Evidence map›Paper›PMID 39259181›Full record

ArticleJMIR public health and surveillance2024

Urban-Rural Differences in the Association of eHealth Literacy With Medication Adherence Among Older People With Frailty and Prefrailty: Cross-Sectional Study.

Ying Guo, Zixuan Hong, Chenglin Cao, Wenwen Cao, Ren Chen, Jing Yan, Zhi Hu, Zhongliang Bai

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. eHealth Literacy Assessment Instruments: Scoping Review.Journal of medical Internet research · 2025
    Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ying Guo *Department of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China.ORCID 0009-0006-5662-2601
Zixuan Hong *Department of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China.ORCID 0009-0007-4408-5113
Chenglin CaoDepartment of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China.ORCID 0009-0002-4715-8123
Wenwen CaoDepartment of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China.ORCID 0000-0002-1554-3847
Ren ChenDepartment of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China.ORCID 0000-0003-3626-9450
Jing YanDepartment of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China.ORCID 0000-0002-8470-7315
Zhi HuDepartment of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China.ORCID 0000-0001-5454-0422
Zhongliang BaiDepartment of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China.ORCID 0000-0003-0097-3622

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With advances in science and technology and improvements in health literacy, more studies have focused on frailty prevention by promoting medication adherence, emphasizing the role of eHealth literacy. However, the association between eHealth literacy and medication adherence in frail older adults has not been well studied, and it is unknown whether urban-rural differences exist in this relationship. Objective: This study aims to examine the relationship between eHealth literacy and medication adherence in older people with different frailty statuses, emphasizing variations between rural and urban areas. Methods: Between November and December 2020, a total of 4218 urban and rural community members (aged ≥60 years) in China were recruited as participants using a multistage random sampling method. A face-to-face structured questionnaire survey was conducted to collect information on demographic characteristics, eHealth literacy (consisting of application, evaluation, and decision dimensions), and medication adherence. eHealth literacy was assessed using the Chinese version of the eHealth Literacy Scale developed by Norman and Skinner, and medication adherence was measured using the 4-item Morisky scale. We used a general descriptive analysis and stratified logistic regression models to examine how eHealth literacy is linked to medication adherence and urban-rural differences. Results: There were 4218 respondents, of which 2316 (54.9%) lived in urban areas and 1902 (45.1%) in rural areas, respectively. After adjusting for potential confounders, among participants with prefrailty, eHealth literacy was associated with medication adherence in urban areas in terms of less application (adjusted odds ratio [AOR] 1.16, 95% CI 0.82-1.63), less evaluation (AOR 1.29, 95% CI 0.92-1.81), and less decision ability (AOR 1.20, 95% CI 0.86-1.68); eHealth literacy was linked with medication adherence in the rural areas in terms of less application (AOR 1.10, 95% CI 0.56-2.13), less evaluation (AOR 1.05, 95% CI 0.61-1.79), and less decision ability (AOR 1.10, 95% CI 0.64-1.90). Among frail participants, less eHealth literacy (AOR 0.85, 95% CI 0.48-1.51), along with its dimensions, including less application (AOR 0.85, 95% CI 0.47-1.54), evaluation (AOR 0.89, 95% CI 0.50-1.57), and decision ability (AOR 0.99, 95% CI 0.55-1.76), were associated with medication adherence in urban areas; less eHealth literacy (AOR 0.89, 95% CI 0.48-1.65), along with its dimensions, including less application (AOR 1.23, 95% CI 0.62-2.44), evaluation (AOR 0.98, 95% CI 0.53-1.82), and decision ability (AOR 0.90, 95% CI 0.49-1.67), were associated with medication adherence in rural areas. Conclusions: The results of this study suggest that there is an association between eHealth literacy and medication adherence among older people with frailty and prefrailty. To promote medication adherence, eHealth literacy can be helpful in tailoring interventions.

Indexed as

Drug MonitoringHealth LiteracyMedication AdherenceRural PopulationTelemedicineUrban PopulationAgedAged, 80 and overChinaCross-Sectional StudiesFemaleFrail ElderlyFrailtyHumansMaleMiddle AgedChinaeHealth literacyfrailtymedication adherenceolder people

Identifiers

PMID39259181
PMCPMC11409828

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.