The HLS19-COM-P, a New Instrument for Measuring Communicative Health Literacy in Interaction with Physicians: Development and Validation in Nine European Countries

Specific Medication Literacy in Older Adults with Asthma

Purpose

To explore specific medication literacy (SML) of older adults and associations of SML strength.

Methods

This was an observational study. Participants were at least 60 years old, with an asthma diagnosis and in good health. Data were collected by a registered nurse researcher. The SML data collection instrument gathered information about each medication a participant used: name, purpose, how taken, special instructions, adverse effects, and drug-drug or drug-disease interactions. An SML scoring rubric was developed.

Results

All could provide name, and most provided purpose, how taken. The lowest SML domains were side effects and interactions. Age at time of asthma diagnosis correlated with stronger SML scores and living in a disadvantaged neighborhood correlated with lower SML scores.

Discussion

Gaps in medication literacy may create less ability to self-monitor. Patients want medication literacy but struggle with appropriate, individualized, information.

Conclusion

The study provides insights on gaps and opportunities for SML.

Assessment Tools for Measuring Health Literacy and Digital Health Literacy in a Hospital Setting: A Scoping Review

Assessment of (digital) health literacy in the hospital can raise staff awareness and facilitate tailored communication, leading to improved health outcomes. Assessment tools should ideally address multiple domains of health literacy, fit to the complex hospital context and have a short administration time, to enable routine assessment. This review aims to create an overview of tools for measuring (digital) health literacy in hospitals. A search in Scopus, PubMed, WoS and CINAHL, following PRISMA guidelines, generated 7252 hits; 251 studies were included in which 44 assessment tools were used. Most tools (57%) were self-reported and 27% reported an administration time of <5 min. Almost all tools addressed the domain 'understanding' (98%), followed by 'access' (52%), 'apply' (50%), 'appraise' (32%), 'numeracy' (18%), and 'digital' (18%). Only four tools were frequently used: the Newest Vital Sign (NVS), the Short Test of Functional Health Literacy for Adults ((S)TOFHLA), the Brief Health Literacy Screener (BHLS), and the Health Literacy Questionnaire (HLQ). While the NVS and BHLS have a low administration time, they cover only two domains. HLQ covers the most domains: access, understanding, appraise, and apply. None of these four most frequently used tools measured digital skills. This review can guide health professionals in choosing an instrument that is feasible in their daily practice, and measures the required domains.

Health literacy and the role of social support in different age groups: results of a German cross-sectional survey

BACKGROUND

Scholars demand more focus on context-related factors of health literacy as the management of health information is seen as a social practice. One prominent factor is social support that is expected to be particularly relevant for persons vulnerable for low health literacy. It was shown that health literacy can differ across the life span and especially older people have been demonstrated to be vulnerable for low health literacy. Therefore, health literacy and the relation of social support on health literacy in different age groups should be investigated.

METHODS

In a German nationwide survey 2,151 adults were interviewed face-to-face. General comprehensive health literacy was measured with the HLS19-Q47 which differentiates single steps of health information management - access, understand, appraise, and apply. Social support was measured with the Oslo 3 Social Support Scale. Bivariate and multivariate analyses were performed for all respondents and for five age groups.

RESULTS

Health literacy is relatively low in all age groups but particularly low among old-old people (76 + years). Also, the youngest adults (18-29 years) have slightly lower health literacy than middle-aged adults. On average, health literacy is higher among people with higher social support but this association varies between age groups. It tends to be quite strong among younger adults (18-45 years) and young-old persons (65-75 years) but is weak among older middle-aged (46-64 years) and old-old persons. The association also differs between steps of information management. It is stronger for accessing and applying information but there are differences in age groups as well.

CONCLUSIONS

Social support is a relevant aspect to improve individuals' health literacy and therefore should be addressed in interventions. However, it is necessary to differentiate between age groups. While both young adults and particularly old-old persons are challenged by health information management, young adults can strongly profit from social support whereas it can barely compensate the low health literacy of old-old persons. In addition, different challenges in information management steps in different age groups need to be considered when designing health literacy interventions. Thus, target group specific services and programs are needed.

HLS19-NAV-Validation of a New Instrument Measuring Navigational Health Literacy in Eight European Countries

To manoeuvre a complex and fragmented health care system, people need sufficient navigational health literacy (NAV-HL). The objective of this study was to validate the HLS19-NAV measurement scale applied in the European Health Literacy Population Survey 2019-2021 (HLS19). From December 2019 to January 2021, data on NAV-HL was collected in eight European countries. The HLS19-NAV was translated into seven languages and successfully applied in and validated for eight countries, where language and survey method differed. The psychometric properties of the scale were assessed using confirmatory factor analysis (CFA) and Rasch modelling. The tested CFA models sufficiently well described the observed correlation structures. In most countries, the NAV-HL data displayed acceptable fit to the unidimensional Rasch partial credit model (PCM). For some countries, some items showed poor data-model fit when tested against the PCM, and some items displayed differential item functioning for selected person factors. The HLS19-NAV demonstrated high internal consistency. To ensure content validity, the HLS19-NAV was developed based on a conceptual framework. As an estimate of discriminant validity, the Pearson correlations between the NAV-HL and general health literacy (GEN-HL) scales were computed. Concurrent predictive validity was estimated by testing whether the HLS19-NAV, like general HL measures, follows a social gradient and whether it forms a predictor of general health status as a health-related outcome of general HL. In some countries, adjustments at the item level may be beneficial.