Evidence map›Paper›PMID 29974319›Full record

ArticleJournal of youth and adolescence2018

Who Benefits from Community Mental Health Care? Using Latent Profile Analysis to Identify Differential Treatment Outcomes for Youth.

F Tony Bonadio, Carolyn Tompsett

Abstract read
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In one paragraph

Article in Journal of youth and adolescence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

2 authors.

F Tony BonadioDepartment of Psychology, Harvard University, 33 Kirkland Street, Cambridge, MA, 02138, USA. bonadio@fas.harvard.edu.
Carolyn TompsettDepartment of Psychology, Bowling Green State University, Bowling Green, Cleveland, OH, 43403, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment effectiveness has been shown to vary across subgroups of youth based on characteristics such as comorbidity, problem severity, gender, and age. The current study aims to explore if subgroups of youth, identified by applying latent profile analysis to parent-reported symptoms, age, and gender, are better served by specific usual care services. Archival data from a community mental health center were utilized, including parent-reports of symptoms for 953 youth (44.4% female; ages 4-18) across multiple time-points, and services received. Latent profile analysis identified five subgroups including Low Risk, High Risk, Internalizing, Externalizing, and Delinquent/Depressed. The relationship between the intensity level of services and symptoms varied across subgroups. Specifically, high intensity services were related to a greater reduction in symptoms for the Internalizing, Externalizing, and High Risk subgroups. Implications for future developmental research and clinical applications are discussed.

Indexed as

AdolescentChildChild, PreschoolCommunity Health ServicesFemaleHumansMaleMental DisordersMental HealthMental Health ServicesParentsSeverity of Illness IndexTreatment OutcomeLatent profile analysisTreatmentUsual care

Identifiers

PMID29974319

What OpenQuestion holds

Textmetadata
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.