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Co-designing a theory-informed intervention to increase shared decision-making in maternity care
BACKGROUND: Shared decision-making (SDM) has been shown to improve healthcare outcomes and is a recognized right of patients. Policy requires health services to implement SDM. However, there is limited research into what interventions work and for what reasons. The aim of the study was to develop a...
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/PMC9888748/ https://www.ncbi.nlm.nih.gov/pubmed/36721156 http://dx.doi.org/10.1186/s12961-023-00959-x |
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author | Waddell, Alex Spassova, Gerri Sampson, Louise Jungbluth, Lena Dam, Jennifer Bragge, Peter |
author_facet | Waddell, Alex Spassova, Gerri Sampson, Louise Jungbluth, Lena Dam, Jennifer Bragge, Peter |
author_sort | Waddell, Alex |
collection | PubMed |
description | BACKGROUND: Shared decision-making (SDM) has been shown to improve healthcare outcomes and is a recognized right of patients. Policy requires health services to implement SDM. However, there is limited research into what interventions work and for what reasons. The aim of the study was to develop a series of interventions to increase the use of SDM in maternity care with stakeholders. METHODS: Interventions to increase the use of SDM in the setting of pregnancy care were developed using Behaviour Change Wheel and Theoretical Domains Framework and building on findings of an in-depth qualitative study which were inductively analysed. Intervention development workshops involved co-design, with patients, clinicians, health service administrators and decision-makers, and government policy makers. Workshops focused on identifying viable SDM opportunities and tailoring interventions to the local context (the Royal Women’s Hospital) and salient qualitative themes. RESULTS: Pain management options during labour were identified by participants as a high priority for application of SDM, and three interventions were developed including patient and clinician access to the Victorian Government’s maternity record via the patient portal and electronic medical records (EMR); a multi-layered persuasive communications campaign designed; and clinical champions and SDM simulation training. Factors identified by participants for successful implementation included having alignment with strategic direction of the service, support of leaders, using pre-standing resources and workflows, using clinical champions, and ensuring equity. CONCLUSION: Three interventions co-designed to increase the use of SDM for pain management during labour address key barriers and facilitators to SDM in maternity care. This study exemplifies how health services can use behavioural science and co-design principles to increase the use of SDM. Insights into the co-design of interventions to implement SDM in routine practice provide a framework for other health services, policy makers and researchers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-023-00959-x. |
format | Online Article Text |
id | pubmed-9888748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98887482023-02-01 Co-designing a theory-informed intervention to increase shared decision-making in maternity care Waddell, Alex Spassova, Gerri Sampson, Louise Jungbluth, Lena Dam, Jennifer Bragge, Peter Health Res Policy Syst Research BACKGROUND: Shared decision-making (SDM) has been shown to improve healthcare outcomes and is a recognized right of patients. Policy requires health services to implement SDM. However, there is limited research into what interventions work and for what reasons. The aim of the study was to develop a series of interventions to increase the use of SDM in maternity care with stakeholders. METHODS: Interventions to increase the use of SDM in the setting of pregnancy care were developed using Behaviour Change Wheel and Theoretical Domains Framework and building on findings of an in-depth qualitative study which were inductively analysed. Intervention development workshops involved co-design, with patients, clinicians, health service administrators and decision-makers, and government policy makers. Workshops focused on identifying viable SDM opportunities and tailoring interventions to the local context (the Royal Women’s Hospital) and salient qualitative themes. RESULTS: Pain management options during labour were identified by participants as a high priority for application of SDM, and three interventions were developed including patient and clinician access to the Victorian Government’s maternity record via the patient portal and electronic medical records (EMR); a multi-layered persuasive communications campaign designed; and clinical champions and SDM simulation training. Factors identified by participants for successful implementation included having alignment with strategic direction of the service, support of leaders, using pre-standing resources and workflows, using clinical champions, and ensuring equity. CONCLUSION: Three interventions co-designed to increase the use of SDM for pain management during labour address key barriers and facilitators to SDM in maternity care. This study exemplifies how health services can use behavioural science and co-design principles to increase the use of SDM. Insights into the co-design of interventions to implement SDM in routine practice provide a framework for other health services, policy makers and researchers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-023-00959-x. BioMed Central 2023-01-31 /pmc/articles/PMC9888748/ /pubmed/36721156 http://dx.doi.org/10.1186/s12961-023-00959-x 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 Waddell, Alex Spassova, Gerri Sampson, Louise Jungbluth, Lena Dam, Jennifer Bragge, Peter Co-designing a theory-informed intervention to increase shared decision-making in maternity care |
title | Co-designing a theory-informed intervention to increase shared decision-making in maternity care |
title_full | Co-designing a theory-informed intervention to increase shared decision-making in maternity care |
title_fullStr | Co-designing a theory-informed intervention to increase shared decision-making in maternity care |
title_full_unstemmed | Co-designing a theory-informed intervention to increase shared decision-making in maternity care |
title_short | Co-designing a theory-informed intervention to increase shared decision-making in maternity care |
title_sort | co-designing a theory-informed intervention to increase shared decision-making in maternity care |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9888748/ https://www.ncbi.nlm.nih.gov/pubmed/36721156 http://dx.doi.org/10.1186/s12961-023-00959-x |
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