ArticleSocial work in public health2023
House Level Latent Classes as Predictors of Recovery and Evictions.
Article in Social work in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Sustaining substance use recovery housing for people taking medications for opioid use disorder: diverse funding, strategic partnerships, and charging rent.Frontiers in public health · 2025Article
- Predictors of Health in Substance Use Disorder Recovery: Economic Stability in Residential Aftercare Environments.Journal of social work practice in the addictions · 2024Article
- Individual and Contextual Protective and Risk Characteristics for Residents of Recovery Homes.Alcoholism treatment quarterly · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The current study explored whether substance abuse recovery houses could be categorized into meaningful classes, which might be associated with house evictions as well as changes in individual-level recovery capital. A total of 602 individuals from 42 recovery homes were followed for up to 6 data collection periods over 2 years. House level latent class analyses were based on house-level data. A 3-class model fit very well (entropy 0.94) and better than a 2-class model. Class profiles examined concurrent (averaged across waves 1 and 2) house and resident-level variables (e.g., gender, race, age, employment, education). Class was then used to prospectively predict outcomes of the hazard of eviction and improvement in a recovery index over waves 3-6. One latent class representing 45% of the recovery houses had the highest density of members willing to loan, able to pay their rent, active involvement in outside chapter activities-this group of houses had the best outcomes including the lowest eviction rate and highest mean recovery factor. The two other classes had higher eviction rates, with one having the lowest density of friendship, selectivity of residents, and ability to pay rent. The other of the higher eviction-rate classes surprisingly had the highest density of friendship and advice seeking, but the lowest density of willingness to loan. These findings suggest that there are meaningful differences in types of recovery homes, and that house characteristics appear to influence recovery changes and eviction outcomes.
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Registered trials
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