Unique ID issued by UMIN | UMIN000051630 |
---|---|
Receipt number | R000058916 |
Scientific Title | Attrition and adherence in digital health interventions for primary prevention on mental health outcomes among workers: systematic review and meta-analysis |
Date of disclosure of the study information | 2023/07/18 |
Last modified on | 2024/07/26 14:06:17 |
Attrition and adherence in digital health interventions for primary prevention on mental health outcomes among workers: systematic review and meta-analysis
Attrition and adherence in digital health interventions for primary prevention on mental health outcomes among workers: systematic review and meta-analysis
Attrition and adherence in digital health interventions for primary prevention on mental health outcomes among workers: systematic review and meta-analysis
Attrition and adherence in digital health interventions for primary prevention on mental health outcomes among workers: systematic review and meta-analysis
Japan |
Mental Health
Psychiatry | Adult |
Others
NO
To examine attrition and adherence rates in interventions using digital health technology as primary prevention of mental health outcomes among workers, by intervention content and participant characteristics.
Efficacy
attrition and adherence
Others,meta-analysis etc
18 | years-old | <= |
Not applicable |
Male and Female
- Studies including any type of employees/workers as "population"
- Studies applying any type of non-pharmacological interventions aiming at primary prevention using digital health technologies (eg., exercises, diet, lifestyle, psychological intervention such as cognitive behavioral therapy) as "intervention"
- Studies applying any type of control conditions as "comparison"
- Studies assessing effectiveness using specific outcomes including mental health conditions, positive mental health, and work-related outcomes as "outcomes"
- Studies addressed information on attrition and/or adherence
- Studies using randomized controlled trial design
- Studies published after 2010
- Studies targeting participants who have any specific disorder.
- Studies including participants who are not employees/workers.
- Studies applying any type of interventions aiming at secondary or tertiary prevention.
- Studies aiming to evaluate treatment effects of interventions on specific disorders or symptoms
1st name | Satoru |
Middle name | |
Last name | Kanamori |
Teikyo University
Graduate School of Public Health
173-8605
2-11-1, Kaga, Itabashi-ku, Tokyo, Japan
03-3964-1211(46215)
satoru_kanamori@med.teikyo-u.ac.jp
1st name | Satoru |
Middle name | |
Last name | Kanamori |
Teikyo University
Graduate School of Public Health
173-8605
2-11-1, Kaga, Itabashi-ku, Tokyo, Japan
03-3964-1211(46215)
satoru_kanamori@med.teikyo-u.ac.jp
Teikyo University, Graduate School of Public Health, Satoru Kanamori
Japan Agency for Medical Research and Development
Government offices of other countries
Teikyo University Medical Research Ethics Committee
2-11-1 Kaga Itabashi-ku, Tokyo, Japan
03-3964-7256(42203)
turb-office@teikyo-u.ac.jp
NO
2023 | Year | 07 | Month | 18 | Day |
Unpublished
146
1) Identified records: database (n=37851)
Records excluded before the screening:
Records marked as ineligible
marked as ineligible by automated tools (n=515)
Records excluded for other reasons (limited to 2010 and later) (n=3275)
2) Screened records (n=19091)
Of which, reports removed (n=18806)
3) Reports sought to obtain (n=285)
Of which, reports removed (n=139)
4) Total studies adopted for review (n=146)
Preinitiation
2023 | Year | 06 | Month | 30 | Day |
2023 | Year | 07 | Month | 18 | Day |
2025 | Year | 03 | Month | 31 | Day |
Based on a synthesis of randomized controlled trials, this systematic review and meta-analysis examine dropout and compliance rates in interventions using digital health technology as primary prevention of mental health outcomes in workers, by intervention content and subject characteristics.
2023 | Year | 07 | Month | 18 | Day |
2024 | Year | 07 | Month | 26 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000058916