Evidence map›Paper›PMID 35877164›Full record

Trial reportJournal of medical Internet research2022

Providing Brief Personalized Therapies for Insomnia Among Workers Using a Sleep Prompt App: Randomized Controlled Trial.

Tomonari Shimamoto, Ryuji Furihata, Yukako Nakagami, Yukiko Tateyama, Daisuke Kobayashi, Kosuke Kiyohara, Taku Iwami

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
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

7 authors.

Tomonari ShimamotoDepartment of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0001-7661-6299
Ryuji FurihataAgency for Health, Safety and Environment, Kyoto University, Kyoto, Japan.ORCID 0000-0002-0809-2697
Yukako NakagamiAgency for Health, Safety and Environment, Kyoto University, Kyoto, Japan.ORCID 0000-0001-7495-8957
Yukiko TateyamaDepartment of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-4649-8428
Daisuke KobayashiAgency for Health, Safety and Environment, Kyoto University, Kyoto, Japan.ORCID 0000-0001-6194-9453
Kosuke KiyoharaDepartment of Food Science, Faculty of Home Economics, Otsuma Women's University, Tokyo, Japan.ORCID 0000-0003-0644-6129
Taku IwamiDepartment of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-4150-7065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsomnia is the most common sleep disorder and the foremost health concern among workers. We developed a new sleep prompt app (SPA) for smartphones to positively alter the users' consciousness and behavior by sending timely short messages for mild sleep problems at an early stage.

objectiveThe aim of this study is to investigate the effectiveness of the SPA in providing brief personalized therapy for insomnia among workers.

methodsWe conducted a 2-arm parallel randomized controlled trial. The intervention group used the SPA, and the control group received no intervention. Participants were recruited between November 2020 and January 2021. The researcher sent emails for recruitment to more than 3000 workers of 2 companies and 1 university in Japan. The SPA provided personalized prompt messages, sleep diaries, sleep hygiene education, stimulus control therapy, and sleep restriction therapy. The prompt messages were sent automatically to the participants to encourage them to improve their sleep habits and sleep status and were optimized to the individual's daily rhythm. The intervention program duration was 4 weeks. The primary outcome was a change in the Insomnia Severity Index (ISI) for the study period. The ISI was obtained weekly using a web questionnaire.

resultsA total of 116 Japanese workers (intervention group n=60, control group n=56) with sleep disorders were recruited. Two participants in the intervention group were excluded from the analyses because of challenges in installing the SPA. The mean ISI scores at baseline were 9.2 for both groups; however, after 4 weeks, the mean ISI scores declined to 6.8 and 8.0 for the intervention and control groups, respectively. Primary analysis using a linear mixed model showed a significant improvement in the temporal trends of the ISI in the SPA group and in the total population (P=.03). Subgroup analyses of ISI-8-insomniacs revealed a significant improvement in the temporal trends of ISI in the SPA group (P=.01), and the CFS score for physical condition significantly improved following the intervention (P=.02).

conclusionsThis study demonstrates the effectiveness of the SPA in providing brief personalized therapy for insomnia among Japanese workers with mild insomnia. The physical fatigue score significantly improved in ISI-8-insomniacs. Thus, SPA could play an important role in reducing the adverse effects of sleep disorders in workers. To promote the wide use of the SPA in the future, further studies are required to examine its effectiveness in other age groups and individuals with health problems.

trial registrationUniversity Medical Information Network Clinical Trials Registry (UMIN-CTR) UMIN000042263; https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000046295.

Indexed as

Cognitive Behavioral TherapyMobile ApplicationsSleep Initiation and Maintenance DisordersBehavior TherapyHumansSleepTreatment Outcomebrief personalized therapies for insomniaJapanrandomized controlled trialsleep prompt appsmartphoneworker

Identifiers

PMID35877164
PMCPMC9361141

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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.