What constitutes "behavioral health"? Perceptions of substance-related problems and their treatment in primary care

Integrating Alcohol-Related Prevention and Treatment Into Primary Care: A Cluster Randomized Implementation Trial

Importance

Unhealthy alcohol use is common and affects morbidity and mortality but is often neglected in medical settings, despite guidelines for both prevention and treatment.

Objective

To test an implementation intervention to increase (1) population-based alcohol-related prevention with brief interventions and (2) treatment of alcohol use disorder (AUD) in primary care implemented with a broader program of behavioral health integration.

Design, Setting, and Participants

The Sustained Patient-Centered Alcohol-Related Care (SPARC) trial was a stepped-wedge cluster randomized implementation trial, including 22 primary care practices in an integrated health system in Washington state. Participants consisted of all adult patients (aged ≥18 years) with primary care visits from January 2015 to July 2018. Data were analyzed from August 2018 to March 2021.

Interventions

The implementation intervention included 3 strategies: practice facilitation; electronic health record decision support; and performance feedback. Practices were randomly assigned launch dates, which placed them in 1 of 7 waves and defined the start of the practice's intervention period.

Main Outcomes and Measures

Coprimary outcomes for prevention and AUD treatment were (1) the proportion of patients who had unhealthy alcohol use and brief intervention documented in the electronic health record (brief intervention) for prevention and (2) the proportion of patients who had newly diagnosed AUD and engaged in AUD treatment (AUD treatment engagement). Analyses compared monthly rates of primary and intermediate outcomes (eg, screening, diagnosis, treatment initiation) among all patients who visited primary care during usual care and intervention periods using mixed-effects regression.

Results

A total of 333 596 patients visited primary care (mean [SD] age, 48 [18] years; 193 583 [58%] female; 234 764 [70%] White individuals). The proportion with brief intervention was higher during SPARC intervention than usual care periods (57 vs 11 per 10 000 patients per month; P < .001). The proportion with AUD treatment engagement did not differ during intervention and usual care (1.4 vs 1.8 per 10 000 patients; P = .30). The intervention increased intermediate outcomes: screening (83.2% vs 20.8%; P < .001), new AUD diagnosis (33.8 vs 28.8 per 10 000; P = .003), and treatment initiation (7.8 vs 6.2 per 10 000; P = .04).

Conclusions and Relevance

In this stepped-wedge cluster randomized implementation trial, the SPARC intervention resulted in modest increases in prevention (brief intervention) but not AUD treatment engagement in primary care, despite important increases in screening, new diagnoses, and treatment initiation.

Trial Registration

ClinicalTrials.gov Identifier: NCT02675777.

Evaluating the Implementation of a Model of Integrated Behavioral Health in Primary Care: Perceptions of the Healthcare Team

OBJECTIVES

This study aims to compare primary care providers and medical assistants in degrees of comfort, confidence, and consistency when addressing behavioral health concerns with patients before and after the implementation of a model of integrated behavioral health in primary care (IBHPC), and evaluate whether these perceptions differ based on increased access to behavioral health clinicians.

METHODS

This longitudinal study was conducted at 2 primary care clinics in Northern California while implementing an IBHPC model. The Integrated Behavioral Health Staff Perceptions Survey was administered to assess the comfort, confidence, and consistency of behavioral health practices. Confidential online surveys were distributed to primary care faculty and staff members before and post-implementation. Responses from providers and medical assistants were compared between pre- and post-implementation with linear regression analyses. The relationships between accessibility to behavioral health clinicians and a change in comfort, confidence, and consistency of behavioral health practices were explored using a linear mixed-effects model.

RESULTS

A total of 35 providers and medical assistants completed the survey both before and post-implementation of IBHPC. Over time, there were increasingly positive perceptions about the consistency of behavioral health screening (P = .03) and overall confidence in addressing behavioral health concerns (P = .005). Comfort in addressing behavioral health concerns did not significantly change for either providers or staff over time. Medical assistants were initially more confident and comfortable addressing behavioral health concerns than providers, but providers' attitudes increased post-IBHPC implementation. Improved access to behavioral health clinicians was associated with greater consistency of screening and referral to specialty mental health care (P < .001).

CONCLUSION

The present study is the first to explore differences in provider and medical assistant perceptions during the course of an IBHPC implementation. Findings underscore the importance of integrating medical assistants, along with providers, into all phases of the implementation process.

Substance use disorder approaches in US primary care clinics with national reputations as workforce innovators

BACKGROUND

Over the last decade, primary care clinics in the United States have responded both to national policies encouraging clinics to support substance use disorders (SUD) service expansion and to regulations aiming to curb the opioid epidemic.

OBJECTIVE

To characterize approaches to SUD service expansion in primary care clinics with national reputations as workforce innovators.

METHODS

Comparative case studies were conducted to characterize different approaches among 12 primary care clinics purposively and iteratively recruited from a national registry of workforce innovators. Observational field notes and qualitative interviews from site visits were coded and analysed to identify and characterize clinic attributes.

RESULTS

Codes describing clinic SUD expansion approaches emerged from our analysis. Clinics were characterized as: avoidant (n = 3), contemplative (n = 5) and responsive (n = 4). Avoidant clinics were resistant to planning SUD service expansion; had no or few on-site behavioural health staff; and lacked on-site medication treatment (previously termed medication-assisted therapy) waivered providers. Contemplative clinics were planning or had partially implemented SUD services; members expressed uncertainties about expansion; had co-located behavioural healthcare providers, but no on-site medication treatment waivered and prescribing providers. Responsive clinics had fully implemented SUD; members used non-judgmental language about SUD services; had both co-located SUD behavioural health staff trained in SUD service provision and waivered medication treatment physicians and/or a coordinated referral pathway.

CONCLUSIONS

Efforts to support SUD service expansion should tailor implementation supports based on specific clinic training and capacity building needs. Future work should inform the adaption of evidence-based practices that are responsive to resource constraints to optimize SUD treatment access.