Equity In Health Outcomes Research Articles

From Simulation to Bedside: The Journey to Provide Equitable Patient Care.

Simulation-based education (SBE) has revolutionized health care training by enhancing skills and addressing systemic issues. This article explores how SBE can bridge the gap between recognizing health care disparities and implementing actionable steps to address them. The immersive nature of SBE, combined with structured debriefing, sets the foundation for a "brave space" that fosters critical discussions on crucial topics, such as health equity. SBE enables health care professionals to develop cultural humility, confront biases, and practice upstander skills. This approach not only addresses hidden curricula but also integrates equity into clinical practice through practical scenarios and community engagement. Despite the potential benefits, challenges such as unintentional harm and the need for thoughtful implementation persist. To maximize effectiveness, SBE initiatives must be aligned with organizational goals and include interdisciplinary team commitment. Ongoing research and robust evaluation are essential to measure SBE's impact on health equity and patient outcomes. [Pediatr Ann. 2024;53(11):e414-e419.].

Health disparities in cirrhosis care and liver transplantation.

Morbidity and mortality from cirrhosis are substantial and increasing. Health disparities in cirrhosis and liver transplantation are reflective of inequities along the entire spectrum of chronic liver disease care, from screening and diagnosis to prevention and treatment of liver-related complications. The key populations experiencing disparities in health status and healthcare delivery include racial and ethnic minority groups, sexual and gender minorities, people of lower socioeconomic status and underserved rural communities. These disparities lead to delayed diagnosis of chronic liver disease and complications of cirrhosis (for example, hepatocellular carcinoma), to differences in treatment of chronic liver disease and its complications, and ultimately to unequal access to transplantation for those with end-stage liver disease. Calling out these disparities is only the first step towards implementing solutions that can improve health equity and clinical outcomes for everyone. Multi-level interventions along the care continuum for chronic liver disease are needed to mitigate these disparities and provide equitable access to care.

Modeling the Population Equity of Alzheimer Disease Treatments in the US

The arrival of new medications for Alzheimer disease (AD) has prompted efforts to measure their value using conventional cost-effectiveness analyses; however, these analyses focus on how much health improvement new medications generate per dollar spent. As AD disproportionately affects older adults, women, racial and ethnic minority individuals, and individuals with lower socioeconomic and educational levels, it is critical to also examine the health equity outcomes of treatment. To estimate the health equity impact of a hypothetical disease-modifying treatment for early AD in the US and to examine targeted policies to mitigate health care disparities. This economic evaluation, which used a distributional cost-effectiveness analysis, was conducted from June 16, 2022, to January 11, 2024. The study included subgroups defined by race and ethnicity and by social vulnerability quintiles in the US. A hypothetical disease-modifying treatment compared with best supportive care. The main outcomes were population-level quality-adjusted life-years (QALYs), lifetime costs, and net health benefits. The social welfare impact and change in health inequality were estimated using the Atkinson index. The distributional cost-effectiveness analysis simulated 316 037 100 individuals from the US population, including 25 subgroups defined by 5 categories of race and ethnicity and population quintiles of social vulnerability, with the fifth quintile representing the most socially vulnerable group. At an opportunity cost benchmark of $150 000 per QALY, treatment was associated with improved population health, adding 28 197 QALYs per year to the US population. Accounting for health inequality preferences (using an aversion level of 11, based on an Atkinson inequality aversion parameter that can range from 0 to infinity, with higher values assigning greater weight to health gains that accrue to the population with the lowest lifetime quality-adjusted life expectancy), treatment was associated with a 0.009% reduction in existing population health inequalities annually. Scenario analyses examining earlier and expanded treatment access suggested a population health improvement of up to 221 358 QALYs. The findings of this economic evaluation suggest that treatment for AD could improve population health and health equity. Policies to enable earlier diagnosis and treatment initiation, as well as expanded access to treatment, may further improve treatment and health equity impacts.

Diabetes Centers’ Participation in the T1D Exchange Quality Improvement Collaborative Advances Health Equity and Clinical Outcomes

As the learning health network known as the T1D Exchange Quality Improvement Collaborative (T1DX-QI) has expanded on a significant scale to provide care for more than 120,000 people since its inception in 2016, assessing the quality improvement (QI) culture and monitoring clinical outcome improvements of participating centers has become vital to understanding the network’s progress and success. Centers participating in the T1DX-QI complete regular QI culture self-assessments to quantify four evidence-based areas of culture: QI team structure, QI foundation, QI capacity, and QI success. This study builds on a previous baseline analysis to demonstrate self-reported improvements in T1DX-QI centers’ QI culture from 2021 to 2022 and summarizes QI successes experienced by participating centers.

Recommendations to Address Barriers to Patient Portal Use Among Persons With Diabetes Seeking Care at Community Health Centers: Interview Study With Patients and Health Care Providers.

Community health centers (CHCs) are safety-net health care facilities in the United States that provide care for a substantial number of low-income, non-English speaking adults with type 2 diabetes (T2D). Whereas patient portals have been shown to be associated with significant improvements in diabetes self-management and outcomes, they remain underused in CHCs. In addition, little is known about the specific barriers to and facilitators of patient portal use in CHCs and strategies to address the barriers. The objectives of this qualitative study were to explore the barriers to and facilitators of the use of patient portals for managing diabetes in 2 CHCs from the perspective of adults with T2D and clinicians (community health workers, nurses, nurse practitioners, and physicians) and to make recommendations on strategies to enhance use. A qualitative description design was used. A total of 21 participants (n=13, 62% clinicians and n=8, 38% adults with T2D) were purposively and conveniently selected from 2 CHCs. Adults with T2D were included if they were an established patient of one of the partner CHCs, aged ≥18 years, diagnosed with T2D ≥6 months, and able to read English or Spanish. Clinicians at our partner CHCs who provided care or services for adults with T2D were eligible for this study. Semistructured interviews were conducted in either Spanish or English based on participant preference. Interviews were audio-recorded and transcribed. Spanish interviews were translated into English by a bilingual research assistant. Data were collected between October 5, 2022, and March 16, 2023. Data were analyzed using a rapid content analysis method. Standards of rigor were implemented. Themes generated from interviews included perceived usefulness and challenges of the patient portal, strategies to improve patient portal use, and challenges in diabetes self-management. Participants were enthusiastic about the potential of the portal to improve access to health information and patient-clinician communication. However, challenges of health and technology literacy, maintaining engagement, and clinician burden were identified. Standardized implementation strategies were recommended to raise awareness of patient portal benefits, provide simplified training and technology support, change clinic workflow to triage messages, customize portal notification messages, minimize clinician burden, and enhance the ease with which blood glucose data can be uploaded into the portal. Adults with T2D and clinicians at CHCs continue to report pervasive challenges to patient portal use in CHCs. Providing training and technical support on patient portal use for patients with low health literacy at CHCs is a critical next step. Implementing standardized patient portal strategies to address the unique needs of patients receiving care at CHCs also has the potential to improve health equity and health outcomes associated with patient portal use.

Conference Report: Leveraging the Global Malnutrition Composite Score for Quality Improvement, Health Equity, and Better Patient Outcomes

Effective January 2024, the United States Centers for Medicare & Medicaid Services (CMS) for the first time has included a nutrition-focused quality measure in the Hospital Inpatient Prospective Payment System (IPPS) Inpatient Quality Reporting (IQR) Program: the Global Malnutrition Composite Score (GMCS). The GMCS is an electronic clinical quality measure (eCQM) that hospitals can choose to report voluntarily to meet the requirements for IPPS IQR payments. The GMCS can help improve hospital malnutrition care and help advance hospital health equity goals. This conference report summarizes a panel discussion at the Academy of Nutrition and Dietetics Food and Nutrition Conference & Expo in October 2023. During the panel, four health and nutrition experts described strategies for integrating the GMCS into hospital electronic health records (EHRs). They also outlined how GMCS data can be used to facilitate successful patient transitions to post-acute care through addressing food insecurity and other reasons for malnutrition. Such strategies can serve to help avoid preventable complications and readmissions, improve patient outcomes and health, and meet quality and health equity objectives, while helping reduce overall healthcare costs.

Prolonged Boarding and Racial Discrimination and Dissatisfaction Among Emergency Department Patients

Emergency department (ED) boarding times have increased rapidly, but their health equity outcomes are unknown. To investigate whether prolonged ED boarding is associated with increased perceived racial discrimination and dissatisfaction and whether associations vary between patients from marginalized racial and ethnic groups vs non-Hispanic White patients. This is a cross-sectional study of hospitalized adults who boarded in the ED during internal medicine admissions at a large, urban hospital in Boston, Massachusetts, from June 2023 to January 2024. Equal proportions of non-Hispanic White patients and patients from marginalized racial and ethnic groups (American Indian or Alaska Native, Hispanic, non-Hispanic Black and/or African American, and multiracial) were selected randomly. The duration of ED boarding was categorized as less than 4 hours (reference), 4 to less than 24 hours, and 24 or more hours. Primary outcomes were odds of reporting (1) discrimination via the Discrimination in Medical Settings scale, and (2) dissatisfaction via the adapted Picker Patient Experience-15 questionnaire. Marginalized race and ethnicity was tested as an effect modifier. Multivariable logistic regression models adjusted for patient age, sex, language, and insurance payer. Of 598 patients approached, 527 were enrolled, and 525 completed the surveys (response rate, 87.8%). The mean age (SD) was 60.6 (18.7) years, 300 patients (57.1%) were female, 246 patients (47.3%) identified as non-Hispanic White, and 274 (52.7%) were from a marginalized racial or ethnic group. In total, 135 (25.7%) boarded less than 4 hours (reference), 202 (38.5%) boarded 4 to less than 24 hours, and 188 (35.8%) boarded 24 hours or longer. Compared with less than 4 hours, boarding 24 hours or longer was associated with increased perceived discrimination (odds ratio [OR], 1.84; 95% CI, 1.14-2.99; P = .01). An increased association was observed in the subgroup of patients from racial and ethnic marginalized groups (OR, 2.36; 95% CI, 1.20-4.65; P = .01); effect modification was not significant (P for interaction, .10). For all patients, boarding 24 hours or longer was associated with increased dissatisfaction with care (OR, 1.77; 95% CI, 1.03-3.06; P = .04); effect modification was not significant (P for interaction, .80). In this cross-sectional study, hospitalized patients who boarded in the ED 24 hours or longer reported more discrimination and dissatisfaction with care, which may disproportionately affect patients from marginalized racial and ethnic groups. As ED boarding times increase nationally, it is critical to recognize their potential to exacerbate health inequities and to respond with equity-focused solutions.

Expanding community-based participatory action research practices to clubhouses through sustainable research activities.

There is growing utilization and acknowledgement of the benefits of community-based participatory action research (CBPAR) in advancing health practices and equity. However, the sustainability and full impact of CBPAR in health care settings faces many obstacles and limitations. The present article examines the synergies between CBPAR and Clubhouse programs, presents the demonstration and ongoing implementation of sustainable CBPAR practices at Fountain House in New York City, and offers lessons learned for other Clubhouses and similar programs seeking to integrate CBPAR. Alignment in practice and principles between CBPAR and Clubhouse programs are presented. The innovation and ongoing sustainable CBPAR practices in the Fountain House Clubhouse program are examined with a contribution of practice guidance for other Clubhouse and similar programs in further adopting and learning CBPAR into participatory health practices. Clubhouse psychosocial rehabilitation programs present structurally conducive settings for the success and sustainability of CBPAR activities and projects. The Fountain House examination and demonstration of integrating CBPAR sustainably into core Clubhouse programming presents opportunities for further integration, research, and practice guidance in uniquely leveraging features of the Clubhouse model to advance health equity and rehabilitative outcomes through CBPAR. The opportunity for incorporating structural CBPAR activities within Clubhouse programs can be informed by the experience, processes, and lessons applied in the Fountain House example. Further research into the rehabilitation, program, and equity benefits of Clubhouse and CBPAR integration could uniquely contribute to the advancement of sustainable participatory research practices across the mental health field generally. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A Collaborative Approach to Understanding the Intersections of Practice and Policy for Peers in the Alcohol and Other Drugs Sector.

Peers in the alcohol and other drug sectors possess lived-living experience (LLE) crucial for shaping community care. However, genuine consumer collaboration is often confounded by stigma. This study examined peers' perceptions, exploring their experiences regarding workforce dynamics, policy implications, and impacts on health equity. In presenting the research, we sought to synthesise the research methods and illustrate the methodological innovation and knowledge production in substance use research through authentic collaboration. We purposively sampled peer networks and community organisations, involving peer-researchers in planning, design, and analysis. We conducted semi-structured digital interviews with 18 peers and applied iterative coding to analyse the data. This collaborative process provided nuanced insights into sectoral challenges. Peers expressed emotional strain revisiting personal substance use experiences, blurring personal and professional boundaries. Tokenistic peer involvement critiques underscored the need for genuine leadership and organisational support. We advocate for a shift towards equitable and inclusive policy development through both organisational and systemic restructuring. However, these changes are hamstrung by broader policy frameworks, which require a shift to peer-led principles, ensuring the expertise of peers is genuinely valued. Policymakers should invest in expanding peer frameworks, acknowledging the diversity within communities of people who use drugs to improve health equity and public health outcomes. This innovative approach to substance use research emphasises the transformative impact of integrating LLE into research.

Severe obesity among patients with left ventricular assist devices

Patients with obesity and advanced heart failure requiring left ventricular assist device (LVAD) support are more likely to experience LVAD complications and may be disproportionately Black and/or female when compared to patients without obesity. Among these patients, obesity may represent a barrier to transplant eligibility and a marker of inequity in heart transplantation and health outcomes in advanced heart failure. To better understand this issue at our institution, we examined our active LVAD cohort and found that almost one-third of all patients had severe obesity with BMI ≥ 35 kg/m2. Patients with LVADs and severe obesity were significantly younger and more likely to self-identify as Black, and numerically more likely to be female. Weight management in this group represents a vital area for improved equity in health outcomes and barriers to heart transplantation. NA.

Multisectoral interventions and health system performance: a systematic review.

To conduct a systematic review on the effects of multisectoral interventions for health on health system performance. We conducted a systematic review according to the preferred reporting items for systematic review and meta-analysis protocols. We searched for peer-reviewed journal articles in PubMed®, Scopus, Web of Science, Cumulated Index to Nursing and Allied Health Literature, and the Cochrane Database of Systematic Reviews on 31 August 2023 (updating on 28 February 2024). We removed duplicates, screened titles and abstracts, and then conducted a full-text eligibility and quality assessment. We identified an initial 1118 non-duplicate publications, 62 of which met our inclusion and exclusion criteria. The largest proportions of reviewed studies focused on multisectoral interventions directly related to specific health outcomes (66.1%; 41 studies) and/or social determinants of health (48.4%; 30 studies), but without explicit reference to overall health system performance. Most reviewed publications did not address process indicators (83.9%; 52/62) or discuss sustainability for multisectoral interventions in health (72.6%; 45/62). However, we observed that the greatest proportion (66.1%; 41/62) considered health system goals: health equity (68.3%; 28/41) and health outcomes (63.4%; 26/41). Although the greatest proportion (64.5%; 40/62) proposed mechanisms explaining how multisectoral interventions for health could lead to the intended outcomes, none used realistic evaluations to assess these. Our review has established that multisectoral interventions influence health system performance through immediate improvements in service delivery efficiency, readiness, acceptability and affordability. The interconnectedness of these effects demonstrates their role in addressing the complexities of modern health care.

Race-modified estimated glomerular filtration rate underestimates chronic kidney disease prevalence in Black patients undergoing partial and radical nephrectomy: Implications for surgical planning.

In estimated glomerular filtration rate equations (eGFR), the race multiplier (RM) yields greater eGFR values and may assign less severe chronic kidney disease (CKD) stages to black individuals. When deciding on appropriateness for partial nephrectomy (PN), patients with CKD are often considered a relative or absolute indication. We hypothesize that the eGFR RM may have ramifications for patients being counseled for radical nephrectomy (RN) versus PN to manage their renal tumor. We utilized prospective and retrospective, IRB-approved single-center databases to select patients who underwent PN or RN between 2016 and 2022. Demographics, preoperative risk factors, preoperative eGFR, and surgical management were collected. Descriptive statistics and two-tailed difference of proportion tests compared the percentage of patients with CKD who underwent nephrectomy. This cohort included 1137 patients who underwent RN or PN, including 74 (6.5%) Black patients and 93.5% (n = 1063) non-Black patients. There was no statistically significant difference between the eGFR of Black and non-Black individuals using the Modification of Diet in Renal Disease equation (P = 0.24) or Chronic Kidney Disease Epidemiology Collaboration 2009 (CKD-EPI 2009) (P = 0.45); however, there was statistically significant difference in eGFR between sample populations when using CKD-EPI 2021 (P = 0.0055). Of the Black patient cohort, 16.2% of patients reclassified to a worse CKD class using CKD-EPI 2021, including 9.5% of Black patients reclassified to CKD3a or worse, and 14.6% of all patients (Black and non-Black) reclassified to a different CKD class under the CKD-EPI 2021 equation. There are quantitative differences in the evaluation of eGFR when utilizing different equations that may impact clinical considerations and health equity outcomes for nephrectomy across racial groups.

EPH94 Healthcare Access and Health Equity Outcomes Among Adults With Cardiometabolic Conditions

EPH94 Healthcare Access and Health Equity Outcomes Among Adults With Cardiometabolic Conditions

Investigating the Application of Regression Discontinuity in the Field of International Health Economics

As one of the most significant quasi-experimental research methods, with over eight decades of development, Regression Discontinuity Design (RDD) has garnered extensive attention within the field of international health economics. It has provided robust methodological support for causal inference in research conducted within this domain. This paper provides a comprehensive review and synthesis of the foundational concepts, origins, and evolutionary trajectory of the RDD. It systematically examines the relevant studies in the domain of international health economics, discusses the strengths and limitations of the RDD, and anticipates its future applications in the same field. The aim is to support the utilization of RDD in international health economic research. On a theoretical level, it has effectively enhanced the flexibility and applicability of research designs within the domain of international health economics, augmenting the economic efficiency and external validity of studies, and offering a versatile tool for related research on a global scale. On a practical level, RD accommodates the diverse policy needs of programs across various countries and regions. It provides a more robust and reliable empirical foundation for the formulation of pertinent health policies, aiming to improve the efficiency of health resource allocation and promote equity in health outcomes.

Machine learning evaluation of inequities and disparities associated with nurse sensitive indicator safety events.

To use machine learning to examine health equity and clinical outcomes in patients who experienced a nurse sensitive indicator (NSI) event, defined as a fall, a hospital-acquired pressure injury (HAPI) or a hospital-acquired infection (HAI). This was a retrospective observational study from a single academic hospital over six calendar years (2016-2021). Machine learning was used to examine patients with an NSI compared to those without. Inclusion criteria: all adult inpatient admissions (2016-2021). Three approaches were used to analyze the NSI group compared to the No-NSI group. In the univariate analysis, descriptive statistics, and absolute standardized differences (ASDs) were employed to compare the demographics and clinical variables of patients who experienced a NSI and those who did not experience any NSIs. For the multivariate analysis, a light grading boosting machine (LightGBM) model was utilized to comprehensively examine the relationships associated with the development of an NSI. Lastly, a simulation study was conducted to quantify the strength of associations obtained from the machine learning model. From 163,507 admissions, 4643 (2.8%) were associated with at least one NSI. The mean, standard deviation (SD) age was 59.5 (18.2) years, males comprised 82,397 (50.4%). Non-Hispanic White 84,760 (51.8%), non-Hispanic Black 8703 (5.3%), non-Hispanic Asian 23,368 (14.3%), non-Hispanic Other 14,284 (8.7%), and Hispanic 30,271 (18.5%). Race and ethnicity alone were not associated with occurrence of an NSI. The NSI group had a statistically significant longer length of stay (LOS), longer intensive care unit (ICU) LOS, and was more likely to have an emergency admission compared to the group without an NSI. The simulation study results demonstrated that likelihood of NSI was higher in patients admitted under the major diagnostic categories (MDC) associated with circulatory, digestive, kidney/urinary tract, nervous, and infectious and parasitic disease diagnoses. In this study, race/ethnicity was not associated with the risk of an NSI event. The risk of an NSI event was associated with emergency admission, longer LOS, longer ICU-LOS and certain MDCs (circulatory, digestive, kidney/urinary, nervous, infectious, and parasitic diagnoses). Machine learning methodologies provide a new mechanism to investigate NSI events through the lens of health equity/disparity. Understanding which patients are at higher risk for adverse outcomes can help hospitals improve nursing care and prevent NSI injury and harm.

We outside: Modeling equity‐centered, antiracist, community‐driven partnerships in resident education

AbstractBackgroundCommunity engagement is increasingly recognized as a necessity in addressing intractable racial and ethnic health disparities in the United States. However, institutions have not adequately trained resident physicians in developing symbiotic community partnerships that preserve community autonomy and identity without exploitation. Our goals were to highlight the experiences of expert academic emergency physicians in creating innovative, community‐driven, and anti‐racist solutions to achieving measurable equity in health outcomes and to introduce a novel framework entitled the Social Change Method to take a community‐embedded intervention from concept to creation.MethodsThe methodology was based on the development of a didactic session at the 2023 SAEM Annual Meeting. The three novel initiatives discussed were Emergency Medicine Remix (EMR); Trust, Research, Access, and Prevention (TRAP) Medicine; and The Health Equity Accelerator (HEA). A team of multi‐institutional experts convened to develop the session objectives through priority setting.ResultsOur expert panel discussed successes and challenges encountered while using evidence‐informed strategies to conduct their community‐based programming. Participant questions were centered on fostering sustainability, emphasizing the importance of carefully crafted interventions in the face of uncertain legislative challenges and strategies to empower others.ConclusionsEmergency medicine residency education should incorporate training on methods to leverage community partnerships to improve individual and community health outcomes. The Social Change Method can be used as a conceptual framework to generate easily re‐creatable and scalable partnerships that establish trust and forge relationships that honor identity and autonomy without exploiting community members.

A Roadmap for Sustainable Community-Engaged Partnerships in Athletic Training and Using a Traveling Athletic Training Camp as an Implementation Strategy.

Improving access to athletic trainers and increasing diversity in the profession have been major goals of the Strategic Alliance, with a particular interest in the secondary school setting. Within many marginalized communities, individuals are often faced with a lack of resources, high rates of poverty, and limited access to health care. This social and economic climate often extends to inequitable athletic training services and patterns of disparate health. Widely used and recognized strategies to cultivate diversity and address health inequities include community-engaged partnerships; however, these approaches are not well implemented across the athletic training discipline. Successful community-engaged partnerships link communities and universities, and they are rooted in intentionality to address intermediate and long-term health equity outcomes. Athletic training professionals and scholars frequently encounter gaps in resources and process-oriented methods to participate in community-engaged efforts that could include a roadmap or pathway to follow. To bridge this gap, our aims were 2-fold: (1) to disseminate a roadmap for building sustainable community-engaged partnerships in athletic training with the intent of promoting diversity, equity, inclusion, and social justice across athletic training education, research, and professional service and (2) to demonstrate how the roadmap can be implemented using a community-based athletic training education camp as an example. Implementation of the athletic training camp using the roadmap took place at secondary schools where community-engaged partnerships have been established throughout a geographic region known as the Alabama Black Belt, a region burdened with poor health outcomes, limited athletic trainer presence, and lower quality of life, exacerbated by racial and socioeconomic inequalities. Implementing this roadmap as a strategy to build sustainable community-engaged partnerships offers an innovative, interactive, and effective approach to addressing community needs by exposing secondary school students to the athletic training profession, advancing equitable athletic training research practices, and upholding and promoting the principles of diversity, equity, inclusion, and social justice in athletic training education.

Governance for planetary health equity—the Planetary Health Equity Hothouse project

BackgroundPlanetary health equity (PHE) is defined here as equitable good health in a stable Earth system. PHE is arguably in crisis. Human-made climate change is damaging global populations through hotter temperatures, wildfires, and more severe and frequent storms, flooding, and landslides. A tsunami of health inequities will result from this, as pre-existing health conditions and inequities in living and working conditions ensure that socially disadvantaged groups and people in low-income and middle-income countries are disproportionately affected by climate change. Despite evidence of these massive challenges and multiple calls to action, why has there been so little effective remedial action? And more importantly, how can we overcome this failure? To answer these questions, this panel discusses new research for understanding the conditions that enable coherent governance to improve planetary health equity outcomes. MethodsThe panel draws on emerging research from the Planetary Health Equity Hothouse. With perspectives from political economy, public health, policy studies, and systems science, we present new conceptual thinking and empirics around the complexities, dynamics, and trajectories of the global consumptogenic system in the 21st century, with a focus on the intersections between climate change and social and health inequities. The research examines mechanisms via which the global political economy creates planetary health inequities; identifies policy that optimises the climate, social, and health equity outcomes of mitigation actions; and discusses how governance for planetary health equity must evolve into the future, focusing on the structural, institutional, and ideational factors that advance action to promote PHE outcomes. FindingsThe global consumptogenic system of institutions, actors, norms, policies, and commercial activities that incentivise excessive production and consumption of fossil fuel-reliant goods and services with negative environmental, social, and health effects lies at the heart of the PHE crisis. Using network analysis, we show that the global PHE governance architecture is highly centralised and dominated by economic governance organisations. We also discuss a new Planetary Health Equity Impact Assessment tool to assess the PHE effects of existing policy and business practices within the consumptogenic system. An initial assessment of the mitigation sections of national governments' Nationally Determined Contribution reports to the UN Framework Convention on Climate Change shows a dominance of economic language and issues. This highlights a missed opportunity for mitigation policy to be inclusive of social and health matters. Finally, we present new conceptual understandings of multilevel governance coherence and relevant strategies to advance PHE focused action. InterpretationThe major contribution from research on governance for planetary health equity lies in detailing the what, who, and how of effective governance that advances health, social equity, and the environment in an interconnected way, helping to shift institutional norms and behaviours towards principles of fairness, sustainability, and human wellbeing. Crucially, it provides strategies for socially oriented actors, including governments, civil society, and international organisations to change the consumptogenic system and advance action for PHE. FundingAustralian Research Council.

Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study

Artificial intelligence (AI) has repeatedly been shown to encode historical inequities in healthcare. We aimed to develop a framework to quantitatively assess the performance equity of health AI technologies and to illustrate its utility via a case study. Here, we propose a methodology to assess whether health AI technologies prioritise performance for patient populations experiencing worse outcomes, that is complementary to existing fairness metrics. We developed the Health Equity Assessment of machine Learning performance (HEAL) framework designed to quantitatively assess the performance equity of health AI technologies via a four-step interdisciplinary process to understand and quantify domain-specific criteria, and the resulting HEAL metric. As an illustrative case study (analysis conducted between October 2022 and January 2023), we applied the HEAL framework to a dermatology AI model. A set of 5420 teledermatology cases (store-and-forward cases from patients of 20 years or older, submitted from primary care providers in the USA and skin cancer clinics in Australia), enriched for diversity in age, sex and race/ethnicity, was used to retrospectively evaluate the AI model's HEAL metric, defined as the likelihood that the AI model performs better for subpopulations with worse average health outcomes as compared to others. The likelihood that AI performance was anticorrelated to pre-existing health outcomes was estimated using bootstrap methods as the probability that the negated Spearman's rank correlation coefficient (i.e., "R") was greater than zero. Positive values of R suggest that subpopulations with poorer health outcomes have better AI model performance. Thus, the HEAL metric, defined as p (R>0), measures how likely the AI technology is to prioritise performance for subpopulations with worse average health outcomes as compared to others (presented as a percentage below). Health outcomes were quantified as disability-adjusted life years (DALYs) when grouping by sex and age, and years of life lost (YLLs) when grouping by race/ethnicity. AI performance was measured as top-3 agreement with the reference diagnosis from a panel of 3 dermatologists per case. Across all dermatologic conditions, the HEAL metric was 80.5% for prioritizing AI performance of racial/ethnic subpopulations based on YLLs, and 92.1% and 0.0% respectively for prioritizing AI performance of sex and age subpopulations based on DALYs. Certain dermatologic conditions were significantly associated with greater AI model performance compared to a reference category of less common conditions. For skin cancer conditions, the HEAL metric was 73.8% for prioritizing AI performance of age subpopulations based on DALYs. Analysis using the proposed HEAL framework showed that the dermatology AI model prioritised performance for race/ethnicity, sex (all conditions) and age (cancer conditions) subpopulations with respect to pre-existing health disparities. More work is needed to investigate ways of promoting equitable AI performance across age for non-cancer conditions and to better understand how AI models can contribute towards improving equity in health outcomes. Google LLC.

Integrating Cardio-Oncology Across the Research Pipeline, Policy, and Practice in Australia—An Australian Cardiovascular Alliance Perspective

Over 18 million people worldwide were diagnosed with cancer in 2020, including over 150,000 people in Australia. Although improved early detection and treatment have increased the survival rates, cardiotoxic treatment and inadequate management of cardiovascular risk factors have resulted in cardiovascular disease (CVD) being one of the leading causes of non-cancer-related death and disability among cancer survivors. International guidelines outline the standards of care for CVD risk surveillance and management. However, Australian cardio-oncology policies and clinical guidelines are limited. There is increasing growth of cardio-oncology research in Australia and support from leading Australian professional bodies and advocacy and research networks, including the Cardiac Society of Australia and New Zealand, the Clinical Oncology Society of Australia, the National Heart Foundation of Australia, and the Australian Cardiovascular Alliance (ACvA). Thus, opportunities to drive multidisciplinary cardio-oncology initiatives are growing, including grant funding, position statements, and novel research to inform new policies. The ACvA has a unique flagship structure that spans the translational research pipeline from drug discovery to implementation science. This article aims to highlight how multidisciplinary cardio-oncology innovations could intersect with the seven ACvA flagships, and to showcase Australian achievements in cardio-oncology thus far. We summarise eight key priority areas for future cardio-oncology research that emerged. These strategies will strengthen cardio-oncology research and care in Australia, and drive new guidelines, policies, and government initiatives to ensure equity in health outcomes for all cardio-oncology patients.