ArticlePatient preference and adherence2026
Demand Analysis of Mobile Health Applications for Patients with Chronic Kidney Disease Across Different E-Health Literacy Levels.
Article in Patient preference and adherence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- 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.Journal of medical Internet research · 2026Pooled it
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Chronic kidney disease (CKD) requires innovative strategies to support long-term self-management. This study is novel in applying the Kano model to examine preferences for mobile health (mHealth) apps among Chinese patients with CKD and to compare these preferences across different levels of e-health literacy. Patients and Methods: A multicenter cross-sectional survey was conducted among 484 patients with CKD in China. Face-to-face questionnaires were used to assess self-management needs and user interface (UI) preferences for CKD-related mHealth apps. App attributes were classified using the Kano model, and their priorities were further evaluated using Better-Worse coefficients and ranking analysis. Results: Low e-health literacy users prioritized foundational features: must-be attributes included disease knowledge, while one-dimensional attributes were symptom and medication management. High e-literacy users emphasized medical insurance information (must-be) and disease management (one-dimensional). Both groups valued an intuitive UI, in addition to considering privacy protection as must-be attributes, low e-health literacy users required simplified navigation, whereas high e-health literacy users preferred efficient data entry. Conclusion: Preferences for CKD mHealth apps varied by e-health literacy level. Patients with lower e-health literacy may benefit more from basic health education and simplified interfaces, whereas those with higher e-health literacy expect more advanced and efficient functionalities. These findings highlight the value of the Kano model in identifying differentiated user needs and can inform the development of tailored mHealth apps to support equitable CKD self-management.
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Registered trials
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