PREWELL Digital Well-being Promotion Intervention With the BitHabit App
PREWELL
PREcision Promotion of Positive Mental WELLbeing Among High-risk Adult Population (PREWELL): Capabilities, Gamification, and Digital Intervention
2 other identifiers
interventional
1,700
1 country
1
Brief Summary
Mental wellbeing is a major public health concern, and digital interventions have emerged as a scalable approach for promoting mental well-being and healthy lifestyle behaviors. However, evidence regarding long-term effectiveness and the role of user engagement remains limited. This study evaluates the effectiveness of the BitHabit digital wellbeing application in promoting mental wellbeing and healthy lifestyle among adults living in North Savo, Finland. The BitHabit application is a digital behavior change intervention designed to support mental wellbeing through the adoption of small, self-selected wellbeing-promoting habits. The application incorporates principles of self-determination theory, habit formation, self-monitoring, and behavior change techniques. Participants select habits from a library of well-being-promoting activities and track their implementation over time. The intervention study uses a stepped-wedge randomized controlled design in which all participants eventually receive access to the intervention, while participants awaiting access serve as controls. Adults aged 18 to 64 years living in North Savo were recruited between 2024 and 2025 through population registry sampling and open public recruitment. Following informed consent and baseline assessment, participants were randomly allocated to receive access to the intervention at different time points during the study. Power calculations using Monte Carlo simulations indicated that approximately 1,600 participants would provide 80% power to detect a standardized mean difference of 0.30 in mental wellbeing (SWEMWBS), assuming four intervention sequences, five measurement occasions, a within-person intraclass correlation coefficient of 0.70, and 30% attrition. The primary outcome mental wellbeing is assessed using the Short Warwick-Edinburgh Mental Wellbeing Scale (SWEMWBS). Secondary outcomes include depressive symptoms measured with the Patient Health Questionnaire (PHQ-9), self-reported capabilities, loneliness measured with the UCLA 3-item Loneliness Scale (UCLA-3), life satisfaction measured on a 0-10 scale, and self-reported health behaviours. Outcomes are measured at baseline and repeated follow-up assessments throughout the study. App usage data are used to evaluate intervention adoption and engagement and to examine whether effectiveness differs according to actual intervention use. Statistical analyses will be conducted using mixed-effects regression models that account for the stepped-wedge design and repeated measurements within participants. Models will include fixed effects for intervention exposure and time, and a random intercept for participants. Estimates will be reported with 95% confidence intervals and a two-sided significance level of 0.05. In addition to quantitative outcome assessments, participant experiences and acceptability of the intervention will be evaluated with user satisfaction questionnaires and qualitative interviews conducted among a subset of participants. These data will be used to assess perceived usefulness, user experiences, and opportunities for further development of the intervention. In addition to questionnaire and app usage data, participants will be linked to regional and national administrative registers. Register-based follow-up covers the period from one year before study enrolment until up to ten years after study completion. Data sources include health and social care registers, prescription and reimbursement registers, employment-related registers, and population registers. These data will be used to evaluate the long-term effectiveness and cost-effectiveness of the intervention, including health service use, medication use, social outcomes, and associated costs.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started May 2024
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 10, 2024
CompletedFirst Submitted
Initial submission to the registry
October 1, 2026
CompletedFirst Posted
Study publicly available on registry
October 9, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2035
October 9, 2026
October 1, 2026
2.6 years
October 1, 2026
October 6, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Short Warwick-Edinburgh Mental Well-Being Scale (SWEMWBS)
A self-reported validated measure of health and wellbeing measured with the Warwick-Edinburgh Mental Wellbeing Scale (Sarasjärvi et al 2025; Tennant et al 2007). Scores range from 7 to 35 and higher scores indicate higher positive mental wellbeing.
At baseline, 3 months, 6 months, 9 months, 12 months and 24 months.
Secondary Outcomes (2)
Self-reported capabilities
At baseline, 3 months, 6 months, 9 months, 12 months and 24 months.
Life satisfaction
At baseline, 3 months, 6 months, 9 months, 12 months and 24 months.
Study Arms (2)
Intervention
EXPERIMENTALDigital wellbeing promoting intervention with the BitHabit app
Control/Treatment as Usual
NO INTERVENTIONControl group
Interventions
The BitHabit intervention is a digital wellbeing application designed to support mental wellbeing through the adoption of small, self-selected wellbeing-promoting habits. Participants choose habits from a library covering areas such as physical activity, sleep, stress management, social relationships, recovery, and healthy daily routines. The intervention is based on self-determination theory, habit formation principles, and evidence-based behavior change techniques. Users can monitor their habit performance, receive reminders and notifications, and gradually integrate wellbeing-promoting behaviors into everyday life. Access to the intervention is provided through a web-based application and participants may continue using the application throughout the intervention period.
Eligibility Criteria
You may qualify if:
- age between 18 and 64 years
- living in North Savo, Finland
You may not qualify if:
- no access to personal mobile devices or to the internet
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Eastern Finlandlead
- University of Berncollaborator
- London School of Economics and Political Sciencecollaborator
Study Sites (1)
University of Eastern Finland & Wellbeing Services County of North Savo
Kuopio, Northern Savonia, FI-70211, Finland
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Tomi E Mäki-Opas, Professor
University of Eastern Finland & Wellbeing Services County of North Savo
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- SEQUENTIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor, social and public policy
Study Record Dates
First Submitted
October 1, 2026
First Posted
October 9, 2026
Study Start
May 10, 2024
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
December 31, 2035
Last Updated
October 9, 2026
Record last verified: 2026-10
Data Sharing
- IPD Sharing
- Will not share
We do not have permission to share IPD from the participants.