Exploring typologies of consultation performance using authentic clinical experiences to support learning and assessment in postgraduate medical training.

Assessment Consultation performance Contextual adaptation Graduate medical education Narrative profiles Patient centredness Physician-patient communication

Journal

Patient education and counseling
ISSN: 1873-5134
Titre abrégé: Patient Educ Couns
Pays: Ireland
ID NLM: 8406280

Informations de publication

Date de publication:
07 2022
Historique:
received: 27 02 2020
revised: 29 10 2021
accepted: 30 10 2021
pubmed: 24 11 2021
medline: 18 6 2022
entrez: 23 11 2021
Statut: ppublish

Résumé

To validate and refine typologies of consultation performance from previous research to identify learning needs associated with each typology. We performed a qualitative study in a General Practice Specialty Training programme, using a two-stage design. First, we selected four exemplars from 80 videotaped consultations of 7 first-year and 6 third-year trainees that reflected the four typologies. We subsequently held individual interviews with clinical supervisors (N = 20) who observed these consultations to identify recurrent trainee behaviours. The 'doctor-patient interaction' dimension from previous research was specified to encompass relationship-building, exploring, structuring, and shared decision-making competencies. Medical expertise was a moderating factor. The attitude and consultation behaviours included in the typologies were validated and we formulated directions for learning based on learning needs identified per typology. Supervisors have a shared frame of reference for the behaviours reflecting proficient consultation performance. Serving as a developmental road map, all learning needs emphasised contextual adaptation, calling for an improved balance between patient-centred relationship building and application of medical expertise. By providing rich and tailored feedback on consultation performance, the refined typologies - albeit subject to additional refinement in future research - may promote the monitoring of individual competence development over time.

Identifiants

pubmed: 34810057
pii: S0738-3991(21)00720-5
doi: 10.1016/j.pec.2021.10.035
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2276-2284

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Angelique Timmerman (A)

Maastricht University, Department of Family Medicine, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht, The Netherlands. Electronic address: a.timmerman@maastrichtuniversity.nl.

Marjolein Oerlemans (M)

Maastricht University, Department of Family Medicine, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht, The Netherlands.

Cees van der Vleuten (C)

Maastricht University, Department of Educational Development and Research, School of Health Professions Education, Faculty of Health, Medicine and Life Sciences, Maastricht, The Netherlands.

Teresa Pawlikowska (T)

RCSI University of Medicine and Health Sciences, Health Professions Education Centre, Dublin, Ireland.

Paul Ram (P)

Maastricht University, Department of Family Medicine, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht, The Netherlands.

Jean Muris (J)

Maastricht University, Department of Family Medicine, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht, The Netherlands.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH