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INTRODUCTION: Organised by the 'Qualitative Long Covid Network', a workshop for qualitative Long COVID (LC) researchers, LC charity representatives and people with LC took place in June 2023, where research on the intersectional inequalities affecting LC prevalence, recognition and care was shared and discussed. METHODS: Five key themes were drawn up from presentations, discussions and reflections during the workshop, which are presented in this study. RESULTS: The following five themes are discussed: the unfairness of LC, difficulties in accessing care, mistrust of the healthcare system, a lack of understanding of LC and experiences of stigma and discrimination. Factors that widen or narrow inequalities related to LC were identified. CONCLUSION: A call to action is proposed to investigate and address inequalities through a robust LC research agenda that speaks with conviction to policy and decision-makers. We argue that there needs to be a strong investment in research and evidence-based policy and practice to mitigate the worst effects of the condition and address the inequalities in experience, treatment and support, which are experienced more often and more acutely by some of society's most vulnerable and disadvantaged individuals. PATIENT AND PUBLIC (PPI) CONTRIBUTION: Projects included in this article had PPI ongoing activity to inform their research. A member of the CONVALESCENCE PPI group presented at the QLC Network 'Long Covid and Health Inequalities' workshop, as did members of Long COVID Kids, Long COVID Support and Long COVID SOS charities. They were all invited to be co-authors of this article.

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This JAMA Forum discusses the epidemiological and theoretical explanations regarding the erosion of the Latino health advantage in the US and proposes policies to promote Latino immigrant health.

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Racial and ethnic inequity exists throughout the lifespan, including at the end of life (EOL). Although prognostication is inherently fraught with uncertainty, many underrepresented minorities get prognoses that are overly optimistic, which can exacerbate inequity by depriving patients of details needed to make informed decisions and plan for EOL care. This article applies a health equity lens to facilitate better ethical and clinical understandings of how to care for patients of color more equitably at the EOL.

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BACKGROUND: In 2009, Gary and colleagues reviewed prior research examining racial and ethnic differences in outcomes after traumatic brain injury (TBI). Over the past 15 years, advances in research and changes in the demographic composition of the United States warrant a comprehensive understanding of racial and ethnic disparities after TBI. OBJECTIVE: A systematic review will be conducted to examine racial and ethnic differences in TBI outcomes from 2009 to 2023. METHODS: Preliminary searches and study screening processes will identify relevant English-language articles published from January 2009 to December 2023 using the CINAHL, Gale OneFile, PsycINFO (Ovid), and PubMed electronic databases. Relevant articles will include quantitative or mixed method approaches, involve individuals with TBI or their caregivers, and compare 2 or more groups by race or ethnicity on post-TBI outcomes. Quality will be assessed using the Newcastle-Ottawa Scale. This systematic review protocol was developed following PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) guidelines. Results will be summarized, and a subgroup analysis may be conducted based on demographics (eg, age, gender, or sex). RESULTS: We have already identified abstracts using the search strategy for all 4 of the included electronic databases. We recently updated the search and will begin abstract screening of the additional abstracts identified from the last search completed in January 2024. This systematic review is anticipated to be completed by fall 2024, and its findings will be disseminated to the scientific community, persons with TBI, caregivers, and the lay audience. CONCLUSIONS: This systematic review will advance our understanding regarding outcome disparities among minoritized individuals with TBI, examine progress over the past 15 years in minimizing barriers encountered by these racial and ethnic groups, and provide professionals with a roadmap illustrating existing gaps in rehabilitation care, making way for further development and implementation of evidence-based interventions to improve health equity in TBI outcomes. TRIAL REGISTRATION: PROSPERO CRD42023394529; https://tinyurl.com/53mtcz9b. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/58763.

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BACKGROUND: Out-of-pocket healthcare expenditure (OOPHE) without adequate social protection often translates to inequitable financial burden and utilization of services. Recent publications highlighted Cambodia's progress towards Universal Health Coverage (UHC) with reduced incidence of catastrophic health expenditure (CHE) and improvements in its distribution. However, departing from standard CHE measurement methods suggests a different storyline on trends and inequality in the country. OBJECTIVE: This study revisits the distribution and impact of OOPHE and its financial burden from 2009-19, employing alternative socio-economic and economic shock metrics. It also identifies determinants of the financial burden and evaluates inequality-contributing and -mitigating factors from 2014-19, including coping mechanisms, free healthcare, and OOPHE financing sources. METHODS: Data from the Cambodian Socio-Economic Surveys of 2009, 2014, and 2019 were utilized. An alternative measure to CHE is proposed: Excessive financial burden (EFB). A household was considered under EFB when its OOPHE surpassed 10% or 25% of total consumption, excluding healthcare costs. A polychoric wealth index was used to rank households and measure EFB inequality using the Erreygers Concentration Index. Inequality shifts from 2014-19 were decomposed using the Recentered Influence Function regression followed by the Oaxaca-Blinder method. Determinants of financial burden levels were assessed through zero-inflated ordered logit regression. RESULTS: Between 2009-19, EFB incidence increased from 10.95% to 17.92% at the 10% threshold, and from 4.41% to 7.29% at the 25% threshold. EFB was systematically concentrated among the poorest households, with inequality sharply rising over time, and nearly a quarter of the poorest households facing EFB at the 10% threshold. The main determinants of financial burden were geographic location, household size, age and education of household head, social health protection coverage, disease prevalence, hospitalization, and coping strategies. Urbanization, biased disease burdens, and preventive care were key in explaining the evolution of inequality. CONCLUSION: More efforts are needed to expand social protection, but monitoring those through standard measures such as CHE has masked inequality and the burden of the poor. The financial burden across the population has risen and become more unequal over the past decade despite expansion and improvements in social health protection schemes. Health Equity funds have, to some extent, mitigated inequality over time. However, their slow expansion and the reduced reliance on coping strategies to finance OOPHE could not outbalance inequality.

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BACKGROUND: National health systems have different strengths and resilience levels. During the COVID-19 pandemic, resources often had to be reallocated and this impacted the availability of healthcare services in many countries. To date there have been few quantitative contemporary studies of inequalities in access to healthcare within and between countries. In this study, we aim to compare inequality within and between 16 economically diverse countries. METHODS: Online surveys were conducted on 22 150 adults in 16 countries across six continents in 2022. Quota sampling and post-stratification weighting was used to obtain an age, gender, geographically, and educationally representative sample. The study assesses the differences in challenges in access to healthcare during the pandemic (for GP, surgical/clinical and digital GP services) using country-specific expanded health-needs-adjusted Erreygers' concentration indices and compares these values between countries using a Spearman's rank correlation coefficient. RESULTS: Results show wide variation in income-related challenges in access within countries for different types of care. For example, Erreygers' concentration index for digital services in Colombia exhibited highly regressive inequality at 0·17, compared to Japan with an index of -0·15. Inequalities between countries were also evident, with Spearman rank coefficients of -0·69 and -0·65 (p-values of 0·003 and 0·006) for digital and surgical access, indicating that lower income countries had greater inequality in healthcare access challenges. CONCLUSION: During the pandemic, inequalities in challenges to accessing healthcare were greatest in low and middle-income countries. Digital technologies offer a reasonable means to address some of this inequality if adequate support is provided and accessible digital infrastructure exists.

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BACKGROUND: Limited digital literacy is a barrier for vulnerable patients accessing health care. OBJECTIVE: The Stanford Technology Access Resource Team (START), a service-learning course created to bridge the telehealth digital divide, trained undergraduate and graduate students to provide hands-on patient support to improve access to electronic medical records (EMRs) and video visits while learning about social determinants of health. METHODS: START students reached out to 1185 patients (n=711, 60% from primary care clinics of a large academic medical center and n=474, 40% from a federally qualified health center). Registries consisted of patients without an EMR account (at primary care clinics) or patients with a scheduled telehealth visit (at a federally qualified health center). Patient outcomes were evaluated by successful EMR enrollments and video visit setups. Student outcomes were assessed by reflections coded for thematic content. RESULTS: Over 6 academic quarters, 57 students reached out to 1185 registry patients. Of the 229 patients contacted, 141 desired technical support. START students successfully established EMR accounts and set up video visits for 78.7% (111/141) of patients. After program completion, we reached out to 13.5% (19/141) of patients to collect perspectives on program utility. The majority (18/19, 94.7%) reported that START students were helpful, and 73.7% (14/19) reported that they had successfully connected with their health care provider in a digital visit. Inability to establish access included a lack of Wi-Fi or device access, the absence of an interpreter, and a disability that precluded the use of video visits. Qualitative analysis of student reflections showed an impact on future career goals and improved awareness of health disparities of technology access. CONCLUSIONS: Of the patients who desired telehealth access, START improved access for 78.7% (111/141) of patients. Students found that START broadened their understanding of health disparities and social determinants of health and influenced their future career goals.

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Healthcare systems must embody equity, diversity, and inclusion (EDI) and, in the event of unfairness, appropriate policies / countermeasures should be enacted. The healthcare system response to the COVID-19 pandemic not only highlighted how socioeconomic disparities affect mortality risk but also posed significant challenges to the successful practice of EDI in healthcare. In light of this, this article was written to provide an overview of EDI, analyze the international efforts to promote it, and suggest strategies for promoting EDI in infectious disease healthcare using COVID-19 as an example. In healthcare settings, equity centers on ensuring patients receive fair treatment regardless of race, gender, age, or socioeconomic status; diversity centers on healthcare providers understanding the uniqueness of patients from different cultural backgrounds and the health barriers they face; and inclusion centers on ensuring patients are treated with respect and given the attention they deserve. During pandemics, social determinants of health (SDOH) greatly impact patient health outcomes and hinder the practice of EDI. Reflecting on the impact of COVID-19, healthcare systems can actively apply EDI in clinical practice to provide to all patients equitable access to healthcare opportunities and outcomes. Practical strategies include establishing EDI committees within healthcare systems, monitoring relevant data, conducting staff training, and continuously addressing the SDOH and needs of marginalized groups to achieve EDI in healthcare.

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Background: In the United States, Black and Latino children with asthma are more likely than White children with asthma to require emergency department visits or hospitalizations because of an asthma exacerbation. Although many cite patient-level socioeconomic status and access to health care as primary drivers of disparities, there is an emerging focus on a major root cause of disparities-systemic racism. Current conceptual models of asthma disparities depict the historical and current effects of systemic racism as the foundation for unequal exposures to social determinants of health, environmental exposures, epigenetic factors, and differential healthcare access and quality. These ultimately lead to biologic changes over the life course resulting in asthma morbidity and mortality. Methods: At the 2022 American Thoracic Society International Conference, a diverse panel of experts was assembled to identify gaps and opportunities to address systemic racism in childhood asthma research. Panelists found that to examine and address the impacts of systemic racism on children with asthma, researchers and medical systems that support biomedical research will need to 1) address the current gaps in our understanding of how to conceptualize and characterize the impacts of systemic racism on child health, 2) design research studies that leverage diverse disciplines and engage the communities affected by systemic racism in identifying and designing studies to evaluate interventions that address the racialized system that contributes to disparities in asthma health outcomes, and 3) address funding mechanisms and institutional research practices that will be needed to promote antiracism practices in research and its dissemination. Results: A thorough literature review and expert opinion discussion demonstrated that there are few studies in childhood asthma that identify systemic racism as a root cause of many of the disparities seen in children with asthma. Community engagement and participation in research studies is essential to design interventions to address the racialized system in which patients and families live. Dissemination and implementation studies with an equity lens will provide the multilevel evaluations required to understand the impacts of interventions to address systemic racism and the downstream impacts. To address the impacts of systemic racism and childhood asthma, there needs to be increased training for research teams, funding for studies addressing research that evaluates the impacts of racism, funding for diverse and multidisciplinary research teams including community members, and institutional and financial support of advocating for policy changes based on study findings. Conclusions: Innovative study design, new tools to identify the impacts of systemic racism, community engagement, and improved infrastructure and funding are all needed to support research that will address impacts of systemic racism on childhood asthma outcomes.

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There has long existed a substantial disparity in access to radiotherapy globally. This issue has only been exacerbated as the growing disparity of cancer incidence between high-income countries (HIC) and low and middle-income countries (LMICs) widens, with a pronounced increase in cancer cases in LMICs. Even within HICs, iniquities within local communities may lead to a lack of access to care. Due to these trends, it is imperative to find solutions to narrow global disparities. This requires the engagement of a diverse cohort of stakeholders, including working professionals, non-governmental organizations, nonprofits, professional societies, academic and training institutions, and industry. This review brings together a diverse group of experts to highlight critical areas that could help reduce the current global disparities in radiation oncology. Advancements in technology and treatment, such as artificial intelligence, brachytherapy, hypofractionation, and digital networks, in combination with implementation science and novel funding mechanisms, offer means for increasing access to care and education globally. Common themes across sections reveal how utilizing these new innovations and strengthening collaborative efforts among stakeholders can help improve access to care globally while setting the framework for the next generation of innovations.

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OBJECTIVE: To analyze the incompleteness and trend of incompleteness of the race/color variable in hospitalizations due to COVID-19 whose outcome was death, in Brazil, between April 2020 and April 2022. METHODS: Ecological time series study on the incompleteness of the race/color variable in hospitalizations due to COVID-19 whose outcome was death in Brazil, its macro-regions and Federative Units (FU), by joinpoint regression, calculation of Monthly Percent Change (MPC) and Average Monthly Percent Change (AMPC), based on data from the Hospital Information System of the Unified Health System (SIH/SUS). RESULTS: The incompleteness of the race/color variable in COVID-19 hospitalizations with a death outcome in Brazil was 25.85%, considered poor. All regions of the country had a poor degree of incompleteness, except for the South, which was considered regular. In the period analyzed, the joinpoint analysis revealed a stable trend in the incompleteness of the race/color variable in Brazil (AMPC = 0.54; 95%CI: -0.64 to 1.74; p = 0.37) and in the Southeast (AMPC = -0.61; 95%CI: -3.36 to 2.22; p = 0.67) and North (AMPC = 3.74; 95%CI: -0.14 to 7.78; p = 0.06) regions. The South (AMPC = 5.49; 95%CI: 2.94 to 8.11; p = 0.00002) and Northeast (AMP = 2.50; 95%CI: 0.77 to 4.25; p = 0.005) regions showed an increase in the incompleteness trend, while the Midwest (AMPC = -2.91 ; 95%CI: -5.26 to -0.51; p = 0.02) showed a downward trend. CONCLUSION: The proportion of poor completeness and the stable trend of incompleteness show that there was no improvement in the quality of filling in the race/color variable during the COVID-19 pandemic in Brazil, a fact that may have increased health inequalities for the black population and made it difficult to plan strategic actions for this population, considering the pandemic context. The results found reinforce the need to encourage discussion on the subject, given that the incompleteness of health information systems increases inequalities in access to health services and compromises the quality of health data.

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OBJECTIVE: Owing to the coronavirus disease 2019 (COVID-19) pandemic, many developmental-behavioral pediatric (DBP) practices adopted telehealth for care delivery. However, telehealth access and use for families with a preferred language other than English (PLOE) is an equity concern. Therefore, our study objective is to compare rates of telehealth utilization and visit completion by preferred family language among patients seen for DBP assessments during the COVID-19 pandemic. METHODS: We completed a descriptive chart review using electronic health record data at 4 academic DBP practices to examine visits for patients up to 5 years seen for new-patient appointments between April 2020 and April 2021. We compared rates of in-person and telehealth visits by preferred family language and visit outcome (completed or missed). RESULTS: A total of 3241 visits were scheduled between April 2020 and April 2021; 48.2% were for in-person and 51.8% for telehealth. Families reported the following languages: 90.5% English, 6.2% Spanish, and 3.3% other language. Missed visits accounted for 7.6% of scheduled visits. The relative percentage of in-person versus telehealth visits varied significantly by site (p < 0.001) and preferred family language (p < 0.001). English-speaking patients had 2.10 times the odds of being scheduled for telehealth compared with patients with PLOE, adjusting for site. Statistically significant differences were not found for visit outcome (completed or missed) by visit type (in-person or telehealth) (p = 0.79), including after accounting for PLOE status (p = 0.83). CONCLUSION: At the height of the pandemic, most English-speaking families were scheduled for new DBP evaluations by telehealth, but fewer families with PLOE were. Attention to language to ensure telehealth access equity is critical.

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INTRODUCTION: Socioeconomic status (SES) affects access to care for traumatic rotator cuff (RTC) tears. Delayed time to treatment (TTT) of traumatic RTC tears results in worse functional outcomes. We investigated disparities in TTT and hypothesized that individuals from areas of low SES would have longer time to surgical repair. METHODS: Patients who underwent repair of a traumatic RTC tear were retrospectively reviewed. Median household income and Social Deprivation Index were used as a proxy for SES. The primary outcome was TTT. Patients were further stratified by preoperative forward flexion and number of tendons torn. RESULTS: A total of 221 patients met inclusion criteria. No significant difference in TTT was observed between income classes (P = 0.222) or Social Deprivation Index quartiles (P = 0.785). Further stratification by preoperative forward flexion and number of tendons torn also yielded no significant difference in TTT. DISCUSSION: Contrary to delays in orthopaedic care documented in literature, our study yielded no difference in TTT between varying levels of SES, even when stratified by the severity of injury. Thus, we reject our original hypothesis. Based on our findings, mechanisms in place at our institution may have mitigated some of these health disparities within our community.

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INTRODUCTION: In the United States (US), racial and socioeconomic disparities have been implicated in pediatric intensive care unit (PICU) admissions and outcomes, with higher rates of critical illness in more deprived areas. The degree to which this persists despite insurance coverage is unknown. We investigated whether disparities exist in PICU admission and mortality according to socioeconomic position and race in children receiving Medicaid. METHODS: Using Medicaid data from 2007-2014 from 23 US states, we tested the association between area level deprivation and race on PICU admission (among hospitalized children) and mortality (among PICU admissions). Race was categorized as Black, White, other and missing. Patient-level ZIP Code was used to generate a multicomponent variable describing area-level social vulnerability index (SVI). Race and SVI were simultaneously tested for associations with PICU admission and mortality. RESULTS: The cohort contained 8,914,347 children (23·0% Black). There was no clear trend in odds of PICU admission by SVI; however, children residing in the most vulnerable quartile had increased PICU mortality (aOR 1·12 (95%CI 1·04-1·20; p = 0·0021). Black children had higher odds of PICU admission (aOR 1·04; 95% CI 1·03-1·05; p < 0·0001) and higher mortality (aOR 1·09; 95% CI 1·02-1·16; p = 0·0109) relative to White children. Substantial state-level variation was apparent, with the odds of mortality in Black children varying from 0·62 to 1·8. CONCLUSION: In a Medicaid cohort from 2007-2014, children with greater socioeconomic vulnerability had increased odds of PICU mortality. Black children were at increased risk of PICU admission and mortality, with substantial state-level variation. Our work highlights the persistence of sociodemographic disparities in outcomes even among insured children.

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INTRODUCTION: To better understand the SDOH-health equity landscape within a community oncology setting to answer the research question, "Which SDOH can have the highest impact in community oncology to advance patient care equity and improve health outcomes?" METHODS: Arksey and O'Malley's scoping review framework was used to identify evidence related to SDOH and health equity in community oncology. The study was guided by the "10-Step Framework for Continuous Patient Engagement" and a Community Advisory Board to assure relevance to patients and community providers. Literature was retrieved from literary databases and oncology organizations' websites. Eligible studies included discussion of SDOH and health equity as outlined by the World Health Organization and Centers for Disease Control and Prevention, respectively, and involved community oncology/cancer care in outpatient settings. Studies were excluded if the SDOH-health equity relationship was not discussed. RESULTS: The review resulted in 61 exploratory and 17 confirmatory "intervention" studies addressing the impact of SDOH on health equity in community oncology settings. The most frequently SDOH-health equity pairs identified were the SDOH categories, social inclusion and non-discrimination, income and social protection, and structural conflict, all paired with the health equity category, access to care/treatment. Confirmatory studies focused on income and social protection (SDOH) and access to care/treatment (health equity); the SDOH categories, social inclusion and non-discrimination and health/general literacy-patient, paired with the health equity category, and adherence/compliance. CONCLUSIONS: Literature highlights the SDOH and health equity relationship within the realm of oncology. Most studies on SDOH/health inequities in the community oncology setting are exploratory. There is the need to shift from documentation of cancer inequities to implementing solutions.

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Importance: Individuals with opioid use disorder (OUD) and criminal justice system involvement experience high rates of overdose death. Historical data point to limited use of medications for opioid use disorder (MOUD) in criminal justice system-referred treatment for OUD as playing a role. However, how MOUD use among those referred to treatment by the criminal justice system has changed relative to other referral sources over time is still unclear, as well as how it varies across states. Objective: To examine disparities in the use of MOUD between individuals referred to treatment by the criminal justice system compared to other referral sources over time. Design, Setting, and Participants: This cross-sectional study included admissions to specialty substance use treatment facilities for OUD in the national Treatment Episodes Dataset-Admissions from 2014 to 2021. Logistic regression models were used to examine trends in the probability of MOUD use among individuals with and without criminal justice referrals for OUD treatment, as well as any differential trends by state. The data were analyzed from September 2023 to August 2024. Main Outcome and Measure: The main outcome was the probability that treatment for individuals with OUD included MOUD. Results: A total of 3 235 445 admissions were analyzed in the study data. Among individuals referred to OUD treatment by the criminal justice system, the probability that treatment included MOUD increased by 3.42 percentage points (pp) (95% CI, 3.37 pp to 3.47 pp) annually from 2014 to 2021. This was faster than the increase in the probability of MOUD use for noncriminal justice-referred admissions (2.49 pp [95% CI, 2.46 pp to 2.51 pp) and reduced, but did not eliminate, disparities in MOUD use between individuals with and without criminal justice system-referred treatment. In 2021, only 33.6% of individuals in criminal justice system-referred treatment received MOUD, 15.6 pp lower than for individuals referred to treatment by other sources. Trends in the probability of MOUD use varied substantially for individuals in criminal justice system-referred treatment across states, but very few experienced enough growth to eliminate this disparity. Conclusions and Relevance: The results of this cross-sectional study suggest that targeted efforts to address persistent disparities in MOUD use among those with OUD and criminal justice system involvement are needed to address the poor health outcomes experienced by this population.

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