Published on in Vol 22, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15565, first published .
The Impact of a Social Networking Service–Enhanced Smart Care Model on Stage 5 Chronic Kidney Disease: Quasi-Experimental Study

The Impact of a Social Networking Service–Enhanced Smart Care Model on Stage 5 Chronic Kidney Disease: Quasi-Experimental Study

The Impact of a Social Networking Service–Enhanced Smart Care Model on Stage 5 Chronic Kidney Disease: Quasi-Experimental Study

Journals

  1. Li W, Chiu F, Zeng J, Li Y, Huang S, Yeh H, Cheng B, Yang F. Mobile Health App With Social Media to Support Self-Management for Patients With Chronic Kidney Disease: Prospective Randomized Controlled Study. Journal of Medical Internet Research 2020;22(12):e19452 View
  2. Fildes K, Stefoska‐Needham A, Atkinson J, Lambert K, Lee A, Pugh D, Smyth M, Turner R, Wallace S, Nealon J. Optimising health care for people living with chronic kidney disease: Health‐professional perspectives. Journal of Renal Care 2022;48(3):168 View
  3. Sangrawee Maneesri , Khemaradee Masingboon , Nujjaree Chaimongkol . Effectiveness of Individual and Family Self-Management Combined mHealth Program for People with Stage 3 Chronic Kidney Disease: A Randomized Controlled Trial. Pacific Rim International Journal of Nursing Research 2022;27(1):169 View
  4. Ma J, Wang J, Ying J, Xie S, Su Q, Zhou T, Han F, Xu J, Zhu S, Yuan C, Huang Z, Xu J, Chen X, Bian X. Long-Term Efficacy of an AI-Based Health Coaching Mobile App in Slowing the Progression of Nondialysis-Dependent Chronic Kidney Disease: Retrospective Cohort Study. Journal of Medical Internet Research 2024;26:e54206 View