e-Health Literacy in Maintenance Hemodialysis Patients: A Multi-Center Cross-Sectional Study
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| Title: | e-Health Literacy in Maintenance Hemodialysis Patients: A Multi-Center Cross-Sectional Study |
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| Authors: | Han X, Yang L, Zhang H |
| Source: | Patient Preference and Adherence, Vol 19, Iss Issue 1, Pp 3339-3348 (2025) |
| Publisher Information: | Dove Medical Press, 2025. |
| Publication Year: | 2025 |
| Collection: | LCC:Medicine (General) |
| Subject Terms: | end-stage kidney disease, hemodialysis, health literacy, cross-sectional study, quality of life, Medicine (General), R5-920 |
| Description: | Xuejiao Han, Lan Yang, Hong Zhang Department of Nephrology, Baoding No. 1 Central Hospital, Baoding, Hebei, People’s Republic of ChinaCorrespondence: Lan Yang, Department of Nephrology, Baoding No. 1 Central Hospital, Baoding Great Wall North Street No. 320, Baoding, Hebei, 071000, People’s Republic of China, Email Yl18617789859@sina.comObjective: This cross-sectional study aimed to explore the level of electronic health literacy (e-HL) among maintenance hemodialysis (MHD) patients and identify its influencing factors.Methods: A cross-sectional survey was conducted from June to October 2024, involving 350 MHD patients from three tertiary hospitals in Baoding, Hebei Province, China. The e-Health Literacy Scale (e-HEALS) was used to assess the patients’ e-HL levels across its three domains: application ability, judgement ability, and decision-making ability. Univariate analysis and generalized linear regression models were employed to analyze the factors influencing e-HEALS scores. The Cronbach’s α for the e-HEALS in this study was 0.966.Results: The results revealed that the average e-HEALS score among MHD patients was 29.58 ± 4.87, indicating a moderate to low level of e-HL. Generalized linear regression analysis identified education level, monthly income, and medical payment methods as independent influencing factors of e-HL.Conclusion: The findings suggest that MHD patients generally exhibit sub-optimal e-HL, highlighting the need for healthcare providers, particularly nephrology professionals, to pay attention to this issue. Targeted interventions should be developed to enhance e-HL, thereby empowering patients to better manage their health conditions.Keywords: end-stage kidney disease, hemodialysis, health literacy, cross-sectional study, quality of life |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1177-889X |
| Relation: | https://www.dovepress.com/e-health-literacy-in-maintenance-hemodialysis-patients-a-multi-center--peer-reviewed-fulltext-article-PPA; https://doaj.org/toc/1177-889X |
| Access URL: | https://doaj.org/article/44896bfc40364134838016b3f25bc410 |
| Accession Number: | edsdoj.44896bfc40364134838016b3f25bc410 |
| Database: | Directory of Open Access Journals |
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Nájsť tento článok vo Web of Science | Abstract: | Xuejiao Han, Lan Yang, Hong Zhang Department of Nephrology, Baoding No. 1 Central Hospital, Baoding, Hebei, People’s Republic of ChinaCorrespondence: Lan Yang, Department of Nephrology, Baoding No. 1 Central Hospital, Baoding Great Wall North Street No. 320, Baoding, Hebei, 071000, People’s Republic of China, Email Yl18617789859@sina.comObjective: This cross-sectional study aimed to explore the level of electronic health literacy (e-HL) among maintenance hemodialysis (MHD) patients and identify its influencing factors.Methods: A cross-sectional survey was conducted from June to October 2024, involving 350 MHD patients from three tertiary hospitals in Baoding, Hebei Province, China. The e-Health Literacy Scale (e-HEALS) was used to assess the patients’ e-HL levels across its three domains: application ability, judgement ability, and decision-making ability. Univariate analysis and generalized linear regression models were employed to analyze the factors influencing e-HEALS scores. The Cronbach’s α for the e-HEALS in this study was 0.966.Results: The results revealed that the average e-HEALS score among MHD patients was 29.58 ± 4.87, indicating a moderate to low level of e-HL. Generalized linear regression analysis identified education level, monthly income, and medical payment methods as independent influencing factors of e-HL.Conclusion: The findings suggest that MHD patients generally exhibit sub-optimal e-HL, highlighting the need for healthcare providers, particularly nephrology professionals, to pay attention to this issue. Targeted interventions should be developed to enhance e-HL, thereby empowering patients to better manage their health conditions.Keywords: end-stage kidney disease, hemodialysis, health literacy, cross-sectional study, quality of life |
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| ISSN: | 1177889X |