Evidence map›Paper›PMID 24521088›Full record

Trial reportThe American journal of drug and alcohol abuse2014

Factors affecting the stability of social networks during early recovery in ex-offenders.

Ariel Stone, Leonard A Jason, Ed Stevens, John M Light

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of drug and alcohol abuse, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Ariel StoneCenter for Community Research, DePaul University , Chicago, IL , USA and.
Leonard A Jason
Ed Stevens
John M Light
DePaul University · USOregon Research Institute · US

Funding

Evaluating Alternative Aftercare Models for Ex-OffendersR01DA019935 · NIDA · DE PAUL UNIVERSITY · PI JASON, LEONARD A · 2007 to 2011
$3.2M
ABSTINENT SOCIAL SUPPORT IN OXFORD HOUSER01DA013231 · NIDA · DE PAUL UNIVERSITY · PI JASON, LEONARD A · 2000 to 2005
$2.2M
NIDA NIH HHS DA13231NIDA NIH HHS DA19935NIDA NIH HHS R01 DA013231NIDA NIH HHS R01 DA019935
6 · The paper itself

Abstract

backgroundFew studies have considered the retention of the individuals (alters) comprising the social networks of people in recovery.

objectiveThe purpose of this study was to describe factors predicting whether alters were retained 6 months after participants completed treatment.

methodThe Important Person Inventory was given to 270 ex-offenders (224 men, 46 women) transitioning from treatment to Oxford House residences, Safe Haven therapeutic communities, or to usual aftercare. A 6-month follow-up was completed by 176 participants (137 men, 39 women).

resultsWe found that alters who were related to the participant, did not use drugs, were embedded in smaller networks, and had more frequent contact with the participant were significantly more likely to be retained as important people over 6 months. The alters' drinking and criminal history were not significantly predictive of retention in the network.

conclusionsCertain characteristics of important people are related to their retention in a social network. Understanding these relationships and the extent to which the network change that occurs is aligned with abstinence-supporting networks is essential for creating effective social interventions for persons in recovery.

Indexed as

Social SupportAdultCriminalsFemaleHumansMaleMiddle AgedResidential TreatmentSubstance Abuse Treatment CentersSubstance-Related Disorders

Identifiers

PMID24521088
PMCPMC4004648
OpenAlexW2078943873

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.