Evidence map›Paper›PMID 34720462›Full record

ArticleDrugs (Abingdon, England)2021

Personal and Environmental Social Capital Predictors of Relapse Following Departure from Recovery Homes.

Leonard A Jason, Mayra Guerrero, Meghan Salomon-Amend, John M Light, Mike Stoolmiller

Open access · greenAbstract read
In one paragraph

Article in Drugs (Abingdon, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Effects of strength of relationship ties in recovery homes: A conundrum.The International journal on drug policy · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Leonard A JasonDePaul University.
Mayra GuerreroDePaul University.
Meghan Salomon-AmendDePaul University.
John M LightOregon Research Institute.
Mike StoolmillerOregon Research Institute.
DePaul University · USOregon Research Institute · US

Funding

Emergent Social Environments As Predictors of Recovery Resident OutcomesR01AA022763 · NIAAA · DE PAUL UNIVERSITY · PI JASON, LEONARD A · 2015 to 2019
$3.1M
NIAAA NIH HHS R01 AA022763
6 · The paper itself

Abstract

Substance use recovery homes represent the largest residential, community-based post-treatment option for those with substance use disorders in the United States. It is still unclear what unique factors predict relapse after residents leave such homes. This study presents results of a longitudinal study of 497 residents who departed from 42 Oxford House recovery houses. We hypothesized that the predictors of post-departure relapse would be a multi-item measure of latent recovery, length of stay, and reason for departure from the home (voluntary vs. involuntary). Predictor effects were estimated as part of a two-step model with two outcomes: (a) lack of follow-up data after departure from the house, and (b) the likelihood of relapse. Determinants of missing follow-up data included less education, less time in residence, and involuntary departure. Relapse was more likely for individuals who were younger, had involuntarily left the house, and had lower values on the latent recovery factor. The implications of these important factors related to relapse following departure from residential recovery home settings are discussed.

Indexed as

Oxford HousesRecovery HomesRecovery Latent FactorRelapse PredictorsSocial Capital

Identifiers

PMID34720462
PMCPMC8549579
OpenAlexW3135669291

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.