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Making implementation science more real
Implementation science in healthcare aims to understand how to get evidence into practice. Once this is achieved in one setting, it becomes increasingly difficult to replicate elsewhere. The problem is often attributed to differences in context that influence how and whether implementation strategie...
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/PMC9233332/ https://www.ncbi.nlm.nih.gov/pubmed/35752754 http://dx.doi.org/10.1186/s12874-022-01661-2 |
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author | Sarkies, Mitchell N. Francis-Auton, Emilie Long, Janet C. Pomare, Chiara Hardwick, Rebecca Braithwaite, Jeffrey |
author_facet | Sarkies, Mitchell N. Francis-Auton, Emilie Long, Janet C. Pomare, Chiara Hardwick, Rebecca Braithwaite, Jeffrey |
author_sort | Sarkies, Mitchell N. |
collection | PubMed |
description | Implementation science in healthcare aims to understand how to get evidence into practice. Once this is achieved in one setting, it becomes increasingly difficult to replicate elsewhere. The problem is often attributed to differences in context that influence how and whether implementation strategies work. We argue that realist research paradigms provide a useful framework to express the effect of contextual factors within implementation strategy causal processes. Realist studies are theory-driven evaluations that focus on understanding how and why interventions work under different circumstances. They consider the interaction between contextual circumstances, theoretical mechanisms of change and the outcomes they produce, to arrive at explanations of conditional causality (i.e., what tends to work, for whom, under what circumstances). This Commentary provides example applications using preliminary findings from a large realist implementation study of system-wide value-based healthcare initiatives in New South Wales, Australia. If applied judiciously, realist implementation studies may represent a sound approach to help optimise delivery of the right care in the right setting and at the right time. |
format | Online Article Text |
id | pubmed-9233332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92333322022-06-26 Making implementation science more real Sarkies, Mitchell N. Francis-Auton, Emilie Long, Janet C. Pomare, Chiara Hardwick, Rebecca Braithwaite, Jeffrey BMC Med Res Methodol Research Implementation science in healthcare aims to understand how to get evidence into practice. Once this is achieved in one setting, it becomes increasingly difficult to replicate elsewhere. The problem is often attributed to differences in context that influence how and whether implementation strategies work. We argue that realist research paradigms provide a useful framework to express the effect of contextual factors within implementation strategy causal processes. Realist studies are theory-driven evaluations that focus on understanding how and why interventions work under different circumstances. They consider the interaction between contextual circumstances, theoretical mechanisms of change and the outcomes they produce, to arrive at explanations of conditional causality (i.e., what tends to work, for whom, under what circumstances). This Commentary provides example applications using preliminary findings from a large realist implementation study of system-wide value-based healthcare initiatives in New South Wales, Australia. If applied judiciously, realist implementation studies may represent a sound approach to help optimise delivery of the right care in the right setting and at the right time. BioMed Central 2022-06-25 /pmc/articles/PMC9233332/ /pubmed/35752754 http://dx.doi.org/10.1186/s12874-022-01661-2 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 Sarkies, Mitchell N. Francis-Auton, Emilie Long, Janet C. Pomare, Chiara Hardwick, Rebecca Braithwaite, Jeffrey Making implementation science more real |
title | Making implementation science more real |
title_full | Making implementation science more real |
title_fullStr | Making implementation science more real |
title_full_unstemmed | Making implementation science more real |
title_short | Making implementation science more real |
title_sort | making implementation science more real |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233332/ https://www.ncbi.nlm.nih.gov/pubmed/35752754 http://dx.doi.org/10.1186/s12874-022-01661-2 |
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