Enhancing eHealth Technology Acceptance Among Patients With Chronic Illness-Role of eHealth Literacy
Abstract
Purpose: With the integration of healthcare and technology continuously accelerating, These technological transformations present significant challenges, especially in the care of patients with chronic illness who are older or with multiple comorbidities. The effectiveness of chronic illness management increasingly depends on patients' acceptance and use of innovative eHealth technologies. eHealth literacy is a critical skill that reflects patients' ability to understand and use technology, playing a pivotal role in their acceptance of innovative eHealth technology. This study aims to identify the predictors of eHealth technology acceptance and explore the mediating role of eHealth literacy in enhancing care outcomes for patients with chronic illness.
Methods: This cross-sectional study randomly sampled 169 patients with chronic illness from hospitals in Northern Taiwan. Data were collected using structured questionnaires, and multiple regression analyses were conducted to identify predictors of eHealth technology acceptance. Additionally, the SPSS PROCESS macro and bootstrapping techniques examined the mediating effects of eHealth literacy, controlling for variables such as age, occupation, education, and religion.
Results: The study involved participants with an average age of 58.48 years, predominantly male, with education levels up to high school or junior college, mostly of Buddhist faith, and married. The findings revealed that better health status was strongly associated with higher eHealth technology acceptance. Additionally, there were positive correlations between social support and eHealth literacy with eHealth technology acceptance. Notably, eHealth literacy fully mediated the relationship between social support and eHealth technology acceptance, indicating that improvements in eHealth literacy could enhance the impact of social support on technology acceptance among patients with chronic illness.
Conclusion: In the digital healthcare era, eHealth literacy among patients with chronic illness is crucial for enhancing eHealth technology acceptance. Strengthening eHealth literacy through improved social support mechanisms can significantly boost eHealth technology acceptance. As patients' eHealth literacy improves, they are better equipped to utilize eHealth technologies effectively, thereby recognizing their usefulness and ease of use, ultimately enhancing eHealth technology acceptance.
Notes
References:
Chen Y, Cheng C, Osborne RH, Kayser L, Liu C, & L, C. (2022). Validity Testing and Cultural Adaptation of the eHealth Literacy Questionnaire (eHLQ) Among People With Chronic Diseases in Taiwan: Mixed Methods Study. Journal of Medical Internet Research. doi:doi.org/10.2196/32855
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
Glasgow, R. E., Strycker, L. A., Toobert, D. J., & Eakin, E. (2000). A social-ecologic approach to assessing support for disease self-management: the Chronic Illness Resources Survey. J Behav Med, 23(6), 559-583. doi:10.1023/a:1005507603901
Glasgow, R. E., Toobert, D. J., Barrera, M., Jr, & Strycker, L. A. (2004). The Chronic Illness Resources Survey: cross-validation and sensitivity to intervention. Health Education Research, 20(4), 402-409. doi:10.1093/her/cyg140
Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach.
Huang, Y. S. (2019). Exploring the Relationship between eHealth Literacy and eHealth Technology Acceptance in Patients with Diabetes Mellitus. (Master's degree).
Kayser, L., Karnoe, A., Furstrand, D., Batterham, R., Christensen, K. B., Elsworth, G., & Osborne, R. H. (2018). A multidimensional tool based on the eHealth literacy framework: Development and initial validity testing of the eHealth literacy questionnaire (eHLQ). Journal of medical Internet research, 20(2), e36. doi:10.2196/jmir.8371
Sigma Membership
Lambda Beta at-Large
Type
Poster
Format Type
Text-based Document
Study Design/Type
Descriptive/Correlational
Research Approach
Mixed/Multi Method Research
Keywords:
Long-term Care, Chronic Illnesses, Comorbidities, eHealth, eHealth Literacy
Recommended Citation
Shiu, Lian-shin and Chen, Yu-Chi, "Enhancing eHealth Technology Acceptance Among Patients With Chronic Illness-Role of eHealth Literacy" (2025). International Nursing Research Congress (INRC). 16.
https://www.sigmarepository.org/inrc/2025/posters_2025/16
Conference Name
36th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Seattle, Washington, USA
Conference Year
2025
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
Review Type
Abstract Review Only: Reviewed by Event Host
Acquisition
Proxy-submission
Enhancing eHealth Technology Acceptance Among Patients With Chronic Illness-Role of eHealth Literacy
Seattle, Washington, USA
Purpose: With the integration of healthcare and technology continuously accelerating, These technological transformations present significant challenges, especially in the care of patients with chronic illness who are older or with multiple comorbidities. The effectiveness of chronic illness management increasingly depends on patients' acceptance and use of innovative eHealth technologies. eHealth literacy is a critical skill that reflects patients' ability to understand and use technology, playing a pivotal role in their acceptance of innovative eHealth technology. This study aims to identify the predictors of eHealth technology acceptance and explore the mediating role of eHealth literacy in enhancing care outcomes for patients with chronic illness.
Methods: This cross-sectional study randomly sampled 169 patients with chronic illness from hospitals in Northern Taiwan. Data were collected using structured questionnaires, and multiple regression analyses were conducted to identify predictors of eHealth technology acceptance. Additionally, the SPSS PROCESS macro and bootstrapping techniques examined the mediating effects of eHealth literacy, controlling for variables such as age, occupation, education, and religion.
Results: The study involved participants with an average age of 58.48 years, predominantly male, with education levels up to high school or junior college, mostly of Buddhist faith, and married. The findings revealed that better health status was strongly associated with higher eHealth technology acceptance. Additionally, there were positive correlations between social support and eHealth literacy with eHealth technology acceptance. Notably, eHealth literacy fully mediated the relationship between social support and eHealth technology acceptance, indicating that improvements in eHealth literacy could enhance the impact of social support on technology acceptance among patients with chronic illness.
Conclusion: In the digital healthcare era, eHealth literacy among patients with chronic illness is crucial for enhancing eHealth technology acceptance. Strengthening eHealth literacy through improved social support mechanisms can significantly boost eHealth technology acceptance. As patients' eHealth literacy improves, they are better equipped to utilize eHealth technologies effectively, thereby recognizing their usefulness and ease of use, ultimately enhancing eHealth technology acceptance.
Description
This study aims to identify the predictors of eHealth technology acceptance and explore the mediating role of eHealth literacy in enhancing care outcomes for patients with chronic illnesses.