Evidence map›Paper›PMID 30183538›Full record

ArticleJournal of ethnicity in substance abuse

Recovery homes: A social network analysis of Oxford Houses for Native Americans.

Leonard A Jason, Ed Stevens, Jessica Kassanits, Angela Reilly, Ted Bobak, Mayra Guerrero, Nathan J Doogan

Abstract read
In one paragraph

Article in Journal of ethnicity in substance abuse. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Recovery home networks as social capital.Journal of community psychology · 2020
    Article
  4. Article
  5. 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

7 authors.

Leonard A JasonDePaul University, Chicago, Illinois, USA.ORCID 0000-0002-9972-4425
Ed StevensDePaul University, Chicago, Illinois, USA.
Jessica KassanitsDePaul University, Chicago, Illinois, USA.
Angela ReillyDePaul University, Chicago, Illinois, USA.
Ted BobakDePaul University, Chicago, Illinois, USA.
Mayra GuerreroDePaul University, Chicago, Illinois, USA.
Nathan J DooganOhio State University, Columbus, Ohio, USA.

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

Social network data were collected among residents of an Oxford House (OH) recovery home, which was located on Suquamish Tribal territory. Data were collected on the social connections of eight male residents (including four Native Americans and four non-Native Americans) using a social network instrument. A number of social network relationship types were examined, including friendship, trust, and mentorship. Social network data assessed included diameter, reciprocity, the average path length, cohesion, density, transitivity, and centrality. Findings indicated that the OH provided residents a well-integrated network with multiple sources of friendship, trust, and mentors. This is of importance as recovery from substance abuse is facilitated when recovering individuals are provided stable and well-functioning networks that foster social support, access to resources, and mentorship.

Indexed as

Residential TreatmentSocial InteractionSocial Network AnalysisSubstance Abuse Treatment CentersAdultAmerican Indian or Alaska NativeFriendsHumansMaleMentorsMiddle AgedPsychometricsWashingtonYoung AdultNative AmericansOxford HouseRecovery homes

Identifiers

PMID30183538
PMCPMC6401329

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.