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Zhao N, Luo X, Zhang H, Dai R, Pan W, Hambly BD, Bao S, Zhu X, Fan J. Cross-Sectional Study on Health Literacy and Internet Accessibility Among Patients With DM in Gansu, China. Front Public Health 2021; 9:692089. [PMID: 34722434 PMCID: PMC8548454 DOI: 10.3389/fpubh.2021.692089] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: To determine the relationship between the health literacy of patients with diabetes mellitus (DM) and the accessibility of internet surfing for information concerning DM. Methods: A multistage stratified sampling method was utilized to conduct a questionnaire survey on DM health literacy and internet accessibility among 1,563 patients with DM in Gansu Province in 2020. Logistic regression was performed to analyze the factors that influence health literacy and internet accessibility; while the chi-square test was used to compare the differences in needs. Results: Among 1,563 valid questionnaires collected with an effective rate of 95.7%, there were 65.4, 66.3, or 51.1% of patients with DM were found to have good health knowledge, attitudes, or practice levels, respectively. Occupation, income, disease course of DM, and accessibility to the internet were the main factors influencing health literacy. Age, residency, occupation, education, income, and family history of DM were the factors influencing accessibility to internet surfing for DM. The expectations from patients with DM for the capacity to obtain DM information from traditional sources or through internet sources was 1,465 (93.7%) or 1,145 (73.3%), respectively. Patients with DM had a 2-fold higher desire to obtain DM health information from internet media if the patients had access to the internet than those without (P < 0.05). Conclusions: The socioeconomic status and access to the internet were the main contributing factors for health literacy, as socioeconomic status is closely related to access to the internet.
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Affiliation(s)
- Na Zhao
- Centre for Evidence-Based Medicine, School of Public Health, Gansu University of Chinese Medicine, Lanzhou, China.,Hospital Infection-Control Department, Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, China
| | - Xifeng Luo
- Department of Public Health, Pingliang Second People's Hospital, Pingliang, China
| | - Hailiang Zhang
- Centre for Evidence-Based Medicine, School of Public Health, Gansu University of Chinese Medicine, Lanzhou, China
| | - Runjing Dai
- Centre for Evidence-Based Medicine, School of Public Health, Gansu University of Chinese Medicine, Lanzhou, China
| | - Weimin Pan
- Department of Mental Health, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Brett D Hambly
- Centre for Evidence-Based Medicine, School of Public Health, Gansu University of Chinese Medicine, Lanzhou, China.,Center for Health Futures, Torrens University Australia, Sydney, NSW, Australia
| | - Shisan Bao
- Centre for Evidence-Based Medicine, School of Public Health, Gansu University of Chinese Medicine, Lanzhou, China
| | - Xiangdong Zhu
- School of Traditional Chinese Medicine, Ningxia Medical University, Yinchuan, China.,Basic Medical School, Gansu University of Chinese Medicine, Lanzhou, China
| | - Jingchun Fan
- Centre for Evidence-Based Medicine, School of Public Health, Gansu University of Chinese Medicine, Lanzhou, China
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