Effect of Gamification, Financial Incentives, or Both to Increase Physical Activity Among Patients at High Risk of Cardiovascular Events: The BE ACTIVE Randomized Controlled Trial.

BACKGROUND: Physical activity is associated with a lower risk of major adverse cardiovascular events, but few individuals achieve guideline recommended levels of physical activity. Strategies informed by behavioral economics increase physical activity, but their longer-term effectiveness is uncertain. We sought to determine the effect of behaviorally-designed gamification, loss-framed financial incentives, or the combination on physical activity compared with attention control over 12-month intervention and 6-month post-intervention follow-up periods.

METHODS: Between May 2019 and January 2024, participants with clinical ASCVD or 10-year risk of myocardial infarction, stroke, or cardiovascular death ≥ 7.5% by the pooled cohort equation were enrolled in a pragmatic randomized clinical trial. Participants received a wearable device to track daily steps, established a baseline, selected a step goal increase, and were randomly assigned to control (n = 151), behaviorally-designed gamification (n = 304), loss-framed financial incentives (n = 302), or gamification + financial incentives (n = 305). The trial's primary outcome was change in mean daily steps from baseline through the 12-month intervention period.

RESULTS: A total of 1062 patients (mean [SD] age 67 [8], 61% female, 31% non-white) were enrolled. Compared with controls, participants had significantly greater increases in mean daily steps from baseline during the 12-month intervention in the gamification arm (adjusted difference, 538.0; 95% CI, 186.2-889.9; P  = 0.0027), financial incentives arm (adjusted difference, 491.8; 95% CI, 139.6-844.1; P  = 0.0062), and gamification + financial incentives arm (adjusted difference, 868.0; 95% CI, 516.3-1219.7; P  < 0.0001). During 6-month follow-up, physical activity remained significantly greater in the gamification + financial incentives arm than in the control arm (adjusted difference, 576.2; 95% CI, 198.5-954; P  = 0.0028) but was not significantly greater in the gamification (adjusted difference, 459.8; 95% CI, 82.0-837.6; P  = 0.0171) or financial incentives (adjusted difference, 327.9; 95% CI, -50.2 to 706; P  = 0.09) arms, after adjusting for multiple comparisons.

CONCLUSIONS: Behaviorally-designed gamification, loss-framed financial incentives, and the combination of both increased physical activity compared with control over a 12-month intervention period, with the largest effect in gamification + financial incentives. These interventions could be a useful component of strategies to reduce cardiovascular risk in high-risk patients.