Continued Successful SA Recovery during the Maintenance Stage: Intra-Individual Resource Loss & Gain Predict Relapse

Latent profile analysis in recovery homes: A single quantitative dimension captures most but not all of the important details of the recovery process

Background: Our study explored whether latent classes adequately represented the social capital recovery indicators at the resident level and whether latent class membership predicted subsequent exits from the recovery homes. Method: Our sample included about 600 residents in 42 recovery homes. Over a 2-year period of time, every 4 months, data were collected on eight elements of recovery capital. Results: We found 5 latent classes were optimal for representing 8 elements of recovery capital. Representing 79% of the sample, 3 of the 5 latent class profiles of the means of the 8 recovery indicators were roughly parallel and differed only in level, but the remaining 2 latent class profiles, representing 21% of the sample, were not parallel to the first 3, suggesting that a single quantitative dimension of perceived recovery may capture most but not all of the important details of the recovery process. Next, using longitudinal data from homes, the distal outcomes of resident eviction and voluntary exit were found to be related to latent class membership. Resident level pre-existing predictors (e.g., employment status, educational attainment, gender, Latinx ethnicity) and house level pre-existing predictors (e.g., financial health, poverty level of typical population served, new resident acceptance rate) significantly discriminated the classes. In a model that combined both pre-existing predictors and distal outcomes, latent class membership was still the strongest predictor of evictions controlling for the pre-existing predictors. Conclusions: These classes help to clarify the different aspects of the recovery latent score, and point to classes that have different ethnic and gender characteristics as well as outcomes in the recovery homes. For example, the high levels of self-confidence found in class 3 suggest that Latinx might be at higher risk for having some difficulties within these recovery communities.

Reducing health disparities among black individuals in the post-treatment environment

An important step in reducing health disparities among racial and ethnic minorities with substance use disorders involves identifying interventions that lead to successful recovery outcomes for this population. The current study evaluated outcomes of a community-based recovery support program for those with substance use disorders. Participants included 632 residents of recovery homes in three states in the US. A multi-item recovery factor was found to increase over time for these residents. However, rates of improvement among Black individuals were higher than for other racial/ethnic groups. Black Americans perhaps place a higher value on communal relationships relative to all other racial/ethnic groups, and by adopting such a communitarian perspective, they might be even more receptive to living in a house that values participation and involvement. The implications of these findings for health disparities research are discussed.

An Empirically-based Theory of the Relationships Among Social Embeddedness, Economic Viability, Learned Recovery Skills and Perceived Quality of Life in Recovery Homes

Key characteristics of recovery homes include governance style (which can play a central role in structuring recovery mechanisms), social embeddedness (e.g., social relationships within the home), economic viability (e.g., the individual's ability to be self-supporting), and learned recovery skills (such as coping with stress, avoiding putting one's self in risky situations, etc.). These domains can have important associations with perceived quality of life (measured across physical, psychological, social relationships, and environmental domains). The current study investigated relationships among these key "active ingredients" (Moos, 2007) of recovery homes. In addition, we present dynamic model consistent with these observed relationships, to illustrate how relevant mechanisms interact over time to and affect system evolution. Data were collected from recovery home residents in three states. Findings supported our overall hypotheses indicating that social embeddedness, stress, and self-efficacy were related to quality of life, and policy and treatment-design implications are further examined by simulating system dynamics.