Trial reportBMC psychiatry2023
Client predictors of therapy dropout in a primary care setting: a prospective cohort study.
Trial report in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed.
- Predictors of dropout in cognitive behavior and interpersonal online brief psychotherapies for essential professionals during the COVID-19 pandemic.Scientific reports · 2024Trial
- Predicting Dropout in Psychotherapy for Major Depressive Disorder: A Machine Learning Approach to Identifying At-Risk Patients.Clinical psychology & psychotherapyTrial
- Identifying Patients at Risk for Psychotherapy Dropout in Community Settings.JAMA network open · 2026Article
- "Now they just say it will get better on its own.": a qualitative exploration of discontinuation of facility-based tele-mental health services in Bangladesh.BMC health services research · 2026Article
- Outcomes of Depression and Anxiety in a Virtual Collaborative Care Program: A Quality Improvement Study.Global journal on quality and safety in healthcare · 2026Article
- Psychometric of the Ferrer-Urbina multidimensional scale of sexual self concept (MSSSC) in the Iranian population.BMC psychology · 2025Article
- Work-focused therapy in an internet-based CBT format - A mixed methods feasibility study.Internet interventions · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTherapy dropout poses a major challenge. Considerable research has been conducted on predictors of dropout, however none in the context of primary mental health services in Norway. The purpose of this study was to investigate which client characteristics can predict dropout from the service Prompt Mental Health Care (PMHC).
methodsWe performed a secondary analysis of a Randomized Controlled Trial (RCT). Our sample consisted of 526 adult participants receiving PMHC-treatment in the municipalities of Sandnes and Kristiansand, between November 2015 to August 2017. Using logistic regression, we investigated the association between nine client characteristics and dropout.
resultsThe dropout rate was 25.3%. The adjusted analysis indicated that older clients had a lower odds ratio (OR) of dropping out compared to younger clients (OR = 0.43, [95% CI = 0.26, 0.71]). Moreover, clients with higher education had a lower odds ratio of dropping out compared to clients with lower levels of education (OR = 00.55, 95% CI [0.34, 0.88]), while clients who were unemployed were more likely to drop-out as compared the regularly employed (OR = 2.30, [95% CI = 1.18, 4.48]). Finally, clients experiencing poor social support had a higher odds ratio of dropping out compared to clients who reported good social support (OR = 1.81, [95% CI = 1.14, 2.87]). Sex, immigrant background, daily functioning, symptom severity and duration of problems did not predict dropout.
conclusionThe predictors found in this prospective study might help PMHC-therapists identify clients at risk of dropout. Strategies for preventing dropout are discussed.
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