TY - JOUR
T1 - The Association Between Patients' eHealth Literacy and Satisfaction With Shared Decision-making and Well-being: Multicenter Cross-sectional Study
AU - Xu, Richard Huan
AU - Zhou, Lingming
AU - Wong, Eliza
AU - Wang, Dong
N1 - Funding Information:
This study was funded by a grant from the Guangdong Basic and Applied Basic Research Foundation (Ref ID: 2021A1515011973).
Publisher Copyright:
© 2021 Richard Huan Xu, Ling-Ming Zhou, Eliza Lai-Yi Wong, Dong Wang.
PY - 2021/9/24
Y1 - 2021/9/24
N2 - Background: Although previous studies have shown that a high level of health literacy can improve patients' ability to engage in health-related shared decision-making (SDM) and improve their quality of life, few studies have investigated the role of eHealth literacy in improving patient satisfaction with SDM (SSDM) and well-being. Objective: This study aims to assess the relationship between patients' eHealth literacy and their socioeconomic determinants and to investigate the association between patients' eHealth literacy and their SSDM and well-being. Methods: The data used in this study were obtained from a multicenter cross-sectional survey in China. The eHealth Literacy Scale (eHEALS) and Investigating Choice Experiments Capability Measure for Adults were used to measure patients' eHealth literacy and capability well-being, respectively. The SSDM was assessed by using a self-administered questionnaire. The Kruskal-Wallis one-way analysis of variance and Wilcoxon signed-rank test were used to compare the differences in the eHEALS, SSDM, and Investigating Choice Experiments Capability Measure for Adults scores of patients with varying background characteristics. Ordinary least square regression models were used to assess the relationship among eHealth literacy, SSDM, and well-being adjusted by patients' background characteristics. Results: A total of 569 patients completed the questionnaire. Patients who were male, were highly educated, were childless, were fully employed, were without chronic conditions, and indicated no depressive disorder reported a higher mean score on the eHEALS. Younger patients (SSDM≥61 years=88.6 vs SSDM16-30 years=84.2) tended to show higher SSDM. Patients who were rural residents and were well paid were more likely to report good capability well-being. Patients who had a higher SSDM and better capability well-being reported a significantly higher level of eHealth literacy than those who had lower SSDM and poorer capability well-being. The regression models showed a positive relationship between eHealth literacy and both SSDM (β=.22; P<.001) and well-being (β=.26; P<.001) after adjusting for patients' demographic, socioeconomic status, lifestyle, and health status variables. Conclusions: This study showed that patients with a high level of eHealth literacy are more likely to experience optimal SDM and improved capability well-being. However, patients' depressive status may alter the relationship between eHealth literacy and SSDM.
AB - Background: Although previous studies have shown that a high level of health literacy can improve patients' ability to engage in health-related shared decision-making (SDM) and improve their quality of life, few studies have investigated the role of eHealth literacy in improving patient satisfaction with SDM (SSDM) and well-being. Objective: This study aims to assess the relationship between patients' eHealth literacy and their socioeconomic determinants and to investigate the association between patients' eHealth literacy and their SSDM and well-being. Methods: The data used in this study were obtained from a multicenter cross-sectional survey in China. The eHealth Literacy Scale (eHEALS) and Investigating Choice Experiments Capability Measure for Adults were used to measure patients' eHealth literacy and capability well-being, respectively. The SSDM was assessed by using a self-administered questionnaire. The Kruskal-Wallis one-way analysis of variance and Wilcoxon signed-rank test were used to compare the differences in the eHEALS, SSDM, and Investigating Choice Experiments Capability Measure for Adults scores of patients with varying background characteristics. Ordinary least square regression models were used to assess the relationship among eHealth literacy, SSDM, and well-being adjusted by patients' background characteristics. Results: A total of 569 patients completed the questionnaire. Patients who were male, were highly educated, were childless, were fully employed, were without chronic conditions, and indicated no depressive disorder reported a higher mean score on the eHEALS. Younger patients (SSDM≥61 years=88.6 vs SSDM16-30 years=84.2) tended to show higher SSDM. Patients who were rural residents and were well paid were more likely to report good capability well-being. Patients who had a higher SSDM and better capability well-being reported a significantly higher level of eHealth literacy than those who had lower SSDM and poorer capability well-being. The regression models showed a positive relationship between eHealth literacy and both SSDM (β=.22; P<.001) and well-being (β=.26; P<.001) after adjusting for patients' demographic, socioeconomic status, lifestyle, and health status variables. Conclusions: This study showed that patients with a high level of eHealth literacy are more likely to experience optimal SDM and improved capability well-being. However, patients' depressive status may alter the relationship between eHealth literacy and SSDM.
KW - EHEALS
KW - EHealth literacy
KW - ICECAP-A
KW - Shared decision-making
KW - Well-being
UR - http://www.scopus.com/inward/record.url?scp=85115912957&partnerID=8YFLogxK
U2 - 10.2196/26721
DO - 10.2196/26721
M3 - Journal article
SN - 1439-4456
VL - 23
JO - Journal of Medical Internet Research
JF - Journal of Medical Internet Research
IS - 9
M1 - e26721
ER -