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Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care

BACKGROUND: Encounter decision aids (EDAs) are tools that can support shared decision making (SDM), up to the clinical encounter. However, adoption of these tools has been limited, as they are hard to produce, to keep up-to-date, and are not available for many decisions. The MAGIC Evidence Ecosystem...

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Autores principales: Van Bostraeten, Pieter, Aertgeerts, Bert, Bekkering, Geertruida, Delvaux, Nicolas, Haers, Anna, Vanheeswyck, Matisse, Vandekendelaere, Alexander, Van der Auwera, Niels, Dijckmans, Charlotte, Ostyn, Elise, Soontjens, Willem, Matthysen, Wout, Schenk, Noémie, Mertens, Lien, Jaeken, Jasmien, Agoritsas, Thomas, Vermandere, Mieke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201505/
https://www.ncbi.nlm.nih.gov/pubmed/37217915
http://dx.doi.org/10.1186/s12911-023-02186-4
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author Van Bostraeten, Pieter
Aertgeerts, Bert
Bekkering, Geertruida
Delvaux, Nicolas
Haers, Anna
Vanheeswyck, Matisse
Vandekendelaere, Alexander
Van der Auwera, Niels
Dijckmans, Charlotte
Ostyn, Elise
Soontjens, Willem
Matthysen, Wout
Schenk, Noémie
Mertens, Lien
Jaeken, Jasmien
Agoritsas, Thomas
Vermandere, Mieke
author_facet Van Bostraeten, Pieter
Aertgeerts, Bert
Bekkering, Geertruida
Delvaux, Nicolas
Haers, Anna
Vanheeswyck, Matisse
Vandekendelaere, Alexander
Van der Auwera, Niels
Dijckmans, Charlotte
Ostyn, Elise
Soontjens, Willem
Matthysen, Wout
Schenk, Noémie
Mertens, Lien
Jaeken, Jasmien
Agoritsas, Thomas
Vermandere, Mieke
author_sort Van Bostraeten, Pieter
collection PubMed
description BACKGROUND: Encounter decision aids (EDAs) are tools that can support shared decision making (SDM), up to the clinical encounter. However, adoption of these tools has been limited, as they are hard to produce, to keep up-to-date, and are not available for many decisions. The MAGIC Evidence Ecosystem Foundation has created a new generation of decision aids that are generically produced along digitally structured guidelines and evidence summaries, in an electronic authoring and publication platform (MAGICapp). We explored general practitioners’ (GPs) and patients' experiences with five selected decision aids linked to BMJ Rapid Recommendations in primary care. METHODS: We applied a qualitative user testing design to evaluate user experiences for both GPs and patients. We translated five EDAs relevant to primary care, and observed the clinical encounters of 11 GPs when they used the EDA with their patients. We conducted a semi-structured interview with each patient after the consultation and a think-aloud interview with each GPs after multiple consultations. We used the Qualitative Analysis Guide (QUAGOL) for data analysis. RESULTS: Direct observations and user testing analysis of 31 clinical encounters showed an overall positive experience. The EDAs created better involvement in decision making and resulted in meaningful insights for patients and clinicians. The design and its interactive, multilayered structure made the tool enjoyable and well-organized. Difficult terminology, scales and numbers hindered understanding of certain information, which was sometimes perceived as too specialized or even intimidating. GPs thought the EDA was not suitable for every patient. They perceived a learning curve was required and the need for time investment was a concern. The EDAs were considered trustworthy as they were provided by a credible source. CONCLUSIONS: This study showed that EDAs can be useful tools in primary care by supporting actual shared decision making and enhancing patient involvement. The graphical approach and clear representation help patients better understand their options. To overcome barriers such as health literacy and GPs attitudes, effort is still needed to make the EDAs as accessible, intuitive and inclusive as possible through use of plain language, uniform design, rapid access and training. TRIAL REGISTRATION: The study protocol was approved by the The Research Ethics Committee UZ/KU Leuven (Belgium) on 31–10-2019 with reference number MP011977. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-023-02186-4.
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spelling pubmed-102015052023-05-23 Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care Van Bostraeten, Pieter Aertgeerts, Bert Bekkering, Geertruida Delvaux, Nicolas Haers, Anna Vanheeswyck, Matisse Vandekendelaere, Alexander Van der Auwera, Niels Dijckmans, Charlotte Ostyn, Elise Soontjens, Willem Matthysen, Wout Schenk, Noémie Mertens, Lien Jaeken, Jasmien Agoritsas, Thomas Vermandere, Mieke BMC Med Inform Decis Mak Research BACKGROUND: Encounter decision aids (EDAs) are tools that can support shared decision making (SDM), up to the clinical encounter. However, adoption of these tools has been limited, as they are hard to produce, to keep up-to-date, and are not available for many decisions. The MAGIC Evidence Ecosystem Foundation has created a new generation of decision aids that are generically produced along digitally structured guidelines and evidence summaries, in an electronic authoring and publication platform (MAGICapp). We explored general practitioners’ (GPs) and patients' experiences with five selected decision aids linked to BMJ Rapid Recommendations in primary care. METHODS: We applied a qualitative user testing design to evaluate user experiences for both GPs and patients. We translated five EDAs relevant to primary care, and observed the clinical encounters of 11 GPs when they used the EDA with their patients. We conducted a semi-structured interview with each patient after the consultation and a think-aloud interview with each GPs after multiple consultations. We used the Qualitative Analysis Guide (QUAGOL) for data analysis. RESULTS: Direct observations and user testing analysis of 31 clinical encounters showed an overall positive experience. The EDAs created better involvement in decision making and resulted in meaningful insights for patients and clinicians. The design and its interactive, multilayered structure made the tool enjoyable and well-organized. Difficult terminology, scales and numbers hindered understanding of certain information, which was sometimes perceived as too specialized or even intimidating. GPs thought the EDA was not suitable for every patient. They perceived a learning curve was required and the need for time investment was a concern. The EDAs were considered trustworthy as they were provided by a credible source. CONCLUSIONS: This study showed that EDAs can be useful tools in primary care by supporting actual shared decision making and enhancing patient involvement. The graphical approach and clear representation help patients better understand their options. To overcome barriers such as health literacy and GPs attitudes, effort is still needed to make the EDAs as accessible, intuitive and inclusive as possible through use of plain language, uniform design, rapid access and training. TRIAL REGISTRATION: The study protocol was approved by the The Research Ethics Committee UZ/KU Leuven (Belgium) on 31–10-2019 with reference number MP011977. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-023-02186-4. BioMed Central 2023-05-22 /pmc/articles/PMC10201505/ /pubmed/37217915 http://dx.doi.org/10.1186/s12911-023-02186-4 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
Van Bostraeten, Pieter
Aertgeerts, Bert
Bekkering, Geertruida
Delvaux, Nicolas
Haers, Anna
Vanheeswyck, Matisse
Vandekendelaere, Alexander
Van der Auwera, Niels
Dijckmans, Charlotte
Ostyn, Elise
Soontjens, Willem
Matthysen, Wout
Schenk, Noémie
Mertens, Lien
Jaeken, Jasmien
Agoritsas, Thomas
Vermandere, Mieke
Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care
title Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care
title_full Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care
title_fullStr Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care
title_full_unstemmed Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care
title_short Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care
title_sort digital encounter decision aids linked to clinical practice guidelines: results from user testing share-it decision aids in primary care
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201505/
https://www.ncbi.nlm.nih.gov/pubmed/37217915
http://dx.doi.org/10.1186/s12911-023-02186-4
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