Exploring the psychometric properties of the Working Alliance Inventory in general practice: a cross-sectional study.

physician—patient relations primary health care quality of health care

Journal

BJGP open
ISSN: 2398-3795
Titre abrégé: BJGP Open
Pays: England
ID NLM: 101713531

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 20 04 2020
accepted: 21 05 2020
pubmed: 12 11 2020
medline: 12 11 2020
entrez: 11 11 2020
Statut: epublish

Résumé

The therapeutic alliance is a framework from psychology that describes three components: goals, tasks, and bond. The Working Alliance Inventory adapted for general practice (WAI-GP) measures the strength of the therapeutic alliance between the patient and the clinician, and it could be useful in both research and clinical settings. To determine if the patient score on WAI-GP can delineate the three components (goals, tasks, and bond), and to test concurrent validity with the Consultation and Relational Empathy (CARE) measure and the Patient Perception of Patient-Centredness (PPPC) measure. A cross-sectional study took place in 12 general practice waiting rooms in Australia. The research instruments included the 12-item WAI-GP (the patient version), the CARE and PPPC measures, plus a survey of demographics and reason for consultation. To perform a principal components factor analysis of the WAI-GP, this dataset was combined with an existing dataset. The Spearman rank correlation was used to determine concurrent validity between the WAI-GP and the CARE and PPPC measures. Participants (97-99%) reported a strong positive alliance after the consultation (average WAI-GP mean 4.27 ± 0.67 out of 5, Three components could not be identified, but the WAI-GP has a high internal consistency and concurrent validity with moderate correlations with the CARE and PPPC. A more diverse sample may better distinguish the three components leading to more specific feedback to clinicians on their consultation practices.

Sections du résumé

BACKGROUND BACKGROUND
The therapeutic alliance is a framework from psychology that describes three components: goals, tasks, and bond. The Working Alliance Inventory adapted for general practice (WAI-GP) measures the strength of the therapeutic alliance between the patient and the clinician, and it could be useful in both research and clinical settings.
AIM OBJECTIVE
To determine if the patient score on WAI-GP can delineate the three components (goals, tasks, and bond), and to test concurrent validity with the Consultation and Relational Empathy (CARE) measure and the Patient Perception of Patient-Centredness (PPPC) measure.
DESIGN & SETTING METHODS
A cross-sectional study took place in 12 general practice waiting rooms in Australia.
METHOD METHODS
The research instruments included the 12-item WAI-GP (the patient version), the CARE and PPPC measures, plus a survey of demographics and reason for consultation. To perform a principal components factor analysis of the WAI-GP, this dataset was combined with an existing dataset. The Spearman rank correlation was used to determine concurrent validity between the WAI-GP and the CARE and PPPC measures.
RESULTS RESULTS
Participants (97-99%) reported a strong positive alliance after the consultation (average WAI-GP mean 4.27 ± 0.67 out of 5,
CONCLUSION CONCLUSIONS
Three components could not be identified, but the WAI-GP has a high internal consistency and concurrent validity with moderate correlations with the CARE and PPPC. A more diverse sample may better distinguish the three components leading to more specific feedback to clinicians on their consultation practices.

Identifiants

pubmed: 33172852
pii: bjgpopen20X101131
doi: 10.3399/bjgpopen20X101131
pmc: PMC7960525
pii:
doi:

Types de publication

Journal Article

Langues

eng

Informations de copyright

Copyright © 2020, The Authors.

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Auteurs

Liesbeth Hunik (L)

Department of Primary and Community Care, Radboud University, Nijmegen, The Netherlands.

Shelley Galvin (S)

UNC Health Sciences at MAHEC, Mountain Area Health Education Center, Asheville, USA.

Tim Olde Hartman (T)

Department of Primary and Community Care, Radboud University, Nijmegen, The Netherlands.

Elizabeth Rieger (E)

Research School of Psychology, Australian National University Research School of Psychology, The Australian National University, Acton, Australia.

Peter Lucassen (P)

Department of Primary and Community Care, Radboud University, Nijmegen, The Netherlands.

Kirsty Douglas (K)

Australia Academic Unit of General Practice, Australian National University Medical School, The Australian National University, Garran, Australia.

Pauline Boeckxstaens (P)

Department of Family Medicine and Primary Healthcare, Ghent University, Gent, Belgium.

Elizabeth Sturgiss (E)

Department of General Practice, Monash University, Melbourne, Australia liz.sturgiss@monash.edu.

Classifications MeSH