NCT05264155: BSAK19

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

Completed NA Last updated 22 March 2022

What this trial tests

NA trial testing GameBus (mHealth app) in Lifestyle in 176 participants. Completed in 16 December 2019.

Timeline

14 October 2019

Primary endpoint
16 December 2019

16 December 2019

Quick facts

Lead sponsor	Eindhoven University of Technology
Phase	NA
Status	Completed
Study type	INTERVENTIONAL
Allocation	randomized
Design	parallel
Masking	none
Primary purpose	prevention
Enrollment	176
Start date	14 October 2019
Primary completion	16 December 2019
Estimated completion	16 December 2019
Sites	1 location across Belgium

Drugs / interventions tested

• GameBus (mHealth app)

Conditions studied

• Lifestyle — all drugs for Lifestyle →
• Lifestyle, Healthy — all drugs for Lifestyle, Healthy →
• Lifestyle, Sedentary — all drugs for Lifestyle, Sedentary →
• Lifestyle Risk Reduction — all drugs for Lifestyle Risk Reduction →

Sponsor

Eindhoven University of Technology

Who can join

Eligibility, any sex, with Lifestyle or Lifestyle, Healthy. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

1. Evaluating the Impact of Adaptive Personalized Goal Setting on Engagement Levels of Government Staff With a Gamified mHealth Tool: Results From a 2-Month Randomized Controlled Trial.
   Nuijten R, Van Gorp P, Khanshan A, Le Blanc P, et al · · 2022 · cited 13× · PMID 35357323 · DOI 10.2196/28801