Evidence map›Paper›PMID 36828653›Full record

ArticleBMJ open2023

Four 2×2 factorial trials of smartphone CBT to reduce subthreshold depression and to prevent new depressive episodes among adults in the community-RESiLIENT trial (Resilience Enhancement with Smartphone in LIving ENvironmenTs): a master protocol.

Toshi A Furukawa, Aran Tajika, Masatsugu Sakata, Yan Luo, Rie Toyomoto, Masaru Horikoshi, Tatsuo Akechi, Norito Kawakami, Takeo Nakayama, Naoki Kondo and 6 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

16 authors at 9 institutions in 5 countries.

Toshi A FurukawaDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan furukawa@kuhp.kyoto-u.ac.jp.ORCID 0000-0003-2159-3776
Aran TajikaDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Masatsugu SakataDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Yan LuoDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Rie ToyomotoDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Masaru HorikoshiNational Center of Neurology and Psychiatry, Tokyo, Japan.
Tatsuo AkechiDepartment of Psychiatry and Cognitive-Behavioral Medicine, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.
Norito KawakamiDepartment of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-1080-2720
Takeo NakayamaHealth Informatics, Kyoto University School of Public Health, Kyoto, Japan.
Naoki KondoDepartment of Social Epidemiology, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.ORCID 0000-0002-6425-6844
Shingo FukumaHuman Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID 0000-0002-8379-8761
Hisashi NomaDepartment of Data Science, The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan.ORCID 0000-0002-2520-9949
Helen ChristensenBlack Dog Institute, Randwick, New South Wales, Australia.
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
Pim CuijpersDepartment of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-5497-2743
James M S WasonPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-4691-126X
Kyoto University · JPBlack Dog Institute · AUHarvard University · USNagoya City University · JPNational Center of Neurology and Psychiatry · JPNewcastle University · GBThe Institute of Statistical Mathematics · JPThe University of Tokyo · JPVrije Universiteit Amsterdam · NL

Funding

Medical Research Council MC_UU_00002/6
6 · The paper itself

Abstract

introductionThe health burden due to depression is ever increasing in the world. Prevention is a key to reducing this burden. Guided internet cognitive-behavioural therapies (iCBT) appear promising but there is room for improvement because we do not yet know which of various iCBT skills are more efficacious than others, and for whom. In addition, there has been no platform for iCBT that can accommodate ongoing evolution of internet technologies. METHODS AND ANALYSIS: Based on our decade-long experiences in developing smartphone CBT apps and examining them in randomised controlled trials, we have developed the Resilience Training App Version 2. This app now covers five CBT skills: cognitive restructuring, behavioural activation, problem-solving, assertion training and behaviour therapy for insomnia. The current study is designed as a master protocol including four 2×2 factorial trials using this app (1) to elucidate specific efficacies of each CBT skill, (2) to identify participants' characteristics that enable matching between skills and individuals, and (3) to allow future inclusion of new skills. We will recruit 3520 participants with subthreshold depression and ca 1700 participants without subthreshold depression, to examine the short-term efficacies of CBT skills to reduce depressive symptoms in the former and to explore the long-term efficacies in preventing depression in the total sample. The primary outcome for the short-term efficacies is the change in depressive symptoms as measured with the Patient Health Questionnaire-9 at week 6, and that for the long-term efficacies is the incidence of major depressive episodes as assessed by the computerised Composite International Diagnostic Interview by week 50. ETHICS AND DISSEMINATION: The trial has been approved by the Ethics Committee of Kyoto University Graduate School of Medicine (C1556). TRIAL REGISTRATION NUMBER: UMIN000047124.

Indexed as

Cognitive Behavioral TherapyMajor Depressive DisorderMobile ApplicationsAdultDepressionHumansRandomized Controlled Trials as TopicSmartphoneTreatment OutcomeAdult psychiatryDepression & mood disordersPUBLIC HEALTH

Identifiers

PMID36828653
PMCPMC9972419
OpenAlexW4321769496

What OpenQuestion holds

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LicenceCC BY-NC
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.