Evaluation of the Impact of Adaptive Goal Setting on Engagement Levels of Government Staff With a Gamified mHealth Tool

Lifestyle Clinical Trial

— BSAK19  

Official title:

Evaluating the Impact of Adaptive Personalized Goal Setting on Engagement Levels of Government Staff With a Gamified mHealth Tool: Study Protocol for a 2-Month Randomized Controlled Trial

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT05264155
• Other study ID #: BSAK19
• Status: Completed
• Phase: N/A
• Start date: October 14, 2019
• Est. completion date: December 16, 2019

Study information

• Verified date: March 2022
• Source: Eindhoven University of Technology
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

Background: Although the health benefits of physical activity are well established, it remains challenging for people to adopt a more active lifestyle. Mobile health (mHealth) interventions can be effective tools to promote physical activity and reduce sedentary behavior. Promising results have been obtained by using gamification techniques as behavior change strategies, especially when they were tailored toward an individual's preferences and goals; yet, it remains unclear how goals could be personalized to effectively promote health behaviors. Objective: In this study, the investigators aim to evaluate the impact of personalized goal setting in the context of gamified mHealth interventions. The investigators hypothesize that interventions suggesting health goals that are tailored based on end users' (self-reported) current and desired capabilities will be more engaging than interventions with generic goals. Methods: The study was designed as a 2-arm randomized intervention trial. Participants were recruited among staff members of Noorderkempen governmental organization. They participated in an 8-week digital health promotion campaign that was especially designed to promote walks, bike rides, and sports sessions. Using an mHealth app, participants could track their performance on two social leaderboards: a leaderboard displaying the individual scores of participants and a leaderboard displaying the average scores per organizational department. The mHealth app also provided a news feed that showed when other participants had scored points. Points could be collected by performing any of the 6 assigned tasks (eg, walk for at least 2000 m). The level of complexity of 3 of these 6 tasks was updated every 2 weeks by changing either the suggested task intensity or the suggested frequency of the task. The 2 intervention arms-with participants randomly assigned-consisted of a personalized treatment that tailored the complexity parameters based on participants' self-reported capabilities and goals and a control treatment where the complexity parameters were set generically based on national guidelines. Measures were collected from the mHealth app as well as from intake and posttest surveys and analyzed using hierarchical linear models. Note: Eindhoven University of Technology is not an official GCP sponsor. Hence, this study is not a medical clinical trial.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 176
• Est. completion date: December 16, 2019
• Est. primary completion date: December 16, 2019
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

• Employee of Noorderkempen governmental organization

Exclusion Criteria:

• None

Related Conditions & MeSH terms

• Lifestyle
• Lifestyle Risk Reduction
• Lifestyle, Healthy
• Lifestyle, Sedentary

Intervention

Behavioral:
• GameBus (mHealth app)
Using the mHealth app GameBus, participants could track their performance on 2 social leaderboards: a leaderboard displaying the individual scores of participants and a leaderboard displaying the average scores per department. To score points on these leaderboards, a participant was given a set of 6 tasks that, upon completion, were rewarded with points. In this study, 3/6 tasks were either updated generically (for the control group) or personalized (for the treatment group). By means of the mobile app, users could manually register that they had performed a task. Alternatively, users could use an activity tracker to automatically track their efforts. The activity trackers that were supported included Google Fit, Strava, and a GPS-based activity tracker. Finally, GameBus provided a set of features for social support: a newsfeed showed when other participants had scored points, and participants could like and comment on each other's healthy achievements as well as chat with each other.

Locations

Country	Name	City	State
Belgium	Noorderkempen governmental organization	Wuustwezel

Sponsors (1)

Lead Sponsor	Collaborator
Eindhoven University of Technology

Country where clinical trial is conducted

Belgium, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Passive user engagement	Number of days participants visited in the app.	one week.
Primary	Active user engagement	Number of health-related activities participants visited in the app.	one week.