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Implementing online group model building to unravel complex geriatric problems, a methodological description

BACKGROUND: Group model building (GMB), is a qualitative focus group like study design from the field of system dynamics, that leads a group of topic experts (often key stakeholders of a problem), through a set of scripted activities to create a conceptual model of their shared view on this problems...

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Autores principales: Smeekes, Oscar S, Willems, Hanna C, Blomberg, Ilse, Rouwette, Etiënne A J A, Buurman, Bianca M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339532/
https://www.ncbi.nlm.nih.gov/pubmed/37438723
http://dx.doi.org/10.1186/s12877-023-04110-x
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author Smeekes, Oscar S
Willems, Hanna C
Blomberg, Ilse
Rouwette, Etiënne A J A
Buurman, Bianca M
author_facet Smeekes, Oscar S
Willems, Hanna C
Blomberg, Ilse
Rouwette, Etiënne A J A
Buurman, Bianca M
author_sort Smeekes, Oscar S
collection PubMed
description BACKGROUND: Group model building (GMB), is a qualitative focus group like study design from the field of system dynamics, that leads a group of topic experts (often key stakeholders of a problem), through a set of scripted activities to create a conceptual model of their shared view on this problems’ key contributing factors and their interactions. By offering a specific step wise approach to the complexity of a problem, GMB has provided better understanding and overview of complex problems across different scientific domains, in addition to traditional research methods. As the development of geriatric syndromes and organization of geriatric care are often complex issues that are difficult to research, understand and resolve, GMB might be a useful methodology to better address these issues. This study aimed to describe the methodology of online GMB using a geriatric case study. METHODS: Four online GMB sessions were designed by two clinician researchers. A GMB methodology expert was consulted for optimal design. Scriptapedia scripts formed the core of the sessions. These scripts were adapted to the online format. Experts were recruited purposefully and included seven local health care professionals, one patient representative and one healthcare insurance data analyst. The outcome was a conceptual model of older adults’ emergency department visits, which was discussed in a separate article. RESULTS: During implementation of these four sessions, the sessions were adjusted and two extra (non-scripted) sessions were added because defining unambiguous contributing factors to the geriatric case was challenging for the experts. Paraphrasing, categorizing, iterative plenary reflection, and reserving extra time were used to help experts overcome this challenge. All sessions were held in April and May 2021. CONCLUSION: This study shows that GMB can help unravel complex problems in geriatrics, both pathophysiological as organizational, by creating step wise overview of their key contributing factors and interactions. Furthermore, it shows that GMB can be used by clinicians, researchers and health policy makers to better understand complex geriatric problems. Moreover, this paper can help to overcome specific implementational challenges in the geriatric field. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04110-x.
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spelling pubmed-103395322023-07-14 Implementing online group model building to unravel complex geriatric problems, a methodological description Smeekes, Oscar S Willems, Hanna C Blomberg, Ilse Rouwette, Etiënne A J A Buurman, Bianca M BMC Geriatr Research BACKGROUND: Group model building (GMB), is a qualitative focus group like study design from the field of system dynamics, that leads a group of topic experts (often key stakeholders of a problem), through a set of scripted activities to create a conceptual model of their shared view on this problems’ key contributing factors and their interactions. By offering a specific step wise approach to the complexity of a problem, GMB has provided better understanding and overview of complex problems across different scientific domains, in addition to traditional research methods. As the development of geriatric syndromes and organization of geriatric care are often complex issues that are difficult to research, understand and resolve, GMB might be a useful methodology to better address these issues. This study aimed to describe the methodology of online GMB using a geriatric case study. METHODS: Four online GMB sessions were designed by two clinician researchers. A GMB methodology expert was consulted for optimal design. Scriptapedia scripts formed the core of the sessions. These scripts were adapted to the online format. Experts were recruited purposefully and included seven local health care professionals, one patient representative and one healthcare insurance data analyst. The outcome was a conceptual model of older adults’ emergency department visits, which was discussed in a separate article. RESULTS: During implementation of these four sessions, the sessions were adjusted and two extra (non-scripted) sessions were added because defining unambiguous contributing factors to the geriatric case was challenging for the experts. Paraphrasing, categorizing, iterative plenary reflection, and reserving extra time were used to help experts overcome this challenge. All sessions were held in April and May 2021. CONCLUSION: This study shows that GMB can help unravel complex problems in geriatrics, both pathophysiological as organizational, by creating step wise overview of their key contributing factors and interactions. Furthermore, it shows that GMB can be used by clinicians, researchers and health policy makers to better understand complex geriatric problems. Moreover, this paper can help to overcome specific implementational challenges in the geriatric field. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04110-x. BioMed Central 2023-07-12 /pmc/articles/PMC10339532/ /pubmed/37438723 http://dx.doi.org/10.1186/s12877-023-04110-x 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
Smeekes, Oscar S
Willems, Hanna C
Blomberg, Ilse
Rouwette, Etiënne A J A
Buurman, Bianca M
Implementing online group model building to unravel complex geriatric problems, a methodological description
title Implementing online group model building to unravel complex geriatric problems, a methodological description
title_full Implementing online group model building to unravel complex geriatric problems, a methodological description
title_fullStr Implementing online group model building to unravel complex geriatric problems, a methodological description
title_full_unstemmed Implementing online group model building to unravel complex geriatric problems, a methodological description
title_short Implementing online group model building to unravel complex geriatric problems, a methodological description
title_sort implementing online group model building to unravel complex geriatric problems, a methodological description
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339532/
https://www.ncbi.nlm.nih.gov/pubmed/37438723
http://dx.doi.org/10.1186/s12877-023-04110-x
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