Evidence map›Paper›PMID 36922928›Full record

ArticleInternational journal of clinical and health psychology : IJCHP

Symptoms of emotional disorders and sociodemographic factors as moderators of dropout in psychological treatment: A meta-review.

María Carpallo-González, Roger Muñoz-Navarro, César González-Blanch, Antonio Cano-Vindel

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Article in International journal of clinical and health psychology : IJCHP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

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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.

María Carpallo-GonzálezUniversitat de València, Valencia, Spain.
Roger Muñoz-NavarroUniversitat de València, Valencia, Spain.
César González-BlanchMental Health Centre, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain.
Antonio Cano-VindelUniversidad Complutense de Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Dropout from psychological treatment is an important problem that substantially limits treatment effectiveness. A better understanding of this phenomenon, could help to minimize it. Therefore, we performed a systematic review of meta-analyses (MA) on dropout from psychological treatments to (1) determine the estimated overall dropout rate (DR) and (2) to examine potential predictors of dropout, including clinical symptoms (anxiety and depression) and sociodemographic factors. Method: A literature search of the PubMed PsycINFO, Embase, Scopus and Google Scholar databases was conducted. We identified 196 MAs on dropout from psychological treatment carried out primarily in adult patients or mixed samples (adults and children) between 1990 and 2022. Of these, 12 met all inclusion criteria. Two forest plots were created to visualize the DR and the relationship between DR and the disorder. Results: The DR ranged from 15.9% to 46.8% and was significantly moderated by symptoms of emotional disorders. The highest DR were observed in younger, unmarried patients, and those with lower educational and income levels. Conclusions: DR in patients undergoing psychological treatment is highly heterogeneous, but higher in individuals presenting symptoms of anxiety and/or depression, especially the latter. Given that high DR undermine the effectiveness of psychological interventions, it is clear that greater efforts are needed to reduce dropout, particularly among individuals with symptoms of emotional disorders.

Indexed as

DropoutEmotional disordersModeratorsPsychological treatment

Identifiers

PMID36922928
PMCPMC10009192

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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.