Background: An academic-community partnership was created to integrate education and training on the evidence-based practice of Screening, Brief Intervention and Referral to Treatment (SBIRT) for substance use into the undergraduate nursing curriculum at a major research university. The purpose of this paper is to: 1) describe an 11-module addictions training program created through an academic-community partnership; and 2) discuss curriculum implications for other schools of nursing.
Methods: A case study presents the collaboration between a school of nursing and a nonprofit agency specializing in addictions that created substance use training materials and skill-building exercises specifically for undergraduate nurses.
Results: The 11-module addictions training curriculum component lasted 13 total hours and was incorporated into the 15-week Psychiatric Mental Health Nursing course and clinical rotations. The evidence-based addictions training model was successfully provided to 392 undergraduate nurses and 39 instructors.
Discussion: Schools of nursing and other health agencies can utilize the substance use screening and brief intervention curriculum. By raising nursing students’ awareness about the prevalence of harmful substance use, the academic- community partnership helped to deconstruct the stereotypes and stigma associated substance use, abuse, and addiction
The Alcohol and Alcohol Problems Perception Questionnaire (AAPPQ) is a multi-dimensional measure of clinicians' attitudes toward working with patients with alcohol problems. In the past 35 years, five- and six-subscale versions and a short version of the AAPPQ have been published. While the reliability of the AAPPQ subscales has remained acceptable, the factor structure has not been verified using confirmatory techniques. In the current study, we split a sample of 299 baccalaureate nursing students to use exploratory (EFA) and confirmatory factor analyses (CFA). When compared to the original six-factor solution and an imposed six-factor structure in CFA, the EFA seven-factor solution with three original items (19, 20, and 25) removed had the best model fit.
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