Evidence map›Paper›PMID 39213033›Full record

Trial reportJournal of medical Internet research2024

Effectiveness of a Smartphone-Based Stress Management Program for Depression in Hospital Nurses During COVID-19 in Vietnam and Thailand: 2-Arm Parallel-Group Randomized Controlled Trial.

Kazuhiro Watanabe, Thuy Thi Thu Tran, Narisara Sripo, Asuka Sakuraya, Kotaro Imamura, Plernpit Boonyamalik, Natsu Sasaki, Thanate Tienthong, Hiroki Asaoka, Mako Iida and 15 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

25 authors.

Kazuhiro WatanabeDepartment of Public Health, Kitasato University School of Medicine, Sagamihara, Japan.ORCID 0000-0002-3342-6142
Thuy Thi Thu TranFaculty of Environmental and Occupational Health, Hanoi University of Public Health, Hanoi, Vietnam.ORCID 0000-0002-2758-7695
Narisara SripoPrincess Agrarajakumari College of Nursing, Chulabhorn Royal Academy, Bangkok, Thailand.ORCID 0009-0001-7890-8487
Asuka SakurayaDepartment of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-1561-019X
Kotaro ImamuraDepartment of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-2584-0666
Plernpit BoonyamalikFaculty of Public Health, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-5334-6246
Natsu SasakiDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-6097-5948
Thanate TienthongPrincess Agrarajakumari College of Nursing, Chulabhorn Royal Academy, Bangkok, Thailand.ORCID 0009-0001-8051-4719
Hiroki AsaokaDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-6731-482X
Mako IidaDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-6639-7985
Quynh Thuy NguyenFaculty of Environmental and Occupational Health, Hanoi University of Public Health, Hanoi, Vietnam.ORCID 0000-0002-6457-3268
Nga Thi NguyenFaculty of Social Science and Behavior, Hanoi University of Public Health, Hanoi, Vietnam.ORCID 0000-0002-0741-0171
Son Thai VuFaculty of Environmental and Occupational Health, Hanoi University of Public Health, Hanoi, Vietnam.ORCID 0009-0008-7703-7940
Thuy Thi NgoPho Noi Hospital, Hung Yen Province, Vietnam.ORCID 0009-0003-4964-5862
Tham Thi LuyenPho Noi Hospital, Hung Yen Province, Vietnam.ORCID 0009-0002-4554-4127
Long Duc NguyenXanh Pon Hospital, Ha Noi, Vietnam.ORCID 0009-0001-8687-7895
Nga Thi Viet NguyenXanh Pon Hospital, Ha Noi, Vietnam.ORCID 0009-0002-4601-8970
Binh Thanh NguyenXanh Pon Hospital, Ha Noi, Vietnam.ORCID 0009-0006-5928-9429
Yutaka MatsuyamaDepartment of Biostatistics, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-2009-6831
Yukie TakemuraNursing Department, University of Tokyo Hospital, Tokyo, Japan.ORCID 0000-0003-2861-8673
Daisuke NishiDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-9349-3294
Akizumi TsutsumiDepartment of Public Health, Kitasato University School of Medicine, Sagamihara, Japan.ORCID 0000-0003-0966-4869
Huong Thanh NguyenFaculty of Social Science and Behavior, Hanoi University of Public Health, Hanoi, Vietnam.ORCID 0000-0002-9493-9590
Orawan KaewboonchooFaculty of Public Health, Mahidol University, Bangkok, Thailand.ORCID 0000-0001-7037-791X
Norito KawakamiDepartment of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-1080-2720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, health care professionals experienced high levels of depression. However, extant research has not highlighted effective internet-based psychological interventions to improve the mental health in this population during the pandemic. It remains unclear whether self-guided, internet-based cognitive behavioral therapy (iCBT) programs are effective in improving the mental health of health care workers during the COVID-19 pandemic.

objectiveThe aim of this study was to evaluate the effectiveness of a smartphone-based iCBT stress management program for reducing the depression experienced by nurses in Vietnam and Thailand.

methodsFrom March to April 2022, a 2-arm, parallel-group randomized controlled trial was implemented. One arm offered a 7-week self-guided iCBT program, and the other offered treatment as usual as a control arm. Full-time nurses were recruited from 6 hospitals: 2 hospitals in Vietnam and 4 hospitals in Thailand. The primary outcome of this program was the severity of depression measured by the Depression Anxiety Stress Scale-21 items. Follow-up surveys were conducted to measure the change in depression severity at 3 months (July-August 2022) and at 6 months (October-November 2022) after baseline. Mixed modeling for repeated measures was used to test the effects of the intervention compared with the control for the follow-up.

resultsA total of 1203 nurses were included in this study: 602 in the intervention group and 601 in the control group. The follow-up rate at 3 and 6 months ranged from 85.7% (515/601) to 87.5% (527/602). The completion rate for the program was 68.1% (410/602). The group difference in depression was significant at the 3-month follow-up (coefficient=-0.92, 95% CI -1.66 to -0.18; P=.02) and nonsignificant at the 6-month follow-up (coefficient=-0.33, 95% CI -1.11 to 0.45; P=.41). The estimated effect sizes were -0.15 and -0.06 at the 3- and 6-month follow-ups, respectively.

conclusionsOur study shows that the smartphone-based iCBT program was effective in reducing depression at the 3-month follow-up among hospital nurses in Vietnam and Thailand during the COVID-19 pandemic. However, the effect size was small, and therefore, these results may not be clinically meaningful.

trial registrationUMIN Clinical Trials Registry UMIN000044145; https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000050128. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.20944/preprints202303.0450.v1.

Indexed as

Cognitive Behavioral TherapyCOVID-19DepressionSmartphoneAdultFemaleHumansMaleMiddle AgedNursing Staff, HospitalPandemicsSARS-CoV-2Stress, PsychologicalThailandVietnamCOVID-19depressiondigital mental health interventionhealth care workersmobile phonenursesunguided programuniversal prevention

Identifiers

PMID39213033
PMCPMC11399744

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.