Evaluating a game-based randomized experiment to increase melanoma identification among adults living in the U.S

Although cutaneous melanoma diagnoses are rising, morbidity and mortality can be reduced through early detection. This investigation seeks to improve melanoma identification accuracy, attitudes, and intentions among a lay population by comparing the effectiveness of different melanoma identification training strategies and the effect of real-time decisional feedback on a melanoma identification task. We developed an innovative, game-based approach and hypothesize differences among frequently used melanoma identification training modalities (i.e, the Asymmetry/Border/Color/Diameter [ABCD] rule, the Ugly Duckling Rule [UDS], and a modality that combines them both, ABCDF (where the F stands for 'funny looking"), and investigate differences in types of immediate feedback on a melanoma identification task.We conducted a national online randomized experiment to test a 4 (melanoma training strategies: ABCD, UDS, ABCD-F, control) × 3 (feedback: Dermatological, Dermatological + Motivational, control) factorial design on melanoma identification, skin cancer beliefs (perceived susceptibility, severity, response efficacy, self-efficacy), attitudes, and prevention intentions.ABCD training (p .001) and UDS training (p = .05) resulted in significantly higher melanoma identification than the control. All training types resulted in significantly higher self-efficacy than the control (p = .02). Both Dermatological (p = .02) and Dermatological + Motivational feedback (p = .01) elicited significantly lower melanoma identification than the control condition, although this effect may be due to differences observed among participants who received UDS training. There was a significant main effect of feedback on self-efficacy (p = .002), where both Dermatological and Dermatological + Motivational feedback elicited higher levels of self-efficacy than the control.Our results suggest that game-based ABCD and UDS training strategies could increase melanoma identification accuracy. Real-time feedback reduced accuracy, but was associated with increased self-efficacy related to melanoma detection outcomes.