Published on in Vol 21, No 11 (2019): November

Using Cluster Analysis to Explore Engagement and e-Attainment as Emergent Behavior in Electronic Mental Health

Using Cluster Analysis to Explore Engagement and e-Attainment as Emergent Behavior in Electronic Mental Health

Using Cluster Analysis to Explore Engagement and e-Attainment as Emergent Behavior in Electronic Mental Health

Journals

  1. Perski O, Watson N, Mull K, Bricker J. Identifying Content-Based Engagement Patterns in a Smoking Cessation Website and Associations With User Characteristics and Cessation Outcomes: A Sequence and Cluster Analysis. Nicotine & Tobacco Research 2021;23(7):1103 View
  2. Wu D, An J, Yu P, Lin H, Ma L, Duan H, Deng N. Patterns for Patient Engagement with the Hypertension Management and Effects of Electronic Healthcare Provider Follow-up on these Patterns: Cluster Analysis (Preprint). Journal of Medical Internet Research 2020 View
  3. Garety P, Ward T, Emsley R, Greenwood K, Freeman D, Fowler D, Kuipers E, Bebbington P, Dunn G, Hardy A. Digitally supported CBT to reduce paranoia and improve reasoning for people with schizophrenia-spectrum psychosis: the SlowMo RCT. Efficacy and Mechanism Evaluation 2021;8(11):1 View