Evidence map›Paper›PMID 39637377›Full record

ArticleJMIR formative research2024

eHealth Literacy and Health-Related Internet Use Among Swedish Primary Health Care Visitors: Cross-Sectional Questionnaire Study.

Anna Sjöström, Senada Hajdarevic, Åsa Hörnsten, Ulf Isaksson

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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.

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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

4 authors.

Anna Sjöström *Department of Nursing, Umea University, Biology Building, Umeå, 90187, Sweden, 46 0702353499.ORCID 0000-0001-6766-2234
Senada Hajdarevic *Department of Nursing, Umea University, Biology Building, Umeå, 90187, Sweden, 46 0702353499.ORCID 0000-0003-0661-8269
Åsa Hörnsten *Department of Nursing, Umea University, Biology Building, Umeå, 90187, Sweden, 46 0702353499.ORCID 0000-0003-1543-6512
Ulf Isaksson *Department of Nursing, Umea University, Biology Building, Umeå, 90187, Sweden, 46 0702353499.ORCID 0000-0001-5191-4599

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digitalization has profoundly transformed health care delivery, especially within primary health care, as a crucial avenue for providing accessible, cost-effective care. While eHealth services are frequently highlighted for improving health care availability and promoting equality, it is essential to recognize that digitalization can inadvertently exclude individuals who lack the prerequisites to use eHealth services, that is, those with low eHealth literacy. Previous research has identified lower eHealth literacy among older individuals, those with lower educational levels, and those who use the internet less frequently. However, in a Swedish context, only a few studies have investigated eHealth literacy. Objective: This study investigated eHealth literacy and its association with health-related internet use and sociodemographic characteristics among primary health care visitors. Methods: This cross-sectional study used a quantitative, descriptive approach. Swedish-speaking patients visiting a primary health care center participated by answering the multidimensional eHealth Literacy Questionnaire (eHLQ) and questions regarding sociodemographic characteristics and internet usage. The study compared mean scores using the Mann-Whitney U test and the Kruskal-Wallis test. A logistic regression analysis also explored the associations between eHealth literacy and significant independent variables identified in the univariate analyses. Results: As a group, the 172 participants rated highest in understanding and engagement with their health (median eHLQ score 3, IQR 2.8-3.4), as well as in feeling secure about the confidentiality of eHealth services (median eHLQ score 3, IQR 2-3), while they rated lower in motivation to use eHealth (median eHLQ score 2.6, IQR 2-3), the suitability of eHealth services to their personal needs (median eHLQ score 2.75, IQR 2-3), and their perceived ability to understand and use health-related internet information (median eHLQ score 2.6, IQR 2-3). The logistic regression analysis identified that lower eHealth literacy was associated with older age, particularly in domains related to finding, understanding, and using health-related internet information (odds ratio [OR] 1.02, 95% CI 1-1.05; P=.03); digital technology use (OR 1.05, 95% CI 1.02-1.08; P<.001); and accessing well-functioning eHealth services (OR 1.02, 95% CI 1-1.05; P=.03). Additionally, in the logistic regression analysis, perceiving health-related internet information as not useful was linked to lower literacy in all eHLQ domains except one. Conclusions: Our findings regarding the primary challenges within our sample underscore the importance of developing and tailoring eHealth services to accommodate users' individual needs better, enhancing motivation for eHealth use, and continuing efforts to improve overall health literacy. These measures, which both eHealth developers and health care professionals should consider, are crucial for addressing the digital divide and expanding access to eHealth services for as many people as possible.

Indexed as

Health LiteracyPrimary Health CareTelemedicineAdultAgedCross-Sectional StudiesFemaleHumansInternet UseMaleMiddle AgedSurveys and QuestionnairesSwedencost-effective caredigital healthdigitalizationeHealtheHealth literacyhealth applicationshealth behaviorshealth literacyhealth-related internet informationinternetpatient participationprimary health carequestionnairewell-being

Identifiers

PMID39637377
PMCPMC11637456

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.