Exploring the psychometric properties of the Working Alliance Inventory in general practice: a cross-sectional study
| dc.contributor.author | Hunik, Liesbeth | |
| dc.contributor.author | Galvin, Shelley | |
| dc.contributor.author | Olde Hartman, Tim | |
| dc.contributor.author | Rieger, Elizabeth | |
| dc.contributor.author | Lucassen, Peter | |
| dc.contributor.author | Douglas, Kirsty | |
| dc.contributor.author | Boeckxstaens, Pauline | |
| dc.contributor.author | Sturgiss, Elizabeth | |
| dc.date.accessioned | 2023-02-09T22:30:11Z | |
| dc.date.available | 2023-02-09T22:30:11Z | |
| dc.date.issued | 2021 | |
| dc.date.updated | 2021-12-02T05:02:48Z | |
| dc.description.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. | en_AU |
| dc.description.sponsorship | This work was supported by the 2016 Chris Silagy Research Scholarship grant from the Royal Australian College of General Practitioners (SIL16 575968). | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 2398-3795 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/285109 | |
| dc.language.iso | en_AU | en_AU |
| dc.provenance | CC BY license | en_AU |
| dc.publisher | Royal College of General Practitioners | en_AU |
| dc.rights | Copyright © 2020, The Authors | en_AU |
| dc.rights.license | Creative Commons Attribution License | en_AU |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_AU |
| dc.source | BJGP Open | en_AU |
| dc.title | Exploring the psychometric properties of the Working Alliance Inventory in general practice: a cross-sectional study | en_AU |
| dc.type | Journal article | en_AU |
| dcterms.accessRights | Open Access | en_AU |
| local.bibliographicCitation.issue | 1 | en_AU |
| local.bibliographicCitation.lastpage | 9 | en_AU |
| local.bibliographicCitation.startpage | 1 | en_AU |
| local.contributor.affiliation | Hunik, Liesbeth, Radboud University | en_AU |
| local.contributor.affiliation | Galvin, Shelley, MAHEC Center for Research | en_AU |
| local.contributor.affiliation | Olde Hartman, Tim, Radboud University | en_AU |
| local.contributor.affiliation | Rieger, Elizabeth, College of Health and Medicine, ANU | en_AU |
| local.contributor.affiliation | Lucassen, Peter, Radboud University Nijmegen Medical Centre | en_AU |
| local.contributor.affiliation | Douglas, Kirsty, College of Health and Medicine, ANU | en_AU |
| local.contributor.affiliation | Boeckxstaens, Pauline, Ghent University | en_AU |
| local.contributor.affiliation | Sturgiss , Elizabeth , Monash University | en_AU |
| local.contributor.authoruid | Rieger, Elizabeth, u4740611 | en_AU |
| local.contributor.authoruid | Douglas, Kirsty, u2572713 | en_AU |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 420300 - Health services and systems | en_AU |
| local.identifier.ariespublication | a383154xPUB18086 | en_AU |
| local.identifier.citationvolume | 5 | en_AU |
| local.identifier.doi | 10.3399/bjgpopen20X101131 | en_AU |
| local.identifier.scopusID | 2-s2.0-85102481831 | |
| local.publisher.url | https://bjgpopen.org/ | en_AU |
| local.type.status | Published Version | en_AU |
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