Working alliance patterns in a context of supported employment programmes for people with a severe mental illness: An employment specialist perspective

Background: Developing a good working alliance with clients with a severe mental illness (SMI) is a core competency of the employment specialist (ES). The ES's assessment of the working alliance was found to be related to the client's acquisition of a job in the regular market but we have little information on the processes and factors involved. Objective: To understand the development of the work alliance as assessed by the ES and its relationship to the client's acquisition of employment. Factors that may facilitate or hinder the development and evolution of the alliance were also explored. Methods: Cluster analysis was used to define alliance development patterns, while frequency analyses were used to identify differences between the patterns in terms of whether the clients with SMI obtained (or not) employment. Interviews with ESs explored factors that may have explained the different patterns. Results: Three patterns of working alliance were found and the one most often linked to client employment was the very high and stable pattern. The factors that might explain the different patterns are complex and interrelated. Conclusion: The results can be considered in the ES's initial and ongoing training on the working alliance and the implementation of quality supported employment programmes.

Authors

Institutions

Publication Details

Journal
Journal of Vocational Rehabilitation
Published
2024-10-21
DOI
https://doi.org/10.1177/10522263241286333
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Working alliance patterns in a context of supported employment programmes for people with a severe mental illness: An employment specialist perspective

Marc Corbière, Élyse Charette-Dussault
Journal of Vocational Rehabilitation
Schizophrenia research and treatment
article

Working alliance patterns in a context of supported employment programmes for people with a severe mental illness: An employment specialist perspective

Marc Corbière, Élyse Charette-Dussault
article en

Abstract

Background: Developing a good working alliance with clients with a severe mental illness (SMI) is a core competency of the employment specialist (ES). The ES's assessment of the working alliance was found to be related to the client's acquisition of a job in the regular market but we have little information on the processes and factors involved. Objective: To understand the development of the work alliance as assessed by the ES and its relationship to the client's acquisition of employment. Factors that may facilitate or hinder the development and evolution of the alliance were also explored. Methods: Cluster analysis was used to define alliance development patterns, while frequency analyses were used to identify differences between the patterns in terms of whether the clients with SMI obtained (or not) employment. Interviews with ESs explored factors that may have explained the different patterns. Results: Three patterns of working alliance were found and the one most often linked to client employment was the very high and stable pattern. The factors that might explain the different patterns are complex and interrelated. Conclusion: The results can be considered in the ES's initial and ongoing training on the working alliance and the implementation of quality supported employment programmes.

Journal of Vocational RehabilitationVol. 61(3)
Université du Québec à Montréal (CA), Institut Universitaire en Santé Mentale de Québec (CA)
Openalex Percentile: Top 68%
Schizophrenia research and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.