Trajectories of 12-Month Usage Patterns for Two Smoking Cessation Websites: Exploring How Users Engage Over Time
| Autor: | Jaimee L. Heffner, Vasundhara Sridharan, Yifan Zhu, Jonathan B Bricker, Noreen L. Watson, Jennifer B. McClure, Kristin E Mull, Chongzhi Di |
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| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Time Factors 020205 medical informatics smokefree.gov medicine.medical_treatment Psychological intervention Health Informatics 02 engineering and technology tobacco Acceptance and commitment therapy law.invention Odds 03 medical and health sciences 0302 clinical medicine Randomized controlled trial law tobacco use cessation 0202 electrical engineering electronic engineering information engineering eHealth medicine Humans trajectories 030212 general & internal medicine Patient participation Internet Original Paper business.industry Smoking Odds ratio Middle Aged smoking cessation acceptance and commitment therapy websites Smoking cessation Female telemedicine patient participation business engagement Demography |
| Zdroj: | Journal of Medical Internet Research |
| ISSN: | 1438-8871 |
| Popis: | Background: Little is known about how individuals engage with electronic health (eHealth) interventions over time and whether this engagement predicts health outcomes. Objective: The objectives of this study, by using the example of a specific type of eHealth intervention (ie, websites for smoking cessation), were to determine (1) distinct groups of log-in trajectories over a 12-month period, (2) their association with smoking cessation, and (3) baseline user characteristics that predict trajectory group membership. Methods: We conducted a functional clustering analysis of 365 consecutive days of log-in data from both arms of a large (N=2637) randomized trial of 2 website interventions for smoking cessation (WebQuit and Smokefree), with a primary outcome of 30-day point prevalence smoking abstinence at 12 months. We conducted analyses for each website separately. Results: A total of 3 distinct trajectory groups emerged for each website. For WebQuit, participants were clustered into 3 groups: 1-week users (682/1240, 55.00% of the sample), 5-week users (399/1240, 32.18%), and 52-week users (159/1240, 12.82%). Compared with the 1-week users, the 5- and 52-week users had 57% higher odds (odds ratio [OR] 1.57, 95% CI 1.13-2.17; P=.007) and 124% higher odds (OR 2.24, 95% CI 1.45-3.43; P |
| Databáze: | OpenAIRE |
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