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Development and validation of primary health care quality assessment tool
BACKGROUND: Assessing the quality of health services gives insights to managers about the status of services delivered by them, especially from the client’s perspective. Although various tools have been developed to measure the quality of primary health care (PHC), no specific tool was found in this...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601108/ https://www.ncbi.nlm.nih.gov/pubmed/37885033 http://dx.doi.org/10.1186/s12913-023-10162-x |
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author | Farrokhi, Pouria Zarei, Ehsan Bagherzadeh, Rafat Irannejad, Behrooz Hashjin, Asgar Aghaei |
author_facet | Farrokhi, Pouria Zarei, Ehsan Bagherzadeh, Rafat Irannejad, Behrooz Hashjin, Asgar Aghaei |
author_sort | Farrokhi, Pouria |
collection | PubMed |
description | BACKGROUND: Assessing the quality of health services gives insights to managers about the status of services delivered by them, especially from the client’s perspective. Although various tools have been developed to measure the quality of primary health care (PHC), no specific tool was found in this field in Iran. Therefore, the present study was conducted to develop and validate the quality assessment tool of PHC in Iran. METHODS: This methodological study was conducted in 2021. In the first step, based on a literature review, an initial questionnaire was designed, and its face validity, content validity, construct validity, and reliability were evaluated. Descriptive tests, Kolmogorov-Smirnov, exploratory factor analysis, Kaiser-Myer-Olkin (KMO), and Cronbach’s alpha were performed by using SPSS 22. RESULTS: The initial questionnaire included 33 items, of which three items were removed due to inconsistency with factorization. The final questionnaire consisted of 30 items and nine dimensions: interaction, efficiency, timeliness, accuracy, consultation, tangibility, safety, accessibility, and environment. The KMO and Cronbach’s alpha index values were 0.734 and 0.82, respectively, indicating acceptable reliability and validity. The developed dimensions represented about 73% of the total variance. CONCLUSION: The designed questionnaire has relatively good validity and reliability and can be used to measure the quality of PHC and to identify weaknesses in service delivery. However, researchers should carefully examine it to enhance its applicability as a standard tool for measuring PHC quality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10162-x. |
format | Online Article Text |
id | pubmed-10601108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106011082023-10-27 Development and validation of primary health care quality assessment tool Farrokhi, Pouria Zarei, Ehsan Bagherzadeh, Rafat Irannejad, Behrooz Hashjin, Asgar Aghaei BMC Health Serv Res Research BACKGROUND: Assessing the quality of health services gives insights to managers about the status of services delivered by them, especially from the client’s perspective. Although various tools have been developed to measure the quality of primary health care (PHC), no specific tool was found in this field in Iran. Therefore, the present study was conducted to develop and validate the quality assessment tool of PHC in Iran. METHODS: This methodological study was conducted in 2021. In the first step, based on a literature review, an initial questionnaire was designed, and its face validity, content validity, construct validity, and reliability were evaluated. Descriptive tests, Kolmogorov-Smirnov, exploratory factor analysis, Kaiser-Myer-Olkin (KMO), and Cronbach’s alpha were performed by using SPSS 22. RESULTS: The initial questionnaire included 33 items, of which three items were removed due to inconsistency with factorization. The final questionnaire consisted of 30 items and nine dimensions: interaction, efficiency, timeliness, accuracy, consultation, tangibility, safety, accessibility, and environment. The KMO and Cronbach’s alpha index values were 0.734 and 0.82, respectively, indicating acceptable reliability and validity. The developed dimensions represented about 73% of the total variance. CONCLUSION: The designed questionnaire has relatively good validity and reliability and can be used to measure the quality of PHC and to identify weaknesses in service delivery. However, researchers should carefully examine it to enhance its applicability as a standard tool for measuring PHC quality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10162-x. BioMed Central 2023-10-26 /pmc/articles/PMC10601108/ /pubmed/37885033 http://dx.doi.org/10.1186/s12913-023-10162-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Farrokhi, Pouria Zarei, Ehsan Bagherzadeh, Rafat Irannejad, Behrooz Hashjin, Asgar Aghaei Development and validation of primary health care quality assessment tool |
title | Development and validation of primary health care quality assessment tool |
title_full | Development and validation of primary health care quality assessment tool |
title_fullStr | Development and validation of primary health care quality assessment tool |
title_full_unstemmed | Development and validation of primary health care quality assessment tool |
title_short | Development and validation of primary health care quality assessment tool |
title_sort | development and validation of primary health care quality assessment tool |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601108/ https://www.ncbi.nlm.nih.gov/pubmed/37885033 http://dx.doi.org/10.1186/s12913-023-10162-x |
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