Evidence map›Paper›PMID 32830326›Full record

ArticleJournal of clinical psychology2020

Attrition and attendance in group therapy for university students: An examination of predictors across time.

Tahira Gulamani, Amanda A Uliaszek, Carla D Chugani, Tayyab Rashid

Abstract read
In one paragraph

Article in Journal of clinical psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
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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.

Tahira GulamaniDepartment of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-4345-0779
Amanda A UliaszekDepartment of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-4500-0795
Carla D ChuganiDivision of Adolescent and Young Adult Medicine, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA.
Tayyab RashidThe Health and Wellness Centre, University of Toronto Scarborough, Toronto, Ontario, Canada.

Funding

Adolescent Research in Community Postdoctoral Training ProgramT32HD087162 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MILLER, ELIZABETH · 2016 to 2020
$1.2M
NICHD NIH HHS T32 HD087162
6 · The paper itself

Abstract

objectivesThere exists a dearth of research focused explicitly on predictors of attrition, particularly in the area of group therapy, where both attrition and attendance becomes of primary concern. The present study examined both pretreatment and treatment-specific variables in the prospective prediction of attendance and attrition in group therapy.

methodFifty-two participants were randomized to one of two 12-week group treatments. Participants completed baseline interviews and questionnaires, as well as weekly assessments of treatment-specific factors.

resultsNo pretreatment factors predicted attendance or drop out, although men attended a larger amount of sessions and were less likely to drop out. Cross-lagged panel analyses supported bidirectional, causal relationships both treatment-specific predictors (therapeutic alliance and number of therapeutic techniques) and attendance.

conclusionsSuccessful retention in group therapy may be less predictable from pretreatment factors and instead lie in increasing alliance and fostering the practice of therapeutic strategies.

Indexed as

AdolescentAdultCanadaFemaleHumansMalePatient ComplianceProspective StudiesPsychotherapy, GroupStudentsSurveys and QuestionnairesUniversitiesYoung Adultattendanceattritiongroup therapytherapeutic alliance

Identifiers

PMID32830326
PMCPMC7666048

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.