This paper is in the following e-collection/theme issue:

Text-messaging (SMS, WeChat etc)-Based Interventions (621) mHealth for Wellness, Behavior Change and Prevention (2728) Parent and Child Education on Healthy Eating and Nutrition (161) Parent and Child Education on Physical Activity (128) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (457)

Published on in Vol 7, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9967, first published .
Predicting Attrition in a Text-Based Nutrition Education Program: Survival Analysis of Text2BHealthy

Predicting Attrition in a Text-Based Nutrition Education Program: Survival Analysis of Text2BHealthy

Predicting Attrition in a Text-Based Nutrition Education Program: Survival Analysis of Text2BHealthy

Authors of this article:

Stephanie K Grutzmacher1 Author Orcid Image ;   Ashley L Munger2 Author Orcid Image ;   Katherine E Speirs3 Author Orcid Image ;   Yassaman Vafai4 Author Orcid Image ;   Evan Hilberg1 Author Orcid Image ;   Erin Braunscheidel Duru5 Author Orcid Image ;   Laryessa Worthington5 Author Orcid Image ;   Lisa Lachenmayr5 Author Orcid Image
Article Authors Cited by (8) Tweetations (9) Metrics

Journals

  1. Ek A, Delisle Nyström C, Chirita-Emandi A, Tur J, Nordin K, Bouzas C, Argelich E, Martínez J, Frost G, Garcia-Perez I, Saez M, Paul C, Löf M, Nowicka P. A randomized controlled trial for overweight and obesity in preschoolers: the More and Less Europe study - an intervention within the STOP project. BMC Public Health 2019;19(1) View
  2. Buis L. Implementation: The Next Giant Hurdle to Clinical Transformation With Digital Health. Journal of Medical Internet Research 2019;21(11):e16259 View
  3. Pedersen D, Mansourvar M, Sortsø C, Schmidt T. Predicting Dropouts From an Electronic Health Platform for Lifestyle Interventions: Analysis of Methods and Predictors. Journal of Medical Internet Research 2019;21(9):e13617 View
  4. Hübner S, Haijen E, Kaelen M, Carhart-Harris R, Kettner H. Turn on, Tune in, and Drop out: Predictors of Attrition in a Prospective Observational Cohort Study on Psychedelic Use. Journal of Medical Internet Research 2021;23(7):e25973 View
  5. Bricker J, Miao Z, Mull K, Santiago-Torres M, Vock D. Can a Single Variable Predict Early Dropout From Digital Health Interventions? Comparison of Predictive Models From Two Large Randomized Trials. Journal of Medical Internet Research 2023;25:e43629 View
  6. Spitzer M, Gutsfeld R, Wirzberger M, Moeller K. Evaluating students’ engagement with an online learning environment during and after COVID-19 related school closures: A survival analysis approach. Trends in Neuroscience and Education 2021;25:100168 View
  7. Black E, Ferdig R, Fleetwood A, Thompson L, Zhu R. Hospital homebound students and K-12 online schooling. PLOS ONE 2022;17(3):e0264841 View
  8. Fletcher R, Regan C, Dizon J, Leigh L. Understanding Attrition in Text-Based Health Promotion for Fathers: Survival Analysis. JMIR Formative Research 2023;7:e44924 View