Application of the skills network approach to measure physician competence in shared decision making based on self-assessment.

Several approaches to and definitions of 'shared decision making' (SDM) exist, which makes measurement challenging. Recently, a skills network approach was proposed, which conceptualizes SDM competence as an organized network of interacting SDM skills. With this approach, it was possible t...

Full description

Bibliographic Details
Main Authors: Levente Kriston, Lea Schumacher, Pola Hahlweg, Martin Härter, Isabelle Scholl
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0282283
_version_ 1797848119425105920
author Levente Kriston
Lea Schumacher
Pola Hahlweg
Martin Härter
Isabelle Scholl
author_facet Levente Kriston
Lea Schumacher
Pola Hahlweg
Martin Härter
Isabelle Scholl
author_sort Levente Kriston
collection DOAJ
description Several approaches to and definitions of 'shared decision making' (SDM) exist, which makes measurement challenging. Recently, a skills network approach was proposed, which conceptualizes SDM competence as an organized network of interacting SDM skills. With this approach, it was possible to accurately predict observer-rated SDM competence of physicians from the patients' assessments of the physician's SDM skills. The aim of this study was to assess whether using the skills network approach allows to predict observer-rated SDM competence of physicians from their self-reported SDM skills. We conducted a secondary data analysis of an observational study, in which outpatient care physicians rated their use of SDM skills with the physician version of the 9-item Shared Decision Making Questionnaire (SDM-Q-Doc) during consultations with chronically ill adult patients. Based on the estimated association of each skill with all other skills, an SDM skills network for each physician was constructed. Network parameters were used to predict observer-rated SDM competence, which was determined from audio-recorded consultations using three widely used measures (OPTION-12, OPTION-5, Four Habits Coding Scheme). In our study, 28 physicians rated consultations with 308 patients. The skill 'deliberating the decision' was central in the population skills network averaged across physicians. The correlation between parameters of the skills networks and observer-rated competence ranged from 0.65 to 0.82 across analyses. The use and connectedness of the skill 'eliciting treatment preference of the patient' showed the strongest unique association with observer-rated competence. Thus, we found evidence that processing SDM skill ratings from the physicians' perspective according to the skills network approach offers new theoretically and empirically grounded opportunities for the assessment of SDM competence. A feasible and robust measurement of SDM competence is essential for research on SDM and can be applied for evaluating SDM competence during medical education, for training evaluation, and for quality management purposes. [A plain language summary of the study is available at https://osf.io/3wy4v.].
first_indexed 2024-04-09T18:22:20Z
format Article
id doaj.art-971fb256bdf546dfa207486b24c7db2b
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-04-09T18:22:20Z
publishDate 2023-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-971fb256bdf546dfa207486b24c7db2b2023-04-12T05:33:01ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01182e028228310.1371/journal.pone.0282283Application of the skills network approach to measure physician competence in shared decision making based on self-assessment.Levente KristonLea SchumacherPola HahlwegMartin HärterIsabelle SchollSeveral approaches to and definitions of 'shared decision making' (SDM) exist, which makes measurement challenging. Recently, a skills network approach was proposed, which conceptualizes SDM competence as an organized network of interacting SDM skills. With this approach, it was possible to accurately predict observer-rated SDM competence of physicians from the patients' assessments of the physician's SDM skills. The aim of this study was to assess whether using the skills network approach allows to predict observer-rated SDM competence of physicians from their self-reported SDM skills. We conducted a secondary data analysis of an observational study, in which outpatient care physicians rated their use of SDM skills with the physician version of the 9-item Shared Decision Making Questionnaire (SDM-Q-Doc) during consultations with chronically ill adult patients. Based on the estimated association of each skill with all other skills, an SDM skills network for each physician was constructed. Network parameters were used to predict observer-rated SDM competence, which was determined from audio-recorded consultations using three widely used measures (OPTION-12, OPTION-5, Four Habits Coding Scheme). In our study, 28 physicians rated consultations with 308 patients. The skill 'deliberating the decision' was central in the population skills network averaged across physicians. The correlation between parameters of the skills networks and observer-rated competence ranged from 0.65 to 0.82 across analyses. The use and connectedness of the skill 'eliciting treatment preference of the patient' showed the strongest unique association with observer-rated competence. Thus, we found evidence that processing SDM skill ratings from the physicians' perspective according to the skills network approach offers new theoretically and empirically grounded opportunities for the assessment of SDM competence. A feasible and robust measurement of SDM competence is essential for research on SDM and can be applied for evaluating SDM competence during medical education, for training evaluation, and for quality management purposes. [A plain language summary of the study is available at https://osf.io/3wy4v.].https://doi.org/10.1371/journal.pone.0282283
spellingShingle Levente Kriston
Lea Schumacher
Pola Hahlweg
Martin Härter
Isabelle Scholl
Application of the skills network approach to measure physician competence in shared decision making based on self-assessment.
PLoS ONE
title Application of the skills network approach to measure physician competence in shared decision making based on self-assessment.
title_full Application of the skills network approach to measure physician competence in shared decision making based on self-assessment.
title_fullStr Application of the skills network approach to measure physician competence in shared decision making based on self-assessment.
title_full_unstemmed Application of the skills network approach to measure physician competence in shared decision making based on self-assessment.
title_short Application of the skills network approach to measure physician competence in shared decision making based on self-assessment.
title_sort application of the skills network approach to measure physician competence in shared decision making based on self assessment
url https://doi.org/10.1371/journal.pone.0282283
work_keys_str_mv AT leventekriston applicationoftheskillsnetworkapproachtomeasurephysiciancompetenceinshareddecisionmakingbasedonselfassessment
AT leaschumacher applicationoftheskillsnetworkapproachtomeasurephysiciancompetenceinshareddecisionmakingbasedonselfassessment
AT polahahlweg applicationoftheskillsnetworkapproachtomeasurephysiciancompetenceinshareddecisionmakingbasedonselfassessment
AT martinharter applicationoftheskillsnetworkapproachtomeasurephysiciancompetenceinshareddecisionmakingbasedonselfassessment
AT isabellescholl applicationoftheskillsnetworkapproachtomeasurephysiciancompetenceinshareddecisionmakingbasedonselfassessment