.doi.org/10.1186/s12884-023-05475-y
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