Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73520, first published .
Effectiveness of eHealth for Medication Adherence in Renal Transplant Recipients: Systematic Review and Meta-Analysis

Effectiveness of eHealth for Medication Adherence in Renal Transplant Recipients: Systematic Review and Meta-Analysis

Effectiveness of eHealth for Medication Adherence in Renal Transplant Recipients: Systematic Review and Meta-Analysis

Authors of this article:

Lili Zhou1 Author Orcid Image ;   Ke Cheng2 Author Orcid Image ;   Linbin Chen1 Author Orcid Image ;   Xinyi Hou1 Author Orcid Image ;   Jingjing Wan3 Author Orcid Image

Journals

  1. Alsanosi S, Aldajani A, Gheliwi H, Alotibi M, Bokhari G, Almatrafi O, Alqawlaq A, Abujamai J, Shaikhomer M, Alhindi Y, Alshanberi A. Knowledge, Attitudes, and Perceptions of Chronic Patients in Saudi Arabia Regarding the Use of Artificial Intelligence to Improve Medication Adherence. Patient Preference and Adherence 2025;Volume 19:1781 View
  2. Kuypers D, Annaert P, Jallah B, Naesens M, Teuns M, Laenen A, Faelens R. Electronic Patient File‐Embedded Model‐Informed Precision Dosing Compared with Physician Dosing of Tacrolimus in Kidney Transplantation. Clinical Pharmacology & Therapeutics 2025 View
  3. Guldan M, Al‐Shiab R, Rustamov A, Ozbek L, Ferro C, Kanbay M. The Exposome Era in Kidney Transplantation: A New Frontier in Graft Outcomes and Precision Medicine. Clinical Transplantation 2025;39(11) View
  4. Zhou L, Cheng K, Chen L, Han S, Wan J. Investigating the pathways of medication adherence in renal transplant recipients based on the COM-B model: the parallel mediating effects of beliefs and emotion regulation efficacy. Frontiers in Pharmacology 2025;16 View