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Comparability of family planning quality of care measurement tools in low-and-middle income country settings: a systematic review
BACKGROUND: In low-and-middle income countries (LMICs), accurate measures of the elements of quality care provided by a health worker through family planning services (also known as process quality) are required to ensure family’s contraceptives needs are being met. There are many tools used to asse...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557007/ https://www.ncbi.nlm.nih.gov/pubmed/34717686 http://dx.doi.org/10.1186/s12978-021-01261-1 |
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author | Hazel, Elizabeth Mohan, Diwakar Gross, Margaret Kattinakere Sreedhara, Sushama Shrestha, Prakriti Johnstone, Maia Marx, Melissa |
author_facet | Hazel, Elizabeth Mohan, Diwakar Gross, Margaret Kattinakere Sreedhara, Sushama Shrestha, Prakriti Johnstone, Maia Marx, Melissa |
author_sort | Hazel, Elizabeth |
collection | PubMed |
description | BACKGROUND: In low-and-middle income countries (LMICs), accurate measures of the elements of quality care provided by a health worker through family planning services (also known as process quality) are required to ensure family’s contraceptives needs are being met. There are many tools used to assess family planning process quality of care (QoC) but no one standardized method. Those measuring QoC in LMICs should select an appropriate tool based the program context and financial/logistical parameters, but they require data on how well each tool measures routine clinical care. We aim to synthesize the literature on validity/comparability of family planning process QoC measurement tools through a quantitative systematic review with no meta-analysis. METHODS: We searched six literature databases for studies that compared quality measurements from different tools using quantitative statistics such as sensitivity/specificity, kappa statistic or absolute difference. We extracted the comparative measure along with other relevant study information, organized by quality indicator domain (e.g. counseling and privacy), and then classified the measure by low, medium, and high agreement. RESULTS: We screened 8172 articles and identified eight for analysis. Studies comparing quality measurements from simulated clients, direct observation, client exit interview, provider knowledge quizzes, and medical record review were included. These eight studies were heterogenous in their methods and the measurements compared. There was insufficient data to estimate overall summary measures of validity for the tools. Client exit interviews compared to direct observation or simulated client protocols had the most data and they were a poor proxy of the actual quality care received for many measurements. CONCLUSION: To measure QoC consistently and accurately in LMICs, standardized tools and measures are needed along with an established method of combining them for a comprehensive picture of quality care. Data on how different tools proxy quality client care will inform these guidelines. Despite the small number of studies found during the review, we described important differences on how tools measure quality of care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12978-021-01261-1. |
format | Online Article Text |
id | pubmed-8557007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85570072021-11-01 Comparability of family planning quality of care measurement tools in low-and-middle income country settings: a systematic review Hazel, Elizabeth Mohan, Diwakar Gross, Margaret Kattinakere Sreedhara, Sushama Shrestha, Prakriti Johnstone, Maia Marx, Melissa Reprod Health Review BACKGROUND: In low-and-middle income countries (LMICs), accurate measures of the elements of quality care provided by a health worker through family planning services (also known as process quality) are required to ensure family’s contraceptives needs are being met. There are many tools used to assess family planning process quality of care (QoC) but no one standardized method. Those measuring QoC in LMICs should select an appropriate tool based the program context and financial/logistical parameters, but they require data on how well each tool measures routine clinical care. We aim to synthesize the literature on validity/comparability of family planning process QoC measurement tools through a quantitative systematic review with no meta-analysis. METHODS: We searched six literature databases for studies that compared quality measurements from different tools using quantitative statistics such as sensitivity/specificity, kappa statistic or absolute difference. We extracted the comparative measure along with other relevant study information, organized by quality indicator domain (e.g. counseling and privacy), and then classified the measure by low, medium, and high agreement. RESULTS: We screened 8172 articles and identified eight for analysis. Studies comparing quality measurements from simulated clients, direct observation, client exit interview, provider knowledge quizzes, and medical record review were included. These eight studies were heterogenous in their methods and the measurements compared. There was insufficient data to estimate overall summary measures of validity for the tools. Client exit interviews compared to direct observation or simulated client protocols had the most data and they were a poor proxy of the actual quality care received for many measurements. CONCLUSION: To measure QoC consistently and accurately in LMICs, standardized tools and measures are needed along with an established method of combining them for a comprehensive picture of quality care. Data on how different tools proxy quality client care will inform these guidelines. Despite the small number of studies found during the review, we described important differences on how tools measure quality of care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12978-021-01261-1. BioMed Central 2021-10-30 /pmc/articles/PMC8557007/ /pubmed/34717686 http://dx.doi.org/10.1186/s12978-021-01261-1 Text en © The Author(s) 2021 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 | Review Hazel, Elizabeth Mohan, Diwakar Gross, Margaret Kattinakere Sreedhara, Sushama Shrestha, Prakriti Johnstone, Maia Marx, Melissa Comparability of family planning quality of care measurement tools in low-and-middle income country settings: a systematic review |
title | Comparability of family planning quality of care measurement tools in low-and-middle income country settings: a systematic review |
title_full | Comparability of family planning quality of care measurement tools in low-and-middle income country settings: a systematic review |
title_fullStr | Comparability of family planning quality of care measurement tools in low-and-middle income country settings: a systematic review |
title_full_unstemmed | Comparability of family planning quality of care measurement tools in low-and-middle income country settings: a systematic review |
title_short | Comparability of family planning quality of care measurement tools in low-and-middle income country settings: a systematic review |
title_sort | comparability of family planning quality of care measurement tools in low-and-middle income country settings: a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557007/ https://www.ncbi.nlm.nih.gov/pubmed/34717686 http://dx.doi.org/10.1186/s12978-021-01261-1 |
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