Medicine (RMH) - Research Publications

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    Modelling variance in the multidimensional Health Literacy Questionnaire: Does a General Health Literacy factor account for observed interscale correlations?
    Elsworth, GR ; Nolte, S ; Cheng, C ; Hawkins, M ; Osborne, RH (SAGE PUBLICATIONS INC, 2022-09)
    OBJECTIVES: Self-report measures of health literacy frequently encompass a group of conceptually distinct but related domains scored as either a single scale or separately for each domain. Psychometric studies of the 44-item Health Literacy Questionnaire, scored as nine separate scales, typically report the results of correlated factors confirmatory factor analyses as validity evidence. However, some scales are quite strongly correlated, raising the question of whether there is sufficient discriminant validity to warrant separate scoring. This psychometric study aims to contrast the results of fitting higher-order and bifactor models as alternative options to illuminate the issue. METHODS: Correlated factors, higher-order and bifactor confirmatory factor analysis models were fitted to an Australian sample of responses to the Health Literacy Questionnaire (N = 813) using Bayesian confirmatory factor analysis methods. RESULTS: All models representing a nine-factor structure for the Health Literacy Questionnaire fitted well. The correlated factors model replicated previous findings, showing inter-factor correlations between 0.19 and 0.93. A higher-order model showed relatively high loadings of all nine first-order factors on the second-order factor with particularly high loadings (⩾0.97) for three. Two bifactor models showed that the majority of Health Literacy Questionnaire items were multifactorial, each containing systematic variance from both a General Health Literacy factor and a domain-specific factor. Seven items from four scales were identified as strongly associated with the General Health Literacy factor, with item content suggesting that this factor indexes a broad sense of agency and efficacy in interacting with health-related information and healthcare providers. CONCLUSION: Contrasting correlated factors, higher-order and bifactor models fitted to the Health Literacy Questionnaire suggest that constituent items in self-report health literacy questionnaires might be anticipated to represent at least two sources of reliable and substantive common factor variance: variance associated with General Health Literacy and variance associated with a more specific domain, suggesting that items may be 'irreducibly' heterogeneous. Implications for test development and validation practice are discussed.
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    Exploring discordance between Health Literacy Questionnaire scores of people with RMDs and assessment by treating health professionals.
    Bakker, MM ; Putrik, P ; Dikovec, C ; Rademakers, J ; Vonkeman, HE ; Kok, MR ; Voorneveld-Nieuwenhuis, H ; Ramiro, S ; de Wit, M ; Buchbinder, R ; Batterham, R ; Osborne, RH ; Boonen, A (Oxford University Press (OUP), 2022-12-23)
    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.
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    How to co-design a health literacy-informed intervention based on a needs assessment study in chronic obstructive pulmonary disease.
    Borge, CR ; Larsen, MH ; Osborne, RH ; Engebretsen, E ; Andersen, MH ; Holter, IA ; Wahl, AK (BMJ, 2022-10-27)
    OBJECTIVE: To develop a co-designed health literacy (HL)-informed intervention for people with chronic obstructive pulmonary disease (COPD) that enables them to find, understand, remember, use and communicate the health information needed to promote and maintain good health. DESIGN: This study used a co-design approach informed by the programme logic of the Ophelia (Optimising Health Literacy and Access) process. The co-design included workshops where possible solutions for an HL-informed intervention were discussed based on an HL needs assessment study. SETTINGS: Five workshops were performed in a local community setting in the specialist and municipality healthcare services in Oslo, Norway. PARTICIPANTS: People with COPD, multidisciplinary healthcare professionals (HCPs) from the municipality and specialist healthcare services, and researchers (n=19) participated in the workshops. The co-designed HL-informed intervention was based on seven focus groups with people with COPD (n=14) and HCPs (n=21), and a cross-sectional study of people with COPD using the Health Literacy Questionnaire (n=69). RESULTS: The workshop co-design process identified 45 action points and 51 description points for possible intervention solutions to meet the HL needs of people with COPD. The final recommendation for an HL-informed intervention focused on tailored follow-up after hospitalisation, which uses motivational interviewing techniques, is based on the individual's HL, self-management and quality of life needs and is implemented in cooperation with HCPs in both the specialist and municipality healthcare services. CONCLUSION: During the codesign process, the workshop group generated several ideas for how to help patients find, understand, remember, use and communicate health information in order to promote and maintain good health. People with COPD need tailored follow-up based on their individual HL needs by HCPs that have knowledge of COPD and are able to motivate them for self-management tasks and help them to improve their quality of life (QOL) and decrease hospitalisation.
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    Health literacy development is central to the prevention and control of non-communicable diseases.
    Osborne, RH ; Elmer, S ; Hawkins, M ; Cheng, CC ; Batterham, RW ; Dias, S ; Good, S ; Monteiro, MG ; Mikkelsen, B ; Nadarajah, RG ; Fones, G (BMJ, 2022-12)
    The WHO's report Health literacy development for the prevention and control of non-communicable diseases (NCDs) delivers practical what-to-do how-to-do guidance for health literacy development to build, at scale, contextually-relevant public health actions to reduce inequity and the burden of NCDs on individuals, health systems and economies. The key premise for health literacy development is that people's health awareness and behaviours are linked to lifelong experiences and social practices, which may be multilayered, hidden and beyond their control. Meaningful community engagement, local ownership and locally driven actions are needed to identify health literacy strengths, challenges and preferences to build locally fit-for-purpose and implementable actions. Health literacy development needs to underpin local and national policy, laws and regulations to create enabling environments that reduce community exposures to NCD risk factors. Deficit approaches and siloed health system and policy responses need to be avoided, focusing instead on integrating community-based solutions through co-design, cognisant of people's daily experiences and social practices.
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    Preventing chronic disease in overweight and obese patients with low health literacy using eHealth and teamwork in primary healthcare (HeLP-GP): a cluster randomised controlled trial.
    Parker, SM ; Barr, M ; Stocks, N ; Denney-Wilson, E ; Zwar, N ; Karnon, J ; Kabir, A ; Nutbeam, D ; Roseleur, J ; Liaw, S-T ; McNamara, C ; Frank, O ; Tran, A ; Osborne, R ; Lau, AYS ; Harris, M (BMJ, 2022-11-30)
    OBJECTIVES: To evaluate a multifaceted intervention on diet, physical activity and health literacy of overweight and obese patients attending primary care. DESIGN: A pragmatic two-arm cluster randomised controlled trial. SETTING: Urban general practices in lower socioeconomic areas in Sydney and Adelaide. PARTICIPANTS: We aimed to recruit 800 patients in each arm. Baseline assessment was completed by 215 patients (120 intervention and 95 control). INTERVENTION: A practice nurse-led preventive health check, a mobile application and telephone coaching. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcomes were measured at baseline, 6 and 12 months, and included patient health and eHealth literacy, weight, waist circumference and blood pressure. Secondary outcomes included changes in diet and physical activity, preventive advice and referral, blood lipids, quality of life and costs. Univariate and multivariate analyses of difference-in-differences (DiD) estimates for each outcome were conducted. RESULTS: At 6 months, the intervention group, compared with the control group, demonstrated a greater increase in Health Literacy Questionnaire domain 8 score (ability to find good health information; mean DiD 0.22; 95% CI 0.01 to 0.44). There were similar differences for domain 9 score (understanding health information well enough to know what to do) among patients below the median at baseline. Differences were reduced and non-statistically significant at 12 months. There was a small improvement in diet scores at 6 months (DiD 0.78 (0.10 to 1.47); p=0.026) but not at 12 months. There were no differences in eHealth literacy, physical activity scores, body mass index, weight, waist circumference or blood pressure. CONCLUSIONS: Targeted recruitment and engagement were challenging in this population. While the intervention was associated with some improvements in health literacy and diet, substantial differences in other outcomes were not observed. More intensive interventions and using codesign strategies to engage the practices earlier may produce a different result. Codesign may also be valuable when targeting lower socioeconomic populations. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ACTRN 12617001508369) (http://www.ANZCTR.org.au/ACTRN12617001508369.aspx). TRIAL PROTOCOL: The protocol for this trial has been published (open access; https://bmjopen.bmj.com/content/8/6/e023239).
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    eHealth Literacy of Australian Undergraduate Health Profession Students: A Descriptive Study.
    Mather, CA ; Cheng, C ; Douglas, T ; Elsworth, G ; Osborne, R (MDPI AG, 2022-08-29)
    Rapid growth in digital health technologies has increased demand for eHealth literacy of all stakeholders within health and social care environments. The digital future of health care services requires the next generation of health professionals to be well-prepared to confidently provide high-quality and safe health care. The aim of this study was to explore the eHealth literacy of undergraduate health profession students to inform undergraduate curriculum development to promote work-readiness. A cross-sectional survey was undertaken at an Australian university using the seven-domain eHealth Literacy Questionnaire (eHLQ), with 610 students participating. A one-way Multivariate Analysis of Variance (MANOVA) with follow-up univariate analysis (ANOVA) was used to determine if there were differences in eHLQ scores across 11 sociodemographic variables. Students generally had good knowledge of health (Scale 2); however, they had concerns over the security of online health data (Scale 4). There were also significant differences in age and ownership of digital devices. Students who were younger reported higher scores across all seven eHLQ scales than older students. This research provided an understanding of eHealth literacy of health profession students and revealed sub-groups that have lower eHealth literacy, suggesting that digital health skills should be integrated into university curriculums, especially related to practice-based digital applications with special focus to address privacy and security concerns. Preparation of health profession students so they can efficiently address their own needs, and the needs of others, is recommended to minimise the digital divide within health and social care environments.
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    Health Literacy and Risk Factors for Coronary Artery Disease (From the CONCARDPCI Study).
    Brørs, G ; Dalen, H ; Allore, H ; Deaton, C ; Fridlund, B ; Osborne, RH ; Palm, P ; Wentzel-Larsen, T ; Norekvål, TM ; CONCARD investigators, (Elsevier BV, 2022-09-15)
    In the setting of established coronary artery disease (CAD), lower health literacy is associated with poor outcomes. The aim of this study was to determine whether health literacy at the index admission was associated with established CAD risk factors and with changes in CAD risk factors from baseline until 6 months after percutaneous coronary intervention (PCI). A multicenter cohort study recruited 3,417 patients aged ≥18 years who were treated with PCI. Assessments were made at the index admission for PCI and at 6-month follow-up, including 4 of the 9 scales from the Health Literacy Questionnaire, an assessment of behavioral risk factors and psychologic risk factors for CAD. In this large study, key aspects of health literacy were associated with behavioral and psychologic risk factors for CAD. For each 1-unit higher score on the health literacy scales, weekly physical activity was 12 to 20 intensity-adjusted minutes higher, and the odds of being a nonsmoker were 24% to 72% higher. The risk factors for CAD improved from baseline to 6-month follow-up, although most were not significantly associated with health literacy. Still, patients with lower health literacy scores were more likely to report a greater reduction in depression symptoms from baseline to 6-month follow-up. In conclusion, the study provides evidence that several aspects of health literacy are associated with risk factors for CAD. These results serve as a reminder to healthcare teams to consider health literacy challenges in connection with secondary prevention care.
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    Health literacy measurement: embracing diversity in a strengths-based approach to promote health and equity, and avoid epistemic injustice
    Osborne, RH ; Cheng, CC ; Nolte, S ; Elmer, S ; Besancon, S ; Budhathoki, SS ; Debussche, X ; Dias, S ; Kolarcik, P ; Loureiro, MI ; Maindal, H ; do O, DN ; Smith, JA ; Wahl, A ; Elsworth, GR ; Hawkins, M (BMJ PUBLISHING GROUP, 2022-09)
    Definitions of health literacy have evolved from notions of health-related literacy to a multidimensional concept that incorporates the importance of social and cultural knowledge, practices and contexts. This evolution is evident in the development of instruments that seek to measure health literacy in different ways. Health literacy measurement is important for global health because diverse stakeholders, including the WHO, use these data to inform health practice and policy, and to understand sources of inequity. In this Practice paper, we explore the potential for negative consequences, bias and epistemic injustice to occur when health literacy instruments are used across settings without due regard for the lived experiences of people in various contexts from whom data are collected. A health literacy measurement approach that is emic-sensitive, strengths based and solution oriented is needed to minimise biased data interpretation and use and to avoid epistemic injustice.
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    Digital Health Literacy as a Predictor of Awareness, Engagement, and Use of a National Web-Based Personal Health Record: Population-Based Survey Study.
    Cheng, C ; Gearon, E ; Hawkins, M ; McPhee, C ; Hanna, L ; Batterham, R ; Osborne, RH (JMIR Publications Inc., 2022-09-16)
    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.
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    Readiness, acceptance and use of digital patient reported outcome in an outpatient clinic.
    Nielsen, AS ; Hanna, L ; Larsen, BF ; Appel, CW ; Osborne, RH ; Kayser, L (SAGE Publications, 2022)
    Use of digital patient-reported outcomes is being introduced in care of chronic conditions, including Inflammatory Bowel Disease. The aim is to supplement face-to-face follow-up sessions through symptom screening, and to inform follow-up through questions about mental health and quality of life. However, little is known about who is using this as intended. This study aimed to map differences between users and non-users among people with IBD and explore the mechanisms behind. We administered a questionnaire including the Readiness and Enablement Index for Health Technology (ReadHy) and the Service User Technology Acceptability Questionnaire (SUTAQ) to all people with IBD registered at Silkeborg Regional Hospital. Comparison between users and non-users and cluster analysis was conducted. Effect size (Cohen's d) was used to estimate magnitude of difference between groups. The user and non-user groups differed most strongly by level of emotional distress (d = 0.45). Cluster analysis of the ReadHy scales showed profiles have different sets of difficulties and reservations towards digital solutions. These difficulties correlated moderately with SUTAQ dissatisfaction and low acceptability. The dimensions of ReadHy may help to better understand particular needs of people with IBD when accessing digital PROs, which may lead to higher acceptability and improved quality of care.