Evidence map›Paper›PMID 42372259›Full record

Observational studyJMIR human factors2026

Risk Factors for Noninitiation and Dropout in Blended Therapy in Inpatient Psychiatric Patients: Retrospective Cohort Study.

Nikita Gupta, Fabian Gardin, Thomas Berger, Wolfram Kawohl

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Nikita GuptaClienia AG, Oetwil am See, Switzerland.ORCID 0009-0008-2016-3401
Fabian GardinClienia AG, Oetwil am See, Switzerland.ORCID 0009-0006-5169-530X
Thomas BergerUniversity of Bern, Bern, Switzerland.ORCID 0000-0002-2432-7791
Wolfram KawohlClienia AG, Oetwil am See, Switzerland.ORCID 0000-0002-5224-4563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlended therapy (BT) combines digital applications with face-to-face treatment and has become an increasingly important component of psychiatric care. Evidence indicates that BT can achieve outcomes comparable to or even superior to those of traditional face-to-face therapy. Despite certain advantages, routine implementation of BT remains challenging, and clinical practice suggests that while some inpatients engage with BT, many either discontinue early or do not initiate its use at all. To better understand these patterns, this multicentric, retrospective observational study investigates factors associated with noninitiation and dropout among inpatients who are offered BT.

objectiveIn this study, data from 278 inpatients were analyzed to examine the influence of sociodemographic variables, comorbidities, and symptom severity on the uptake and continued use of BT. The objective was to identify predictors of noninitiation and dropout.

methodsMultivariable logistic regression models were conducted to identify significant predictors of noninitiation and dropout among inpatients using the transdiagnostic, cognitive behavioral therapy-based electronic mental health platform Minddistrict, which offers modules targeting psychoeducation, cognitive restructuring, and behavioral activation. Data were collected from 2 psychiatric hospitals between January 2020 and May 2024. The sample consisted predominantly of patients diagnosed with depression (182/278, 65.7%) and posttraumatic stress disorder (61/278, 21.9%), alongside various comorbid conditions.

resultsThe findings indicate distinct patterns of association for noninitiation and dropout. Of the 278 patients, only 5 (1.8%) completed all the assigned modules, and one-third of the patients never initiated the platform at all. Specifically, increasing age was linked to a lower risk of noninitiation (odds ratio [per year age difference] 0.98, 95% CI 0.96-1.00; P=.01), while the presence of a comorbid anxiety disorder was associated with a reduced risk of dropout (odds ratio 0.23, 95% CI 0.08-0.66; P=.007). Several variables showed no association with either noninitiation or dropout across all analyses, including sex, overall symptom severity, and certain comorbidities such as personality disorders and depression.

conclusionsIn this preselected inpatient sample, uptake of BT was very limited. Older age was associated with lower noninitiation, and comorbid anxiety disorders were associated with a lower likelihood of dropout. These findings may help inform future prospective studies on how BT can be introduced and supported more effectively in inpatient psychiatric care. As access to BT was granted selectively by therapists, the results should be interpreted as predictors of engagement within a selected sample rather than general predictors of BT uptake among all psychiatric inpatients.

Indexed as

Cognitive Behavioral TherapyInpatientsMental DisordersPatient DropoutsAdultFemaleHumansMaleMental Health TeletherapyMiddle AgedRetrospective StudiesRisk Factorsblended therapydropoutinpatientsnoninitiationpredictorspsychiatric

Identifiers

PMID42372259
PMCPMC13365893

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