{"title":"eHealth Literacy Mediating Social Support and Technology Acceptance Among Patients With Chronic Illnesses: A Cross-Sectional Study.","authors":"Lian-Shin Shiu,Yu-Shan Huang,Chieh Yu Liu,Yu-Shan Cheng,Yu-Chi Chen","doi":"10.1111/jan.70207","DOIUrl":null,"url":null,"abstract":"AIM\r\nTo examine the relationships among social support, eHealth literacy and eHealth technology acceptance among patients with chronic illnesses, and investigate whether eHealth literacy plays a mediating role.\r\n\r\nDESIGN\r\nA cross-sectional correlational study.\r\n\r\nMETHODS\r\nA total of 202 patients with chronic illnesses were recruited from outpatient clinics and communities in Taiwan. Data were collected via structured questionnaires and analysed using SPSS and PROCESS macro with 1000 bootstrap samples.\r\n\r\nRESULTS\r\neHealth literacy was the strongest predictor of technology acceptance. Although social support was positively associated with eHealth literacy, it did not directly predict technology acceptance after controlling for eHealth literacy, indicating a full mediation effect.\r\n\r\nCONCLUSIONS\r\neHealth literacy is a crucial mechanism through which social support influences health technologies acceptance. Interventions to improve eHealth literacy, particularly those integrated with social support strategies based on different cultural backgrounds, enhance digital engagement among chronic illnesses.\r\n\r\nIMPLICATIONS FOR PROFESSION AND/OR PATIENT CARE\r\nHealthcare professionals and policy-makers should design literacy-sensitive interventions that leverage social networks and involve significant others to promote meaningful eHealth engagement in disease management.\r\n\r\nIMPACT\r\neHealth literacy fully mediates the relationship between social support and eHealth technology acceptance, proving that social support alone does not directly increase adoption without improving eHealth literacy. eHealth literacy is the strongest predictor of eHealth technology acceptance, emphasising its central role in bridging the gap between social support and eHealth engagement.\r\n\r\nREPORTING METHOD\r\nThis study followed the STROBE checklist guideline.\r\n\r\nPATIENT OR PUBLIC CONTRIBUTION\r\nNo patient or public involvement.","PeriodicalId":54897,"journal":{"name":"Journal of Advanced Nursing","volume":"24 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jan.70207","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
AIM
To examine the relationships among social support, eHealth literacy and eHealth technology acceptance among patients with chronic illnesses, and investigate whether eHealth literacy plays a mediating role.
DESIGN
A cross-sectional correlational study.
METHODS
A total of 202 patients with chronic illnesses were recruited from outpatient clinics and communities in Taiwan. Data were collected via structured questionnaires and analysed using SPSS and PROCESS macro with 1000 bootstrap samples.
RESULTS
eHealth literacy was the strongest predictor of technology acceptance. Although social support was positively associated with eHealth literacy, it did not directly predict technology acceptance after controlling for eHealth literacy, indicating a full mediation effect.
CONCLUSIONS
eHealth literacy is a crucial mechanism through which social support influences health technologies acceptance. Interventions to improve eHealth literacy, particularly those integrated with social support strategies based on different cultural backgrounds, enhance digital engagement among chronic illnesses.
IMPLICATIONS FOR PROFESSION AND/OR PATIENT CARE
Healthcare professionals and policy-makers should design literacy-sensitive interventions that leverage social networks and involve significant others to promote meaningful eHealth engagement in disease management.
IMPACT
eHealth literacy fully mediates the relationship between social support and eHealth technology acceptance, proving that social support alone does not directly increase adoption without improving eHealth literacy. eHealth literacy is the strongest predictor of eHealth technology acceptance, emphasising its central role in bridging the gap between social support and eHealth engagement.
REPORTING METHOD
This study followed the STROBE checklist guideline.
PATIENT OR PUBLIC CONTRIBUTION
No patient or public involvement.
期刊介绍:
The Journal of Advanced Nursing (JAN) contributes to the advancement of evidence-based nursing, midwifery and healthcare by disseminating high quality research and scholarship of contemporary relevance and with potential to advance knowledge for practice, education, management or policy.
All JAN papers are required to have a sound scientific, evidential, theoretical or philosophical base and to be critical, questioning and scholarly in approach. As an international journal, JAN promotes diversity of research and scholarship in terms of culture, paradigm and healthcare context. For JAN’s worldwide readership, authors are expected to make clear the wider international relevance of their work and to demonstrate sensitivity to cultural considerations and differences.