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

Protocols for Public Health Research and Surveillance (113) Parent and Caregiver Education and Behavior Change for Injury/Accident Prevention (22) Accident and Injury Prevention (57) mHealth for Patient Education (295) mHealth for Wellness, Behavior Change and Prevention (3359)

Published on in Vol 11 (2025)

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Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76195, first published .
Evaluating the Effectiveness of an Intelligent mHealth Intervention for Child Unintentional Injury Prevention: Protocol for a Cluster Randomized Controlled Trial

Evaluating the Effectiveness of an Intelligent mHealth Intervention for Child Unintentional Injury Prevention: Protocol for a Cluster Randomized Controlled Trial

Evaluating the Effectiveness of an Intelligent mHealth Intervention for Child Unintentional Injury Prevention: Protocol for a Cluster Randomized Controlled Trial

Authors of this article:

Yang Yuan1 Author Orcid Image ;   Yuying Jing1 Author Orcid Image ;   Jiyu Li1 Author Orcid Image ;   Jieyi He2 Author Orcid Image ;   David C Schwebel3 Author Orcid Image ;   Peishan Ning1, 4 Author Orcid Image ;   Zhenzhen Rao1 Author Orcid Image ;   Li Li1 Author Orcid Image ;   Guoqing Hu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yang Yuan   1 , BA ;   Yuying Jing   1 , BA ;   Jiyu Li   1 , BA ;   Jieyi He   2 , PhD ;   David C Schwebel   3 , PhD ;   Peishan Ning   1, 4 , PhD ;   Zhenzhen Rao   1 , PhD ;   Li Li   1 , PhD ;   Guoqing Hu   1 , PhD

1 Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China

2 Clinical Trials Center, The Affiliated Hospital of Guizhou Medical University, Guizhou, China

3 Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, United States

4 Hunan Provincial Key Laboratory of Philosophy and Social Sciences of Urban Smart Governance, Changsha, China

Corresponding Author:

  • Li Li, PhD
  • Department of Epidemiology and Health Statistics
  • Xiangya School of Public Health, Central South University
  • Public Health Bldg, 172 Tongzipo Road
  • Changsha 410013
  • China
  • Phone: 86 15211051690
  • Email: lili1009@csu.edu.cn