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Research

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

Liesbeth Hunik, Shelley Galvin, Tim olde Hartman, Elizabeth Rieger, Peter Lucassen, Kirsty Douglas, Pauline Boeckxstaens and Elizabeth Sturgiss
BJGP Open 10 November 2020; bjgpopen20X101131. DOI: https://doi.org/10.3399/bjgpopen20X101131
Liesbeth Hunik
1 Primary and Community Care, Radboud Universiteit, Nijmegens, Netherlands
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Shelley Galvin
2 UNC Health Sciences at MAHEC, Mountain Area Health Education Center, Asheville, United States
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Tim olde Hartman
1 Primary and Community Care, Radboud Universiteit, Nijmegens, Netherlands
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Elizabeth Rieger
3 Research School of Psychology, Australian National University Research School of Psychology, Canberra, Australia
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Peter Lucassen
1 Primary and Community Care, Radboud Universiteit, Nijmegens, Netherlands
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Kirsty Douglas
4 Australian National University Medical School, Canberra, Australia
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Pauline Boeckxstaens
5 Department of Family Medicine and Primary Healthcare, Gent, Belgium
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Elizabeth Sturgiss
6 Department of General practice, Monash University, Clayton, Australia
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  • For correspondence: elizabeth.sturgiss@anu.edu.au
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Abstract

Background: Therapeutic alliance is a framework from psychology that describes three components: bond, task and goals. The Working Alliance Inventory adapted for general practice (WAI-GP), measures the strength of the therapeutic alliance between patient and clinician and could be useful in both research and clinical settings. Aim: To determine if the patient score on WAI-GP can delineate the three components and to test concurrent validity with the Consultation and Relational Empathy (CARE) and the Patient Perception of Patient-Centred (PPPC) measure. Design and Setting: A cross-sectional study in twelve general practice waiting rooms in Australia. Method: The research instruments included the 12-item WAI-GP(patient), 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, we combined this dataset with an existing dataset. We used Spearmen correlations determined concurrent validity between the WAI-GP and the CARE and PPPC. Results: Participants (97-99%) reported a strong positive alliance after the consultation (average WAI-GP mean 4.30 ± 0.62, out of 5,n=142). Factor analysis could not separate the three components (one factor, Eigen value >1; Cronbach’s α=0.957;n=281). Concurrent validity was supported by moderate correlations with the other measures (PPPC rho=-0.51, P <0.005, CARE rho=0.56, P <0.005). Conclusions: We couldn't identify three components, 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 practice.

  • Clinical (general)
  • Consultation skills
  • Patient perspectives
  • Patient groups
  • Child health
  • Received April 20, 2020.
  • Accepted June 8, 2020.
  • Copyright © 2020, The Authors

This article is Open Access: CC BY license (https://creativecommons.org/licenses/by/4.0/)

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Accepted Manuscript
Exploring the psychometric properties of the Working Alliance Inventory in general practice: a cross-sectional study
Liesbeth Hunik, Shelley Galvin, Tim olde Hartman, Elizabeth Rieger, Peter Lucassen, Kirsty Douglas, Pauline Boeckxstaens, Elizabeth Sturgiss
BJGP Open 10 November 2020; bjgpopen20X101131. DOI: 10.3399/bjgpopen20X101131

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Accepted Manuscript
Exploring the psychometric properties of the Working Alliance Inventory in general practice: a cross-sectional study
Liesbeth Hunik, Shelley Galvin, Tim olde Hartman, Elizabeth Rieger, Peter Lucassen, Kirsty Douglas, Pauline Boeckxstaens, Elizabeth Sturgiss
BJGP Open 10 November 2020; bjgpopen20X101131. DOI: 10.3399/bjgpopen20X101131
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Keywords

  • clinical (general)
  • Consultation skills
  • Patient perspectives
  • Patient groups
  • child health

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