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A Social Network Analysis of Influences on Residents’ Value-Based Decisions

PURPOSE: To ensure a value-based health care system, it is becoming increasingly important that residents are trained in making value-based decisions. This study explored the social network influencing residents’ value-based decisions. METHOD: To explore the social network influencing residents’ val...

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Autores principales: Bock, Lotte A., Westra, Daan, Noben, Cindy Y.G., Essers, Brigitte A.B., van Mook, Walther N.K.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589424/
https://www.ncbi.nlm.nih.gov/pubmed/37332220
http://dx.doi.org/10.1097/ACM.0000000000005298
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author Bock, Lotte A.
Westra, Daan
Noben, Cindy Y.G.
Essers, Brigitte A.B.
van Mook, Walther N.K.A.
author_facet Bock, Lotte A.
Westra, Daan
Noben, Cindy Y.G.
Essers, Brigitte A.B.
van Mook, Walther N.K.A.
author_sort Bock, Lotte A.
collection PubMed
description PURPOSE: To ensure a value-based health care system, it is becoming increasingly important that residents are trained in making value-based decisions. This study explored the social network influencing residents’ value-based decisions. METHOD: To explore the social network influencing residents’ value-based decisions, the authors used a semistructured individual and mini-group interviewing approach and participatory visual mapping. In total, 17 residents across 13 different specialties were interviewed from the southeastern postgraduate medical education and training region of the Netherlands, May–November 2021. Two researchers independently coded the transcribed data using an integrated inductive thematic approach. Subsequently, social network analysis was used to visualize the results. RESULTS: Residents indicated that their value-based decisions were influenced by direct actors who influenced decisions related to patients and indirect actors who shaped decisions related to patients without directly modifying them. Different interaction-aspects (i.e., personal, situational, and institutional) further affected residents’ ability to make value-based decisions. Thus, residents’ value-based decisions were a product of the interplay between various interactions with actors and different interaction-aspects. Residents defined value-based decisions differently, even within an interview. CONCLUSIONS: These results suggest residents’ value-based decisions are influenced by a multitude of actors, including hierarchically superior colleagues who can directly alter decisions and patients (and their families) and nurses with whom residents consider it important to maintain good relationships. In addition, more experienced actors, mainly from the medical and nursing profession, contribute most to learning. Furthermore, residents’ value-based decisions are deeply underpinned by the hidden curriculum. However, many senior physicians may not have received sufficient training in the concept of value-based health care. Consequently, an approach of formally educating residents in value-based health care will likely have limited effects unless social influences in day-to-day clinical settings reinforce its importance.
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spelling pubmed-105894242023-10-22 A Social Network Analysis of Influences on Residents’ Value-Based Decisions Bock, Lotte A. Westra, Daan Noben, Cindy Y.G. Essers, Brigitte A.B. van Mook, Walther N.K.A. Acad Med Research Reports PURPOSE: To ensure a value-based health care system, it is becoming increasingly important that residents are trained in making value-based decisions. This study explored the social network influencing residents’ value-based decisions. METHOD: To explore the social network influencing residents’ value-based decisions, the authors used a semistructured individual and mini-group interviewing approach and participatory visual mapping. In total, 17 residents across 13 different specialties were interviewed from the southeastern postgraduate medical education and training region of the Netherlands, May–November 2021. Two researchers independently coded the transcribed data using an integrated inductive thematic approach. Subsequently, social network analysis was used to visualize the results. RESULTS: Residents indicated that their value-based decisions were influenced by direct actors who influenced decisions related to patients and indirect actors who shaped decisions related to patients without directly modifying them. Different interaction-aspects (i.e., personal, situational, and institutional) further affected residents’ ability to make value-based decisions. Thus, residents’ value-based decisions were a product of the interplay between various interactions with actors and different interaction-aspects. Residents defined value-based decisions differently, even within an interview. CONCLUSIONS: These results suggest residents’ value-based decisions are influenced by a multitude of actors, including hierarchically superior colleagues who can directly alter decisions and patients (and their families) and nurses with whom residents consider it important to maintain good relationships. In addition, more experienced actors, mainly from the medical and nursing profession, contribute most to learning. Furthermore, residents’ value-based decisions are deeply underpinned by the hidden curriculum. However, many senior physicians may not have received sufficient training in the concept of value-based health care. Consequently, an approach of formally educating residents in value-based health care will likely have limited effects unless social influences in day-to-day clinical settings reinforce its importance. Lippincott Williams & Wilkins 2023-10-20 2023-11 /pmc/articles/PMC10589424/ /pubmed/37332220 http://dx.doi.org/10.1097/ACM.0000000000005298 Text en Copyright © 2023 The Authors. Ear & Hearing is published on behalf of the American Auditory Society, by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Reports
Bock, Lotte A.
Westra, Daan
Noben, Cindy Y.G.
Essers, Brigitte A.B.
van Mook, Walther N.K.A.
A Social Network Analysis of Influences on Residents’ Value-Based Decisions
title A Social Network Analysis of Influences on Residents’ Value-Based Decisions
title_full A Social Network Analysis of Influences on Residents’ Value-Based Decisions
title_fullStr A Social Network Analysis of Influences on Residents’ Value-Based Decisions
title_full_unstemmed A Social Network Analysis of Influences on Residents’ Value-Based Decisions
title_short A Social Network Analysis of Influences on Residents’ Value-Based Decisions
title_sort social network analysis of influences on residents’ value-based decisions
topic Research Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589424/
https://www.ncbi.nlm.nih.gov/pubmed/37332220
http://dx.doi.org/10.1097/ACM.0000000000005298
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