New Frontiers in Health Literacy: Using ChatGPT to Simplify Health Information for People in the Community.

BACKGROUND: Most health information does not meet the health literacy needs of our communities. Writing health information in plain language is time-consuming but the release of tools like ChatGPT may make it easier to produce reliable plain language health information. OBJECTIVE: To investigate the capacity for ChatGPT to produce plain language versions of health texts. DESIGN: Observational study of 26 health texts from reputable websites. METHODS: ChatGPT was prompted to 'rewrite the text for people with low literacy'. Researchers captured three revised versions of each original text. MAIN MEASURES: Objective health literacy assessment, including Simple Measure of Gobbledygook (SMOG), proportion of the text that contains complex language (%), number of instances of passive voice and subjective ratings of key messages retained (%). KEY RESULTS: On average, original texts were written at grade 12.8 (SD = 2.2) and revised to grade 11.0 (SD = 1.2), p < 0.001. Original texts were on average 22.8% complex (SD = 7.5%) compared to 14.4% (SD = 5.6%) in revised texts, p < 0.001. Original texts had on average 4.7 instances (SD = 3.2) of passive text compared to 1.7 (SD = 1.2) in revised texts, p < 0.001. On average 80% of key messages were retained (SD = 15.0). The more complex original texts showed more improvements than less complex original texts. For example, when original texts were ≥ grade 13, revised versions improved by an average 3.3 grades (SD = 2.2), p < 0.001. Simpler original texts (< grade 11) improved by an average 0.5 grades (SD = 1.4), p < 0.001. CONCLUSIONS: This study used multiple objective assessments of health literacy to demonstrate that ChatGPT can simplify health information while retaining most key messages. However, the revised texts typically did not meet health literacy targets for grade reading score, and improvements were marginal for texts that were already relatively simple.

A Decision Aid for Patients Considering Surgery for Sciatica: Codesign and User-Testing With Patients and Clinicians.

BACKGROUND: Surgery can help patients with leg pain caused by sciatica recover faster, but by 12 months outcomes are similar to nonsurgical management. For many the decision to have surgery may require reflection, and patient decision aids are an evidence-based clinical tool that can help guide patients through this decision. OBJECTIVE: The aim of this study was to develop and refine a decision aid for patients with sciatica who are deciding whether to have surgery or 'wait and see' (i.e., try nonsurgical management first). DESIGN: Semistructured interviews with think-aloud user-testing protocol. PARTICIPANTS: Twenty clinicians and 20 patients with lived experience of low back pain or sciatica. OUTCOME MEASURES: Items from Technology Acceptance Model, Preparation for Decision Making Scale and Decision Quality Instrument for Herniated Disc 2.0 (knowledge instrument). METHODS: The prototype integrated relevant research with working group perspectives, decision aid standards and health literacy guidelines. The research team refined the prototype through seven rounds of user-testing, which involved discussing user-testing feedback and implementing changes before progressing to the next round. RESULTS: As a result of working group feedback, the decision aid was divided into sections: before, during and after a visit to the surgeon. Across all rounds of user-testing, clinicians rated the resource 5.9/7 (SD = 1.0) for perceived usefulness, and 6.0/7 for perceived ease of use (SD = 0.8). Patients reported the decision aid was easy to understand, on average correctly answering 3.4/5 knowledge questions (SD = 1.2) about surgery for sciatica. The grade reading score for the website was 9.0. Patients scored highly on preparation for decision-making (4.4/5, SD = 0.7), suggesting strong potential to empower patients. Interview feedback showed that patients and clinicians felt the decision aid would encourage question-asking and help patients reflect on personal values. CONCLUSIONS: Clinicians found the decision aid acceptable, patients found it was easy to understand and both groups felt it would empower patients to actively engage in their care and come to an informed decision that aligned with personal values. Input from the working group and user-testing was crucial for ensuring that the decision aid met patient and clinician needs. PATIENT OR PUBLIC CONTRIBUTION: Patients and clinicians contributed to prototype development via the working group.

What makes an action plan "100% me"? Think aloud interviews about CVD prevention tools for varying health literacy needs.

ISSUE ADDRESSED: Health behaviour change can be difficult to maintain. Action plans can address this issue, however, there has been little qualitative research to understand how to optimise action plan interventions. This study explored how people engage with a specific type of action plan intervention, the "volitional help sheet," in a cardiovascular disease (CVD) prevention context. METHODS: Twenty adults in the target age for CVD risk assessment (45 to 74 years) with varying health literacy participated in interviews and created an action plan to change their behaviour. Transcripts were analysed using framework analysis. RESULTS: Participants described how engagement with plans was related to how personally relevant the target behaviour and the options within the plan were. Also important was participants visualising themselves enacting the plan when deciding which option to choose. Amongst participants who already engaged in a target behaviour, some did not perceive the plan was useful; others perceived the plan as a helpful prompt or a formalisation of existing plans. For some, the barriers to behaviour change were out of the scope of an action plan, highlighting the need for alternative supports. CONCLUSION: This study provides qualitative insights into unanticipated ways that people with varying health literacy use action plans, providing new guidance for future developers. SO WHAT?: Not all action plans are created equal. Careful selection of behavioural targets and plan options and encouraging users to imagine the plan may enhance user engagement. Alternative behaviour change strategies should be available if key barriers cannot be addressed by the plan.

Embedding health literacy research and best practice within a socioeconomically and culturally diverse health service: A narrative case study and revised model of co-creation.

BACKGROUND: Health literacy interventions and research outcomes are not routinely or systematically implemented within healthcare systems. Co-creation with stakeholders is a potential vehicle through which to accelerate and scale up the implementation of innovation from research. METHODS: This narrative case study describes an example of the application of a co-creation approach to improve health literacy in an Australian public health system that provides hospital and community health services to one million people from socioeconomically and culturally diverse backgrounds. We provide a detailed overview of the value co-creation stages and strategies used to build a practical and sustainable working relationship between a University-based academic research group and the local health district focussed on improving health literacy. RESULTS: Insights from our experience over a 5-year period informed the development of a revised model of co-creation. The model incorporates a practical focus on the structural enablers of co-creation, including the development of a Community of Practice, co-created strategic direction and shared management systems. The model also includes a spectrum of partnership modalities (spanning relationship-building, partnering and co-creating), acknowledging the evolving nature of research partnerships and reinforcing the flexibility and commitment required to achieve meaningful co-creation in research. Four key facilitators of health literacy co-creation are identified: (i) local champions, (ii) co-generated resources, (iii) evolving capability and understanding and (iv) increasing trust and partnership synergy. CONCLUSION: Our case study and co-creation model provide insights into mechanisms to create effective and collaborative ways of working in health literacy which may be transferable to other health fields in Australia and beyond. PATIENT AND PUBLIC CONTRIBUTION: Our co-creation approach brought together a community of practice of consumers, healthcare professionals and researchers as equal partners.

Integrating consumer perspectives into a large-scale health literacy audit of health information materials: learnings and next steps.

BACKGROUND: Health information is less effective when it does not meet the health literacy needs of its consumers. For health organisations, assessing the appropriateness of their existing health information resources is a key step to addressing this issue. This study describes novel methods for a consumer-centred large-scale health literacy audit of existing resources and reflects on opportunities to further refine the method. METHODS: This audit focused on resources developed by NPS MedicineWise, an Australian not-for-profit that promotes safe and informed use of medicines. The audit comprised 4 stages, with consumers engaged at each stage: 1) Select a sample of resources for assessment; 2) Assess the sample using subjective (Patient Education Materials Assessment Tool) and objective (Sydney Health Literacy Lab Health Literacy Editor) assessment tools; 3) Review audit findings through workshops and identify priority areas for future work; 4) Reflect and gather feedback on the audit process via interviews. RESULTS: Of 147 resources, consumers selected 49 for detailed assessment that covered a range of health topics, health literacy skills, and formats, and which had varied web usage. Overall, 42 resources (85.7%) were assessed as easy to understand, but only 26 (53.1%) as easy to act on. A typical text was written at a grade 12 reading level and used the passive voice 6 times. About one in five words in a typical text were considered complex (19%). Workshops identified three key areas for action: make resources easier to understand and act on; consider the readers' context, needs, and skills; and improve inclusiveness and representation. Interviews with workshop attendees highlighted that audit methods could be further improved by setting clear expectations about the project rationale, objectives, and consumer roles; providing consumers with a simpler subjective health literacy assessment tool, and addressing issues related to diverse representation. CONCLUSIONS: This audit yielded valuable consumer-centred priorities for improving organisational health literacy with regards to updating a large existing database of health information resources. We also identified important opportunities to further refine the process. Study findings provide valuable practical insights that can inform organisational health actions for the upcoming Australian National Health Literacy Strategy.

COVID-19 messages targeting young people on social media: content analysis of Australian health authority posts.

Health authorities utilized social media during the COVID-19 pandemic to disseminate critical and timely health messages, specifically targeting priority groups such as young people. To understand how social media was used for this purpose, we investigated the content of COVID-19-related social media posts targeting young people (16-29 years old) shared by Australian health departments. Posts targeting young people with COVID-19 information were extracted from all eight Australian State and Territory health department Facebook, Instagram and TikTok accounts over 1 month of the Delta outbreak (September 2021) and analysed thematically. In total, 238 posts targeting young people were identified from 1059 COVID-19 posts extracted. All eight health departments used Facebook, five used Instagram and only one used TikTok. The majority of posts implicitly targeted young people; only 14.7% explicitly mentioned age or 'young people'. All posts included accompanying visuals; 77% were still images like photos or illustrations whilst 23% were moving images like videos and GIFs. Communication techniques included calls to action (63% of posts), responsive communication (32% of posts) and positive emotional appeal (31% of posts). Social marketing techniques catering to young people were used to varying extents despite receiving higher levels of engagement; 45% featured emojis whilst only 16% used humour, 14% featured celebrities and 6% were memes. Priority groups like ethnic/cultural groups and chronic health/disability communities were rarely targeted in this communication. The findings indicate a lack of health communication on social media directed towards young people, highlighting an opportunity for increased use of platforms like TikTok and trends popular with young people online.

Systematic review of health literacy champions: who, what and how?

Health literacy is an important aspect of equitable, safe, and high-quality care. For organizations implementing health literacy initiatives, using 'change champions' appears to be a promising strategy. This systematic review aimed to identify the empirical and conceptual research that exists about health literacy champions. We conducted the systematic literature search using MEDLINE, Embase, CINAHL, Scopus, and PubMed, with additional studies identified by searching references and citations of included studies and reviews of organizational health literacy. Seventeen articles were included in the final review (case studies, n = 9; qualitative research, n = 4; quasi-experimental, n = 2; opinion articles without case studies, n = 2). Using JBI critical appraisal tools, most articles had a high risk of bias. Often champions were not the focus of the article. Champions included staff across frontline, management, and executive levels. Only five studies described training for champions. Key champion activities related to either (i) increasing organizational awareness and commitment to health literacy, or (ii) influencing organizational strategic and operational planning. The most common output was ensuring that the organization's health information materials met health literacy guidelines. Articles recommended engaging multiple champions at varying levels within the organization, including the executive level. Limited funding and resources were key barriers. Two of four articles reported positive impacts of champions on implementation of health literacy initiatives. Overall, few of the articles described health literacy champions in adequate detail. More comprehensive reporting on this implementation strategy and further experimental and process evaluation research are needed to progress this area of research. This systematic review was registered with PROSPERO (CRD42022348816).

Question prompt lists and endorsement of question-asking support patients to get the information they seek-A longitudinal qualitative study.

INTRODUCTION: Question prompt lists (QPLs) have been found to support patients to ask questions and improve the information they receive from doctors. However, some QPL tools, which have been available online for almost 15 years, have little published data on their impact in real-world settings. This study's aim was to understand patients' attitudes and experiences accessing health information and to assess the impact of introducing two generic QPLs over 3 months. METHODS: A longitudinal qualitative study consisting of three semi-structured interviews over a three-month period was conducted with 31 purposively selected participants, adults ≥18 years, recruited online and through social media. Participants were introduced to two different QPLs currently available online ('Question Builder'; 'AskShareKnow'). Inductive thematic analysis of a total of 92 semi-structured telephone interviews was conducted during May-November 2020. RESULTS: Three main themes are described. (1) Participants described barriers and facilitators to accessing health information: navigating a complex health system; difficulty asking questions of their healthcare professionals and that they value doctors with good communication skills. (2) QPLs helped some participants recognize the role of question-asking in consultations, made them feel more empowered and helped them prepare and prioritize. (3) Participants wanted QPLs to be easier to use, be accessible when needed and that question-asking and QPLs should be normalized in medical consultations. CONCLUSIONS: Well-designed and easily accessible QPLs can empower people to ask questions and be more involved in decisions about their health care. Endorsement of question-asking in consultations by healthcare professionals and providing QPL tools at the point of contact with health services will be key to realizing the potential of QPLs. PATIENT OR PUBLIC CONTRIBUTION: This study was completed in conjunction with a reference group consisting of a consumer representative, representatives from the Australian Commission on Safety and Quality in Health Care, Healthdirect Australia Ltd., and the research team.

Seeking a deeper understanding of 'distributed health literacy': A systematic review.

BACKGROUND: Previous research suggests that it would be useful to view health literacy as a set of 'distributed competencies', which can be found dispersed through the individual's social network, rather than an exclusively individual attribute. However, to date there is no focused exploration of how distributed health literacy has been defined, conceptualized or assessed in the peer-reviewed literature. AIMS: This systematic review aimed to explore: (1) definitions and conceptual models of distributed health literacy that are available from the peer-reviewed literature; and (2) how distributed health literacy has been measured in empirical research. METHODS: We searched MEDLINE, Embase, CINAHL, PsycInfo, Scopus, ERIC and Web of Science using truncated versions of the keywords 'literacy' and 'distributed' (within five words' distance). We collated the definitions and conceptual models of distributed health literacy, and report on how health literacy has been measured in empirical research studies. Findings related to distributed health literacy from included manuscripts were synthesized using thematic synthesis. RESULTS: Of the 642 studies screened, 10 were included in this systematic review. The majority were empirical manuscripts reporting on qualitative research in one of five countries, with two reviews, one conceptual analysis and one quantitative study. Edwards' definition of distributed health literacy, which emphasizes the health literacy abilities, skills and practices of others that contribute to an individual's level of health literacy was widely applied in a variety of clinical and geographical settings. However, we did not identify any quantitative instruments which directly measured distributed health literacy. There was significant variability in questions used to explore the concept qualitatively, and discrepancies across studies in regard to (a) what constitutes distributed health literacy and what does not (e.g., general social support), and (b) the relationship between distributed health literacy and other constructs (e.g., public health literacy). CONCLUSION: Although there is a widely applied definition of distributed health literacy, our review revealed that the research space would benefit from the development of the concept, both theoretically for example via conceptual distinctions between distributed health literacy and other types of social support, and empirically for example through the development of a quantitative measurement instrument. PATIENT OR PUBLIC CONTRIBUTION: This paper is a systematic review and did not involve patients or the public.

Addressing the Health Literacy Needs and Experiences of Culturally and Linguistically Diverse Populations in Australia during COVID-19: A Research Embedded Participatory Approach.

Communicating health information quickly and effectively with diverse populations has been essential during the COVID-19 pandemic. However, health communication practices are often top down and poorly designed to rapidly meet diverse health literacy, cultural and contextual needs of the population. This paper describes a research and practice partnership focused on health literacy, multicultural health, and community engagement to address COVID-19 in Australia. The partnership became influential in the local and state-based response to the COVID-19 Delta outbreak in Western and South Western Sydney, an area of high cultural and socioeconomic diversity. Our approach, bringing together academic researchers and frontline health staff working with multicultural populations using a model of co-design and community engagement and action via the "4 M model," has been successful. It supported the Western Sydney community to achieve some of the highest vaccination rates in the world (>90%). There is an ongoing need to engage respectfully and responsively with communities to address specific challenges that they face and tailor communications and supports accordingly for successful pandemic management. Combining co-designed empirical research with community engagement and action ensures needs are robustly identified and can be appropriately addressed to support an effective public health response.

Positive outcomes associated with the COVID-19 pandemic in Australia.

ISSUE ADDRESSED: To investigate whether Australians have experienced any positive effects during the COVID-19 pandemic. METHODS: National online longitudinal survey. As part of a June 2020 survey, participants (n = 1370) were asked 'In your life, have you experienced any positive effects from the COVID-19 pandemic' (yes/no) and also completed the World Health Organisation-Five well-being index. Differences were explored by demographic variables. Free-text responses were thematically coded. RESULTS: Nine hundred sixty participants (70%) reported experiencing at least one positive effect during the COVID-19 pandemic. Living with others (P = .045) and employment situation (P < .001) at baseline (April) were associated with experiencing positive effects. Individuals working for pay from home were more likely to experience positive effects compared to those who were not working for pay (aOR = 0.45, 95% CI: 0.32, 0.63, P < .001) or who were working for pay outside the home (aOR = 0.40, 95% CI: 0.28, 0.58, P < .001). 54.2% of participants reported a sufficient level of well-being, 23.2% low well-being and a further 22.6% very low well-being. Of those experiencing positive effects, 945/960 (98%) provided an explanation. The three most common themes were 'Family time' (33%), 'Work flexibility' (29%) and 'Calmer life' (19%). CONCLUSIONS: A large proportion of participants reported positive effects resulting from changes to daily life due to the COVID-19 pandemic in Australia. SO WHAT: The needs of people living alone, and of those having to work outside the home or who are unemployed, should be considered by health policymakers and employers in future pandemic preparedness efforts.

Impact of diagnostic labels and causal explanations for weight gain on diet intentions, cognitions and emotions: An experimental online study.

Disease labels and causal explanations for certain symptoms or conditions have been found to have both positive and negative outcomes. For example, a diagnosis of polycystic ovary syndrome could conceivably motivate a person to engage in weight management, which is the recommended first line treatment. Furthermore, doctors may feel more comfortable discussing weight when linked to a medical condition. However, such a diagnosis may elicit feelings of increased anxiety, perceived severity and reduced sense of control. Mixed findings are also evident for impacts of genetic explanations on psychosocial outcomes and behaviours. Using hypothetical scenarios presented in an online survey, participants were asked to imagine that they were visiting their general practitioner due to experiencing weight gain, irregular periods, and more pimples than usual. Participants were randomised to receive different diagnostic labels ('polycystic ovary syndrome', 'weight' or no label/description) and causal explanations (genetic or environmental) for their symptoms. Primary outcomes assessed included intention to eat a healthier diet and perceived personal control of weight (average score on scale 1-7 across 3 items). Secondary outcomes included weight stigma, blameworthiness, worry, perceived severity, self-esteem, belief diet will reduce risks and menu item choice. Participants were 545 females aged 18-45 years (mean = 33 years), living in Australia, recruited through a national online recruitment panel. The sample was overweight on average (BMI = 26.5). Participants reporting a PCOS diagnosis were excluded from analyses. We found no main effects of the label or explanation on intention to eat healthier or perceived personal control of weight. For secondary outcomes, those given the genetic explanation reported higher weight stigma (range 1-7; MD = 0.27, 95%CI: 0.011,0.522), greater worry (range 1-7; MD = 0.27, 95%CI: 0.037,0.496), lower self-esteem (range 10-40; MD = 1.26, 95%CI: 0.28 to 2.24) and perceived their weight as more severe (range 1-7; MD = 0.28; 95%CI: 0.05,0.52) than those given the environmental explanation, averaged over disease label given. These findings further highlight the deleterious effects of genetic explanations on psychosocial outcomes and reinforce the need for caution when communicating the aetiology of weight-related health issues.

COVID-19 Misinformation Trends in Australia: Prospective Longitudinal National Survey.

BACKGROUND: Misinformation about COVID-19 is common and has been spreading rapidly across the globe through social media platforms and other information systems. Understanding what the public knows about COVID-19 and identifying beliefs based on misinformation can help shape effective public health communications to ensure efforts to reduce viral transmission are not undermined. OBJECTIVE: This study aimed to investigate the prevalence and factors associated with COVID-19 misinformation in Australia and their changes over time. METHODS: This prospective, longitudinal national survey was completed by adults (18 years and above) across April (n=4362), May (n=1882), and June (n=1369) 2020. RESULTS: Stronger agreement with misinformation was associated with younger age, male gender, lower education level, and language other than English spoken at home (P<.01 for all). After controlling for these variables, misinformation beliefs were significantly associated (P<.001) with lower levels of digital health literacy, perceived threat of COVID-19, confidence in government, and trust in scientific institutions. Analyses of specific government-identified misinformation revealed 3 clusters: prevention (associated with male gender and younger age), causation (associated with lower education level and greater social disadvantage), and cure (associated with younger age). Lower institutional trust and greater rejection of official government accounts were associated with stronger agreement with COVID-19 misinformation. CONCLUSIONS: The findings of this study highlight important gaps in communication effectiveness, which must be addressed to ensure effective COVID-19 prevention.

Effects of health literacy, screening, and participant choice on action plans for reducing unhealthy snacking in Australia: A randomised controlled trial.

BACKGROUND: Low health literacy is associated with poorer health outcomes. A key strategy to address health literacy is a universal precautions approach, which recommends using health-literate design for all health interventions, not just those targeting people with low health literacy. This approach has advantages: Health literacy assessment and tailoring are not required. However, action plans may be more effective when tailored by health literacy. This study evaluated the impact of health literacy and action plan type on unhealthy snacking for people who have high BMI or type 2 diabetes (Aim 1) and the most effective method of action plan allocation (Aim 2). METHODS AND FINDINGS: We performed a 2-stage randomised controlled trial in Australia between 14 February and 6 June 2019. In total, 1,769 participants (mean age: 49.8 years [SD = 11.7]; 56.1% female [n = 992]; mean BMI: 32.9 kg/m2 [SD = 8.7]; 29.6% self-reported type 2 diabetes [n = 523]) were randomised to 1 of 3 allocation methods (random, health literacy screening, or participant selection) and 1 of 2 action plans to reduce unhealthy snacking (standard versus literacy-sensitive). Regression analysis evaluated the impact of health literacy (Newest Vital Sign [NVS]), allocation method, and action plan on reduction in self-reported serves of unhealthy snacks (primary outcome) at 4-week follow-up. Secondary outcomes were perceived extent of unhealthy snacking, difficulty using the plans, habit strength, and action control. Analyses controlled for age, level of education, language spoken at home, diabetes status, baseline habit strength, and baseline self-reported serves of unhealthy snacks. Average NVS score was 3.6 out of 6 (SD = 2.0). Participants reported consuming 25.0 serves of snacks on average per week at baseline (SD = 28.0). Regarding Aim 1, 398 participants in the random allocation arm completed follow-up (67.7%). On average, people scoring 1 SD below the mean for health literacy consumed 10.0 fewer serves per week using the literacy-sensitive action plan compared to the standard action plan (95% CI: 0.05 to 19.5; p = 0.039), whereas those scoring 1 SD above the mean consumed 3.0 fewer serves using the standard action plan compared to the literacy-sensitive action plan (95% CI: -6.3 to 12.2; p = 0.529), although this difference did not reach statistical significance. In addition, we observed a non-significant action plan × health literacy (NVS) interaction (b = -3.25; 95% CI: -6.55 to 0.05; p = 0.054). Regarding Aim 2, 1,177 participants across the 3 allocation method arms completed follow-up (66.5%). There was no effect of allocation method on reduction of unhealthy snacking, including no effect of health literacy screening compared to participant selection (b = 1.79; 95% CI: -0.16 to 3.73; p = 0.067). Key limitations include low-moderate retention, use of a single-occasion self-reported primary outcome, and reporting of a number of extreme, yet plausible, snacking scores, which rendered interpretation more challenging. Adverse events were not assessed. CONCLUSIONS: In our study we observed nominal improvements in effectiveness of action plans tailored to health literacy; however, these improvements did not reach statistical significance, and the costs associated with such strategies compared with universal precautions need further investigation. This study highlights the importance of considering differential effects of health literacy on intervention effectiveness. TRIAL REGISTRATION: Australia and New Zealand Clinical Trial Registry ACTRN12618001409268.

People's Experiences and Satisfaction With Telehealth During the COVID-19 Pandemic in Australia: Cross-Sectional Survey Study.

BACKGROUND: In response to the COVID-19 pandemic, telehealth has rapidly been adopted to deliver health care services around the world. To date, studies have not compared people's experiences with telehealth services during the pandemic in Australia to their experiences with traditional in-person visits. OBJECTIVE: This study aimed to compare participants' perceptions of telehealth consults to their perceptions of traditional in-person visits and investigate whether people believe that telehealth services would be useful after the pandemic. METHODS: A national, cross-sectional, community survey was conducted between June 5 and June 12, 2020 in Australia. In total, 1369 participants who were aged ≥18 years and lived in Australia were recruited via targeted advertisements on social media (ie, Facebook and Instagram). Participants responded to survey questions about their telehealth experience, which included a free-text response option. A generalized linear model was used to estimate the adjusted relative risks of having a poorer telehealth experience than a traditional in-person visit experience. Content analysis was performed to determine the reasons why telehealth experiences were worse than traditional in-person visit experiences. RESULTS: Of the 596 telehealth users, the majority of respondents (n=369, 61.9%) stated that their telehealth experience was "just as good as" or "better than" their traditional in-person medical appointment experience. On average, respondents perceived that telehealth would be moderately useful to very useful for medical appointments after the COVID-19 pandemic ends (mean 3.67, SD 1.1). Being male (P=.007), having a history of both depression and anxiety (P=.016), and lower patient activation scores (ie, individuals' willingness to take on the role of managing their health/health care) (P=.036) were significantly associated with a poor telehealth experience. In total, 6 overarching themes were identified from free-text responses for why participants' telehealth experiences were poorer than their traditional in-person medical appointment experiences, as follows: communication is not as effective, limitations with technology, issues with obtaining prescriptions and pathology results, reduced confidence in their doctor, additional burden for complex care, and inability to be physically examined. CONCLUSIONS: Based on our sample's responses, telehealth appointment experiences were comparable to traditional in-person medical appointment experiences. Telehealth may be worthwhile as a mode of health care delivery while the pandemic continues, and it may continue to be worthwhile after the pandemic.

Qualitative and Quantitative Evaluation of an Innovative Primary and Secondary Diabetes Clinic in Western Sydney.

Introduction: Western Sydney Diabetes (WSD) established an innovative diabetes service in May 2020, using virtual and in-person care, linking primary care with the diabetes specialist team. This study evaluated the service's feasibility using qualitative and quantitative methods. Method: Evaluation included: 1) thematic analysis of interviews and workshops with patients and health professionals (n = 28); 2) quantitative analysis of records of patients admitted July 2020-June 2021 (n = 110). Results: Key themes related to 1) benefits: convenient location, access to integrated care, advantages of virtual care; 2) challenges: hard for patients to ask questions, technology issues; 3) confidence: shared care decision making, multidisciplinary team; and 4) future directions: additional multidisciplinary services, expanded insulin stabilisation service, promotion.Improvements between baseline and 3 months included 1.3% reduction in HbA1c (p < 0.05). Sulfonylurea dropped by 25% between initial appointment and follow-up, and GLP1RA/SGLT2i use increasing by 30% (p < 0.05). The clinic covered costs using Medicare billings and Nationally Weighted Activity Units. Discussion: The findings suggest this integrated care model was feasible and perceived as beneficial by both patients and providers. The clinic offers a promising model of practice that could be developed further to roll out in other regions for rural delivery of care.

Could nudges reduce health literacy disparities in CVD prevention? An experiment using alternative messages for CVD risk assessment screening.

OBJECTIVE: To explore the effect of SMS nudge messages amongst people with varying health literacy on their intention to get a Heart Health Check. METHODS: A 3 (Initial SMS: scarcity, regret, or control nudge) x 2 (Reminder SMS: social norm or control nudge) factorial design was used in a hypothetical online experiment. 705 participants eligible for Heart Health Checks were recruited. Outcomes included intention to attend a Heart Health Check and psychological responses. RESULTS: In the control condition, people with lower health literacy had lower behavioural intentions compared to those with higher health literacy (p = .011). Scarcity and regret nudges closed this gap, resulting in similar intention levels for lower and higher health literacy. There was no interactive effect of the reminder nudge and health literacy (p = .724). CONCLUSION: Scarcity and regret nudge messages closed the health literacy gap in behavioural intentions compared to a control message, while a reminder nudge had limited additional benefit. Health literacy should be considered in behavioural intervention evaluations to ensure health equity is addressed. PRACTICE IMPLICATIONS: Results informed a national screening program using a universal precautions approach, where messages with higher engagement for lower health literacy groups were used in clinical practice.

What generative AI means for trust in health communications.

ABSTRACTLarge language models are fundamental technologies used in interfaces like ChatGPT and are poised to change the way people access and make sense of health information. The speed of uptake and investment suggests that these will be transformative technologies, but it is not yet clear what the implications might be for health communications. In this viewpoint, we draw on research about the adoption of new information technologies to focus on the ways that generative artificial intelligence (AI) tools like large language models might change how health information is produced, what health information people see, how marketing and misinformation might be mixed with evidence, and what people trust. We conclude that transparency and explainability in this space must be carefully considered to avoid unanticipated consequences.

Multiple Automated Health Literacy Assessments of Written Health Information: Development of the SHeLL (Sydney Health Literacy Lab) Health Literacy Editor v1.

Producing health information that people can easily understand is challenging and time-consuming. Existing guidance is often subjective and lacks specificity. With advances in software that reads and analyzes text, there is an opportunity to develop tools that provide objective, specific, and automated guidance on the complexity of health information. This paper outlines the development of the SHeLL (Sydney Health Literacy Lab) Health Literacy Editor, an automated tool to facilitate the implementation of health literacy guidelines for the production of easy-to-read written health information. Target users were any person or organization that develops consumer-facing education materials, with or without prior experience with health literacy concepts. Anticipated users included health professionals, staff, and government and nongovernment agencies. To develop this tool, existing health literacy and relevant writing guidelines were collated. Items amenable to programmable automated assessment were incorporated into the Editor. A set of natural language processing methods were also adapted for use in the SHeLL Editor, though the approach was primarily procedural (rule-based). As a result of this process, the Editor comprises 6 assessments: readability (school grade reading score calculated using the Simple Measure of Gobbledygook (SMOG)), complex language (percentage of the text that contains public health thesaurus entries, words that are uncommon in English, or acronyms), passive voice, text structure (eg, use of long paragraphs), lexical density and diversity, and person-centered language. These are presented as global scores, with additional, more specific feedback flagged in the text itself. Feedback is provided in real-time so that users can iteratively revise and improve the text. The design also includes a "text preparation" mode, which allows users to quickly make adjustments to ensure accurate calculation of readability. A hierarchy of assessments also helps users prioritize the most important feedback. Lastly, the Editor has a function that exports the analysis and revised text. The SHeLL Health Literacy Editor is a new tool that can help improve the quality and safety of written health information. It provides objective, immediate feedback on a range of factors, complementing readability with other less widely used but important objective assessments such as complex and person-centered language. It can be used as a scalable intervention to support the uptake of health literacy guidelines by health services and providers of health information. This early prototype can be further refined by expanding the thesaurus and leveraging new machine learning methods for assessing the complexity of the written text. User-testing with health professionals is needed before evaluating the Editor's ability to improve the health literacy of written health information and evaluating its implementation into existing Australian health services.