eHealth literacy in the general population: a cross-sectional study in China

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Abstract

Background

eHealth literacy (eHL) is positively associated with health-related behaviors and outcomes. Previous eHL studies primarily collected data from online users and seldom focused on the general population in low- and middle-income countries (LMIC). Additionally, knowledge about factors that affect eHL is limited. Chronic lung disease (CLD) has brought a large burden in LMIC, making it a relevant example for studying eHL. This study aims to explore eHL and its associated factors within the general population of China, encompassing sociodemographic characteristics, CLD knowledge, digital access, eHealth use and attitudes towards eHealth.

Method

Data were collected from November 2023 to January 2024 via online and hard-copy questionnaires among the general population in China. Descriptive analyses were performed to explore eHL, CLD knowledge, digital access, and attitudes towards eHealth at different sociodemographic levels. Univariable and multivariable regression analyses were performed to identify factors associated with eHL.

Results

439 valid questionnaires were collected. Participants demonstrated a mean eHL of 24.7 ± 8.2 and CLD knowledge of 5.9 ± 3.7, obtained a score of 6.9 ± 1.8 in attitudes towards eHealth. A notable percentage of participants (45/439, 10.3%) reported no digital access, especially those aged 66+, the unemployed, retired, those with a primary school or below degree and earning ≤ 1500 RMB monthly. Multivariable hierarchical regression analysis showed higher eHL was uniquely associated with younger age ( b=-0.10, P < .001), higher educational level ( b = 2.02, P < .001), higher income ( b = 1.10, P < .001), having digital access ( b = 6.35, P < .001), more frequent eHealth use ( b = 1.14, P < .001), and more positive attitudes towards eHealth ( b = 0.47, P = .003).

Conclusion

Our sample from the general population in China had a relatively low eHL and CLD knowledge level, but held a positive attitudes towards eHealth. A digital divide was noticed between the elderly, low socioeconomic population and other groups. Younger age, higher educational and income level, having digital access, more frequent eHealth use and more positive attitudes towards eHealth were significantly associated with higher eHL. Efforts at both individual and systematic levels should be made to improve eHL, and promote CLD knowledge and digital access, especially in disadvantaged populations. Moreover, there is a pressing need to develop and refine national and international standards for eHL.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-025-21389-0.

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Most cited references 63

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Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Joan B Soriano, Parkes J Kendrick, Katherine R Paulson … (2020)

Summary Background Previous attempts to characterise the burden of chronic respiratory diseases have focused only on specific disease conditions, such as chronic obstructive pulmonary disease (COPD) or asthma. In this study, we aimed to characterise the burden of chronic respiratory diseases globally, providing a comprehensive and up-to-date analysis on geographical and time trends from 1990 to 2017. Methods Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, we estimated the prevalence, morbidity, and mortality attributable to chronic respiratory diseases through an analysis of deaths, disability-adjusted life-years (DALYs), and years of life lost (YLL) by GBD super-region, from 1990 to 2017, stratified by age and sex. Specific diseases analysed included asthma, COPD, interstitial lung disease and pulmonary sarcoidosis, pneumoconiosis, and other chronic respiratory diseases. We also assessed the contribution of risk factors (smoking, second-hand smoke, ambient particulate matter and ozone pollution, household air pollution from solid fuels, and occupational risks) to chronic respiratory disease-attributable DALYs. Findings In 2017, 544·9 million people (95% uncertainty interval [UI] 506·9–584·8) worldwide had a chronic respiratory disease, representing an increase of 39·8% compared with 1990. Chronic respiratory disease prevalence showed wide variability across GBD super-regions, with the highest prevalence among both males and females in high-income regions, and the lowest prevalence in sub-Saharan Africa and south Asia. The age-sex-specific prevalence of each chronic respiratory disease in 2017 was also highly variable geographically. Chronic respiratory diseases were the third leading cause of death in 2017 (7·0% [95% UI 6·8–7·2] of all deaths), behind cardiovascular diseases and neoplasms. Deaths due to chronic respiratory diseases numbered 3 914 196 (95% UI 3 790 578–4 044 819) in 2017, an increase of 18·0% since 1990, while total DALYs increased by 13·3%. However, when accounting for ageing and population growth, declines were observed in age-standardised prevalence (14·3% decrease), age-standardised death rates (42·6%), and age-standardised DALY rates (38·2%). In males and females, most chronic respiratory disease-attributable deaths and DALYs were due to COPD. In regional analyses, mortality rates from chronic respiratory diseases were greatest in south Asia and lowest in sub-Saharan Africa, also across both sexes. Notably, although absolute prevalence was lower in south Asia than in most other super-regions, YLLs due to chronic respiratory diseases across the subcontinent were the highest in the world. Death rates due to interstitial lung disease and pulmonary sarcoidosis were greater than those due to pneumoconiosis in all super-regions. Smoking was the leading risk factor for chronic respiratory disease-related disability across all regions for men. Among women, household air pollution from solid fuels was the predominant risk factor for chronic respiratory diseases in south Asia and sub-Saharan Africa, while ambient particulate matter represented the leading risk factor in southeast Asia, east Asia, and Oceania, and in the Middle East and north Africa super-region. Interpretation Our study shows that chronic respiratory diseases remain a leading cause of death and disability worldwide, with growth in absolute numbers but sharp declines in several age-standardised estimators since 1990. Premature mortality from chronic respiratory diseases seems to be highest in regions with less-resourced health systems on a per-capita basis. Funding Bill & Melinda Gates Foundation.

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Discovering Statistics Using SPSS

Andy Field (2009)

Written in his vivid and entertaining style, Andy Field provides students with everything they need to understand, use and report statistics—at every level—in the Third Edition of Discovering Statistics Using SPSS. Retaining the strong pedagogy from previous editions, he makes statistics meaningful by including playful examples from everyday student life (among other places), creating a gateway into the often intimidating world of statistics. In the process, he presents an opportunity for students to ground their knowledge of statistics through the use of SPSS.

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eHEALS: The eHealth Literacy Scale

Cameron Norman, Harvey A Skinner (2006)

Background Electronic health resources are helpful only when people are able to use them, yet there remain few tools available to assess consumers’ capacity for engaging in eHealth. Over 40% of US and Canadian adults have low basic literacy levels, suggesting that eHealth resources are likely to be inaccessible to large segments of the population. Using information technology for health requires eHealth literacy—the ability to read, use computers, search for information, understand health information, and put it into context. The eHealth Literacy Scale (eHEALS) was designed (1) to assess consumers’ perceived skills at using information technology for health and (2) to aid in determining the fit between eHealth programs and consumers. Objectives The eHEALS is an 8-item measure of eHealth literacy developed to measure consumers’ combined knowledge, comfort, and perceived skills at finding, evaluating, and applying electronic health information to health problems. The objective of the study was to psychometrically evaluate the properties of the eHEALS within a population context. A youth population was chosen as the focus for the initial development primarily because they have high levels of eHealth use and familiarity with information technology tools. Methods Data were collected at baseline, post-intervention, and 3- and 6-month follow-up using control group data as part of a single session, randomized intervention trial evaluating Web-based eHealth programs. Scale reliability was tested using item analysis for internal consistency (coefficient alpha) and test-retest reliability estimates. Principal components factor analysis was used to determine the theoretical fit of the measures with the data. Results A total of 664 participants (370 boys; 294 girls) aged 13 to 21 (mean = 14.95; SD = 1.24) completed the eHEALS at four time points over 6 months. Item analysis was performed on the 8-item scale at baseline, producing a tight fitting scale with α = .88. Item-scale correlations ranged from r = .51 to .76. Test-retest reliability showed modest stability over time from baseline to 6-month follow-up (r = .68 to .40). Principal components analysis produced a single factor solution (56% of variance). Factor loadings ranged from .60 to .84 among the 8 items. Conclusions The eHEALS reliably and consistently captures the eHealth literacy concept in repeated administrations, showing promise as tool for assessing consumer comfort and skill in using information technology for health. Within a clinical environment, the eHEALS has the potential to serve as a means of identifying those who may or may not benefit from referrals to an eHealth intervention or resource. Further research needs to examine the applicability of the eHEALS to other populations and settings while exploring the relationship between eHealth literacy and health care outcomes.

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Author and article information

Contributors

Chao Sun: c.sun@lumc.nl

Journal

Journal ID (nlm-ta): BMC Public Health

Journal ID (iso-abbrev): BMC Public Health

Title: BMC Public Health

Publisher: BioMed Central (London )

ISSN (Electronic): 1471-2458

Publication date (Electronic): 17 January 2025

Publication date PMC-release: 17 January 2025

Publication date Collection: 2025

Volume: 25

Electronic Location Identifier: 211

Affiliations

[1 ]Department of Public Health and Primary Care, Leiden University Medical Centre, ( https://ror.org/05xvt9f17) Hippocratespad 21, Leiden, Netherlands

[2 ]National eHealth Living Lab, Leiden, Netherlands

[3 ]School of Nursing, Wuhan University, ( https://ror.org/033vjfk17) Wuhan, China

Article

Publisher ID: 21389

DOI: 10.1186/s12889-025-21389-0

PMC ID: 11742792

PubMed ID: 39825311

SO-VID: 6defc109-36e8-4875-be0d-56e98816e685

License:

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

History

Date received : 25 July 2024

Date accepted : 9 January 2025

Funding

Funded by: FundRef http://dx.doi.org/10.13039/501100004543, China Scholarship Council;

Award ID: 202206270012

Custom metadata

ScienceOpen disciplines: Public health

Keywords: ehealth literacy,general population,chronic lung disease,digital access,digital divide,knowledge,attitude

Data availability: