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

mHealth for Wellness, Behavior Change and Prevention (2743) mHealth for Patient Education (214) Mobile Health (mhealth) (2765) Prevention and Health Promotion (895) Apps, Mobile, Wearables for Diabetes (288) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41099, first published .
The Effectiveness of a Traditional Chinese Medicine–Based Mobile Health App for Individuals With Prediabetes: Randomized Controlled Trial

The Effectiveness of a Traditional Chinese Medicine–Based Mobile Health App for Individuals With Prediabetes: Randomized Controlled Trial

The Effectiveness of a Traditional Chinese Medicine–Based Mobile Health App for Individuals With Prediabetes: Randomized Controlled Trial

Authors of this article:

Hsueh-Wen Chung1 Author Orcid Image ;   Chen-Jei Tai2, 3 Author Orcid Image ;   Polun Chang4 Author Orcid Image ;   Wen-Lin Su5, 6 Author Orcid Image ;   Li-Yin Chien7 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Feng H, Qiu S, Hong X, Ma S, Hou Z, Zhu K, Guo M, Wang C, Huang Y. Impact of Different Traditional Chinese Medicine Constitutions on the Clinical Outcomes of COVID-19 Patients Infected with SARS-CoV-2 Omicron Variant: A Retrospective Observational Study. Infection and Drug Resistance 2023;Volume 16:6333 View
  2. Lin Y. Concerns on Generalizability. JMIR mHealth and uHealth 2023;11:e50280 View
  3. Chung H, Tai C, Chang P, Su W, Chien L. Authors’ Reply: Concerns on Generalizability. JMIR mHealth and uHealth 2023;11:e51852 View
  4. Jahan E, Almansour R, Ijaz K, Baptista S, Giordan L, Ronto R, Zaman S, O'Hagan E, Laranjo L. Smartphone Applications to Prevent Type 2 Diabetes: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2024;66(6):1060 View
  5. Shen Y, Wang S, Shen Y, Tan S, Dong Y, Qin W, Zhuang Y. Evaluating the Usability of mHealth Apps: An Evaluation Model Based on Task Analysis Methods and Eye Movement Data. Healthcare 2024;12(13):1310 View