324
Views
0
CrossRef citations to date
0
Altmetric
Articles

Therapeutic Alliance in Substance Dependence Treatment: HAq-II Comparisons between Social Workers and Nurses

ORCID Icon &
Pages 256-264 | Published online: 13 May 2020
 

Abstract

As social workers and nurses comprise much of the substance dependence treatment team, it is critical to evaluate how well they perform in a context where they bring different professional orientations and perform different treatment roles. The therapeutic alliance (TA) is one clinical outcome indicator that is potentially predictive of client engagement and retention, two prerequisites for successful treatment. TA in substance dependence treatment has been measured using the Revised Helping Alliance Questionnaire (HAq-II), a 19-item likert-type measure assessing clients’ perceived “therapeutic alliance” with the therapists who are treating them. Through secondary analysis of the 2006-2010 Addiction Health Evaluation and Disease (AHEAD) Management Study, the authors examined alcohol or other drug-dependent participants (N = 60) who completed the HAq-II for the social workers and nurses. Findings reveal that social workers’ scores were significantly higher than scores for the nurses. On average, social workers received a score 8.5 points higher than nurses (p < 0.001). Implications for the participation of social workers and other health professionals in interprofessional addiction treatment teams and directions for future research are discussed.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 378.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.