Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

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

Loading...
Thumbnail Image

Date

Authors

Hunik, Liesbeth
Galvin, Shelley
Olde Hartman, Tim
Rieger, Elizabeth
Lucassen, Peter
Douglas, Kirsty
Boeckxstaens, Pauline
Sturgiss, Elizabeth

Journal Title

Journal ISSN

Volume Title

Publisher

Royal College of General Practitioners

Abstract

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: 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: A cross-sectional study took place in 12 general practice waiting rooms in Australia. Method: 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: Participants (97-99%) reported a strong positive alliance after the consultation (average WAI-GP mean 4.27 +- 0.67 out of 5, n = 146). Factor analysis could not separate the three components (one factor, eigenvalue >1; Cronbach’s α = 0.957; n = 281). Concurrent validity was supported by moderate correlations with the other measures (PPPC ρ = -0.51, P<0.005, CARE ρ = 0.56, P<0.005). Conclusion: 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.

Description

Keywords

Citation

Source

BJGP Open

Book Title

Entity type

Access Statement

Open Access

License Rights

Creative Commons Attribution License

Restricted until

abcd