ArticleBMC nephrology2025
Willingness and influencing factors of adults receiving Hemodialysis to use mobile healthcare apps: a cross-sectional study.
Article in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Healthcare consumers' acceptance and use of digital health technology in LMICs and the role of self-efficacy and facilitating conditions: a systematic review and meta-analysis.The Lancet regional health. Western Pacific · 2026Article
- Facilitators and barriers to mobile health adoption among older adults with hip fractures: A systematic review.Digital healthReview
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Authors and funding
4 authors.
Funding
Abstract
purposeGrounded on the Technology Acceptance Model and integrating theories of perceived risk and trust, this study explores the willingness of adults receiving hemodialysis to use mobile healthcare application services as well as its influencing factors. INDIVIDUALS AND
methodsUsing convenience sampling, 313 adults receiving hemodialysis treated in a comprehensive hospital in Yangzhou City were selected as survey participants from January to March 2024. The study utilized a general information questionnaire and a specific questionnaire assessing the willingness of individuals on hemodialysis to use mobile healthcare application services. A structural equation model was constructed to analyze the influencing factors.
resultsThe scores for each dimension assessing the willingness of adults receiving hemodialysis to use mobile healthcare application services questionnaire were as follows: Perceived Risk (3.31 ± 1.20), Perceived Trust (3.63 ± 0.85), Social Influence (3.84 ± 0.86), Perceived Ease of Use (3.57 ± 0.96), Perceived Usefulness (3.69 ± 0.84), Individual Innovativeness (4.02 ± 0.97), and Willingness to Use (3.85 ± 0.92). Structural equation model analysis indicated that Perceived Ease of Use, Perceived Usefulness, and Individual Innovativeness have a positive impact on the Willingness to Use, with effect values of 0.25, 0.38, and 0.21, respectively. There differences were statistically significant (all P < 0.05).
conclusionThe willingness level of adults receiving hemodialysis to use mobile healthcare application services is above average. Key factors influencing the willingness of individuals on hemodialysis to use these services are Perceived Ease of Use, Perceived Usefulness, and Individual Innovativeness. CLINICAL TRIAL NUMBER: ChiCTR2400087782.
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