Current status of electronic health literacy among pregnant women with gestational diabetes mellitus and their perceptions of online health information: a mixed-methods study

BACKGROUND

Women diagnosed with gestational diabetes mellitus often rely on internet-based health information for managing their condition. This study aims to investigate the present state of electronic health literacy among women with gestational diabetes mellitus, analyze the influencing factors, and explore their experiences regarding accessing, comprehending, evaluating, and applying online health information pertinent to gestational diabetes mellitus.

METHODS

A sequential explanatory mixed methods research design was adopted in this study. Initially, 235 women with gestational diabetes mellitus participated in a cross-sectional survey. The research tools included general information and the Chinese version of the electronic Health Literacy Scale (eHEALS). Descriptive analyses were conducted to describe the characteristics of the sample, and multiple linear regression analyses were used to explore the factors influencing electronic health literacy among women with gestational diabetes mellitus. Secondly, 11 women with gestational diabetes mellitus joined semi-structured in-depth interviews to obtain their perceptions about online health information. The data were analyzed using inductive content analysis to develop themes.

RESULTS

The median score of eHEALS in the Chinese version among 235 women diagnosed with gestational diabetes mellitus was 29 (interquartile range [IQR], 26 to 32). Factors influencing electronic health literacy among these women included accessing health information from medical professionals (β = 0.137, p = 0.029) and utilizing health information from applications (β = 0.159, p = 0.013). From the qualitative phase of the study, four thematic categories emerged: reasons and basis for accessing health information from the Internet; address barriers to accessing and applying online health information; desires for a higher level of online health information services; outcomes of accessing and applying online health information.

CONCLUSION

The electronic health literacy of women diagnosed with gestational diabetes mellitus remains suboptimal and warrants improvement. The sources of access to health information affect electronic health literacy in women with gestational diabetes mellitus. Moreover, women facing gestational diabetes encounter numerous impediments when attempting to access health-related information online, underscoring the necessity for enhanced online health information services to meet their needs.

Validation of the eHEALTH Literacy Scale (Eheals) With Military Service Members

INTRODUCTION

Medical readiness of individual service members (SMs) is an integral component of operational readiness. Electronic Health (eHealth) literacy, here defined as the ability to seek out, find, evaluate, and appraise, integrate, and apply what is gained in electronic environments toward solving a health problem, is a key skill to enhance individual medical readiness. The World Health Organization (WHO) has identified health literacy as an important social determinant of health. The Internet enables individuals to access information virtually anywhere, at any place, any time, which is especially beneficial for SMs who serve around the globe, often isolated from modern health care facilities.

MATERIALS AND METHODS

This study examined the utility of the eHealth literacy scale (eHeals) as a potentially valuable tool to assist commanders and medical teams for assessing the health literacy of SMs. The main objective of our study was to examine the validity of the three-factor eHEALS measure for an active duty sample, using confirmatory factorial analysis.

RESULTS

Our findings support the validity of the eHEALS measure of electronic health literacy among military SMs, potentially identifying a means of measuring SMs' health literacy, and a target for intervention to increase medical readiness, well-being, and overall quality of life for individual SMs.

CONCLUSIONS

The study highlights a brief 6-item assessment tool that can quickly and efficiently be added to the current validated health and well-being measures for military personnel. This brief assessment can provide a measure of knowledge, skills, and confidence regarding ehealth information leading to better-informed health care decisions in the military context. These findings are especially relevant given the military's current emphasis on modernization and the need to put people first in order to build the overall team and improve unit effectiveness.

The association and intervention effect between eHealth literacy and lifestyle behaviors among Chinese university students

OBJECTIVE

Our aim was to evaluate the association between eHealth literacy and lifestyle behaviors to intervene among Chinese university students.

METHOD

The Chinese eHealth Literacy Scale (C-eHEALS) questionnaire was used to investigate the eHealth literacy level and association with lifestyle behaviors among Chinese university students. Independent sample t-test and Pearson's correlation coefficient were used by statistical software SPSS v20.

RESULTS

In the first round, 5,151 university students participated in the study, including 71.46% female and 28.54% male, aged 18-22 (93.13%).The average eHealth literacy score was 26.81 ± 5.83. Four lifestyle behaviors (e.g., exercise, smoking, drinking and sleeping) were all significantly correlated with eHealth literacy scores and demonstrated significant differences. In the second investigation (N = 2,939), the average eHealth literacy score was 31.64 ± 6.44, a notable improvement compared with the first investigation.

CONCLUSION

Those in the group with high eHealth literacy scores have a healthier lifestyle than those in the low-score group. Training in eHealth-related resources is a positive measure to improve university students' eHealth literacy.

Factor Structure of the eHEALS

Abstract. The dimensionality of the eHEALS has been the subject of some controversy. Sample populations and language versions vary widely, as do the employed statistical methods to assess dimensionality. In previous research, we assessed the factor structure in two different samples testing 1 vs. 2 and 1 vs. 2 vs. 3 correlated factors. The objective of this reanalysis was to assess whether the 3-factor model fitted better than the 2- and 1-factor models. We analyzed data from a 2009 cross-sectional survey on health literacy in grade 12 ( n = 327) using CFA. All factor models of the eHEALS showed unsatisfactory model fit. A subsequent exploratory bifactor analysis confirmed multidimensionality and indicated that Item 2 was problematic. When this item was excluded from the correlated factor models, model fit improved, and the 3-factor model showed the best fit. The results in our sample of 12th-grade students offer some support to the German eHEALS having a 3-factor structure similar to the results from our previous research in women aged 50. The replicability of the fit pattern in a different sample and setting was limited by diverging results on Item 2.

Network analysis and psychometric properties of the Brazilian version of the eHealth Literacy Scale in a dental clinic setting

BACKGROUND

The eHealth Literacy Scale (eHEALS) has become a standard tool for the evaluation of digital health literacy.

OBJECTIVES

This study aims to examine the validity and reliability of the Brazilian version of the eHEALS in a sample of patients from a dental clinic setting.

MATERIAL AND METHODS

A cross-sectional survey was conducted in a dental setting. The sample included patients from the Dental Clinic of the Dentistry School of the University of São Paulo between September 2019 and March 2020. The underlying structure of the data was exploratorily investigated using Exploratory Graph Analysis, a network analysis method. The internal reliability was assessed using the McDonald's Omega coefficient. Confirmatory Factor Analysis (CFA) was used to assess the fit of the structure identified by the network analysis. Convergent validity was assessed using the Average Variance Extracted, and measurement invariance was examined using nested models in multigroup CFA. Criterion-related validity was examined calculating the latent mean differences between subgroups (genders, age groups, and educational levels).

RESULTS

The sample included 132 adults aged 18 to 82 years (mean 44.7 years). The eHEALS network indicated that items form a single-factor structure. The 1-factor model presented adequate fit (χ2 (18) = 29.873, p < 0.039; R-CFI = 0.997; R-TLI = 0.996; R-RMSEA = 0.032, 90% CI [0.000, 0.052]), good internal reliability, and convergent validity. Configural invariance was found for genders, educational levels, and age groups. Scalar invariance was observed for genders and age, whereas partial scalar invariance was confirmed for education. Participants aged 18 to 45 and those with higher education presented greater latent means for eHEALS subscales. There were no differences between genders.

CONCLUSION

The BR-eHEALS presented good internal reliability, convergent validity, measurement invariance, and was able to discriminate the levels of eHealth literacy among groups with different ages and educational levels. These findings demonstrate that the tool is valid and reliable for use in a dental setting with the Brazilian population.