Evidence map›Paper›PMID 31289986›Full record

ArticleChild psychiatry and human development2020

Predicting Dropout from Children's Mental Health Services: Using a Need-Based Definition of Dropout.

Kimberly W Dossett, Graham J Reid

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In one paragraph

Article in Child psychiatry and human development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Kimberly W DossettDepartment of Psychology, Western University, London, Canada. kdossett@uwo.ca.ORCID http://orcid.org/0000-0001-8765-3642
Graham J ReidDepartment of Psychology, Western University, London, Canada.

Funding

Canadian Institute of Health Research 220153
6 · The paper itself

Abstract

Dropout from children's mental health services has negative impacts on children, families and service providers. To target interventions aimed to reduce dropout, it is essential to predict individuals who drop out. This study compares predictors of dropout using a novel need-based definition, to existing definitions of dropout. Children (N = 650; 61% male) aged 5-13 attended five children's mental health agencies in Ontario. A mixed effects logistic regression was used to model binary outcome variables (i.e., dropout or treatment completion), for each definition of dropout. Using the need-based definition, older child age, lower child problem presentation, higher child risk behaviors, higher caregiver needs, and more child strengths predicted an increased likelihood of dropout. The need-based definition results in different predictors of dropout than existing definitions in the literature. High caregiver needs was the only predictor of dropout across all definitions. Caregiver needs represent a prospective target when distributing interventions aimed to reduce dropout.

Indexed as

Child Health ServicesHealth Services Needs and DemandMental Health ServicesPatient DropoutsAdolescentCaregiversChildChild, PreschoolFemaleHumansMaleMental DisordersProspective StudiesAttritionChildren’s mental healthDropoutMental health servicesOntario

Identifiers

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.