Evidence map›Paper›PMID 41781144›Full record

Trial reportBMJ mental health2026

Effects of smartphone cognitive behavioural therapy on social functioning in non-depressive and subthreshold depressive adults: a secondary analysis of the RESiLIENT trial.

Aran Tajika, Rie Toyomoto, Masatsugu Sakata, Yan Luo, Tatsuo Akechi, Masaru Horikoshi, Kosuke Inoue, Hisashi Noma, Pim Cuijpers, Toshi A Furukawa

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Aran TajikaDepartment of Health Promotion and Behavioral Sciences, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan aran.tajika28@gmail.com.ORCID http://orcid.org/0000-0003-3926-8867
Rie ToyomotoDepartment of Health Promotion and Behavioral Sciences, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Masatsugu SakataDepartment of Health Promotion and Behavioral Sciences, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Yan LuoDepartment of Next-Generation Organ Transplantation, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Tatsuo AkechiDepartment of Psychiatry and Cognitive-Behavioral Medicine, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Masaru HorikoshiMusashino University, Tokyo, Japan.
Kosuke InoueDepartment of Health Promotion and Behavioral Sciences, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Hisashi NomaDepartment of Interdisciplinary Statistical Mathematics, The Institute of Statistical Mathematics, Tokyo, Japan.ORCID http://orcid.org/0000-0002-2520-9949
Pim CuijpersDepartment of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-5497-2743
Toshi A FurukawaOffice of Institutional Advancement and Communications, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0003-2159-3776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a leading cause of global disability, and subthreshold cases contribute substantially to the burden. Cognitive behavioural therapy (CBT) is effective for depressive symptoms, but its impact on social functioning in subthreshold depression remains unclear.

objectiveThis study evaluated the effects of smartphone-based CBT on social functioning and personal health records among individuals with subthreshold depression and examined whether a personalised and optimised therapy (POT) algorithm enhanced these outcomes.

methodsWe performed a secondary analysis of the RESiLIENT trial (n=5361). Participants were stratified by baseline Patient Health Questionnaire-9 (PHQ-9) scores (0-4 and 5-14) and randomised to nine CBT app groups or a self-check group. Outcomes included social functioning and health records. A mixed-effects model for repeated measures was used to analyse the outcomes. The POT algorithm selected CBT skills tailored to individual characteristics.

findingsDepressive symptoms improved in both PHQ-9 groups compared with those of the self-check group, but gains in social functioning were modest, observed mainly in the PHQ-9 score ≤4 group. No consistent benefits were seen for health behaviours, job resignation, sick leave or healthcare costs. However, in a simulated randomised comparison using 10-fold cross-validated datasets, the POT algorithm had potentially beneficial effects for productivity (standardised mean difference (SMD)=0.16, 95% CI 0.03 to 0.29) and social adjustment (SMD=-0.13, 95% CI -0.26 to 0.00).

conclusionsSmartphone CBT effectively reduced depressive symptoms but showed limited impact on social functioning and healthcare costs. Personalised optimisation may modestly improve productivity and adjustment, suggesting its promise for enhancing social outcomes. CLINICAL IMPLICATIONS: Personalised tailoring of CBT skills may strengthen the effects of digital interventions on social functioning. TRIAL REGISTRATION NUMBER: UMIN000047124.

Indexed as

Cognitive Behavioral TherapyDepressionSmartphoneAdultAlgorithmsFemaleHumansMaleMiddle AgedMobile ApplicationsSecondary Data AnalysisTreatment OutcomeDepressive Disorder

Identifiers

PMID41781144
PMCPMC12970083

What OpenQuestion holds

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Registered trials

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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.