Evidence map›Paper›PMID 32921897›Full record

ArticleSocial networks2021

Network Integration within a Prison-Based Therapeutic Community.

David R Schaefer, Kimberly M Davidson, Dana L Haynie, Martin Bouchard

Abstract read
In one paragraph

Article in Social networks, 2021. 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
–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

6 citing papers in PubMed.

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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

4 authors.

David R SchaeferUniversity of California, Irvine.
Kimberly M DavidsonPennsylvania State University.
Dana L HaynieOhio State University.
Martin BouchardSimon Fraser University.

Funding

Network Mechanisms in a Prison-Based Therapeutic CommunityR21AA023210 · NIAAA · PENNSYLVANIA STATE UNIVERSITY, THE · PI KREAGER, DEREK ALLEN · 2015 to 2016
$444k
NIAAA NIH HHS R21 AA023210
6 · The paper itself

Abstract

Prison-based therapeutic communities (TCs) are a widespread, effective way to help incarcerated individuals address substance abuse problems. The TC philosophy is grounded in an explicitly relational paradigm that entails building community and conditioning residents to increasingly take responsibility for leadership therein. Although TCs are based on cultivating a network that continuously integrates new residents, many common structural features can jeopardize TC goals and are hence discouraged (e.g., clustering, homophily). In light of this tension, analyzing the TC from a network perspective can offer new insights to its functioning, as well as to broader questions surrounding how networks integrate new members. In this study we examine a men's TC unit in a Pennsylvania prison over a 10-month span. Using data on residents' informal networks, we examine: (1) how well individuals integrate into the TC network across time, (2) what predicts how well residents integrate into the TC, and (3) how well the TC network structure adheres to theoretical ideals. Results suggest that individual integration is driven by a range of hypothesized factors and, with limited exceptions, the observed TC is able to foster a network structure and integrate residents consistent with TC principles. We discuss the implications of these results for evaluating TCs and for understanding the process of network integration.

Indexed as

Network autocorrelation modelnetwork integrationprisonsubstance abusetherapeutic community

Identifiers

PMID32921897
PMCPMC7485928

What OpenQuestion holds

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Registered trials

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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.