Cited by 133Technology Use by Older AdultsHealth Literacy and Information AccessibilityDigital literacy in education

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index; none of the 30 sources its claims cite is checked for support yet.

Current status and influencing factors of digital health literacy among community-dwelling older adults in Southwest China: a cross-sectional study

Open access
Liu, Siqi, Zhao, Hongyan, Fu, Jingjing, Kong, Dehui, Zhong, Zhu, Hong, Yan, Tan, Jing, Luo, Yu·2022·BMC Public Health

Abstract

Background: The rapid development of digital health has reduced the time and cost of medical treatment, bringing efficient and economical benefits. However, older adults all over the world are deficient in digital health knowledge and skills to varying degrees. This study intends to investigate the current status and influencing factors of digital health literacy among community-dwelling older adults in Southwest China, so as to provide theoretical reference for global digital health researches and the construction of gerontological digital health service models. Methods: A cross-sectional survey was conducted from September 2020 to April 2021 in Chongqing, China. 572 community-dwelling older adults (≥ 65 years) were surveyed by stratified sampling. Data on sociodemographic characteristics, Internet usage, attitude towards Internet health information and digital health literacy were collected. Wherein, the digital health literacy assessment adopted the Digital Health Literacy Assessment Scale for community-dwelling older adults, which was developed by the research group, proven to be with good internal consistency (0.941), split-half reliability (0.889), test–retest reliability (0.941), content validity (0.967), criterion validity (0.938) and construct validity. The influencing factors were explored by univariate analysis and multiple linear regression analysis. Results: The average score of digital health literacy was 37.10 (SD 18.65). Univariate analysis showed that there were statistically significant differences in the comparison of digital health literacy according to 16 variables, such as different age and education levels. Multiple linear regression analysis showed that education level, marital status, self-rated health status, degree of health concerns, duration of Internet usage, time spent using the Internet per day, frequency of Internet usage, frequency of receiving guidance passively from family members, perceived usefulness, perceived ease of use and perceived reliability were positively correlated with digital health literacy, while age and perceived risk were negatively correlated with digital health literacy. Conclusion: The overall digital health literacy of community-dwelling older adults in Southwest China is relatively low. In the future, health professionals should fully consider the diverse influencing factors of digital health literacy, assess individual differences and provide targeted intervention programs. Meanwhile, global public health authorities should integrate health resources effectively, and seek health service models for older adults in line with the development of the digital age to narrow the digital divide.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This cross-sectional study assessed digital health literacy among 572 community-dwelling older adults in Southwest China and found an overall low level, with a mean score of 37.10 (SD 18.65) on a 15–75 scale. Multiple factors, including education, Internet use, family guidance, and attitudes toward Internet health information, were associated with digital health literacy.

Key findings

  • The mean digital health literacy score was 37.10 (SD 18.65), ranging from 15 to 74; the mean item score was 2.47 (SD 1.68), indicating a relatively low perceived level. Dimension scores were highest for acquisition and evaluation ability (2.89, SD 1.71), followed by interaction ability (2.18, SD 1.56) and application ability (1.51, SD 1.03).
  • Univariate analysis found statistically significant differences in digital health literacy for 16 variables, including age, education level, living arrangement, marital status, monthly household income per capita, self-rated health status, health concerns, Internet use duration/frequency/time, family guidance, and perceived usefulness, ease of use, risk, and reliability of Internet health information (P < 0.01).
  • Multiple linear regression showed 13 factors entered the equation, jointly accounting for 83.5% of the total variation (adjusted R² = 0.835; F = 222.510, P < 0.001). Education level, marital status, self-rated health status, health concerns, duration of Internet usage, time spent using the Internet per day, frequency of Internet usage, frequency of receiving guidance passively from family members, perceived usefulness, perceived ease of use, and perceived reliability were positively correlated with digital health literacy; age and perceived risk were negatively correlated.
  • More than two-thirds of participants used the Internet (389/572, 68.01%), but 42.48% spent less than 1 h online per day; 51.75% never/seldom actively asked family for help acquiring Internet health information, while 48.43% never/seldom received guidance passively from family members.

Methods

  • A cross-sectional survey was conducted from September 2020 to April 2021 in the main urban areas of Chongqing, China, using stratified sampling. Participants were 572 community-dwelling older adults aged ≥65 years; 600 questionnaires were distributed, 589 collected, and 572 valid questionnaires obtained (effective recovery rate 95.33%).
  • Data were collected on sociodemographic characteristics, Internet usage, attitude toward Internet health information, and digital health literacy. Digital health literacy was measured with the Digital Health Literacy Assessment Scale for community-dwelling older adults, a 15-item, 3-dimension scale with a total score range of 15–75; Cronbach’s alpha in this study was 0.959.
  • Analyses included descriptive statistics, t-tests and ANOVA for univariate comparisons, and multiple linear stepwise regression to identify influencing factors; statistical significance was set at 0.05.

Limitations

  • The paper states that digital health literacy was assessed with a self-assessment scale, which inevitably led to self-reported bias and could not fully reflect participants’ actual digital health literacy operation ability; future research should consider additional operational experiments.
  • The paper states that the study only investigated community-dwelling older adults in the main urban areas of Chongqing, China, and that results cannot represent the overall level of community-dwelling older adults in China; additional large-scale studies in other regions are necessary.
  • Evident from the design: the cross-sectional design cannot establish causal direction among the identified associations, though the paper does not explicitly list this as a limitation.

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Integrity signals

Registry

Crossref · 10.1186/s12889-022-13378-4

Cites

50 of 50 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Fig.1 Participant enrollment procedure
Fig.1 Participant enrollment procedureCC BY · PubMed Central

Verification

Claims the paper makes

29 Own result · 18 Not checked yet · 7 Own method · 7 Own interpretation · 1 No basis given

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  • It may state two separate claims as one. 22
  • The quote only partly states this claim. 2
  • Probably not a substantial claim. 16
35 of 35
  • The paper relies on this without support.

    The sample of community-dwelling older adults in Chongqing represents community-dwelling older adults in Southwest China.

    “This study was a cross-sectional study, which was carried out in the main urban areas of Chongqing, China from September 2020 to April 2021.”
  • The paper relies on this without support.

    The lack of knowledge of the overall digital health literacy level of community-dwelling older adults in China hinders the long-term development of digital health and smart elderly care.

    “However, at present, the lack in the knowledge of the overall digital health literacy level of community-dwelling older adults in China virtually hinders the long-term development of digital health and smart elderly care.”
  • The paper relies on this without support.

    This study is the first to use a localized original assessment tool to evaluate digital health literacy among community-dwelling older adults in China.

    “As far as we know, our study is the first attempt to use the localized original assessment tool to evaluate the digital health literacy of community-dwelling older adults in China.”
  • The paper relies on this without support.

    The localized original assessment tool is more in line with the current era context and cultural background than the introduced universal scale, and its results are more targeted and accurate.

    “Compared with the introduced universal scale used in previous studies, it is more in line with the current era context and cultural background, and the results are more targeted and accurate.”
  • The paper relies on this without support.

    China gained full access to the Internet in 1994, later than many developed countries.

    “China gained full access to the Internet in 1994, later than many developed countries.”
  • The paper relies on this without support.

    Older adults failed to keep pace with the emergence and development of the Internet, and some were marginalized by the Internet.

    “Older adults failed to keep pace with the emergence and development of the Internet, some of whom were marginalized by the Internet.”
  • The paper relies on this without support.

    Age-related barriers to technology use have been gradually weakened by high Internet penetration.

    “Age-related barriers to technology use have been gradually weakened by the high Internet penetration.”
  • The paper relies on this without support.

    Under the background of Chinese social culture, older adults often live with their children and grandchildren.

    “Under the background of Chinese social culture, older adults often live with their children and grandchildren.”
8 of 8

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2 of 2

Citations

Cites

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Research works printed but not linked: 4

  1. DeVellis RF. Scale development: theory and application. Chongqing: Chongqing University Press; 2016.
  2. Tang Z, Wang F, Fu H. Development and assessment on the eHealth literacy scale for college students. Chin J Health Educ. 2014;30(1):35–8.
  3. Wu YM, Zhang M, Zhu LY. The research on the evaluation of consumer’s electronic health literacy and application in mobile health. Consum Econ. 2017;33(1):90–6, 55.
  4. Liu SQ, Fu JJ, Kong DH, Zhong Z, Gu CY, Luo Y. Development and reliability and validation test of the digital health literacy assessment scale for the community-dwelling elderly. Chin Nurs Res. 2021;35(23):4169–74. https://doi.org/10.12102/j.issn.1009-6493.2021.23.006. · DOI

Metadata

Authors
Liu, S., Zhao, H., Fu, J., Kong, D., Zhong, Z., Hong, Y., Tan, J., & Luo, Y.
Affiliations
Army Medical University (CN)
Corresponding author
  • Tan, Jing
  • Luo, Yu
Venue
BMC Public Health
Published
2022-05-17
Volume
22
Issue
1
Pages
996-996
ISSN
1471-2458 (ISSN-L)
OpenAlex
W4280523621
Cited by
133
References
50
Citations by year
2026: 43 · 2025: 49 · 2024: 29 · 2023: 10 · 2022: 2
FWCI
37.74
Type
journal article
Language
en
Open access
Locations
  • BMC Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
National Social Science Fund of China (Grant No. 19XRK001)
Topics
  • Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
  • Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
  • Social Sciences › Education › Digital literacy in education
Keywords
digital health literacy, community-dwelling older adults, internet use, perceived usefulness, perceived ease of use, perceived reliability, health concerns, educational attainment, digital divide, Southwest China
MeSH terms
Aged, China, Cross-Sectional Studies, Humans, Surveys and Questionnaires, Reproducibility of Results, Telemedicine, Internet, Independent Living, Health Literacy

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