Collaborating to heal addiction and mental health in primary care (CHAMP): A protocol for a hybrid type 2a trial.

BACKGROUND: The gold-standard treatment for opioid use disorder (OUD) is medication for OUD (MOUD). However, less than a quarter of people with OUD initiate MOUD. Expanding the Collaborative Care Model (CoCM) to include primary care patients with OUD could improve access to and initiation of MOUD. This paper presents the methods and baseline sample characteristics of a Hybrid Type 2a trial comparing the effectiveness of CoCM for OUD and co-occurring mental health symptoms (MHS) to CoCM for MHS only. METHOD: 42 primary care clinics were cluster randomized and 254 primary care patients with OUD and elevated MHS were enrolled. Recruitment was terminated early by the Data and Safety Monitoring Board for futility. Participants completed research assessments at baseline, 3 months, and 6 months. The multiple primary outcomes were past-month number of days of nonmedical opioid use and SF12 Mental Health Component Summary (MCS) scores. RESULTS: MCS scores were over a standard deviation below the national mean (M = 34.5). Nearly half (47.6 %) of participants had previously overdosed in their lifetimes. Three quarters (76.0 %) were already being prescribed MOUD at baseline, only 30.4 % reported non-medical use of opioids, and only 33.9 % reported being bothered by opioid cravings. CONCLUSION: The unexpectedly high proportion of enrollees already prescribed MOUD at baseline indicates that most patients were in the maintenance rather than acute phase of treatment. Challenges identifying and enrolling patients in the acute phase of OUD treatment implies that intervention effectiveness will depend on its success preventing the discontinuation of MOUD rather than initiating MOUD.

Application of an Adapted Health Action Process Approach Model to Predict Engagement With a Digital Mental Health Website: Cross-Sectional Study.

BACKGROUND: Digital Mental Health (DMH) tools are an effective, readily accessible, and affordable form of mental health support. However, sustained engagement with DMH is suboptimal, with limited research on DMH engagement. The Health Action Process Approach (HAPA) is an empirically supported theory of health behavior adoption and maintenance. Whether this model also explains DMH tool engagement remains unknown. OBJECTIVE: This study examined whether an adapted HAPA model predicted engagement with DMH via a self-guided website. METHODS: Visitors to the Mental Health America (MHA) website were invited to complete a brief survey measuring HAPA constructs. This cross-sectional study tested the adapted HAPA model with data collected using voluntary response sampling from 16,078 sessions (15,619 unique IP addresses from United States residents) on the MHA website from October 2021 through February 2022. Model fit was examined via structural equation modeling in predicting two engagement outcomes: (1) choice to engage with DMH (ie, spending 3 or more seconds on an MHA page, excluding screening pages) and (2) level of engagement (ie, time spent on MHA pages and number of pages visited, both excluding screening pages). RESULTS: Participants chose to engage with the MHA website in 94.3% (15,161/16,078) of the sessions. Perceived need (ß=.66; P<.001), outcome expectancies (ß=.49; P<.001), self-efficacy (ß=.44; P<.001), and perceived risk (ß=.17-.18; P<.001) significantly predicted intention, and intention (ß=.77; P<.001) significantly predicted planning. Planning was not significantly associated with choice to engage (ß=.03; P=.18). Within participants who chose to engage, the association between planning with level of engagement was statistically significant (ß=.12; P<.001). Model fit indices for both engagement outcomes were poor, with the adapted HAPA model accounting for only 0.1% and 1.4% of the variance in choice to engage and level of engagement, respectively. CONCLUSIONS: Our data suggest that the HAPA model did not predict engagement with DMH via a self-guided website. More research is needed to identify appropriate theoretical frameworks and practical strategies (eg, digital design) to optimize DMH tool engagement.

Bisphenol A Exposure Induces Sensory Processing Deficits in Larval Zebrafish during Neurodevelopment.

Because of their ex utero development, relatively simple nervous system, translucency, and availability of tools to investigate neural function, larval zebrafish are an exceptional model for understanding neurodevelopmental disorders and the consequences of environmental toxins. Furthermore, early in development, zebrafish larvae easily absorb chemicals from water, a significant advantage over methods required to expose developing organisms to chemical agents in utero Bisphenol A (BPA) and BPA analogs are ubiquitous environmental toxins with known molecular consequences. All humans have measurable quantities of BPA in their bodies. Most concerning, the level of BPA exposure is correlated with neurodevelopmental difficulties in people. Given the importance of understanding the health-related effects of this common toxin, we have exploited the experimental advantages of the larval zebrafish model system to investigate the behavioral and anatomic effects of BPA exposure. We discovered that BPA exposure early in development leads to deficits in the processing of sensory information, as indicated by BPA's effects on prepulse inhibition (PPI) and short-term habituation (STH) of the C-start reflex. We observed no changes in locomotion, thigmotaxis, and repetitive behaviors (circling). Despite changes in sensory processing, we detected no regional or whole-brain volume changes. Our results show that early BPA exposure can induce sensory processing deficits, as revealed by alterations in simple behaviors that are mediated by a well-defined neural circuit.