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...
Main Authors: | , , , , |
---|---|
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 |