Literature DB >> 17017308

Perspectives of college students and their primary health care providers on substance abuse screening and intervention.

Julie A Baldwin1, Rhonda M Johnson, Nina K Gotz, Heidi A Wayment, Kristan Elwell.   

Abstract

The authors conducted a needs assessment among students and health-care providers of a southwestern university health center with the goal of developing health-care-provider training addressing substance-abuse screening and intervention. They collected data from focus groups of undergraduate students and structured interviews and questionnaires with health-care providers. They identified gaps in provider and student perspectives on the extent of substance abuse on campus and the perceived roles of health-care providers and patients in screening and conducting interventions for substance abuse. These findings suggest that training for college health-care providers regarding substance-abuse brief screening and intervention should emphasize confidentiality of student medical records, the importance of nonjudgmental attitudes toward students, and the role of the provider as one who is competent and appropriate to address substance abuse. Such training should also educate providers about the types of substances students are using.

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Mesh:

Year:  2006        PMID: 17017308     DOI: 10.3200/JACH.55.2.115-120

Source DB:  PubMed          Journal:  J Am Coll Health        ISSN: 0744-8481


  4 in total

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Authors:  T Steyl; J Phillips
Journal:  Afr Health Sci       Date:  2011-09       Impact factor: 0.927

2.  College students' preferences for health care providers when accessing sexual health resources.

Authors:  Carolyn M Garcia; Kate E Lechner; Ellen A Frerich; Katherine A Lust; Marla E Eisenberg
Journal:  Public Health Nurs       Date:  2014-04-03       Impact factor: 1.462

3.  Implementation of universal behavioral health screening in a university health setting.

Authors:  Robyn L Shepardson; Jennifer S Funderburk
Journal:  J Clin Psychol Med Settings       Date:  2014-09

4.  Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.

Authors:  Lili Chan; Girish N Nadkarni; Fergus Fleming; James R McCullough; Patricia Connolly; Gohar Mosoyan; Fadi El Salem; Michael W Kattan; Joseph A Vassalotti; Barbara Murphy; Michael J Donovan; Steven G Coca; Scott M Damrauer
Journal:  Diabetologia       Date:  2021-04-02       Impact factor: 10.122

  4 in total

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