Search

The article focuses on the increase in common behavioral health conditions due to cannabis use disorders (CUD) in the U.S. Topics discussed include collection of data from annual behavioral health screening and questionnaires, and primary care of adult patients with diagnosed mental health and substance use disorder.

Background: This pilot study evaluated whether use of evidence-based implementation strategies to integrate care for cannabis and other drug use into primary care (PC) as part of Behavioral Health Integration (BHI) increased diagnosis and treatment of substance use disorders (SUDs).Methods: Patients who visited the three pilot PC sites were eligible. Implementation strategies included practice coaching, electronic health record decision support, and performance feedback (3/2015-4/2016). BHI introduced annual screening for past-year cannabis and other drug use, a Symptom Checklist for DSM-5 SUDs, and shared decision-making about treatment options. Main analyses tested whether the proportions of PC patients diagnosed with, and treated for, new cannabis or other drug use disorders (CUDs and DUDs, respectively), differed significantly pre- and post-implementation.Results: Of 39,599 eligible patients, 57% and 59% were screened for cannabis and other drug use, respectively. Among PC patients reporting daily cannabis use (2%) or any drug use (1%), 51% and 37%, respectively, completed an SUD Symptom Checklist. The proportion of PC patients with newly diagnosed CUD increased significantly post-implementation (5 v 17 per 10,000 patients, p < 0.0001), but not other DUDs (10 vs 13 per 10,000, p = 0.24). The proportion treated for newly diagnosed CUDs did not increase post-implementation (1 vs 1 per 10,000, p = 0.80), but did for those treated for newly diagnosed other DUDs (1 vs 3 per 10,000, p = 0.038).Conclusions: A pilot implementation of BHI to increase routine screening and assessment for SUDs was associated with increased new CUD diagnoses and a small increase in treatment of new other DUDs. [ABSTRACT FROM AUTHOR]

Background and Objective: Population-based alcohol screening, followed by brief intervention for patients who screen positive for unhealthy alcohol use, is widely recommended for primary care settings and considered a top prevention priority, but is challenging to implement. However, new policy initiatives in the U.S., including the Affordable Care Act, may help launch widespread implementation. While the nationwide Veterans Health Administration (VA) has achieved high rates of documented alcohol screening and brief intervention, research has identified quality problems with both. We conducted a qualitative key informant study to describe local implementation of alcohol screening and brief intervention from the perspectives of frontline adopters in VA primary care in order to understand the process of implementation and factors underlying quality problems.Methods: A purposive snowball sampling method was used to identify and recruit key informants from 5 VA primary care clinics in the northwestern U.S. Key informants completed 20-30 minute semi-structured interviews, which were recorded, transcribed, and qualitatively analyzed using template analysis.Results: Key informants (N=32) included: clinical staff (n=14), providers (n=14), and administrative informants (n=4) with varying participation in implementation of and responsibility for alcohol screening and brief intervention at the medical center. Ten inter-related themes (5 a priori and 5 emergent) were identified and grouped into 3 applicable domains of Greenhalgh's conceptual framework for dissemination of innovations, including values of adopters (theme 1), processes of implementation (themes 2 and 3), and post-implementation consequences in care processes (themes 4-10). While key informants believed alcohol use was relevant to health and important to address, the process of implementation (in which no training was provided and electronic clinical reminders "just showed up") did not address critical training and infrastructure needs. Key informants lacked understanding of the goals of screening and brief intervention, believed referral to specialty addictions treatment (as opposed to offering brief intervention) was the only option for following up on a positive screen, reported concern regarding limited availability of treatment resources, and lacked optimism regarding patients' interest in seeking help.Conclusions: Findings suggest that the local process of implementing alcohol screening and brief intervention may have inadequately addressed important adopter needs and thus may have ultimately undermined, instead of capitalized on, staff and providers' belief in the importance of addressing alcohol use as part of primary care. Additional implementation strategies, such as training or academic detailing, may address some unmet needs and help improve the quality of both screening and brief intervention. However, these strategies may be resource-intensive and insufficient for comprehensively addressing implementation barriers. [ABSTRACT FROM AUTHOR]

Background: Cannabis and other drug use is associated with adverse health events, but little is known about the association of routine clinical screening for cannabis or other drug use and acute care utilization. This study evaluated whether self-reported frequency of cannabis or other drug use was associated with subsequent acute care.Method: This retrospective cohort study used EHR and claims data from 8 sites in Washington State that implemented annual substance use screening. Eligible adult primary care patients (N = 47,447) completed screens for cannabis (N = 45,647) and/or other drug use, including illegal drug use and prescription medication misuse, (N = 45,255) from 3/3/15-10/1/2016. Separate single-item screens assessed frequency of past-year cannabis and other drug use: never, less than monthly, monthly, weekly, daily/almost daily. An indicator of acute care utilization measured any urgent care, emergency department visits, or hospitalizations ≤19 months after screening. Adjusted Cox proportional hazards models estimated risk of acute care.Results: Patients were predominantly non-Hispanic White. Those reporting cannabis use less than monthly (Hazard Ratio [HR] = 1.12, 95 % CI = 1.03-1.21) or daily (HR = 1.24; 1.10-1.39) had greater risk of acute care during follow-up than those reporting no use. Patients reporting other drug use less than monthly (HR = 1.34; 1.13-1.59), weekly (HR = 2.21; 1.46-3.35), or daily (HR = 2.53; 1.86-3.45) had greater risk of acute care than those reporting no other drug use.Conclusion: Population-based screening for cannabis and other drug use in primary care may have utility for understanding risk of subsequent acute care. It is unclear whether findings will generalize to U.S. states with broader racial/ethnic diversity. [ABSTRACT FROM AUTHOR]