Willingness and influencing factors of adults receiving Hemodialysis to use mobile healthcare apps: a cross-sectional study
- PMID: 40597850
- PMCID: PMC12211288
- DOI: 10.1186/s12882-025-04228-7
Willingness and influencing factors of adults receiving Hemodialysis to use mobile healthcare apps: a cross-sectional study
Abstract
Purpose: Grounded 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 methods: Using 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.
Results: The 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).
Conclusion: The 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.
Keywords: Hemodialysis; Mobile healthcare apps; Technology acceptance model; Willingness and factor.
© 2025. The Author(s).
Conflict of interest statement
Declarations. Ethics approval and consent to participate: The study was conducted in accordance with the Declaration of Helsinki and was approved by the Ethics Committee of Northern Jiangsu People’s Hospital (number 2023ky283). All participants were informed and consented voluntarily to participate in this study. Anonymity was maintained as there was no identifiable information collected from participants. Consent for publication: Not applicable. Informed consent: Was obtained from all participants prior to data collection. Competing interests: The authors declare no competing interests.
Figures
Similar articles
-
[Type 2 diabetes patients use E-health to manage disease willingness and influence mechanisms].Beijing Da Xue Xue Bao Yi Xue Ban. 2025 Jun 18;57(3):522-528. doi: 10.19723/j.issn.1671-167X.2025.03.016. Beijing Da Xue Xue Bao Yi Xue Ban. 2025. PMID: 40509830 Free PMC article. Chinese.
-
Factors influencing the adoption of telemedicine services among middle-aged and older patients with chronic conditions in rural China: a multicentre cross-sectional study.BMC Health Serv Res. 2025 May 30;25(1):775. doi: 10.1186/s12913-025-12931-2. BMC Health Serv Res. 2025. PMID: 40448164 Free PMC article.
-
Tools for Evaluating the Content, Efficacy, and Usability of Mobile Health Apps According to the Consensus-Based Standards for the Selection of Health Measurement Instruments: Systematic Review.JMIR Mhealth Uhealth. 2021 Dec 1;9(12):e15433. doi: 10.2196/15433. JMIR Mhealth Uhealth. 2021. PMID: 34855618 Free PMC article.
-
A modified UTAUT model for acceptance to use telemedicine services and its predictors among healthcare professionals at public hospitals in North Shewa Zone of Oromia Regional State, Ethiopia.Front Digit Health. 2025 Jun 3;7:1469365. doi: 10.3389/fdgth.2025.1469365. eCollection 2025. Front Digit Health. 2025. PMID: 40529608 Free PMC article.
-
What is the value of routinely testing full blood count, electrolytes and urea, and pulmonary function tests before elective surgery in patients with no apparent clinical indication and in subgroups of patients with common comorbidities: a systematic review of the clinical and cost-effective literature.Health Technol Assess. 2012 Dec;16(50):i-xvi, 1-159. doi: 10.3310/hta16500. Health Technol Assess. 2012. PMID: 23302507 Free PMC article.
References
-
- Luo Y, Zhang H, Li XQ, et al. Survey and analysis of continuous nursing demand of maintenance Hemodialysis patients. Chin Nurs Res. 2018;32(1):120–2. 10.3969/j.issn.1009-6439.2018.01.032.
-
- Olivares-Gandy HJ, Domínguez-Isidro S, López-Domínguez E, et al. A telemonitoring system for nutritional intake in patients with chronic kidney disease receiving peritoneal dialysis therapy. Comput Biol Med. 2019;109:1–13. 10.1016/j.compbiomed.2019.04.012. - PubMed
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical