Screening for adolescent alcohol and drug use in pediatric health-care settings: predictors and implications for practice and policy.

Addict Sci Clin Pract

Division of Research, Kaiser Permanente Northern California, 2000 Broadway, 3rd Floor, Oakland, CA 94612, USA.

Published: August 2012

Objective: This paper used data from a study of pediatric primary care provider (PCP) screening practices to examine barriers to and facilitators of adolescent alcohol and other drug (AOD) screening in pediatric primary care.

Methods: A web-based survey (N = 437) was used to examine the influence of PCP factors (attitudes and knowledge, training, self-efficacy, comfort with alcohol and drug issues); patient characteristics (age, gender, ethnicity, comorbidities and risk factors); and organizational factors (screening barriers, staffing resources, confidentiality issues) on AOD screening practices. Self-reported and electronic medical record (EMR)-recorded screening rates were also assessed.

Results: More PCPs felt unprepared to diagnose alcohol abuse (42%) and other drug abuse (56%) than depression (29%) (p < 0.001). Overall, PCPs were more likely to screen boys than girls, and male PCPs were even more likely than female PCPs to screen boys (23% versus 6%, p < 0.0001). Having more time and having other staff screen and review results were identified as potential screening facilitators. Self-reported screening rates were significantly higher than actual (EMR-recorded) rates for all substances. Feeling prepared to diagnose AOD problems predicted higher self-reported screening rates (OR = 1.02, p < 0.001), and identifying time constraints as a barrier to screening predicted lower self-reported screening rates (OR = 0.91, p < 0.001). Higher average panel age was a significant predictor of increased EMR-recorded screening rates (OR = 1.11, p < 0.001).

Conclusions: Organizational factors, lack of training, and discomfort with AOD screening may impact adolescent substance-abuse screening and intervention, but organizational approaches (e.g., EMR tools and workflow) may matter more than PCP or patient factors in determining screening.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3684548PMC
http://dx.doi.org/10.1186/1940-0640-7-13DOI Listing

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