Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

Health literacy is an important construct in population health and healthcare requiring rigorous measurement. The Health Literacy Questionnaire (HLQ), with nine scales, measures a broad perception of health literacy. This study aimed to adapt the HLQ to the Danish setting, and to examine the factor structure, homogeneity, reliability and discriminant validity. The HLQ was adapted using forward–backward translation, consensus conference and cognitive interviews (n = 15). Psychometric properties were examined based on data collected by face-to-face interview (n = 481). Tests included difficulty level, composite scale reliability and confirmatory factor analysis (CFA). Cognitive testing revealed that only minor re-wording was required. The easiest scale to respond to positively was ‘Social support for health’, and the hardest were ‘Navigating the healthcare system’ and ‘Appraisal of health information’. CFA of the individual scales showed acceptably high loadings (range 0.49–0.93). CFA fit statistics after including correlated residuals were good for seven scales, acceptable for one. Composite reliability and Cronbach’s α were >0.8 for all but one scale. A nine-factor CFA model was fitted to items with no cross-loadings or correlated residuals allowed. Given this restricted model, the fit was satisfactory. The HLQ appears robust for its intended application of assessing health literacy in a range of settings. Further work is required to demonstrate sensitivity to measure changes.

JMIR Human Factors - a leading peer-reviewed ehealth journal

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

Background: The increasing number of people living with one or more chronic conditions imposes a growing demand on healthcare providers. One way to handle this challenge is by re-orientating the way care is provided, empower people and increase their ability to manage their condition. This requires, amongst other factors, sufficient level of health literacy (HL) and digital competences among both patients and the healthcare providers, who serve them. The focus of this study is the level of HL, digital literacy (DL), and eHealth literacy (eHL) in nursing students in Denmark. The objective was to examine the level of these three literacies in entry- and graduate-level nursing students and examine sociodemographic characteristics and self-rated health (SRH) associations. Methods: A cross sectional study was conducted among 227 students at entry-level and 139 students at graduate-level from a nursing program. The survey consisted of the health literacy questionnaire (HLQ (nine scales)), the eHealth Literacy Assessment toolkit (eHLA (seven scales)), the eHealth Literacy Questionnaire (eHLQ (seven scales)), questions soliciting sociodemographic data, and a single item assessing the students’ SRH. Pearson’s chi-square test and the Mann-Whitney test were used to examine the differences in HL, DL, and eHL and between groups, and Kendall’s tau-b test to examine correlations between SRH and HL, DL, and eHL. Results: The level of HL, DL and eHL tended to be higher among graduate-level students than in entry-level students and was satisfactory. Age, sex, country of origin, and parents’ educational level and occupational background influenced students’ HL levels. SRH was higher in students at the graduate level. Amongst entry-level students, SRH was positively associated to seven HLQ, four EHLA and four eHLQ, amongst graduate-level students, SRH was positively associated to seven HLQ and six eHLQ. Conclusions: Educators must be aware of how sociodemographic factors affects students’ literacies and increase learning opportunities by mixing students when planning activities. Considering the higher SRH in graduate-level students, HL, DL, and eHL levels indicate that current curricula and study activities are appropriate, but there is still room for improvement.

The increasing use of digital services and technologies in health care calls for effective tools to evaluate the users’ eHealth literacy in order to better understand the users’ interaction with health technologies. We here present a systematic review of existing tools to measure eHealth literacy and for what these tools have been used to investigate. We identified eight tools, of which three of them are bases upon a conceptual model of eHealth literacy and the remaining five are dual tools, i.a. comprised of individual measures for health literacy and digital literacy. Of these eight tools, only one tool (The eHealth literacy Scale - eHEALS) was used in other studies than the one it was originally published in. eHEALS has primarily been used to establish eHealth literacy levels in different populations. Five of the studies have been conducted by examining eHealth literacy’s impact on health outcomes, and one study has established an association between high eHealth literacy levels and increased likelihood of attending colorectal cancer screenings in a Japanese population. The two other concept-based tools, eHLS and PRE-HIT, reflect an elaborated understanding of eHealth literacy. The five dual tools were primarily used to screen for adequate and inadequate health literacy and digital literacy. In conclusion, there is very little knowledge about individuals’ eHealth literacy and how it relates to health outcomes or the clinical course of specific diseases. New tools developed for the new age of social media and new technologies should be used as eHEALS may have some limitations.