Evidence map›Paper›PMID 36447176›Full record

ArticleBMC public health2022

Associations between e-health literacy and chronic disease self-management in older Chinese patients with chronic non-communicable diseases: a mediation analysis.

Ying Wu, Jing Wen, Xiaohui Wang, Qingyao Wang, Wen Wang, Xiangjia Wang, Jiang Xie, Li Cong

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. The level of electronic health literacy among older adults: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2024
    Pooled it
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  9. The validation of the CarerQol instrument and factors associated with quality of life among informal caregivers of disabled older adults in China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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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 Wu *School of Medicine, Hunan Normal University, Changsha, 410013, People's Republic of China.
Jing Wen *School of Medicine, Hunan Normal University, Changsha, 410013, People's Republic of China.
Xiaohui WangSchool of Medicine, Hunan Normal University, Changsha, 410013, People's Republic of China.
Qingyao WangSchool of Medicine, Hunan Normal University, Changsha, 410013, People's Republic of China.
Wen WangXiangya Hospital, Central South University, Changsha, 41008, People's Republic of China.
Xiangjia WangSchool of Medicine, Hunan Normal University, Changsha, 410013, People's Republic of China.
Jiang XieSchool of Medicine, Hunan Normal University, Changsha, 410013, People's Republic of China.
Li CongSchool of Medicine, Hunan Normal University, Changsha, 410013, People's Republic of China. congli@hunnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic non-communicable diseases (CNCDs) are an urgent public health issue in China, especially among older adults. Hence, self-management is crucial for disease progression and treatment. Electronic health (e-health) literacy and self-efficacy positively correlate with self-management. However, we know little about their underlying mechanisms in older adults with CNCDs.

objectiveTo explore the factors that influence chronic disease self-management (CDSM) and verify self-efficacy as the mediator between e-health literacy and self-management behavior in older patients with CNCDs.

methodsThis cross-sectional study included 289 older patients with CNCDs from Hunan province, China, between July and November 2021. E-health literacy, self-efficacy, social support, and CDSM data were collected through questionnaires. The influence of each factor on CDSM was explored with multiple linear regression analysis. Intermediary effects were computed via a structural equation model.

resultsThe total CDSM score in the patients was 29.39 ± 9.60 and only 46 (15.92%) patients used smart healthcare devices. The regression analysis showed e-health literacy, self-efficacy, and social support were the factors that affected CDSM. Furthermore, the structural equation model revealed that self-efficacy directly affected CDSM (β = 0.45, P < 0.01), whereas e-health literacy affected it directly (β = 0.42, P < 0.01) and indirectly (β = 0.429, P < 0.01) through self-efficacy.

conclusionsThis study revealed that self-management among older patients with CNCDs is at a low level, and few of them use smart healthcare devices. Self-efficacy plays a partial intermediary role between e-health literacy and self-management in older patients with CNCDs. Thus, efforts to improve their CDSM by targeting e-health literacy may be more effective when considering self-efficacy.

Indexed as

Health LiteracyNoncommunicable DiseasesSelf-ManagementAgedChinaChronic DiseaseCross-Sectional StudiesElectronicsHumansMediation AnalysisPersistent InfectionChronic non-communicable diseasesE-health literacyMediation analysisSelf-efficacySelf-management

Identifiers

PMID36447176
PMCPMC9710041

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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.