A Nationwide Survey Study of Recovery Community Centers Supporting People in Recovery From Substance Use Disorder.

OBJECTIVE: The medical community has become aware of its role in contributing to the opioid epidemic and must be part of its resolution. Recovery community centers (RCCs) represent a new underused component of recovery support. METHODS: This study performed an online national survey of all RCCs identified in the United States, and used US Census ZIP code tabulation area data to describe the communities they serve. RESULTS: Residents of areas with RCCs were more likely to be Black (16.5% vs 12.6% nationally, P = 0.005) and less likely to be Asian (4.7% vs 5.7%, P = 0.005), American Indian, or Alaskan Native (0.6% vs 0.8%, P = 0.03), or live rurally (8.5% vs 14.0%, P < 0.0001). More than half of RCCs began operations within the past 5 years. Recovery community centers were operated, on average, by 8.8 paid and 10.2 volunteer staff; each RCC served a median of 125 individuals per month (4-1,500). Recovery community centers successfully engaged racial/ethnic minority groups (20.8% Hispanic, 22.5% Black) and young adults (23.5% younger than 25 years). Recovery community centers provide addiction-specific support (eg, mutual help, recovery coaching) and assistance with basic needs, social services, technology access, and health behaviors. Regarding medications for opioid use disorder (MOUDs), RCC staff engaged members in conversations about MOUDs (85.2%) and provided direct support for taking MOUD (77.0%). One third (36.1%) of RCCs reported seeking closer collaboration with prescribers. CONCLUSIONS: Recovery community centers are welcoming environments for people who take MOUDs. Closer collaboration between the medical community and community-based peer-led RCCs may lead to significantly improved reach of efforts to end the opioid epidemic.

Parenting to provide social recovery capital: A qualitative study.

Background: Although research demonstrates the necessity of social recovery capital (SRC) for youth in recovery, through having family that do not use substances and who support their recovery, the ways in which parents actually enact SRC have not been empirically examined. This qualitative study applied the Recovery Capital Model for Adolescents to group interview data from parent(s) of youth who resolved a substance use disorder (SUD) to explore the ways parents enacted SRC. Method: The interviews were conducted in a prior ethnographic study in which parents of alternative peer group (APG) alumni volunteered to participate in a group interview; five mothers and five fathers of APG alumni participated in the interviews (n=10). Three investigators analyzed the interview transcripts using the constant comparative method to identify family SRC and the specific components parents supported their child's recovery. Results: The primary themes of parent support of SRC included locus of control, parent growth, and sober/supportive home. Locus of control included parent strategies to leverage youth's participation in treatment/recovery. Parent growth focused on the process of change parents described: from denial to developing insight and learning how to parent a child in addiction. Supportive and structured family included time spent with youth in recovery-related activities and improved communication and relationships. Conclusions: Together, these themes suggest a process of parent change that supports an adolescent's recovery trajectory and increases parenting skills and coping. These themes also highlight how the APG structure enabled this process, generating potential hypotheses for future recovery-oriented research to address.

Feature-Level Analysis of a Smoking Cessation Smartphone App Based on a Positive Psychology Approach: Prospective Observational Study.

BACKGROUND: Smoking cessation smartphone apps have emerged as highly accessible tools to support smoking cessation efforts. It is unknown how specific app features contribute to user engagement over time and relate to smoking outcomes. OBJECTIVE: To provide a feature-level analysis of the Smiling Instead of Smoking app (version 2) and to link feature use to subsequent smoking cessation. METHODS: Nondaily smokers (N=100) used the app for a period of 49 days (1 week before quitting and 6 weeks after quitting). Participants self-reported 30-day point-prevalence abstinence at the end of this period and at a 6-month follow up (the survey response rate was 94% and 89% at these points, respectively). Self-reported 30-day point prevalence abstinence rates were 40% at the end of treatment and 56% at the 6-month follow up. The app engaged users in both positive psychology content and traditional behavioral smoking cessation content. The app sent push notifications to prompt participants to complete prescribed content (ie, a "happiness exercise" every day and a "behavioral challenge" to use the app's smoking cessation tools on 15 out of 49 days). Actions that participants took within the app were timestamped and recorded. RESULTS: Participants used the app on 24.7 (SD 13.8) days out of the 49 prescribed days, interacting with the happiness content on more days than the smoking content (23.8, SD 13.8 days vs 17.8, SD 10.3 days; t99=9.28 [2-tailed]; P<.001). The prescribed content was frequently completed (45% of happiness exercises; 57% of behavioral challenges) and ad libitum tools were used on ≤7 days. Most participants used each ad libitum smoking cessation tool at least once, with higher use of personalized content (≥92% used "strategies," "cigarette log," "smoke alarms," and "personal reasons") than purely didactic content (79% viewed "benefits of quitting smoking"). The number of days participants used the app significantly predicted 30-day point-prevalence abstinence at the end of treatment (odds ratio [OR] 1.05, 95% CI 1.02-1.09; P=.002) and at the 6-month follow up (OR 1.04, 95% CI 1.008-1.07; P=.01). The number of days participants engaged with the happiness content significantly predicted smoking abstinence at the end of treatment (OR 1.05, 95% CI 1.02-1.08; P=.002) and at the 6-month follow up (OR 1.04, 95% CI 1.007-1.07; P=.02). This effect was not significant for the number of days participants engaged with the smoking cessation content of the app, either at the end of treatment (OR 1.04, 95% CI 0.996-1.08, P=.08) or at the 6-month follow up (OR 1.02, 95% CI 0.98-1.06; P=.29). CONCLUSIONS: Greater app usage predicted greater odds of self-reported 30-day point-prevalence abstinence at both the end of treatment and over the long term, suggesting that the app had a therapeutic benefit. Positive psychology content and prescriptive clarity may promote sustained app engagement over time. TRIAL REGISTRATION: ClinicalTrials.gov NCT03951766; https://clinicaltrials.gov/ct2/show/NCT03951766.