Evidence map›Paper›PMID 36333750›Full record

ArticleBMC nursing2022

Development and psychometric evaluation of a new brief scale to measure eHealth literacy in people with type 2 diabetes.

Eun-Hyun Lee, Young Whee Lee, Kwan-Woo Lee, Hae Jin Kim, Seongbin Hong, So Hun Kim, Eun Hee Kang

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Article in BMC nursing, 2022. 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
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  7. The Development and Psychometric Testing of the Scale of Cultural Sensitivity of Health Care Professionals in Japan.Journal of transcultural nursing : official journal of the Transcultural Nursing Society · 2024
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4 · The record

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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

7 authors.

Eun-Hyun LeeGraduate School of Public Health, Ajou University, 164 Worldcup-ro, Yeongtong-gu, 16499, Suwon, Gyeonggi-do, Republic of Korea. ehlee@ajou.ac.kr.
Young Whee LeeDepartment of Nursing, Inha University, Incheon, Republic of Korea.
Kwan-Woo LeeDepartment of Endocrinology and Metabolism, School of Medicine, Ajou University, Suwon, Republic of Korea.
Hae Jin KimDepartment of Endocrinology and Metabolism, School of Medicine, Ajou University, Suwon, Republic of Korea.
Seongbin HongDepartment of Internal Medicine, School of Medicine, Inha University, Incheon, Republic of Korea.
So Hun KimDepartment of Internal Medicine, School of Medicine, Inha University, Incheon, Republic of Korea.
Eun Hee KangGraduate School of Public Health, Ajou University, 164 Worldcup-ro, Yeongtong-gu, 16499, Suwon, Gyeonggi-do, Republic of Korea.

Funding

National Research Foundation of Korea 2021R1A2B5B01001603
6 · The paper itself

Abstract

backgroundThe internet has become a major source of health information, and obtaining appropriate information requires various abilities and skills, labeled as electronic health literacy (eHealth literacy). The existing instruments for measuring eHealth literacy are outdated because they were developed during the Web 1.0 era, or not sufficiently sensitive for people with a specific condition or disease because they were designed to assess eHealth literacy over a broad range for a general population. Approximately one in ten adults worldwide live with diabetes. Health professionals have a responsibility to identify patients with low eHealth literacy to prevent them from obtaining misleading internet diabetes information.

aimsThe aims were to develop a condition-specific eHealth literacy scale for diabetes and to evaluate its psychometric properties among people with type 2 diabetes.

methodsAn instrument development design was used. This study recruited 453 people diagnosed with type 2 diabetes at the outpatient clinics of hospitals in 2021. Psychometric properties (internal consistency, measurement invariance, and content, structural, convergent, and known-groups validities) were analyzed.

resultsAn expert panel assessed content validity. Exploratory factor analysis, exploratory graph analysis, and confirmatory factor analysis (CFA) for structural validity yielded a two-factor solution (CFI = 0.977, SRMR = 0.029, RMSEA = 0.077). Cronbach's alpha and omega values were excellent for each factor (0.87-0.94). Multigroup CFA yielded configural and metric measurement invariance across the gender, age, and glycemic control status groups. Convergent validity with a comparator instrument to measure health literacy was supported by a moderate correlation, and known-groups validity determined using groups with different internet-use frequencies was satisfied with a high effect size.

conclusionA new condition-specific eHealth literacy scale for people with type 2 diabetes was developed, comprising 10 items. The scale exhibited good psychometric properties; however, test-retest reliability must be determined for the stability of the scale and cross-cultural validity is required among different languages. The brief scale has the merits of being feasible to use in busy clinical practice and being less burdensome to respondents. The scale can be applied in clinical trials of internet-based diabetes interventions for assessing the eHealth literacy of respondents.

Indexed as

DiabetesElectronic health literacyInstrumentPsychometricsScale

Identifiers

PMID36333750
PMCPMC9635185

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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.