Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21636, first published .
Factors Associated With Dropout of Participants in an App-Based Child Injury Prevention Study: Secondary Data Analysis of a Cluster Randomized Controlled Trial

Factors Associated With Dropout of Participants in an App-Based Child Injury Prevention Study: Secondary Data Analysis of a Cluster Randomized Controlled Trial

Factors Associated With Dropout of Participants in an App-Based Child Injury Prevention Study: Secondary Data Analysis of a Cluster Randomized Controlled Trial

Journals

  1. He J, Wang W, Ning P, Cheng P, Li J, Zheng M, Yuan S, Yang L, Wu Y, Zong H, Schwebel D, Yang Y, Hu G. Assessing the effectiveness of an app-based child unintentional injury prevention intervention for caregivers of rural Chinese preschoolers: protocol for a cluster randomized controlled trial. BMC Public Health 2021;21(1) View
  2. Fletcher K, Robert-Hendren D. Assessing the Feasibility and Acceptability of the Daybreak Drink Tracker: Prospective Observational Study. JMIR Formative Research 2024;8:e57403 View
  3. Yuan Y, Jing Y, Li J, He J, Schwebel D, Ning P, Rao Z, Li L, Hu G. Evaluating the Effectiveness of an Intelligent mHealth Intervention for Child Unintentional Injury Prevention: Protocol for a Cluster Randomized Controlled Trial. JMIR Public Health and Surveillance 2025;11:e76195 View