RESUMEN
Evaluating user experiences with digital interventions is critical to increase uptake and adherence, but traditional methods have limitations. We incorporated natural language processing (NLP) with convergent mixed methods to evaluate a personalized feedback and coaching digital sleep intervention for alcohol risk reduction: 'Call it a Night' (CIAN; N = 120). In this randomized clinical trial with young adults with heavy drinking, control conditions were A + SM: web-based advice + active and passive monitoring; and A: advice + passive monitoring. Findings converged to show that the CIAN treatment condition group found feedback and coaching most helpful, whereas participants across conditions generally found advice helpful. Further, most participants across groups were interested in varied whole-health sleep-related factors besides alcohol use (e.g., physical activity), and many appreciated increased awareness through monitoring with digital tools. All groups had high adherence, satisfaction, and reported feasibility, but participants in CIAN and A + SM reported significantly higher effectiveness than those in A. NLP corroborated positive sentiments across groups and added critical insight that sleep, not alcohol use, was a main participant motivator. Digital sleep interventions are an acceptable, novel alcohol treatment strategy, and improving sleep and overall wellness may be important motivations for young adults. Further, NLP provides an efficient convergent method for evaluating experiences with digital interventions.
RESUMEN
Background: The use of electronic nicotine delivery systems (ENDS) is one of the most common substance use behaviors in college students, yet most individuals show some interest in quitting. The current study added to the limited literature on ENDS cessation by examining readiness to quit and the use and perceived efficacy of ENDS cessation methods in a heterogeneous sample of college students. Methods: Students 18-24 years in Psychology courses (N = 1563; 73% female) from six US universities completed an online survey between September 2021-April 2022. Results: Nearly half the sample (n = 738, 47%) reported lifetime ENDS use and nearly half of lifetime users (n = 356, 48%) reported a quit attempt. Most ENDS users reported some readiness to quit (n = 251, 67%). Quitting "cold turkey", using willpower, and replacing ENDS use with another activity were endorsed most frequently; strategies were perceived as more helpful if students had direct experience with them. Social support (e.g., counseling, groups, family/friend support) and nicotine replacement products were perceived as effective but were utilized infrequently. Digital tools (i.e., apps, text messaging) were perceived to be least helpful and were utilized infrequently. Conclusion: Most college students who use ENDS are interested in quitting and have relied on unassisted methods for cessation. Our data suggest a significant opportunity for college personnel and public health officials to further enhance awareness and uptake of ENDS cessation resources for this demographic. Digital tools that integrate social support may be especially effective given their low cost, demonstrated efficacy, and alignment with students' preferences for social support.
