Psychometric evaluation of the respiratory syncytial virus infection, intensity and impact questionnaire (RSV-iiiQ) in adults.

BACKGROUND: Despite a number of respiratory syncytial virus (RSV) vaccine candidates being tested in clinical trials, disease-specific, self-reported instruments assessing symptom severity of RSV infection from the perspective of adult patients are still needed. The RSV Infection, Intensity and Impact Questionnaire (RSV-iiiQ) was adapted from the Influenza Intensity and Impact Questionnaire (FluiiQ™). This study evaluated some measurement properties of the RSV-iiiQ. METHODS: Data were collected in a web-based survey over two consecutive days. Participants completed the RSV-iiiQ, the Patient Global Impression of Severity, Sheehan Disability Scale, Patient Global Impression of Change, EQ-5D-5L, and a demographic questionnaire. Test-retest reliability, internal consistency, construct validity, and responsiveness of the RSV-iiiQ scales were assessed. RESULTS: 111 adults with RSV were enrolled and self-reported a variety of symptoms across the range of disease severity via a web-based platform. The RSV-iiiQ scales demonstrated satisfactory test-retest reliability, construct validity, and discriminating ability. One-factor confirmatory factor analyses confirmed that each of the four scales was sufficiently unidimensional, and internal consistencies indicated that the computation of RSV-iiiQ scale scores was plausible. Correlation-based analyses provided support for the construct validity of the RSV-iiiQ scores, and known groups analyses supported discriminating ability. Estimates of responsiveness of the scale scores were also satisfactory. CONCLUSIONS: RSV infection is highly symptomatic and causes significant disease burden, and self-report instruments assessing symptom severity and impact are important for evaluation of new treatments. This study describes the preliminary psychometric properties of the RSV-iiiQ and indicates this tool may be useful for the assessment of the severity of symptoms and impact of acute RSV infection in adults. The findings also indicated two items, Runny nose and Ear pain, may be unnecessary and should be revisited using item response theory analysis with a larger sample size.

Measuring health literacy to inform actions to address health inequities: a cluster analysis approach based on the Australian national health literacy survey.

BACKGROUND: Measuring health literacy can inform interventions to address health inequities. This study used cluster analysis to examine health literacy data to determine if it can provide more insightful information than standard descriptive analysis to better inform intervention development. METHODS: Using data from the Australian National Health Survey (2018), this study compared descriptive analysis and cluster analysis results of two states-New South Wales (NSW) and Victoria-generated from the Health Literacy Questionnaire (HLQ). Based on the nine scale scores of the HLQ, a hierarchical cluster analysis using Ward's method for linkage was undertaken. RESULTS: The number of NSW and Victoria respondents was 1018 and 923, respectively. The nine HLQ scale full sample mean scores from both states were similar. However, the cluster analyses identified 11 clusters for NSW and 12 clusters for Victoria. While six clusters from each state presented similar health literacy patterns, five and six clusters from NSW and Victoria, respectively, displayed unique health literacy patterns. CONCLUSIONS: The results demonstrate that descriptive analysis only provides an overview and may lead to one-size-fits-all interventions. The varying health literacy patterns among subgroups resulting from the cluster analysis pave the way to inform tailored actions to improve health equity.

Outcomes of co-designed communities of practice that support members to address public health issues.

Communities of practice are commonly used to support members in responding to public health issues. This study evaluated the outcomes of five co-designed communities of practice to determine if members' expectations were met, if knowledge sharing between members extended to knowledge translation, and if that supported members in addressing public health issues. Data were collected through an initial needs assessment, observations were made during community of practice sessions over 1 year, and qualitative interviews were conducted at the end of that year. The findings provided evidence that members' expectations were met, knowledge sharing took place within the communities of practice, and personal benefits gained supported members in advancing knowledge sharing with other members to knowledge translation outside their community of practice. Results demonstrate three outcomes of knowledge translation for members: disseminating knowledge to others, applying knowledge to make small-scale changes in practice and leveraging the knowledge to expand its reach beyond members' organizations. While the scale and speed of expanding outcomes were below initial expectations as indicated in the initial needs assessments, members remained optimistic about achieving larger-scale impacts in the future. This study showed that communities of practice achieve gradual progress rather than quick wins. Co-design supports the facilitators in meeting members' needs, which can positively contribute to members sharing knowledge and translating that knowledge to support their practice to address public health issues.

Health literacy and older adults: Findings from a national population-based survey.

ISSUE ADDRESSED: With an ageing population and growing complexity and fragmentation of health care systems, health literacy is increasingly important in managing health. This study investigated health literacy strengths and challenges reported by older Australians (people aged 65 or over) and identified how socio-demographic and health factors related to their health literacy profiles. METHODS: The sample comprised 1578 individuals responding to the Australian Government's 2018 Health Literacy Survey, conducted between January and August. Regression modelling was used to estimate the association between each of nine domains of the Health Literacy Questionnaire (HLQ) and individual socio-demographic and health characteristics. The model allowed for correlation between HLQ scores that was linked to unobserved characteristics of individuals. RESULTS: Across the health literacy domains, few individuals received mean scores in the lowest score range. Key individual characteristics associated with higher health literacy were increasing age, English proficiency, higher education levels, better self-assessed health and having certain chronic conditions (cancer, hypertension and arthritis). CONCLUSIONS: Our findings suggest that, among those aged 65 or over, being older or living with chronic illnesses were associated with greater confidence in engaging with providers, accessing information and navigating health services compared to individuals aged 65-69 and those older individuals without chronic illness. Lower health literacy was associated with psychological distress and low English proficiency. SO WHAT?: Interventions to improve individual health literacy and organisation health literacy responsiveness to minimise complexity of the Australian health system are required. This may enhance uptake and use of health information and services for the underserviced members of the community.

Translation, cultural adaptation and validity assessment of the Dutch version of the eHealth Literacy Questionnaire: a mixed-method approach.

BACKGROUND: The digitalization of healthcare requires users to have sufficient competence in using digital health technologies. In the Netherlands, as well as in other countries, there is a need for a comprehensive, person-centered assessment of eHealth literacy to understand and address eHealth literacy related needs, to improve equitable uptake and use of digital health technologies. OBJECTIVE: We aimed to translate and culturally adapt the original eHealth Literacy Questionnaire (eHLQ) to Dutch and to collect initial validity evidence. METHODS: The eHLQ was translated using a systematic approach with forward translation, an item intent matrix, back translation, and consensus meetings with the developer. A validity-driven and multi-study approach was used to collect validity evidence on 1) test content, 2) response processes and 3) internal structure. Cognitive interviews (n = 14) were held to assess test content and response processes (Study 1). A pre-final eHLQ version was completed by 1650 people participating in an eHealth study (Study 2). A seven-factor Confirmatory Factor Analysis (CFA) model was fitted to the data to assess the internal structure of the eHLQ. Invariance testing was performed across gender, age, education and current diagnosis. RESULTS: Cognitive interviews showed some problems in wording, phrasing and resonance with individual's world views. CFA demonstrated an equivalent internal structure to the hypothesized (original) eHLQ with acceptable fit indices. All items loaded substantially on their corresponding latent factors (range 0.51-0.81). The model was partially metric invariant across all subgroups. Comparison of scores between groups showed that people who were younger, higher educated and who had a current diagnosis generally scored higher across domains, however effect sizes were small. Data from both studies were triangulated, resulting in minor refinements to eight items and recommendations on use, score interpretation and reporting. CONCLUSION: The Dutch version of the eHLQ showed strong properties for assessing eHealth literacy in the Dutch context. While ongoing collection of validity evidence is recommended, the evidence presented indicate that the eHLQ can be used by researchers, eHealth developers and policy makers to identify eHealth literacy needs and inform the development of eHealth interventions to ensure that people with limited digital access and skills are not left behind.

Understanding needs and expectations to start effective communities of practice.

BACKGROUND: Communities of practice (CoPs) are frequently used in health settings to enhance knowledge and support action around public health issues. Yet, most are ineffective and often at risk of not delivering on this promise. To prevent loss of time and resources by organisations, facilitators, and members, this paper argues for a reliable assessment of the needs of people who intend to join and to set realistic expectations to assure effective communities of practice. This research proposes a valid and reliable needs assessment and analysis tool for starting communities of practice, by presenting the results of using such a tool. METHODS: Inception needs assessments were developed, tested and administered to 246 respondents entering five communities of practice that focused on one of three public health issues: health literacy, mental health literacy and trauma-informed care. One community of practice had a global audience, four were based in Australia. Data from the needs assessments were analysed qualitatively and supplemented with descriptive statistics. Results were used to develop an analysis tool to support future communities of practice. RESULTS: The short-term expectations of respondents included seeking to increase their knowledge and getting to know other members of the community of practice. Long-term expectations shifted towards undertaking action, collaborating and improving health outcomes. While respondents learning expectations included a wide range of topics, they articulated very specific knowledge they expected to share with others. There were high expectations of receiving practical support from the facilitator and a strong preference for meetings with synchronous interaction. Most respondents who planned to join focused initially on the direct and individual benefits and participation they expected from others, whereas they indicated limited intention to actively contribute to the learning needs of other community members. Respondents appeared to need to take time to build self-confidence and trust, and frequently applied a wait-and-see attitude. CONCLUSIONS: The findings of this study suggest that an inception needs assessment allows members to express their needs and expectations, which directly informs the direction and structure of a community of practice, gives voice to members, and supports facilitators in managing expectations.

Exploring discordance between Health Literacy Questionnaire scores of people with RMDs and assessment by treating health professionals.

OBJECTIVES: We studied discordance between health literacy of people with rheumatic and musculoskeletal diseases (RMDs) and assessment of health literacy by their treating health professionals, and explored whether discordance is associated with the patients' socioeconomic background. METHODS: Patients with RA, spondyloarthritis (SpA) or gout from three Dutch outpatient rheumatology clinics completed the nine-domain Health Literacy Questionnaire (HLQ). Treating health professionals assessed their patients on each HLQ domain. Discordance per domain was defined as a ≥2-point difference on a 0-10 scale (except if both scores were below three or above seven), leading to three categories: 'negative discordance' (i.e. professional scored lower), 'probably the same' or 'positive discordance' (i.e. professional scored higher). We used multivariable multilevel multinomial regression models with patients clustered by health professionals to test associations with socioeconomic factors (age, gender, education level, migration background, employment, disability for work, living alone). RESULTS: We observed considerable discordance (21-40% of patients) across HLQ domains. Most discordance occurred for 'Critically appraising information' (40.5%, domain 5). Comparatively, positive discordance occurred more frequently. Negative discordance was more frequently and strongly associated with socioeconomic factors, specifically lower education level and non-Western migration background (for five HLQ domains). Associations between socioeconomic factors and positive discordance were less consistent. CONCLUSION: Frequent discordance between patients' scores and professionals' estimations indicates there may be hidden challenges in communication and care, which differ between socioeconomic groups. Successfully addressing patients' health literacy needs cannot solely depend on health professionals' estimations but will require measurement and dialogue. VIDEO ABSTRACT: A video abstract of this article can be found at https://www.youtube.com/watch?v=ggnB1rATdQ4.

A general practice intervention for people at risk of poor health outcomes: the Flinders QUEST cluster randomised controlled trial and economic evaluation.

OBJECTIVE: To determine whether a multicomponent general practice intervention cost-effectively improves health outcomes and reduces health service use for patients at high risk of poor health outcomes. DESIGN, SETTING: Clustered randomised controlled trial in general practices in metropolitan Adelaide. PARTICIPANTS: Three age-based groups of patients identified by their general practitioners as being at high risk of poor health outcomes: children and young people (under 18 years), adults (18-64 years) with two or more chronic diseases, and older people (65 years or more). INTERVENTION: Enrolment of patients with a preferred GP, longer general practice appointments, and general practice follow-up within seven days of emergency department and hospital care episodes. Intervention practices received payment of $1000 per enrolled participant. MAIN OUTCOME MEASURES: Primary outcome: change in self-rated health between baseline and 12-month follow-up for control (usual care) and intervention groups. SECONDARY OUTCOMES: numbers of emergency department presentations and hospital admissions, Medicare specialist claims and Pharmaceutical Benefits Scheme (PBS) items supplied, Health Literacy Questionnaire scores, and cost-effectiveness of the intervention (based on the number of quality-adjusted life-years [QALYs] gained over 12 months, derived from EQ-5D-5L utility scores for the two adult groups). RESULTS: Twenty practices with a total of 92 GPs were recruited, and 1044 eligible patients participated. The intervention did not improve self-rated health (coefficient, -0.29; 95% CI, -2.32 to 1.73), nor did it have significant effects on the numbers of emergency department presentations (incidence rate ratio [IRR], 0.90; 95% CI, 0.69-1.17), hospital admissions (IRR, 0.90; 95% CI, 0.66-1.22), Medicare specialist claims (IRR, 1.00; 95% CI, 0.91-1.09), or PBS items supplied (IRR, 0.99; 95% CI, 0.96-1.03), nor on Health Literacy Questionnaire scores. The intervention was effective in terms of QALYs gained (v usual care: difference, 0.032 QALYs; 95% CI, 0.001-0.063), but the incremental cost-effectiveness ratio was $69 585 (95% CI, $22 968-$116 201) per QALY gained, beyond the willingness-to-pay threshold. CONCLUSIONS: Our multicomponent intervention did not improve self-rated health, health service use, or health literacy. It achieved greater improvement in quality of life than usual care, but not cost-effectively. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry, ACTRN12617001589370 (prospective).

Health literacy responsiveness: a cross-sectional study among pregnant women in Denmark.

Aims: Communication barriers in healthcare encounters contribute to ethnic inequality in health outcomes. This study aimed to examine, in a large national Danish sample of women, whether ethnicity was associated with pregnant women's Active engagement with healthcare providers. Methods: A cross-sectional survey of 1898 pregnant women attending 19 Danish maternity wards. The key variable of interest was maternal ethnicity among ethnic Danish, European, African and Asian immigrant women and their descendants. Syrian immigrant women were studied as a subgroup. The outcome was the health literacy questionnaire domain Ability to engage actively with healthcare providers (five-item domain scored from 'cannot do/always difficult' (1) to 'always easy' (5)) which is a reflection of a respondent's lived experiences of engaging with healthcare providers. Adjusted mixed effect multivariate linear regression was used to compare Active engagement across groups expressed as the mean difference (95% confidence interval). Results: Lower means of Active engagement were reported for immigrant women compared to ethnic Danish women in all models. When adjusting for age, parity, complications and occupation, the difference between ethnic Danish women's Active engagement and other groups was smallest among European -0.15 (-0.26 to -0.05), slightly larger in African -0.19 (-0.40 to 0.02), and largest in Asian immigrant women -0.31 (-0.41 to -0.21). Syrian immigrant women had the largest difference -0.42 (-0.58 to -0.27). Conclusions: Pregnant immigrant women reported lower means of Active engagement than ethnic Danish women did. Increased health literacy responsiveness in maternity care is required to mitigate the potential for differential care and health inequity.

The Parent Health Literacy Questionnaire (HLQ-Parent). Adaptation and validity testing with parents of children with epilepsy.

AIMS: The aim of this study was to adapt the Health Literacy Questionnaire (HLQ) in English and Norwegian for use with parents. METHODS: The research group evaluated all HLQ items and, where relevant, modified them to refocus the attribution of care to that of a child by a parent. Five cognitive interviews with parents were undertaken to gain a detailed depiction of the meanings and processes they used to respond to the HLQ items. Assessment of the psychometric properties of the revised HLQ was undertaken using data from a cross-sectional survey of 254 parents of children with epilepsy. Analysis included internal consistency (Cronbach's alpha) and confirmatory factor analysis (CFA). RESULTS: Some 22 out of 44 items and the names of three domains were modified (e.g. attribution changed from 'me' to 'my child'). Cognitive interviews indicated that parents interpreted the HLQ-Parent items in the way intended. All but three factor loadings were high to acceptable. All nine HLQ scales showed satisfactory to good internal consistency (Cronbach's alpha 0.70 to 0.87). When fitting one-factor CFA models, correlated residuals were required for four scales to generate an acceptable fit. One scale, '8. Ability to find good health information', required inclusion of two correlated residuals to generate an acceptable CFA model fit, indicating that further work on this scale is warranted. CONCLUSIONS: The results from both the adaptation process and the CFA analysis supported the relevance, understanding and theoretical structure of the instrument in a parental context.

Validity Evidence of the eHealth Literacy Questionnaire (eHLQ) Part 2: Mixed Methods Approach to Evaluate Test Content, Response Process, and Internal Structure in the Australian Community Health Setting.

BACKGROUND: Digital technologies have changed how we manage our health, and eHealth literacy is needed to engage with health technologies. Any eHealth strategy would be ineffective if users' eHealth literacy needs are not addressed. A robust measure of eHealth literacy is essential for understanding these needs. On the basis of the eHealth Literacy Framework, which identified 7 dimensions of eHealth literacy, the eHealth Literacy Questionnaire (eHLQ) was developed. The tool has demonstrated robust psychometric properties in the Danish setting, but validity testing should be an ongoing and accumulative process. OBJECTIVE: This study aims to evaluate validity evidence based on test content, response process, and internal structure of the eHLQ in the Australian community health setting. METHODS: A mixed methods approach was used with cognitive interviewing conducted to examine evidence on test content and response process, whereas a cross-sectional survey was undertaken for evidence on internal structure. Data were collected at 3 diverse community health sites in Victoria, Australia. Psychometric testing included both the classical test theory and item response theory approaches. Methods included Bayesian structural equation modeling for confirmatory factor analysis, internal consistency and test-retest for reliability, and the Bayesian multiple-indicators, multiple-causes model for testing of differential item functioning. RESULTS: Cognitive interviewing identified only 1 confusing term, which was clarified. All items were easy to read and understood as intended. A total of 525 questionnaires were included for psychometric analysis. All scales were homogenous with composite scale reliability ranging from 0.73 to 0.90. The intraclass correlation coefficient for test-retest reliability for the 7 scales ranged from 0.72 to 0.95. A 7-factor Bayesian structural equation modeling using small variance priors for cross-loadings and residual covariances was fitted to the data, and the model of interest produced a satisfactory fit (posterior productive P=.49, 95% CI for the difference between observed and replicated chi-square values -101.40 to 108.83, prior-posterior productive P=.92). All items loaded on the relevant factor, with loadings ranging from 0.36 to 0.94. No significant cross-loading was found. There was no evidence of differential item functioning for administration format, site area, and health setting. However, discriminant validity was not well established for scales 1, 3, 5, 6, and 7. Item response theory analysis found that all items provided precise information at different trait levels, except for 1 item. All items demonstrated different sensitivity to different trait levels and represented a range of difficulty levels. CONCLUSIONS: The evidence suggests that the eHLQ is a tool with robust psychometric properties and further investigation of discriminant validity is recommended. It is ready to be used to identify eHealth literacy strengths and challenges and assist the development of digital health interventions to ensure that people with limited digital access and skills are not left behind.

Validity Testing and Cultural Adaptation of the eHealth Literacy Questionnaire (eHLQ) Among People With Chronic Diseases in Taiwan: Mixed Methods Study.

BACKGROUND: Advancements in digital technologies seek to promote health and access to services. However, people lacking abilities and confidence to use technology are likely to be left behind, leading to health disparities. In providing digital health services, health care providers need to be aware of users' diverse electronic health (eHealth) literacy to address their particular needs and ensure equitable uptake and use of digital services. To understand such needs, an instrument that captures users' knowledge, skills, trust, motivation, and experiences in relation to technology is required. The eHealth Literacy Questionnaire (eHLQ) is a multidimensional tool with 7 scales covering diverse dimensions of eHealth literacy. The tool was simultaneously developed in English and Danish using a grounded and validity-driven approach and has been shown to have strong psychometric properties. OBJECTIVE: This study aims to translate and culturally adapt the eHLQ for application among Mandarin-speaking people with chronic diseases in Taiwan and then undertake a rigorous set of validity-testing procedures. METHODS: The cross-cultural adaptation of the eHLQ included translation and evaluation of the translations. The measurement properties were assessed using classical test theory and item response theory (IRT) approaches. Content validity, known-group validity, and internal consistency were explored, as well as item characteristic curves (ICCs), item discrimination, and item location/difficulty. RESULTS: The adapted version was reviewed, and a recommended forward translation was confirmed through consensus. The tool exhibited good content validity. A total of 420 people with 1 or more chronic diseases participated in a validity-testing survey. The eHLQ showed good internal consistency (Cronbach α=.75-.95). For known-group validity, all 7 eHLQ scales showed strong associations with education. Unidimensionality and local independence assumptions were met except for scale 2. IRT analysis showed that all items demonstrated good discrimination (range 0.27-12.15) and a good range of difficulty (range 0.59-1.67) except for 2 items in scale 7. CONCLUSIONS: Using a rigorous process, the eHLQ was translated from English into a culturally appropriate tool for use in the Mandarin language. Validity testing provided evidence of satisfactory-to-strong psychometric properties of the eHLQ. The 7 scales are likely to be useful research tools for evaluating digital health interventions and for informing the development of health technology products and interventions that equitably suit diverse users' needs.

Digital Health Literacy as a Predictor of Awareness, Engagement, and Use of a National Web-Based Personal Health Record: Population-Based Survey Study.

BACKGROUND: Web-based personal health records (PHRs) have the potential to improve the quality, accuracy, and timeliness of health care. However, the international uptake of web-based PHRs has been slow. Populations experiencing disadvantages are less likely to use web-based PHRs, potentially widening health inequities within and among countries. OBJECTIVE: With limited understanding of the predictors of community uptake and use of web-based PHR, the aim of this study was to identify the predictors of awareness, engagement, and use of the Australian national web-based PHR, My Health Record (MyHR). METHODS: A population-based survey of adult participants residing in regional Victoria, Australia, was conducted in 2018 using telephone interviews. Logistic regression, adjusted for age, was used to assess the relationship among digital health literacy, health literacy, and demographic characteristics, and the 3 dependent variables of MyHR: awareness, engagement, and use. Digital health literacy and health literacy were measured using multidimensional tools, using all 7 scales of the eHealth Literacy Questionnaire and 4 out of the 9 scales of the Health Literacy Questionnaire. RESULTS: A total of 998 responses were analyzed. Many elements of digital health literacy were strongly associated with MyHR awareness, engagement, and use. A 1-unit increase in each of the 7 eHealth Literacy Questionnaire scales was associated with a 2- to 4-fold increase in the odds of using MyHR: using technology to process health information (odds ratio [OR] 4.14, 95% CI 2.34-7.31), understanding of health concepts and language (OR 2.25, 95% CI 1.08-4.69), ability to actively engage with digital services (OR 4.44, 95% CI 2.55-7.75), feel safe and in control (OR 2.36, 95% CI 1.43-3.88), motivated to engage with digital services (OR 4.24, 95% CI 2.36-7.61), access to digital services that work (OR 2.49, 95% CI 1.32-4.69), and digital services that suit individual needs (OR 3.48, 95% CI 1.97-6.15). The Health Literacy Questionnaire scales of health care support, actively managing health, and social support were also associated with a 1- to 2-fold increase in the odds of using MyHR. Using the internet to search for health information was another strong predictor; however, older people and those with less education were less likely to use MyHR. CONCLUSIONS: This study revealed strong and consistent patterns of association between digital health literacy and the use of a web-based PHR. The results indicate potential actions for promoting PHR uptake, including improving digital technology and skill experiences that may improve digital health literacy and willingness to engage in web-based PHR. Uptake may also be improved through more responsive digital services, strengthened health care, and better social support. A holistic approach, including targeted solutions, is needed to ensure that web-based PHR can realize its full potential to help reduce health inequities.

A validation study of the Norwegian version of the Health Literacy Questionnaire: A robust nine-dimension factor model.

Objective: This study aimed to undertake a rigorous psychometric evaluation of the nine-scale Norwegian version of the Health Literacy Questionnaire (HLQ) based on data from a sample of people with psoriasis. Methods: Cross-sectional survey data were collected from 825 adults with psoriasis who previously participated in the Norwegian Climate Heliotherapy programme. To investigate the factorial validity of the Norwegian HLQ, confirmatory factor analyses were carried out using Stata. Results: A highly restricted model fit with no cross-loadings or correlated residuals was acceptable for three of the nine scales ('Feeling understood and supported by health-care providers', 'Appraisal of health information' and 'Ability to find good health information'). After minor model adjustments of the other scales, one-factor models were acceptable. All scales showed acceptable internal consistency, with Cronbach's alpha ranging from 0.71 to 0.87. Except for three items, all items had high to acceptable factor loadings. Conclusions: This study of the Norwegian HLQ replicates the original factor structure of the Australian HLQ, indicating the questionnaire has cogent and independent scales with good reliability. Researchers, programme implementers and policymakers could use the Norwegian version of the HLQ with confidence to generate reliable information on health literacy for different purposes.

Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity.

BACKGROUND: As health resources and services are increasingly delivered through digital platforms, eHealth literacy is becoming a set of essential capabilities to improve consumer health in the digital era. To understand eHealth literacy needs, a meaningful measure is required. Strong initial evidence for the reliability and construct validity of inferences drawn from the eHealth Literacy Questionnaire (eHLQ) was obtained during its development in Denmark, but validity testing for varying purposes is an ongoing and cumulative process. OBJECTIVE: This study aims to examine validity evidence based on relations to other variables-using data collected with the known-groups approach-to further explore if the eHLQ is a robust tool to understand eHealth literacy needs in different contexts. A priori hypotheses are set for the expected score differences among age, sex, education, and information and communication technology (ICT) use for each of the 7 eHealth literacy constructs represented by the 7 eHLQ scales. METHODS: A Bayesian mediated multiple indicators multiple causes model approach was used to simultaneously identify group differences and test measurement invariance through differential item functioning across the groups, with ICT use as a mediator. A sample size of 500 participants was estimated. Data were collected at 3 diverse health sites in Australia. RESULTS: Responses from 525 participants were included for analysis. Being older was significantly related to lower scores in 4 eHLQ scales, with 3. Ability to actively engage with digital services having the strongest effect (total effect -0.37; P<.001), followed by 1. Using technology to process health information (total effect -0.32; P<.001), 5. Motivated to engage with digital services (total effect -0.21; P=.01), and 7. Digital services that suit individual needs (total effect -0.21; P=.02). However, the effects were only partially mediated by ICT use. Higher education was associated with higher scores in 1. Using technology to process health information (total effect 0.22; P=.01) and 3. Ability to actively engage with digital services (total effect 0.25; P<.001), with the effects mostly mediated by ICT use. Higher ICT use was related to higher scores in all scales except 2. Understanding health concepts and language and 4. Feel safe and in control. Either no or ignorable cases of differential item functioning were found across the 4 groups. CONCLUSIONS: By using a Bayesian mediated multiple indicators multiple causes model, this study provides supportive validity evidence for the eHLQ based on relations to other variables as well as established evidence regarding internal structure related to measurement invariance across the groups for the 7 scales in the Australian community health context. This study also demonstrates that the eHLQ can be used to gain valuable insights into people's eHealth literacy needs to help optimize access and use of digital health and promote health equity.

Translating and validating the Health Literacy Questionnaire into Urdu: a robust nine-dimension confirmatory factor model.

Pakistani migrants are one of the fastest-growing communities in Australia, and the majority speak Urdu at home. There is a lack of information regarding the health literacy of this population. This study aimed to translate the Health Literacy Questionnaire (HLQ) into Urdu and to explore its psychometric properties. A structured standardized procedure was followed to translate and validate HLQ into Urdu. Data were collected from 202 Pakistani migrants residing in Australia. The HLQ-Urdu was well understood by the respondents. The structural properties of HLQ-Urdu were close to the original HLQ. Data for all HLQ scales met pre-specified criteria for fit in the one-factor CFA model. The composite reliability was high, ranging from 0.84 to 0.91. A strict nine-factor CFA model was also fitted to the data with no cross-loadings or correlated residuals allowed, which showed excellent model fit statistics [χ2WLSMV = 1266.022 (df = 866, p = 0.000), comparative fit index = 0.995, Tucker-Lewis index = 0.994, root mean square error of approximation = 0.050 and standardized root mean square residual = 0.069]. The Urdu version of HLQ showed robust psychometric properties. This HLQ-Urdu tool is now ready to be used to assess health literacy in Pakistani migrants in Australia. Availability of health literacy tools in migrant languages may help healthcare providers better understand the health literacy needs of migrant communities.

Translation method is validity evidence for construct equivalence: analysis of secondary data routinely collected during translations of the Health Literacy Questionnaire (HLQ).

BACKGROUND: Cross-cultural research with patient-reported outcomes measures (PROMs) assumes that the PROM in the target language will measure the same construct in the same way as the PROM in the source language. Yet translation methods are rarely used to qualitatively maximise construct equivalence or to describe the intents of each item to support common understanding within translation teams. This study aimed to systematically investigate the utility of the Translation Integrity Procedure (TIP), in particular the use of item intent descriptions, to maximise construct equivalence during the translation process, and to demonstrate how documented data from the TIP contributes evidence to a validity argument for construct equivalence between translated and source language PROMs. METHODS: Analysis of secondary data was conducted on routinely collected data in TIP Management Grids of translations (n = 9) of the Health Literacy Questionnaire (HLQ) that took place between August 2014 and August 2015: Arabic, Czech, French (Canada), French (France), Hindi, Indonesian, Slovak, Somali and Spanish (Argentina). Two researchers initially independently deductively coded the data to nine common types of translation errors. Round two of coding included an identified 10th code. Coded data were compared for discrepancies, and checked when needed with a third researcher for final code allocation. RESULTS: Across the nine translations, 259 changes were made to provisional forward translations and were coded into 10 types of errors. Most frequently coded errors were Complex word or phrase (n = 99), Semantic (n = 54) and Grammar (n = 27). Errors coded least frequently were Cultural errors (n = 7) and Printed errors (n = 5). CONCLUSIONS: To advance PROM validation practice, this study investigated a documented translation method that includes the careful specification of descriptions of item intents. Assumptions that translated PROMs have construct equivalence between linguistic contexts can be incorrect due to errors in translation. Of particular concern was the use of high level complex words by translators, which, if undetected, could cause flawed interpretation of data from people with low literacy. Item intent descriptions can support translations to maximise construct equivalence, and documented translation data can contribute evidence to justify score interpretation and use of translated PROMS in new linguistic contexts.

Italian validation of the health education impact questionnaire (heiQ) in people with chronic conditions.

BACKGROUND: The health education impact Questionnaire (heiQ) measures eight self-management skills in people with chronic conditions. It seems to be important to provide cross-cultural evidence on its properties in non-English healthcare contexts. The present study assessed the psychometric properties of the heiQ in Italian adults with chronic conditions. METHODS: Two hundred ninety-nine individuals with a chronic condition (mean age = 61.4 years, 50.16% females) completed the heiQ and the Medical Outcomes Study-Short Form (SF-36). Confirmatory factor analyses, Composite Reliability Indices, and bivariate correlations were performed. RESULTS: Structural validity based on 8 correlated factors with good fit was in line with previous research. Concurrent validity was confirmed, as shown by moderate associations between the scores on the Constructive attitudes and approaches, Self-monitoring and insight, Health directed activities, Social integration and support, and Emotional distress subscales and the scores on SF-36 Physical functioning, General health perceptions, Vitality, Social functioning, Perceived mental health and Role limitations due to physical and emotional problems subscales. CONCLUSIONS: The Italian heiQ has strong properties and it can be used routinely also in the Italian healthcare services.

The Association between Health Literacy and Self-Rated Health Amongst Australian University Students.

Health literacy is the capacity to understand, access, and effectively utilize health information and healthcare to make informed health decisions. This cross-sectional study uses the multi-dimensional Health Literacy Questionnaire (HLQ) to investigate associations between demographic characteristics, self-rated health and health literacy among students (n = 932) in two Australian universities. We used Pearson's chi-square to determine differences in self-rated health between demographic groups, Cohen's defect Sizeto measure differences in HLQ scale scores between demographic groups, and logistic regression to determine associations between HLQ scores and self-rated health. A clear association was found between self-rated health and health literacy: as health literacy increased, so did self-rated health. Findings also demonstrate lower health literacy for culturally and linguistically diverse students, and those studying Arts compared to Health degrees. Lower self-rated health was correlated with HLQ scales including being less active in managing one's own health, having less social support for one's health, possessing insufficient health information and lower confidence in navigating the healthcare system. This study provides a comprehensive picture of potentially vulnerable students and identifies strategies for supporting their health endeavors while studying at university.

Applying the Electronic Health Literacy Lens: Systematic Review of Electronic Health Interventions Targeted at Socially Disadvantaged Groups.

BACKGROUND: Electronic health (eHealth) has the potential to improve health outcomes. However, eHealth systems need to match the eHealth literacy needs of users to be equitably adopted. Socially disadvantaged groups have lower access and skills to use technologies and are at risk of being digitally marginalized, leading to the potential widening of health disparities. OBJECTIVE: This systematic review aims to explore the role of eHealth literacy and user involvement in developing eHealth interventions targeted at socially disadvantaged groups. METHODS: A systematic search was conducted across 10 databases for eHealth interventions targeted at older adults, ethnic minority groups, low-income groups, low-literacy groups, and rural communities. The eHealth Literacy Framework was used to examine the eHealth literacy components of reviewed interventions. The results were analyzed using narrative synthesis. RESULTS: A total of 51 studies reporting on the results of 48 interventions were evaluated. Most studies were targeted at older adults and ethnic minorities, with only 2 studies focusing on low-literacy groups. eHealth literacy was not considered in the development of any of the studies, and no eHealth literacy assessment was conducted. User involvement in designing interventions was limited, and eHealth intervention developmental frameworks were rarely used. Strategies to assist users in engaging with technical systems were seldom included in the interventions, and accessibility features were limited. The results of the included studies also provided inconclusive evidence on the effectiveness of eHealth interventions. CONCLUSIONS: The findings highlight that eHealth literacy is generally overlooked in developing eHealth interventions targeted at socially disadvantaged groups, whereas evidence about the effectiveness of such interventions is limited. To ensure equal access and inclusiveness in the age of eHealth, eHealth literacy of disadvantaged groups needs to be addressed to help avoid a digital divide. This will assist the realization of recent technological advancements and, importantly, improve health equity.