Evidence map›Paper›PMID 31443697›Full record

ArticleBMC psychiatry2019

Characterizing the heterogeneity of clinician practice use in community mental health using latent profile analysis.

Emily M Becker-Haimes, Viktor Lushin, Torrey A Creed, Rinad S Beidas

Abstract read
In one paragraph

Article in BMC psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  7. Therapist training in evidence-based interventions for mental health: A systematic review of training approaches and outcomes.Clinical psychology : a publication of the Division of Clinical Psychology of the American Psychological Association · 2020
    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

4 authors.

Emily M Becker-HaimesDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, 3rd floor, Philadelphia, PA, 19104, USA. embecker@upenn.edu.
Viktor LushinDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, 3rd floor, Philadelphia, PA, 19104, USA.
Torrey A CreedDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, 3rd floor, Philadelphia, PA, 19104, USA.
Rinad S BeidasDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, 3rd floor, Philadelphia, PA, 19104, USA. rbeidas@upenn.edu.

Funding

The academic-community experience (ACE): A postdoctoral training fellowship in implementation science to promote mental healthT32MH109433 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI David S Mandell · 2017 to 2026
$2.4M
Policy to Implementation: Evidence-Based Practice in Community Mental HealthK23MH099179 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BEIDAS, RINAD SARY · 2012 to 2016
$887k
NIMH NIH HHS K23 MH099179NIMH NIH HHS T32 MH109433
6 · The paper itself

Abstract

backgroundThe behavioral health service provider population is highly heterogeneous. However, it is rarely treated as such within evidence-based practice implementation efforts. This study aimed to evaluate, as a proof of concept, the utility of latent profile analysis to identify distinct profiles of clinician practices in a large sample of youth-serving community mental health clinicians. This study also aimed to identify predictors of profile membership to inform implementation efforts.

methodsParticipants were 484 practicing clinicians (79.4% female, 45.7% White, M age = 37.1 years). As part of a larger survey, clinicians reported on their use of cognitive, behavioral, family, and psychodynamic treatment techniques with a representative client on their caseload. Latent profile analysis was used to determine the presence of clinician practice profiles. Multilevel multinomial logistic regressions examined predictors of profile membership.

resultsLatent profile analysis indicated a 4-profile solution best fit the data, with clinicians who: 1) used generally low levels of all examined techniques and preferred cognitive techniques (Low Eclectics, 16%), 2) delivered moderate levels of all techniques (Moderate Eclectics, 53%), 3) demonstrated preference for use of family techniques (Family Preferred, 11%), and 4) used high levels of all techniques (Super Users, 20%). Clinician discipline (e.g., social work), education, and years of experience predicted profile membership.

conclusionsFindings from this proof of concept study underscore the utility of latent profile analysis to characterize the complex and heterogeneous makeup of community mental health. Results extend prior work highlighting the eclectic nature of community mental health practice. Predictor analyses underscore the important influence of clinician background characteristics on practice use.

Indexed as

Latent Class AnalysisMental HealthAdolescentAdultCommunity Mental Health ServicesEvidence-Based PracticeFemaleHumansMaleMiddle AgedNeurodevelopmental DisordersPhiladelphiaImplementation scienceLatent profile analysisUsual careYouth mental health

Identifiers

PMID31443697
PMCPMC6708227

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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.