Evidence map›Paper›PMID 34276450›Full record

ArticleFrontiers in psychiatry2021

Difference in Response to Feedback and Gender in Three Therapeutic Community Units.

Keith Warren, Nathan J Doogan, Fiona Doherty

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Keith WarrenOhio Colleges of Medicine Government Resource Center, The Ohio State University, Columbus, OH, United States.
Nathan J DooganGovernment Resource Center, College of Medicine, The Ohio State University, Columbus, OH, United States.
Fiona DohertyOhio Colleges of Medicine Government Resource Center, The Ohio State University, Columbus, OH, United States.

Funding

Development of a statistical framework for the analysis of social network predictors of therapeutic community outcomesR34DA043079 · NIDA · OHIO STATE UNIVERSITY · PI WARREN, KEITH LEVERETT · 2018 to 2020
$690k
NIDA NIH HHS R34 DA043079
6 · The paper itself

Abstract

Therapeutic communities (TCs) for substance abuse incorporate a system of peer feedback through written affirmations and corrections. Previous research has found that TC residents show a response to affirmations that is detectable for roughly 8 weeks, with response to corrections being of shorter duration and weaker overall. It is not clear whether and to what extent response to feedback in TCs varies between men and women. Previous research in other settings suggests that women should be more responsive to feedback than men. In order to test this hypothesis we draw on a large dataset of affirmations and corrections sent and received in three 80 bed TC units, two of which house men and one of which houses women. The analysis uses a multilevel negative binomial model, treating affirmations and corrections that TC residents receive as predictors of affirmations that they send over a 9 week period (week 0, the week during which affirmations and corrections are actually sent, and eight subsequent weeks). The model controls for gender, age, race, unit and scores on the Level of Service Inventory-Revised (LSI-R). The relationship between affirmations received and those sent is stronger for women during the initial week and on lags 1-2 and 5-8. The relationship between corrections received and affirmations sent is stronger for women on lags 2 and 8. Graphs suggest that response to affirmations falls off in an exponential curve, while that to corrections appears to include a periodic element. These results indicate that both men and women respond to feedback, but that the strength of the women's response is somewhat greater. These results suggest that any difference in suitability by gender to the feedback approach that characterizes TCs may favor women.

Indexed as

gendermutual aidsocial network analysissubstance abuse and addictionsubstance abuse treatmenttherapeutic community

Identifiers

PMID34276450
PMCPMC8278058

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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.