Health Literacy Co-Design in a Low Resource Setting: Harnessing Local Wisdom to Inform Interventions across Fishing Villages in Egypt to Improve Health and Equity

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.

A systematic scoping review and content analysis of organizational health literacy responsiveness assessment tools

The characteristics of health literate organizations have been variously described in recognition that it is important for organizations to respond to the diversity of people's health literacy strengths and challenges. A systematic scoping review was conducted to identify, assess and classify international self-assessment tools aimed at measuring the capability of organizations to embody health literate characteristics. Following the JBI Scoping Manual, a search was conducted in six databases and identified 2693 articles. After screening, 16 studies published between 2007 and 2023 across eight countries were eligible for inclusion. Results were summarized and a finite list of items from existing tools was generated. Content analysis was performed to classify these items. Whilst most assessment tools in the included studies were healthcare-focused, other settings included schools and government departments. The 16 assessment tools included a total of 661 items, and 647 items were retained that met the definition of health literacy responsiveness. Items were classified into six domains (communication; navigation of resources; culture; policies and practice; involvement or engagement and workforce development), with high agreement between two researchers (91.5%). The 647 items were reviewed to exclude items that were too contextually specific, focused solely on service users, were too broad or had suitable alternatives; 210 items were finally retained. This research is two-fold: provides a synthesis of existing organizational health literacy responsiveness assessment tools across settings; and provides a list of items, which will be essential to developing context specific assessment tools through Delphi methods in the future.

Profiles of health literacy and digital health literacy in clusters of hospitalised patients: a single-centre, cross-sectional study

OBJECTIVE

To investigate health literacy (HL) and digital health literacy (eHL) among patients hospitalised in surgical and medical wards using a cluster analysis approach.

DESIGN

Cross-sectional study using Ward's hierarchical clustering method to measure cluster adequacy by evaluating distances between cluster centroids (a measure of cohesion). Different distances produced different cluster solutions.

SETTING AND PARTICIPANTS

The study was conducted at a Norwegian university hospital. A total of 260 hospitalised patients were enrolled between 24 May and 6 June 2021.

DATA COLLECTION

All data were collected by self-reported questionnaires. Data on HL and eHL were collected by the Health Literacy Questionnaire (HLQ) and the eHealth Literacy Questionnaire (eHLQ). We also collected data on background characteristics, health status and patient diagnosis.

RESULTS

We found six HLQ clusters to be the best solution of the sample, identifying substantial diversity in HL strengths and challenges. Two clusters, representing 21% of the total sample, reported the lowest HLQ scores in eight of nine HLQ domains. Compared with the other clusters, these two contained the highest number of women, as well as the patients with the highest mean age, a low level of education and the lowest proportion of being employed. One of these clusters also represented patients with the lowest health status score. We identified six eHL clusters, two of which represented 31% of the total sample with the lowest eHLQ scores in five of seven eHLQ domains, with background characteristics comparable to patients in the low-scoring HLQ clusters.

CONCLUSIONS

This study provides new, nuanced knowledge about HL and eHL profiles in different clusters of patients hospitalised in surgical and medical wards. With such data, healthcare professionals can take into account vulnerable patients' HL needs and tailor information and communication accordingly.

Health literacy profiles of pregnant women and mothers in Tasmania: A cluster analysis

ISSUE ADDRESSED

Health literacy development can help to reduce the growing noncommunicable disease burden globally. However, less is known about the health literacy needs of pregnant women and mothers necessary to guide health literacy development in this priority population group. To enhance the understanding of the health literacy needs of pregnant women and mothers, this study aimed to develop data-informed health literacy profiles of pregnant women and mothers with children (0-8 years) in Tasmania, as well as data-informed vignettes describing the health literacy needs of women in the different health literacy profiles.

METHODS

An online cross-sectional survey was undertaken. The survey included demographic questions and the health literacy questionnaire (HLQ). The data were analysed using a cluster analysis to identify subgroups with varying health literacy needs. The clusters, in conjunction with demographic characteristics, were used to generate data-informed vignettes representing various health literacy profiles.

RESULTS

The cluster analysis generated seven health literacy profiles and five vignettes representing diverse health literacy needs of pregnant women and mothers in Tasmania. Each vignette tells a data-informed story of women in Tasmania experiencing diverse health literacy strengths and challenges influencing their access and use of health information and health services. This allowed deeper exploration of the health literacy needs of the subgroups within the target population.

CONCLUSION

A better understanding of the health literacy needs of pregnant women and mothers can provide policymakers and health care providers with the key insights needed to guide the planning and development of fit-for-purpose solutions. This understanding can also guide the tailoring of existing health and community services, to create a health literacy-responsive environment that is more likely to meet the diverse health needs of pregnant women and mothers.

SO WHAT

We must shift away from a 'one size fits all' approach and promote the development of a health literacy-responsive environment to improve health and equity outcomes for pregnant women and mothers in Tasmania.

Using the Ophelia (Optimising Health Literacy and Access to Health Services) process as a practical tool for health promotion program delivery in various Philippine communities

ISSUE ADDRESSED

The Ophelia (Optimising Health Literacy and Access to Health Services) process can be used as a practical tool for effective health promotion program delivery because of its multi-sector and pragmatic approach to designing health interventions. An initial case study showed how its first phase was successfully adapted in a pilot community in Leyte, Philippines. In this study, the three phases of the Ophelia process were implemented in Leyte, along with additional communities in Mindoro and Surigao.

METHODS

After conducting needs assessment and community profiling in phase 1, the results were transformed into vignettes, hypothetical personas representing the health needs of the community. These were used in phase 2, which involved focus group discussions and workshops to cocreate intervention ideas with government organisations, practitioners, and community representatives. A rapid realist review was conducted in phase 3 to check for the feasibility of interventions.

RESULTS

Through this, the top evidence-based health interventions for each life stage were listed and presented for prioritisation. Program implementation and impact evaluation plans were created for the top health intervention prior to implementation.

CONCLUSIONS

The Ophelia process ensured that health promotion interventions addressed community needs and were designed using community resources and the wisdom of health practitioners that have been immersed in the local health system. SO WHAT?: The study demonstrated the usefulness of vignettes in presenting data to lay people and how the rapid realist review approach is a practical tool for policy-makers to ensure that program plans designed by the communities and health practitioners are evidence-based without sacrificing the timeliness of implementation.

Application of the optimizing health literacy and access (Ophelia) process in partnership with a refugee community in Australia: Study protocol

Refugees experience health inequities resulting from multiple barriers and difficulties in accessing and engaging with services. A health literacy development approach can be used to understand health literacy strengths, needs, and preferences to build equitable access to services and information. This protocol details an adaptation of the Ophelia (Optimizing Health Literacy and Access) process to ensure authentic engagement of all stakeholders to generate culturally appropriate, needed, wanted and implementable multisectoral solutions among a former refugee community in Melbourne, Australia. The Health Literacy Questionnaire (HLQ), widely applied around the world in different population groups, including refugees, is usually the quantitative needs assessment tool of the Ophelia process. This protocol outlines an approach tailored to the context, literacy, and health literacy needs of former refugees. This project will engage a refugee settlement agency and a former refugee community (Karen people origin from Myanmar also formerly knowns as Burma) in codesign from inception. A needs assessment will identify health literacy strengths, needs, and preferences, basic demographic data and service engagement of the Karen community. This community will be engaged and interviewed using a semi-structured interview based on the Conversational Health Literacy and Assessment Tool (CHAT) will cover supportive professional and personal relationships, health behaviors, access to health information, use of health services, and health promotion barriers and support. Using the needs assessment data, vignettes portraying typical individuals from this community will be developed. Stakeholders will be invited to participate in ideas generation and prioritization workshops for in-depth discussion on what works well and not well for the community. Contextually and culturally appropriate and meaningful action ideas will be co-designed to respond to identified health literacy strengths, needs, and preferences of the community. This protocol will develop and test new and improved methods that are likely to be useful for community-based organizations and health services to systematically understand and improve communication, services and outcomes among disadvantaged groups, particularly migrants and refugees.

Health literacy strengths and challenges among residents of a resource-poor village in rural India: Epidemiological and cluster analyses

Cluster analysis can complement and extend the information learned through epidemiological analysis. The aim of this study was to determine the relative merits of these two data analysis methods for describing the multidimensional health literacy strengths and challenges in a resource poor rural community in northern India. A cross-sectional survey (N = 510) using the Health Literacy Questionnaire (HLQ) was undertaken. Descriptive epidemiology included mean scores and effect sizes among sociodemographic characteristics. Cluster analysis was based on the nine HLQ scales to determine different health literacy profiles within the population. Participants reported highest mean scores for Scale 4. Social support for health (2.88) and Scale 6. Ability to actively engage with healthcare professionals (3.66). Lower scores were reported for Scale 3. Actively managing my health (1.81) and Scale 8. Ability to find good health information (2.65). Younger people (<35 years) had much higher scores than older people (ES >1.0) for social support. Eight clusters were identified. In Cluster A, educated younger men (mean age 27 years) reported higher scores on all scales except one (Scale 1. Feeling understood and supported by a healthcare professional) and were the cluster with the highest number (43%) of new hypertension diagnoses. In contrast, Cluster H also had young participants (mean age 30 years) but with low education (72% illiterate) who scored lowest across all nine scales. While epidemiological analysis provided overall health literacy scores and associations between health literacy and other characteristics, cluster analysis provided nuanced health literacy profiles with the potential to inform development of solutions tailored to the needs of specific population subgroups.

Modelling variance in the multidimensional Health Literacy Questionnaire: Does a General Health Literacy factor account for observed interscale correlations?

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.

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.

Health Literacy Development among People with Chronic Diseases: Advancing the State of the Art and Learning from International Practices

Chronic diseases account for a considerable part of the strain on health care systems [...].

The Health Literacy in Pregnancy (HeLP) Program Study Protocol: Development of an Antenatal Care Intervention Using the Ophelia Process

A pregnant woman needs adequate knowledge, motivation, and skills to access, understand, appraise, and apply health information to make decisions related to the health of herself and her unborn baby. These skills are defined as health literacy: an important factor in relation to the woman’s ability to engage and navigate antenatal care services. Evidence shows variation in levels of health literacy among pregnant women, but more knowledge is needed about how to respond to different health literacy profiles in antenatal care. This paper describes the development protocol for the HeLP program, which aims to investigate pregnant women’s health literacy and co-create health literacy interventions through a broad collaboration between pregnant women, partners, healthcare providers, professionals, and other stakeholders using the Ophelia (Optimising Health Literacy and Access) process. The HeLP program will be provided at two hospitals, which provide maternity care including antenatal care: a tertiary referral hospital (Aarhus University Hospital) and a secondary hospital (the Regional Hospital in Viborg). The Ophelia process includes three process phases with separate objectives, steps, and activities leading to the identification of local strengths, needs and issues, co-design of interventions, and implementation, evaluation, and ongoing improvement. No health literacy intervention using the Ophelia process has yet been developed for antenatal care.

Knowledge, Practice of Personal Hygiene, School Sanitation, and Risk Factors of Contracting Diarrhea among Rural Students from Five Western Provinces in China

BACKGROUND

Diarrhea is a global public health issue and a leading cause of childhood malnutrition, growth disturbances, and mortality. The spread of diarrhea is closely linked to the knowledge and maintenance of personal hygiene and quality of drinking water and sanitation facilities. However, there are few such investigations and analysis in rural areas of China. This study aims to determine the association between the risk of contracting diarrhea and knowledge and practices of personal hygiene and school sanitation among rural students as well as provide a scientific basis for preventing the spread of diarrhea and other infectious diseases. A stratified cluster sampling method was used to randomly select 12 rural primary schools in each of 5 counties where the Water, Sanitation and Hygiene (WASH) Plus Program has been implemented. The counties are located in the Guangxi Zhuang autonomous region, Chongqing municipality, Guizhou province, Yunnan province, and Xinjiang Uygur autonomous region. A single fourth-grade class was randomly chosen from each of the 60 schools for observation and a questionnaire survey. The study involved a total of 2330 students. The logistic regression method was adopted to determine the factors contributing to diarrhea in rural students. The results show that male students accounted for 49.40% (n = 1151) of the 2330 research subjects; the average age of the students was 9.9 ± 0.3 years. Approximately 33.09% of the students suffered from diarrhea in the three months leading up to the survey. The odds ratios (ORs) of students who did not know that "diarrhea can be prevented by washing fruits before eating them raw and not drinking untreated water" (OR: 1.303, 95% confidence interval [CI]: 1.063, 1.597) and that "the disease can be prevented by washing hands before meals and after going to the toilet" (OR: 1.522, 95% CI: 1.207, 1.920) were higher than those who knew the above stated facts. Students who "have drunk untreated water at school" (OR: 1.584, 95% CI: 1.268, 1.978), "have drunk untreated water at home" (OR: 1.643, 95% CI: 1.319, 2.048), and "did not wash hands before every meal" (OR: 1.490, 95% CI: 1.120, 1.983) were at a higher risk of contracting diarrhea than those who drank treated water at school and at home and washed their hands before every meal. Diarrhea was more likely to affect students who attended schools with unclean and poorly maintained toilets (OR: 1.586, 95% CI: 1.261, 1.995) or toilets with flies (OR: 1.383, 95% CI: 1.114, 1.717) and without adequate drinking water facilities (OR: 1.407, 95% CI: 1.009, 1.962). The knowledge of methods to maintain personal hygiene, general hygiene practices, and school sanitation are the three major risk factors that account for the spread of diarrhea among rural students from five western provinces (municipalities and autonomous regions) of China. Therefore, to prevent such diseases and maintain health, it is important to provide students with health education, help them develop good hygiene habits, ensure the provision of clean water at schools, and improve the overall school environments.