Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jun 4, 2026
Date Accepted: Aug 21, 2026

The final, peer-reviewed published version of this preprint can be found here:

Facilitators and Barriers to Digital Health Technologies for Self-Management in Patients With Chronic Kidney Disease: Systematic Review Based on the Updated CFIR 2.0 Framework

Su F, Yao Y, Lin X, Su Q, Hu Y, Pei H, Xu Q

Facilitators and Barriers to Digital Health Technologies for Self-Management in Patients With Chronic Kidney Disease: Systematic Review Based on the Updated CFIR 2.0 Framework

J Med Internet Res 2026;28:e103560

DOI: 10.2196/103560

PMID: 42766847

Facilitators and Barriers to Digital Health Technologies for Self-Management in Patients with Chronic Kidney Disease: A Systematic Review Based on the Updated CFIR 2.0 Framework

  • Feiyue Su; 
  • Yao Yao; 
  • Xiaoqi Lin; 
  • Qingwen Su; 
  • Yichao Hu; 
  • Hualian Pei; 
  • Qinhong Xu

ABSTRACT

Background:

The integration of mobile health (mHealth) applications into chronic kidney disease (CKD) care holds transformative potential to enhance patient self management and slow disease progression. Patients with CKD, who are often older and have multiple comorbidities, play a central role in the success of mHealth assisted self management; their acceptance and sustained use of these tools critically determine implementation outcomes. Despite the growing proliferation of mHealth applications, there remains a limited understanding of the factors that facilitate or hinder their use among CKD patients. A clear comprehension of these influencing factors is essential to foster the effective, equitable, and sustainable integration of mHealth into routine CKD self management support.

Objective:

To analyze facilitators and barriers to the use of mHealth applications for self-management in patients with CKD, and to provide evidence to guide the development of intervention strategies.

Methods:

A systematic search was performed across CNKI, WanFang Data, VIP Database, Chinese Medical Journals Database, PubMed, CINAHL, Embase, Cochrane Library, Scopus, PsycINFO, and Web of Science Core Collection to identify relevant literatures on mHealth-facilitated self-management in patients with CKD. The search period ranged from database inception to May 2026. Two researchers independently assessed the quality of the included studies and applied the updated Consolidated Framework for Implementation Research 2.0 (CFIR 2.0) to categorize the facilitators and barriers.

Results:

A total of 13 studies involving 2,881 CKD patients were included. A total of 21 barriers and 22 facilitators were identified and grouped into five domains based on the updated CFIR 2.0: innovation, outer setting, inner setting, individual characteristics, and implementation process. The most common facilitators were a simple and easy to use interface, convenient, anytime, and rapid access to health information and care and support from family members and peers. The most prominent barriers were low health literacy, advanced age, lack of access to devices (no smartphone/internet), and poor economic status of patients.

Conclusions:

The use of mHealth applications for self-management in CKD patients is influenced by multi-level factors. Identifying key facilitators and barriers and developing targeted strategies are essential to enhance implementation effectiveness. Clinical Trial: PROSPERO CRD420261394369; Available from https://www.crd.york.ac.uk/PROSPERO/view/CRD420261394369.


 Citation

Please cite as:

Su F, Yao Y, Lin X, Su Q, Hu Y, Pei H, Xu Q

Facilitators and Barriers to Digital Health Technologies for Self-Management in Patients With Chronic Kidney Disease: Systematic Review Based on the Updated CFIR 2.0 Framework

J Med Internet Res 2026;28:e103560

DOI: 10.2196/103560

PMID: 42766847

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.