Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42397, first published .
Dropout Rate in Digital Health Interventions for the Prevention of Skin Cancer: Systematic Review, Meta-analysis, and Metaregression

Dropout Rate in Digital Health Interventions for the Prevention of Skin Cancer: Systematic Review, Meta-analysis, and Metaregression

Dropout Rate in Digital Health Interventions for the Prevention of Skin Cancer: Systematic Review, Meta-analysis, and Metaregression

Journals

  1. Mbuagbaw L, Chen L, Aluko E, Stevens-Uninsky M, Eze-Onuorah A, Garcia M, Stech L, Atkin-Jones T, Rehman N, Raifu A. Empirical progression criteria thresholds for feasibility outcomes in HIV clinical trials: a methodological study. Pilot and Feasibility Studies 2023;9(1) View
  2. Nittas V, Daniore P, Chavez S, Wray T. Challenges in implementing cultural adaptations of digital health interventions. Communications Medicine 2024;4(1) View
  3. Cohen A, Schwamm L. Digital Health for Oncological Care. The Cancer Journal 2024;30(1):34 View
  4. Kötting L, Anand-Kumar V, Keller F, Henschel N, Lippke S. Behaviour change towards effective communication supported by an app for pregnant women: Social-cognitive HAPA determinants and dropout exploration in a longitudinal study in German (Preprint). JMIR Human Factors 2023 View
  5. Ramos N, Besoain F, Cancino N, Gallardo I, Albornoz P, Fresno A, Spencer R, Schott S, Núñez D, Salgado C, Campos S. Development of a Multiplatform Tool for the Prevention of Prevalent Mental Health Pathologies in Adults: Protocol for a Randomized Control Trial. JMIR Research Protocols 2024;13:e52324 View