Evidence map›Paper›PMID 36497867›Full record

ArticleInternational journal of environmental research and public health2022

Usefulness of Implementation Outcome Scales for Digital Mental Health (iOSDMH): Experiences from Six Randomized Controlled Trials.

Erika Obikane, Natsu Sasaki, Kotaro Imamura, Kyosuke Nozawa, Rajesh Vedanthan, Pim Cuijpers, Taichi Shimazu, Masamitsu Kamada, Norito Kawakami, Daisuke Nishi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
–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

7 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

10 authors.

Erika ObikaneDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0002-8251-8094
Natsu SasakiDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0002-6097-5948
Kotaro ImamuraDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0003-2584-0666
Kyosuke NozawaDepartment of Psychiatric Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.
Rajesh VedanthanDepartment of Population Health, Grossman School of Medicine, New York University, New York, NY 10016, USA.
Pim CuijpersDepartment of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, 1081 Amsterdam, The Netherlands.ORCID 0000-0001-5497-2743
Taichi ShimazuDivision of Behavioral Sciences, Institute for Cancer Control, National Cancer Center, Tokyo 04-0045, Japan.ORCID 0000-0001-6000-9830
Masamitsu KamadaDepartment of Health Education and Health Sociology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0003-1703-076X
Norito KawakamiDepartment of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan.ORCID 0000-0003-1080-2720
Daisuke NishiDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0001-9349-3294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMeasuring implementation outcomes for digital mental health interventions is essential for examining the effective delivery of these interventions. The "Implementation Outcome Scale of Digital Mental Health" (iOSDMH) has been validated and used in several trials. This study aimed to compare the iOSDMH for participants in six randomized controlled trials (RCTs) involving web-based interventions and to discuss the implications of the iOSDMH for improving the interventions. Additionally, this study examined the associations between iOSDMH scores and program completion rate (adherence).

methodsVariations in total scores and subscales of the iOSDMH were compared in six RCTs of digital mental health interventions conducted in Japan. The web-based intervention programs were based on cognitive behavioral therapy (2 programs), behavioral activation (1 program), acceptance and commitment (1 program), a combination of mindfulness, behavioral activation, and physical activity (1 program), and government guidelines for suicide prevention (1 program). Participants were full-time employees (2 programs), perinatal women (2 programs), working mothers with children (1 program), and students (1 program). The total score and subscale scores were tested using analysis of variance for between-group differences.

resultsTotal score and subscale scores of the iOSDMH among six trials showed a significant group difference, reflecting users' perceptions of how each program was implemented, including aspects such as acceptability, appropriateness, feasibility, overall satisfaction, and harm. Subscale scores showed positive associations with completion rate, especially in terms of acceptability and satisfaction (R-squared = 0.93 and 0.89, respectively).

conclusionsThe iOSDMH may be a useful tool for evaluating participants' perceptions of features implemented in web-based interventions, which could contribute to improvements and further development of the intervention.

Indexed as

Cognitive Behavioral TherapyMental HealthChildExerciseFemaleHumansJapanRandomized Controlled Trials as Topicacceptabilityappropriatenessfeasibilityimplementation outcomessatisfaction

Identifiers

PMID36497867
PMCPMC9737881

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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.