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Factors facilitating the implementation of a clinical decision support system in primary care practices: a fuzzy set qualitative comparative analysis
BACKGROUND: Understanding how to implement innovations in primary care practices is key to improve primary health care. Aiming to contribute to this understanding, we investigate the implementation of a clinical decision support system (CDSS) as part of the innovation fund project AdAM (01NVF16006)....
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/PMC10605331/ https://www.ncbi.nlm.nih.gov/pubmed/37884934 http://dx.doi.org/10.1186/s12913-023-10156-9 |
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author | Piotrowski, Alexandra Coenen, Jana Rupietta, Christian Basten, Jale Muth, Christiane Söling, Sara Zimmer, Viola Karbach, Ute Kellermann-Mühlhoff, Petra Köberlein-Neu, Juliane |
author_facet | Piotrowski, Alexandra Coenen, Jana Rupietta, Christian Basten, Jale Muth, Christiane Söling, Sara Zimmer, Viola Karbach, Ute Kellermann-Mühlhoff, Petra Köberlein-Neu, Juliane |
author_sort | Piotrowski, Alexandra |
collection | PubMed |
description | BACKGROUND: Understanding how to implement innovations in primary care practices is key to improve primary health care. Aiming to contribute to this understanding, we investigate the implementation of a clinical decision support system (CDSS) as part of the innovation fund project AdAM (01NVF16006). Originating from complexity theory, the practice change and development model (PCD) proposes several interdependent factors that enable organizational-level change and thus accounts for the complex settings of primary care practices. Leveraging the PCD, we seek to answer the following research questions: Which combinations of internal and external factors based on the PCD contribute to successful implementation in primary care practices? Given these results, how can implementation in the primary care setting be improved? METHODS: We analyzed the joint contributions of internal and external factors on implementation success using qualitative comparative analysis (QCA). QCA is a set-theoretic approach that allows to identify configurations of multiple factors that lead to one outcome (here: successful implementation of a CDSS in primary care practices). Using survey data, we conducted our analysis based on a sample of 224 primary care practices. RESULTS: We identified two configurations of internal and external factors that likewise enable successful implementation. The first configuration enables implementation based on a combination of Strong Inside Motivation, High Capability for Development, and Strong Outside Motivation; the second configuration based on a combination of Strong Inside Motivators, Many Options for Development and the absence of High Capability for Development. CONCLUSION: In line with the PCD, our results demonstrate the importance of the combination of internal and external factors for implementation outcomes. Moreover, the two identified configurations show that different ways exist to achieve successful implementation in primary care practices. TRIAL REGISTRATION: AdAM was registered on ClinicalTrials.gov (NCT03430336) on February 6, 2018. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10156-9. |
format | Online Article Text |
id | pubmed-10605331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106053312023-10-28 Factors facilitating the implementation of a clinical decision support system in primary care practices: a fuzzy set qualitative comparative analysis Piotrowski, Alexandra Coenen, Jana Rupietta, Christian Basten, Jale Muth, Christiane Söling, Sara Zimmer, Viola Karbach, Ute Kellermann-Mühlhoff, Petra Köberlein-Neu, Juliane BMC Health Serv Res Research BACKGROUND: Understanding how to implement innovations in primary care practices is key to improve primary health care. Aiming to contribute to this understanding, we investigate the implementation of a clinical decision support system (CDSS) as part of the innovation fund project AdAM (01NVF16006). Originating from complexity theory, the practice change and development model (PCD) proposes several interdependent factors that enable organizational-level change and thus accounts for the complex settings of primary care practices. Leveraging the PCD, we seek to answer the following research questions: Which combinations of internal and external factors based on the PCD contribute to successful implementation in primary care practices? Given these results, how can implementation in the primary care setting be improved? METHODS: We analyzed the joint contributions of internal and external factors on implementation success using qualitative comparative analysis (QCA). QCA is a set-theoretic approach that allows to identify configurations of multiple factors that lead to one outcome (here: successful implementation of a CDSS in primary care practices). Using survey data, we conducted our analysis based on a sample of 224 primary care practices. RESULTS: We identified two configurations of internal and external factors that likewise enable successful implementation. The first configuration enables implementation based on a combination of Strong Inside Motivation, High Capability for Development, and Strong Outside Motivation; the second configuration based on a combination of Strong Inside Motivators, Many Options for Development and the absence of High Capability for Development. CONCLUSION: In line with the PCD, our results demonstrate the importance of the combination of internal and external factors for implementation outcomes. Moreover, the two identified configurations show that different ways exist to achieve successful implementation in primary care practices. TRIAL REGISTRATION: AdAM was registered on ClinicalTrials.gov (NCT03430336) on February 6, 2018. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10156-9. BioMed Central 2023-10-26 /pmc/articles/PMC10605331/ /pubmed/37884934 http://dx.doi.org/10.1186/s12913-023-10156-9 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 Piotrowski, Alexandra Coenen, Jana Rupietta, Christian Basten, Jale Muth, Christiane Söling, Sara Zimmer, Viola Karbach, Ute Kellermann-Mühlhoff, Petra Köberlein-Neu, Juliane Factors facilitating the implementation of a clinical decision support system in primary care practices: a fuzzy set qualitative comparative analysis |
title | Factors facilitating the implementation of a clinical decision support system in primary care practices: a fuzzy set qualitative comparative analysis |
title_full | Factors facilitating the implementation of a clinical decision support system in primary care practices: a fuzzy set qualitative comparative analysis |
title_fullStr | Factors facilitating the implementation of a clinical decision support system in primary care practices: a fuzzy set qualitative comparative analysis |
title_full_unstemmed | Factors facilitating the implementation of a clinical decision support system in primary care practices: a fuzzy set qualitative comparative analysis |
title_short | Factors facilitating the implementation of a clinical decision support system in primary care practices: a fuzzy set qualitative comparative analysis |
title_sort | factors facilitating the implementation of a clinical decision support system in primary care practices: a fuzzy set qualitative comparative analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605331/ https://www.ncbi.nlm.nih.gov/pubmed/37884934 http://dx.doi.org/10.1186/s12913-023-10156-9 |
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