Improve Health Outcomes Research Articles

Addressing Regional Health Disparities: Estonia’s Approach to Burden of Disease Studies

Abstract Background Estonia, a small country defined by NUTS2 regions, faces challenges in assessing health disparities across its different counties when using global health data such as the Global Burden of Disease (GBD). Recognizing this limitation, Estonia initiated independent burden of disease studies in Estonia since 2013, with the findings being biennially published through the health statistics database of the National Institute for Health Development. The objective of this research is to assess the strengths and limitations inherent in various methods when calculating the years of life lost due to premature mortality (YLLs). Methods The approach to assess the burden of disease in Estonia differs somewhat from the Global Burden of Disease (GBD) methodology. One key distinction lies in our utilization of a national life expectancy table and our presentation of results at the LAU1 regional level. These burden of disease studies utilize region-specific life tables supplied by Statistics Estonia, categorized by county and gender, to compute Years of Life Lost (YLLs), offering an opportunity to pinpoint and tackle regional health issues. Results Since the calculation of YLL (Years of Life Lost) in these past studies has relied upon Estonia’s regionalized life tables, categorized by county and gender, the results exhibit substantial disparities when juxtaposed with the Global Burden of Disease study conducted by the Institute for Health Metrics and Evaluation (IHME). Conclusions This research aims to delve deeper into these variations, examining the challenges related to methodology, the availability, and the quality of data, and most importantly, knowledge translation. Our own burden of disease studies empowers us to formulate informed policy recommendations precisely tailored to the distinctive needs of each county, thereby facilitating targeted interventions, and driving improvements in overall public health outcomes.

DNA methylation in the TXNIP gene is associated with type 2 diabetes in Pacific Peoples living in NZ

Abstract Background Pacific Peoples living in Aotearoa New Zealand (NZ) have higher rates of type 2 diabetes (T2D) and have benefited less from improvements in cardiovascular health outcomes when compared with other populations in NZ. DNA methylation markers of T2D have been identified in non-Pacific populations and could be used to monitor the cumulative effects of T2D on cardiovascular disease risk. However, no study has yet investigated the relationships between T2D and DNA methylation in Pacific Peoples living in NZ. Purpose This study aimed to quantify the relationship between DNA methylation and T2D in two cohorts of Pacific Peoples living in NZ. Methods Whole-blood DNA methylation at over 850,000 loci was measured on Illumina MethylationEPIC arrays in 288 Pacific participants from the Pasifika Heart Study (PHS, n=191), a community cohort, and the Multi-Ethnic NZ Study of Acute Coronary Syndromes (MENZACS, n=97), a cohort of patients with acute coronary syndromes. In the PHS, the median age was 41 years, and 98 (51%) participants were female. In MENZACS, the median age was 53 years, and 18 (19%) participants were female. In both cohorts, T2D cases were defined by either previous diagnosis (n=58) or had an HbA1c measurement >58 mmol/mol (n=7). We compared 65 participants with T2D and 223 participants without T2D of Samoan (n=116), Tongan (n=66), Fijian (n=61), Cook Island Māori (n=22), Niuean (n=9), or of Other/Multiple Pacific (n=14) ethnicity in a meta epigenome-wide association study (EWAS). EWAS comparisons were adjusted for age, sex, and imputed blood cell composition. We compared the difference in means at differentially methylated loci between the European and Pacific MENZACS participants using a two-sample z statistic. For the 525 European participants, 85 had T2D, the median age was 57 years, and 149 (28%) were female. Results One locus cg19693031, in the thioredoxin interacting protein (TXNIP) gene, exhibited differential methylation between those with T2D and those without in the meta EWAS (false discovery rate =6.9x10-9). In the PHS we observed a mean reduction in cg19693031 methylation of 7.0% (95% CI, 5.0, 8.9) between those with T2D and those without. Similarly in the MENZACS Pacific participants we observed a mean reduction in cg19693031 methylation of 10.9% (95% CI, 7.6, 12.4) between those with T2D and those without. The MENZACS European participants with T2D had a mean reduction in cg19693031 methylation of 6.5% (95% CI, 5.3, 7.7, p<0.001) compared to those without T2D. The difference in means in T2D cases and controls between MENZACS Pacific and European participants was non-significant (p =0.08). Conclusion DNA methylation at cg19693031 is associated with T2D in Pacific Peoples living in NZ and may be a sensitive marker of T2D in Pacific Peoples with acute coronary syndromes. DNA methylation at this locus may provide valuable information on the relationship between T2D and cardiovascular disease.Miami plot of Pacific T2D EWAST2D methylation by population in MENZACS

A Review of the Public Health Literature Examining the Roles of Socioeconomic Status and Race/Ethnicity on Health Outcomes in the United States.

This review of reviews examines the role of socioeconomic status (SES) indicators on health inequities among different racial and ethnic groups in the United States (US) between 2019 and 2023. Of the 419 articles, 27 reviews met the inclusion criteria and were aggregated into seven categories: COVID-19 and respiratory pandemic disparities; neighborhoods, gentrification, and food environment; surgical treatments; mental, psychological, and behavioral health; insurance, access to care, and policy impact; cancers; and other topics. The findings revealed a documented impact of SES indicators on racial/ethnic health inequities, with racial/ethnic minority communities, especially Black Americans, consistently showing poor health outcomes associated with lower SES, regardless of the outcome or indicator examined. These findings call attention to the importance of policies and practices that address socioeconomic factors and systemic racial/ethnic inequities affecting the social determinants of health affecting racial/ethnic inequities to improve health outcomes in the US population.

3.Y.1. Genomics in EU Health Systems: Navigating the Opportunities and Challenges for Personalized Health

Abstract The rapid advancements in genomics research offer significant promise for revolutionizing healthcare, potentially reshaping how we approach disease prevention, diagnosis, and treatment. However, unlocking the full potential of genomics requires more than just scientific breakthroughs-it necessitates translating these discoveries into clinical practice. This involves bridging the gap between research and healthcare implementation, addressing challenges such as technical infrastructure, ethical and legal frameworks, healthcare professional competencies, and citizen engagement. As we navigate the evolving landscape of individualized patient care, it becomes increasingly crucial to implement effective risk stratification methodologies and personalized preventive measures. Among these methodologies, polygenic risk scores are gaining prominence. However, the adoption of these innovations necessitates careful consideration of their clinical utility, including their feasibility, cost-effectiveness, and acceptability in diverse healthcare settings. Validating these approaches from multiple perspectives is essential to ensure their effectiveness in real-world clinical practice. Integrating genomic sequencing data with health records presents an invaluable resource that can enhance patient outcomes and drive further research. The creation of infrastructures and initiatives such as those carried out by projects like the European Health Data Space and Genomic Data Infrastructure are fundamental to unleash the enormous potential of data-driven innovation. To date, the implementation of genomics in medical practice varies across European countries, with discrepancies in adoption levels across different aspects of healthcare, including prevention, diagnosis, and personalized treatment. Addressing these disparities and promoting standardized approaches to genomic medicine implementation are crucial steps toward ensuring equitable access and maximizing the benefits of genomics for all individuals across Europe. This workshop aims to provide decision-makers, healthcare professionals and researchers with a comprehensive overview of the state-of-the-art for the adoption of personalized approaches, and of the maturity of genomic medicine practices within different healthcare systems as well outlining the benefits of data accessibility for research. The speakers are coordinators and partners of EU projects as B1MG (Beyond One Million Genomes), Prophet (A PeRsOnalized Prevention roadmap for the future Healthcare), EHDS (European Health Data Space), GDI (European Genomic Data Infrastructure), GoE (Genome of Europe) and CanHeal. Key messages • Genomics has the potential to improve health outcomes. • Equal access to genomic medicine critical for personalized health. Ensuring equity, while considering feasibility.

9.D. Practice session: Luton, a Marmot town – Lessons from using a whole-system approach to tackle health equity

Abstract Objective To share learnings from our Health Equity Town journey, including opportunities and challenges. To allow stimulating discussion on whole system approaches to health inequalities and the social determinants of health. To include discussion on where and how public health influences or leads, the importance of impact measures, and of shared vision. Added value Luton’s 2040 strategy, and being a health equity town, are long term visions. It has been 18 months since we launched Luton’s health equity ambition, and during that time we have taken great strides forward in how we deliver against the Marmot principles and create a movement around health equity in Luton. Organisations nationally and internationally are grappling with approaches to doing this. This workshop will provide an opportunity to discuss some of the key learnings, challenges and opportunities so far in taking this approach, and how to continue to maintain momentum and buy in across sectors at local level. The workshop will include discussion on the following: 1. Taking a whole-system approach to health inequalities - working across system leaders and strategic partners including health, care, voluntary sector, businesses, housing, police and others, as well as across the local authority departments. This takes clear articulation of the problem and actions, as well as clarity on where public health professionals are most effective to support, influence, and lead. 2. There is increasing recognition of the building blocks of health and the importance of ensuring action to improve health outcomes is taken across the whole system to tackle health inequalities - including employment, education, and housing. Discussion on specific actions being taken in some of these areas to tackle health inequalities as part of the health equity town approach. 3. Working with the community to understand health inequalities. 4. How we will measure progress. 5. The concept of proportionate universalism is now well known, however making this a reality is a challenge. 6. East London Foundation Trust, the mental health provider in Luton, is also embedding Marmot Policy objectives across the Trust, and is a key partner in Luton. Work is underway to establish projects with joint aims such as skills passport to increase employment in mental health service users. Format Presentation followed by opportunity for question and answer and discussion with panel. Key messages • Whole system approaches to tackling health equity are possible through shared vision and coordinated approach. • Action across the building blocks of health is vital, the complex and long term nature is challenging.

1.D. Scientific session: Cross national perspectives: the many faces of health inequities

Abstract Health inequities come in different forms in different countries, often times based on country and population demographics, and exist around the world. Ample evidence has revealed how inequities to accessing and utilizing health services can have detrimental consequences for certain populations and exist across numerous strata including geography, income, race and ethnicity, age, and gender. This workshop identifies different examples of inequities across countries, and their impact on health outcomes and health care use. Health inequities, in whichever form, lead to one common outcome: worse health outcomes and lower life expectancy for those who are marginalized by inequities compared to their counterparts. This session will dive into the research on health inequities by geography (rural versus non rural), income (low/average income versus high income), race/ethnicity, and among people with substance use disorder (SUD) particularly those who use and inject drugs with the goal of 1) exposing the stark disparities in health care among these populations; 2) discussing lessons which can be learned and adapted from other countries; and 3) discussing promising solutions and approaches to restoring justice and access to care for all. The panel will be composed of 1 moderator and up to 5 panelists. Panelists are experts in their fields, established researchers and practitioners, and either employees of the Commonwealth Fund or alumni of the Harkness Fellowship from various high-income countries including Canada, Germany, Norway, the United Kingdom, and the United States. A moderator from the Commonwealth Fund will frame the discussion by introducing a deep dive into affordability barriers utilizing the Commonwealth’s Fund International Health Policy Survey of nine countries. Munira Gunja, senior researcher on the Commonwealth Fund’s International program, will present how a lack of affordability in health care is a growing threat and will likely widen the disparities by income without serious health reforms. Neil MacKinnon, Senior Harkness Fellow from Canada, will continue the discussion focusing on an analysis he and his team at Augusta University completed on disparities in health care by geography in eleven (primarily European) countries. The second panelist, Sidra Khan-Gokkaya, the 2023-2024 Harkness Fellow from Germany, will present on her study of racism in health care in Germany and the U.S. Another of the 2023-2024 Harkness Fellows, Claire Wilson, will present on her research of racial disparities in perinatal mental illness in the U.K. and U.S. Lastly, the fifth panelist, Ane Kristine Finbråten will discuss the unique health needs of those with SUD and the inequities faced by people who use and inject drugs as they navigate health care. Each panelist will speak for roughly 8 minutes, with 20 minutes saved for moderator and audience questions. Key messages • All stakeholders, including patients, public health systems, and health systems benefit when all populations are able to access comprehensive health services. • Health inequities come in many different forms, and to improve health outcomes, we must address them at all levels.

Primary clinics achieving regular follow-up of patients: Teamwork aspects among healthcare staff

Abstract Backgrounds Studies have shown that more temporally regular primary care visits, or visits more evenly spaced in time, are associated with improved patient outcomes. However, no study has examined what clinic staff can do to encourage greater temporal regularity (TR). We aimed to understand factors related to healthcare staff dynamics that contribute to higher TR for adults with chronic conditions. Methods The study is part of a two-stage mixed methods project. In the first stage, we ranked clinics according to their TR level. In this qualitative stage, we interviewed staff at 6 clinics with extremely high TR (regular follow-up with primary care physician, or PCP), and 6 clinics with extremely low TR. Interviews were conducted with 15 PCPs, 12 nurses, 15 administrative staff, and 4 pharmacists between July 2022- September 2023. Interviews were audiotaped, transcribed, and analyzed using Atlas qualitative analysis software. Findings Themes emerged regarding best ways to promote regular follow-up of patients with chronic conditions. Strategies included having a defined system to reach out to no-show patients, having routine staff meetings to discuss no-shows, adapting workflow to meet the needs of challenging patients, dealing with bureaucracy on patients’ behalf, informal channels of communication with patients, and consulting social workers more often. Relational aspects among staff members at high TR clinics emphasized flat as opposed to hierarchical relationships, as well as high levels of teamwork. Conclusions Teamwork between staff members in primary care settings can contribute to more proactive care delivery, with greater potential to prevent long-term complications. The findings suggest that a high-functioning multidisciplinary care team that focuses on creating the right sorts of interactions and teamwork among staff members, and uses proactive strategies to help engage patients, can contribute to more temporally regular care and thus improved outcomes. Key messages • Stronger teamwork and flat relationships between staff members in primary care settings can result in proactive medicine and developing strategies that improve patients’ regular follow-ups. • Programs focusing on how medical staff utilize their dynamics/relations to improve health outcomes and how doctors’ role align with the staff, can facilitate regular follow-ups of challenging patients.

Diagnostic pathways and outcomes by comorbidity in cancer patients: a study in Northern Italy

Abstract Background Pre-existing chronic conditions can influence cancer diagnosis and outcomes. The study aimed to examine variations in diagnostic pathways and outcomes in colorectal cancer (CRC) patients by comorbidity status and socio-demographic characteristics in the provinces of Milan and Lodi, Northern Italy. Methods A population-based cohort study using linked administrative health data from the Agency for Health Protection (ATS) of Milan was conducted on individuals aged ≥18 years diagnosed with CRC in 2014-2017. We examined pathways to cancer diagnosis, stage at diagnosis and short-term mortality by specific comorbidities and sociodemographic factors. Results Among the 5,272 colon cancer and 2,120 rectal cancer patients, 43.9% and 61.5%, respectively, had at least one pre-existing comorbidity, most frequently hypertension (52.7% and 49.9%) and cardiovascular disease (CVD, 23.2% and 18.5%). Cancer diagnostic pathways included screening (4.1% colon and 4.4% rectal cancer patients), EP (22.8% and 12.6%) and inpatient/outpatient admission (73.1% and 82.9%). At multivariable logistic regression, patients with pre-existing cerebrovascular or neurological diseases had significantly higher odds of EP for CRC. In the multinomial logistic regression analysis, the odds of EP were significantly higher for patients aged <50 or ≥ 80 (vs 60-69), belonging to the highest deprivation group and being widowed (vs married). The odds of screen-detected CRC were lower for patients with multimorbidity (2 vs 0 comorbidities: adjusted OR = 0.32, 95% CI 0.14-0.75). 30-day and one-year mortality were higher in colon cancer patients with EP vs inpatient/outpatient (aOR=2.46, 95%CI 1.95-3.09; aOR=2.02, 95%CI 1.74-2.35 respectively). As the number of chronic conditions increased, mortality increased especially at one year. One-year mortality was also higher for rectal cancer patients with 3+ comorbidities (vs no comorbidities). Key messages • Patients with pre-existing chronic conditions had a lower likelihood of screening, higher odds of emergency CRC diagnosis and higher mortality. EPs occur in one in five CRC patients. • Tailored interventions might be needed to facilitate CRC screening, reducing emergency diagnoses and improving health outcomes for the large number of patients with chronic conditions.

Assessment of poor cardiovascular health metrics and related disparities among cancer patients in the United States: a nationwide analysis of over 1.5 million individuals

Abstract Background Cancer, a major health challenge and a leading cause of mortality in the United States, significantly impacts cardiovascular health (CVH). The American Heart Association (AHA) emphasizes several CVH metrics to improve health outcomes, yet disparities in CVH persist nationwide. The specific impact of these disparities on the CVH of individuals with cancer, however, has yet to be fully explored. Purpose This study aims to utilize a detailed and nationally representative dataset from the U.S. to assess the prevalence of poor CVH among adults with a cancer diagnosis, focusing on uncovering sociodemographic disparities. Methods We utilized self-reported data from the Behavioral Risk Factor Surveillance System (2011 to 2019). This system, a state-based telephone survey, gathering data on cancer diagnoses, CVH metrics, and sociodemographic characteristics. We measured CVH through a composite score (0-7) based on the AHA’s seven CVH indicators: hypertension, high cholesterol, smoking, body mass index, diabetes, physical activity, and fruits and vegetables consumption. Individuals scoring between 0 and 2 were defined as having poor CVH. Multivariable generalized linear models within a binomial framework was applied to estimate adjusted prevalence ratios (aPRs) for poor CVH among cancer patients. Results Of 1,575,187 U.S. adults (representing an estimated 154.5 million; 50.7% female, 10.9% non-Hispanic black), 7.8% reported a cancer diagnosis between 2011 and 2019. Adjusted* findings show that having cancer (vs without) associated with a 16% higher prevalence of poor CVH (aPR=1.16; 95% CI [1.12-1.19]). Age-specific analysis revealed increased prevalence of poor CVH in middle-aged (45-64; aPR=3.55) and elderly (≥65; aPR=3.58) cancer patients, indicating a 255% and 358% rise, respectively, with p_interaction <0.001. Female cancer patients experienced a 22% lower prevalence of poor CVH than males (aPR=0.78; p_interaction <0.001). Non-Hispanic black cancer patients faced a 42% higher prevalence of poor CVH than their non-Hispanic white counterparts (aPR=1.42; p_interaction=0.001). Higher-income and education levels associated with 52% and 53% reduced prevalence of poor CVH, respectively (p_interaction <0.001; Table). Conclusions Our research identifies a strong correlation between cancer and deteriorating CVH metrics across U.S. adults, with pronounced variations based on sociodemographic factors. Specifically, the prevalence of poor CVH is substantially higher among cancer patients who are middle-aged, elderly, or identify as non-Hispanic Black, compared to other groups. Conversely, female cancer patients and those with a higher socioeconomic status appear to have a reduced risk of poor CVH. These outcomes stress the critical need for targeted, equitable public health initiatives that address both the cardiovascular and broader health needs of cancer patients, particularly among those most vulnerable.Table1

Explainable machine learning and multi-modal data for predicting readmission in patients with heart failure

Abstract Background Cardiovascular diseases (CVDs) are among the leading causes of mortality and morbidity globally, with an estimated 1 million hospital admissions for CVD in England in 2019/20, leading to 5.5 million bed days. In addition, patients with CVDs have a notably high rate of hospital readmission, with approximately one in four patients experiencing heart failure (HF) being readmitted within one month of discharge. We explored whether machine learning models trained on electrocardiogram (ECG) and patient electronic health records (EHRs) can support decision-making and risk management and ultimately improve health outcomes for HF patients. Purpose The project aims to develop a machine learning model to predict health outcomes for HF patients. To test the hypothesis, we trained and tested an explainable machine learning model to predict the risk of mortality and hospital readmission rate for HF patients. Methods We used EHR data and tabulated ECG records to train an XGBoost model to predict the risk of 30-day mortality and 30-day hospital readmission for HF patients. EHR data from a cohort of 2,868 patients with their ECG records were used for model development. We extracted a total of 78 features from the ECG data, such as heart rate variability (HRV), P-wave durations, and QT intervals. These ECG features were combined with coded and free-text EHR data (e.g., demographic information, diagnosis, medication history, and lab results) and used as tabular inputs to the XGBoost model. Of the 2,868 patients, an internal set of 574 patients stratified by age, sex, and health outcomes (30-day mortality and 30-day hospital readmission) were held out for testing. Results Among 2,868 HF patients with 10-year follow-up, 1065 patients were reported for mortality or hospital readmission within 30 days of discharge. When the machine learning model was trained on ECG data in addition to EHR data, the model was able to predict patient mortality and hospital readmission rate in the test set with an area under the curve (AUC) of 0.91 and 0.70, respectively. For mortality prediction, the model achieved a sensitivity and specificity of 0.81 and 0.82, respectively, when employing an operating point with minimum difference between the sensitivity and specificity. When the threshold was adjusted to favor sensitivity at 0.91, the model specificity decreased to 0.74. The machine learning model also identified high sensitive troponin levels, QT dispersion, and lactate dehydrogenase levels as features of high importance for predicting the outcomes for HF patients. Conclusions Our developed machine learning model was able to predict mortality and readmission risks in HF patients using multi-modal data. Upon further validation, the machine learning model has the potential to be tested for supporting clinical decision-making and risk management for HF patients.ROC CurveFeature Importance

Feasibility Trial of an Online Expressive Writing Intervention for Young Adult Cancer Survivors.

Purpose: Many young adult (YA) breast cancer survivors (BCS) experience psychosocial distress during and after treatment, but do not utilize supportive care resources to maximize their health outcomes. The purpose of this pilot study was to test the feasibility and acceptability of a brief, internet-based expressive writing (EW) intervention intended to improve psychosocial health among YA BCS. Methods: Thirty YA BCS were remotely recruited via a hospital patient database and randomly assigned to the EW (n = 20) or neutral writing (n = 10) group. The EW intervention included delivery of positive messages and a weekly 30-minute EW activity for 3 weeks. Feasibility, acceptability, patient-reported satisfaction, and health outcomes were evaluated at baseline and 1-month follow-up. Results: The database-focused recruitment strategies (40% response) appeared to be feasible. Almost all (93%) participants adhered to at least one writing task and 67% to at least two writing tasks. Participants perceived the study as enjoyable and helpful for reducing stress. The difference in QOL of the intervention versus control group was medium to large (d = 0.73). Conclusion: This is the first study to test the feasibility of an internet-based EW for YA BCS. The online EW pilot intervention demonstrated evidence of feasibility and acceptability to YA BCS; its potential to improve health outcomes should be evaluated in an adequately powered prospective randomized controlled trial (RCT). Online EW may be offered to YA BCS in low-resource settings to address their unique physical and psychological challenges.

9.B. Scientific session: Promoting health in the digital age: a room to improve health literacy and digital health literacy?

Abstract The workshop aims to explore innovative approaches to promoting health literacy and digital health literacy and their impact on individual and community health outcomes at different stages of life. This initiative is driven by the recognition that digital platforms and tools offer unprecedented opportunities to improve population health through health education and behavior change. The workshop will feature a dynamic and interactive format starting from plenary sessions in which speakers will provide insights into digital health promotion best practices and their outcomes, offering diverse perspectives. The added value of organizing this workshop lies in its comprehensive approach to integrating digital tools into health prevention strategies, particularly for addressing childhood smoking. By examining innovative digital interventions, the workshop provides a platform for sharing insights and strategies that leverage technology to promote healthier lifestyles among youth. This is increasingly pertinent as digital platforms become central in the daily interactions of young people. The coherence between the presentations revolves around the theme of enhancing digital health literacy as a preventive measure against health issues. The first presentation sets the stage by exploring digital tools that educate and engage young people about the dangers of smoking. The subsequent session builds on this by assessing the current state of digital health education and literacy, emphasizing the need for curriculum integration and better training for educators to support these initiatives effectively. Finally, the meta-analysis presentation ties everything together by evaluating the effectiveness of these digital interventions across various demographics, offering evidence-based recommendations for tailoring health literacy programs to diverse needs. Together, these presentations form a cohesive narrative on the critical role of digital literacy in health prevention, illustrating a clear pathway from educational content to educational infrastructure, and culminating in broad-based intervention strategies that can be adapted to different settings and populations. This coherence enhances the workshop’s impact, providing attendees with a well-rounded understanding of how digital tools can be harnessed to foster long-term health improvements from an early age. Live Q&A sessions will encourage dialogue between speakers and attendees, enhancing the learning experience. By combining expert knowledge with interactive discussions, the workshop aims to share insights needed to implement effective digital health promotion strategies. Key messages • The role of health literacy and digital health literacy in improving health outcomes demands that the efficacy of the most effective strategies be evaluated. • Digital tools offer opportunities for innovative health promotion approaches and tools.

2.A. Practice session: Policy labs: getting public health research into policy and practice

Abstract The process of translating health research into policy and practice benefits is often too slow, taking an average of 17 years globally. Additionally, health policy changes fail when they have an inadequate understanding of the communities and challenges they seek to address. The Policy Institute at King’s College London has developed an innovative ‘Policy Lab’ method, which convenes diverse policy and practice stakeholders such as health workers, patients and policymakers, to discuss a policy challenge, assess the evidence and co-produce viable policy options. The proposed workshop introduces this method in a practical, impactful session aimed at helping participants from any country and research background mobilise their research to improve health outcomes. Policy Labs have been shown to be highly successful method. Previous Policy Lab outcomes include influencing changes to the Mental Health Act in the UK, new international guidance on treatment of type 2 diabetes, and a global coalition on paying for prevention in dentistry. The method can be adapted to different health challenges and considers the potential for change in local, national and international arenas. The workshop teaches this method in a way that enables researchers to apply it to their own work, harnessing the potential of research to improve health outcomes. Objectives of the workshop The workshop aims to teach people the skills to design and run a Policy Lab so that they can better mobilise their research into policy and practice. Participants will learn To develop policy-relevant questions from their research; Stakeholder mapping; To design a policy lab agenda; To develop a research engagement plan. What is the added value of the workshop? The workshop teaches an innovative method that helps researchers greatly increase the policy impact from their work. It provides attendees with practical tools to employ in their own work and bridge gaps between their research and policy and practice changes. The format of the workshop will involve a short presentation on Policy Labs by facilitators, followed by four brief interactive activities for participants, as follows: Facilitator presentation: (10 mins) Introducing the Policy Lab method; Group work 1: (10 mins) Developing a policy-relevant question; Group work 2: (10 mins) Stakeholder mapping; Group work 3: (10 mins) Designing a lab agenda; Group work 4: (10 mins) Developing a research engagement plan. We have allowed 10 minutes to adapt to any arising demands, as well as to bring the session to a close with some key messages. Participants will be guided by the facilitators, and we will use template handouts for participants to complete during the session to reinforce learning. The handouts also ensure that those who wish to work independently rather than in groups may do so if preferred, and will provide participants with the practical tools necessary should be they arrive late or need to leave early. Key messages • Policy Labs are an effective way for researchers to have policy and practice impact with their work. • Participants will learn how to run a successful Policy Lab, and improve their research impact.

Applying knowledge translation for an effective use of Burden of Disease

Abstract Burden of disease, expressed in disability-adjusted life years, is a very powerful metric to assess population health. It combines both mortality, i.e. years of life lost, and morbidity, i.e. years lost due to disability and is increasingly used within public health policy making. However, the substantial demand for (good quality) data, the involved methodological choices and the complexity of the concept make it also challenge to calculate Burden of Disease and to have the results properly used, e.g. in the policy making process. The concept of Knowledge translation provides a systematic way of dealing with the synthesis, dissemination, and application of research findings to improve health outcomes and inform policymaking. Understanding the burden of disease is fundamental to effective knowledge translation, as it helps prioritize research efforts, target interventions to address the most significant health challenges, and allocate resources efficiently. The four different models of knowledge translation, i.e. the push, pull exchange and integrated model, provide a sound theoretical basis to strengthen the use of burden of disease in policy making. To have an effective way of knowledge translation, the following basic facets are important: timing of providing results, having policy-relevant results, for whom are the results relevant and in what way to get the results to a potential user. This presentation will focus on how to deal with these different aspects, building on experiences of burden of disease studies throughout Europe.

Harnessing social marketing for interdisciplinary health management: enhancing public health outcomes

Abstract Social marketing in health leverages the principles of traditional marketing to influence behaviours that benefit individuals and communities. It involves using marketing techniques to promote public health initiatives, aiming to change attitudes and behaviours towards healthier choices. By strategically framing health messages, social marketing can effectively reach diverse populations, encouraging them to adopt practices that enhance their wellbeing. This approach not only increases awareness about health issues but also empowers people to take proactive steps in managing their health, ultimately leading to improved public health outcomes. Showcasing a forward-thinking approach to public health management, this plenary session seeks to shed light on the transformative role of interdisciplinary collaboration in enhancing health outcomes. Recognising that health and wellbeing are influenced by a myriad of actors beyond the healthcare sector, there is a growing imperative to empower professionals from diverse disciplines with health management principles. By effectively ‘social marketing’ health management to those outside the traditional health sector, such as in architecture, urban planning, construction, education, transportation, and manufacturing, health-oriented decision-making can be seamlessly integrated across these fields. The session will highlight innovative approaches for engaging non-health stakeholders in decision-making processes, leveraging the expertise of health management and public health professionals. By facilitating a dialogue between health professionals and experts from other sectors, the session will explore the potential and challenges of intersectoral partnerships, and challenge policymakers, health managers, and stakeholders in the health sector to actively engage non-health professionals in their pursuit of improved health outcomes for European citizens. Case studies from across Europe where interdisciplinary collaborations have led to social programming and infrastructure developments that enhance health and wellbeing will be presented. The case study ‘Compassionate leadership’ will delve into how organisation leaders can harness their health management capacity to foster a supportive environment that prioritises wellbeing. ‘Health-centric design in public spaces’ will demonstrate the impact of designing public areas with a focus on health, showcasing how thoughtful urban planning can significantly enhance community health. The third case study, ‘Architecture for better health and healing’ will highlight the role of architectural design in promoting health and recovery, emphasising the importance of creating spaces that support healing. Finally, ‘Educating to health’ will underline the significance of educating young people to healthy habits, sustainability, and physical and mental wellbeing, illustrating how this can lead to healthier communities. By fostering broader interdisciplinary collaboration, it is possible to unlock innovative solutions to health challenges and ultimately create healthier, more resilient communities across Europe. Moderator Tiago Correia Instituto de Higiene e Medicina Tropical, Universidade NOVA de Lisboa, Portugal, and Board Member of the EHMA Speakers/Panellists Marina Macchiaiolo Rare Diseases and Medical Genetics Unit, Bambino Gesù Children’s Hospital, Italy, and President of the Italian Committee for the United World Colleges Stefano Capolongo Department of Architecture, Construction Engineering and Built Environment (ABC), Politecnico di Milano, Italy

Self-Care of Older Patients Affected by at Least Two Chronic Conditions Between Heart Failure, Diabetes Mellitus and Chronic Obstructive Pulmonary Disease: A Comparative Study.

This study aims to describe disease-specific self-care behaviours in patients with heart failure (HF), diabetes mellitus (DM) and chronic obstructive pulmonary disease (COPD) in various combinations; to compare these self-care behaviours within patient groups; and to evaluate differences across these groups. Cross-sectional study. A total sample of 1079 older patients was recruited from outpatient clinics and home settings. Eligible patients were aged ≥ 65 years and had a diagnosis of HF and/or DM, and/or COPD, along with at least one additional chronic condition. Data were collected using validated tools: the Self-Care of Heart Failure Index, Self-Care of Diabetes Inventory and Self-Care of Chronic Obstructive Pulmonary Disease Inventory. Descriptive statistics were used to analyse disease-specific self-care behaviours. Group comparisons were performed using Student's t-test and univariate, followed by multivariate analyses of variance. The analysis focused on a subset of 223 patients who had a combination of at least two chronic conditions between HF, DM and/or COPD. The mean age of participants was 77.3 (SD 7.5) years, with a majority being female (53.4%). Self-care maintenance, monitoring and management for HF and COPD were found to be inadequate across all patient groups. Adequate self-care was only observed in DM management among those with HF and DM and in DM maintenance for those with DM and COPD treated with insulin. Significant differences in all self-care dimensions were observed across groups, particularly in patients managing all three conditions (HF, DM and COPD). The findings provide valuable insights into the complexities of self-care in patients with multiple chronic conditions, underscoring the need for tailored, integrated and patient-centred interventions. Healthcare strategies should focus on enhancing patient education and developing personalised approaches to improve health outcomes and quality of life in this population. All the authors have adhered to the EQUATOR guidelines STROBE Statement. A convenience sample of patients was recruited in outpatient clinics and their homes. Data were collected between March 2017 and August 2022, by face-to-face during routine outpatient visits or directly at the patient's home.

Empowering health literacy: Turkiye’s Health Literacy Action Plan 2022-2026

Abstract Issue/Problem The ‘Health Literacy Action Plan 2022-2026’ of the Turkish Ministry of Health addresses the critical public health issue of limited health literacy, leading to increased hospital admissions, inappropriate emergency department use, and poor health outcomes. This underscores a significant challenge in individual health self-management and higher healthcare expenditure within the country. Description of the Problem The Health Literacy Action Plan aims to tackle disparities in health literacy levels among people. It employs customized teaching schemes, digital communication, and inclusive healthcare practices to reach every demographic group. The plan seeks to enhance health knowledge and empowerment among Turkish people by increasing access to medical information, simplifying clinician instructions, and promoting closer communication between patients and healthcare professionals. Results Comparative evaluation of nationwide surveys conducted in 2017 and 2023 with 15,000 participants shows remarkable improvements. Despite delays due to the pandemic, the action plan led to a notable increase in adequate health literacy levels from 31.9% in 2017 to 46.1% in 2023. Additionally, significant improvements were observed in ailment prevention and health promotion, with health literacy levels in disease prevention increasing from 28.4% to 45.7%. Lessons The Health Literacy Action Plan plays a crucial role in developing and implementing multifaceted public health strategies based on data and stakeholder participation. These interventions, requiring continuous monitoring and adjustment, are essential steps toward achieving high-level health literacy. Key messages • Strategic health literacy interventions are essential for improving health outcomes and optimizing the use of public resources. • Evidence-based interventions and ongoing evaluation are key to promoting health literacy.

Credentialed pharmacist-led home medicines reviews targeting treatable traits and their impact on health outcomes in people with chronic obstructive pulmonary disease: a pre- and post-intervention study.

Patients with chronic obstructive pulmonary disease (COPD) should engage in self-management strategies targeting behavioural traits and lifestyle risk-factors for optimal outcomes. To evaluate the impact of credentialed pharmacist-led home medicines review (HMR) targeting treatable traits (TTs) on health outcomes in COPD in primary care. A pre- and post-intervention study was nested within a cluster-randomised controlled trial. A total of 81 participants with COPD from 21 Australian general practices received an HMR with a credentialed pharmacist targeting TTs. Changes in health outcomes at 6 and 12months from baseline were assessed. Ten TTs were assessed and targeted during the HMR. At baseline, no-one had a written action plan for managing exacerbations, and medication adherence was sub-optimal in 85% of patients. Additionally, 53% of participants demonstrated inadequate inhaler device technique, while 52% were current smokers. At 6-months follow-up, significant improvements were observed in health-related quality of life (St. George's Respiratory Questionnaire score = 34.6 versus 39.1 at baseline, p = 0.006), health status (COPD Assessment Test score = 12 versus 16, p = 0.002), anxiety (Hospital Anxiety and Depression Scale (HADS)-Anxiety score = 2.0 versus 5.0, p < 0.001), depression (HADS-Depression score = 1.0 versus 5.0, p < 0.001), self-reported smoking (47% versus 51.9%, p = 0.031) and treatment adherence (Tool for Adherence Behaviour Screening score = 12.5 versus 10.0, p = 0.002). At 12-months: health status, anxiety, depression, smoking abstinence and adherence to treatment, continued to show statistically significant improvements compared to baseline measurements. HMRs targeting TTs improved health outcomes in people with COPD. Credentialed pharmacists in primary care can work alongside general practitioners to optimise COPD management.

Public Perceptions and Engagement in mHealth Across Eight European Countries

Abstract Background Mobile health technologies have the potential to revolutionize healthcare delivery and patient engagement. This study explores public attitudes toward health app usage and data sharing across eight European countries, addressing a significant gap in understanding the public’s perspective on mHealth adoption. Methods A cross-sectional survey was conducted involving 6,581 participants from Italy, the Netherlands, France, Germany, Spain, Poland, Romania, and Hungary. The survey assessed current health app usage, future interest, willingness to share health data, and concerns about data privacy and security. Results 21.87% of respondents currently use health apps, with 42.71% expressing interest in future use. Regarding data sharing, 52.82% are willing to share health data with healthcare providers, and 25.48% would share data with research institutions. However, 53.18% fear unauthorized use or hacking of their health data. Significant generational and geographical differences in mHealth engagement were observed, with older generations showing higher willingness to adopt health apps OR 1.22 (CI 1.03 - 1.46) for Baby Boomers, OR 1.45 (CI 0.97 - 2.16) for Silent Generation. Education level emerged as a crucial factor, with tertiary-educated individuals more likely to use health apps (OR 1.41 CI 1.24 - 1.58) and demand transparency (OR 1.61 CI 1.45 -1.78). Conclusions The findings underscore the need for targeted strategies to enhance digital literacy, ensure data privacy, and promote equitable access to mHealth technologies across Europe. Policymakers and healthcare stakeholders should prioritize these areas to foster greater public trust and engagement in mHealth, ultimately improving health outcomes and patient care. Key messages • Public attitudes toward mHealth vary significantly across generations, countries, and education levels in Europe. • Addressing data privacy concerns and enhancing digital literacy are crucial for widespread mHealth adoption.

Understanding barriers and facilitators to lifestyle management in people with polycystic ovary syndrome: A mixed method systematic review.

Polycystic ovary syndrome (PCOS) is an endocrine disorder affecting 10-13% of reproductive-aged women. Lifestyle management through diet and physical activity changes can improve reproductive, metabolic, and psychological comorbidities. The aim of this systematic review is to understand the barriers and facilitators to lifestyle changes from the perspective of people with PCOS and health care professionals (HCP) using the theoretical domains framework and capability, opportunity, motivation, and behavior model. Six databases were systematically searched for qualitative, quantitative, and mixed-methods studies to 22nd September 2022. Quantitative outcomes from quantitative and mixed-methods studies were narratively synthesized and all studies were thematically analyzed. Sixty-eight papers met the eligibility criteria. HCP education on lifestyle management in PCOS was viewed by all to be inadequate, impacting the quality of care and health outcomes. Lifestyle advice delivered by a multidisciplinary team, including dietitians, was identified as a key component for change. All agreed that there was a need for individualized and PCOS-specific lifestyle advice. Weight stigma was identified as negatively impacting both those in larger and smaller bodies with PCOS, reducing the quality of care and affecting self-perception and mental health. People with PCOS perceived that lifestyle management was overly focused on weight loss and fertility, independent of their own personal motivations and goals. Systemic changes, including increasing HCP education on lifestyle management and multidisciplinary collaboration, focusing on lifestyle advice that meets individual needs, and reducing the use of weight-centric care are necessary for long-term sustainable changes and improvements in health outcomes in people with PCOS.