Ethnic, racial and migrant inequalities in respiratory health

Disparities in the incidence, prevalence, and morbidity and mortality rates of many respiratory diseases are evident among ethnic groups. Biological, cultural and environmental factors related to ethnicity can all contribute to the differences in respiratory health observed among ethnic minority groups, but the inequalities observed are most commonly due to lower socioeconomic position. People who migrate within a country or across an international border may experience an improvement in respiratory health associated with improvements in socioeconomic position. However, migrants may also experience worse health outcomes in destination countries, as they are faced by barriers in language and culture, discrimination, exclusion and limited access to health services. While some high-quality studies investigating ethnicity and respiratory health are available, further research into ethnic differences is needed. Improving the recording of ethnicity in health records, addressing barriers to accessing respiratory healthcare and improving cultural literacy more generally are some of the ways that inequalities can be tackled.Copyright © ERS 2023.

Characterization of Demographics and Concomittant Symptoms in Patients with Post COVID-19 Conditions or Long COVID

Objectives: Post COVID-19 conditions or long COVID continues to burden the healthcare system. With the introduction of new code in October 2021 to appropriately capture this condition (U09.9), we have enough data to understand the detailed demographic and clinical characterization of the patients with long COVID. As this new clinical entity continues to evolve, our study will provide insights for care management and planning. Method(s): We conducted a retrospective cohort study from a large deidentified database of US health insurance claims. The study population included all individuals with at least one ICD-10 code for COVID (U07.1) between June 1, 2021, and November 30, 2022. Individuals with at least one ICD-10 code for long COVID (U09.9), at least 7 days after COVID diagnosis were termed "Long COVID" patients. Index date was defined as the first long COVID diagnosis date. We also assessed the most prevalent diagnosis codes within the 30 days pre- and post-index to understand top symptoms. Result(s): A cohort of 253,145 patients (62% female patients;38% male patients) were identified. Among this cohort, 3.2% were pediatric patients aged 0 - 17 years;73.3 % aged 18 - 64 years and 23.5 % aged 65+ years. Most prevalent symptoms that increased in the 30 day pre- and post-index: Nervous system symptoms (6 fold), fatigue (7 fold), Dyspnea (4.3 fold), esophagitis (1.6 fold) chronic kidney disease (1.3 fold) among others. Conclusion(s): Our findings indicate that long COVID is more prevalent in females, with fatigue and dyspnea emerging as top symptoms. These findings are consistent with the published literature. However, we uncovered additional symptoms such as nervous system symptoms, chronic kidney disease among others. Additional analysis is planned to evaluate the association of these symptoms with sociodemographic features to understand the health inequity aspects of long COVID.Copyright © 2023

Bridging the gap: the challenge of mitigating health inequalities in lung cancer

Background: The COVID-19 pandemic, together with the cost-of- living crisis, have shone a light on health inequalities running through our society - not least in UK lung cancer. Lung cancer has the widest deprivation gap of all cancers. Despite published data about socio-economic factors, the amount of evidence available about other health inequalities is poor. Method(s): The Bridging the Gap report is the output from a Health Inequalities focus-group meeting of the UKLCC's Clinical Advisory Group in June 2022. These opinions were supplemented by views and information gathered from 15 interviews with leading lung cancer and health inequalities experts, from across the four UK nations in August/September 2022. Further desk research and literature reviews were carried out over the same period. Result(s): The report calls for a 'comprehensive' approach to data collection on health inequalities - to bridge gaps in current knowledge, improve outcomes and ensure people with lung cancer have equitable access to diagnosis, treatment, and care - wherever they live and from whatever background. Key recommendations include: * Extending the remit of the National Lung Cancer Audit (NLCA) to collect more data on ethnicity, LGBTQ+ and other health inequality factors - such as gender, religion and disability. * Establishing a single, coordinated data strategy, compiling evidence on health inequalities at local, regional and national levels. * Introducing a Personal Care and Access Card scheme, carried by the patient, combining their Holistic Needs Assessment information with their personal treatment and care plan to facilitate transfer of information between hospitals and specialists. * Disease awareness campaigns targeted to address local needs and communities. Conclusion(s): The UKLCC believes that - with the implementation of these recommendations and support from policy makers, commissioners and clinicians - we can successfully mitigate health inequalities in lung cancer and have further impact on lung cancer outcomes. Report accessible here: www.uklcc.org.uk/our-reports Disclosure: No significant relationships.Copyright © 2023 Elsevier B.V.

How to read a paper about inequality in respiratory disease: Basic epidemiological principles and how inequalities are measured

Health inequalities in respiratory disease are widespread, and monitoring them is important for advocacy, the design and delivery of health services, and informing wider health policy. In this chapter, we introduce the different ways in which health inequalities can be quantified, including measures that quantify absolute and relative inequalities, and those that measure gaps between groups or differences across the entire social gradient. We consider the strengths and limitations of these different approaches and highlight things to look out for when reading a paper on health inequalities in respiratory health. These include how common the outcome is and whether other factors have been adjusted for, as both can have a crucial impact on interpretation and can lead to misleading conclusions.Copyright © ERS 2023.

Societal drivers of antimicrobial resistance

Antimicrobial resistance is caused by and exacerbates social and health inequalities. Human and animal antimicrobial use is contributing as much as societal failures to dispose of and manage our waste and respect our environment. A multisector, multidisciplinary approach is required to resolve these issues.Copyright © ERS 2023.

Disparities in COVID-19 Related Outcomes in the United States By Race and Ethnicity: An Umbrella Review of Meta-Analyses

Objectives: Meta-analyses have investigated associations between race and ethnicity and COVID-19 outcomes. However, there is uncertainty about these associations' existence, magnitude, and level of evidence. We, therefore, aimed to synthesize, quantify, and grade the strength of evidence of race and ethnicity and COVID-19 outcomes in the US. Method(s): In this umbrella review, we searched four databases (Pubmed, Embase, the Cochrane Database of Systematic Reviews, and Epistemonikos) from database inception to April 2022. The methodological quality of each meta-analysis was assessed using the Assessment of Multiple Systematic Reviews, version 2 (AMSTAR-2). The strength of evidence of the associations between race and ethnicity with outcomes was ranked according to established criteria as convincing, highly suggestive, suggestive, weak, or non-significant. The study protocol was registered with PROSPERO, CRD42022336805 Results: Of 880 records screened, we selected seven meta-analyses for evidence synthesis, with 42 associations examined. Overall, 10 of 42 associations were statistically significant (p <= 0.05). Two associations were highly suggestive, two were suggestive, and two were weak, whereas the remaining 32 associations were non-significant. The risk of COVID-19 infection was higher in Black individuals compared to White individuals (risk ratio, 2.08, 95% Confidence Interval (CI), 1.60-2.71), which was supported by highly suggestive evidence;with the conservative estimates from the sensitivity analyses, this association remained suggestive. Among those infected with COVID-19, Hispanic individuals had a higher risk of COVID-19 hospitalization than non-Hispanic White individuals (odds ratio, 2.08, 95% CI, 1.60-2.70) with highly suggestive evidence which remained after sensitivity analyses. Conclusion(s): Individuals of Black and Hispanic groups had a higher risk of COVID-19 infection and hospitalization. These associations of race and ethnicity and COVID-19 outcomes existed more obviously in the pre-hospitalization stage. More consideration should be given in this stage for addressing health inequity.Copyright © 2023

A Comparative Study of Peripartum Mental Health Disorders between COVID-19-infected and Non-infected during the Pandemic

Introduction: This study was done to compare the prevalence of mental health disorders between COVID-19-infected and non-infected mothers during the COVID-19 pandemic. The secondary objective was to find out the risk factors and long-term outcome of peripartum depression (PPD). Material(s) and Method(s): This was an observational and comparative study using a questionnaire-based direct interview, conducted in a tertiary hospital. After judging the inclusion and exclusion criteria, 842 subjects were selected between September 2020 to December 2020. The Edinburgh postnatal depression scale (EPDS) and COVID-19 anxiety scale (CAS) was used for evaluation of the mental health. Subjects with PPD were followed up for a year. Result(s): The mean age of the subjects was 24.8 +/- 3.9 years, 142 (16.8%) were confirmed COVID-19 positive. Overall, 317 (37.6%) had possible PPD (EPDS >=14) and 763 (90.6%) had peripartum anxiety (EPDS anxiety subscore >=4). While there was no significant difference in the prevalence of PPD (32.6% vs 39%, p = 0.12), peripartum anxiety was higher among COVID non-infected subjects (91.6% vs 86.6%, p = 0.04). Furthermore, COVID-19-related anxiety was higher among COVID-19-infected compared to the non-infected [17 (10-28) vs 15 (8-25), p = 0.00]. In multivariate analysis, medical comorbidities (p = 0.000), history of psychiatric illness (p = 0.002), domestic violence (p = 0.032) and obstetric complications (p = 0.000) were significant risk factors for PPD. Among the subjects who had PPD, only 35% still had depression after a year. Conclusion(s): This study provides an in-depth analysis of PPD and anxiety during the COVID-19 pandemic, the risk factors, and the long-term effects. Clinical significance: It highlights the importance of routine screening for perinatal mental health disorders and early psychiatric consultation when required.Copyright © The Author(s).

Refining the process: Safety net dental professionals' experiences with teledentistry implementation during the first year of COVID-19.

OBJECTIVES: Teledentistry helped dentistry adapt to pandemic-era challenges; little is known about dental professionals' teledentistry experiences during this time. This analysis sought to understand professionals' pandemic teledentistry experiences and expectations for the modality's future. METHODS: We conducted virtual individual interviews (n = 21) via Zoom to understand how federally qualified health centers (FQHCs) delivered oral care during the first year of the pandemic, including but not limited to the use of teledentistry. We independently coded each transcript, then identified themes and sub-themes. RESULTS: We identified three major themes: (1) Logistical and equity considerations shaped teledentistry's adoption; (2) Team-based factors influenced implementation; and (3) Teledentistry's future is as-yet undetermined. CONCLUSIONS: Experiences with teledentistry during the first year of COVID-19 varied substantially. Future directions should be more deliberate to counter the urgency of pandemic-style implementation and must address appropriate use, reimbursement guidance, patient and provider challenges, and customizability to each clinic's context.

Increase in traumatic injury burden amidst COVID-19 was disproportionately shouldered by racial and ethnic minority patients: An urban case study

Background: When the COVID-19 pandemic intersected with the longstanding global pandemic of traumatic injury, it exacerbated racial and ethnic disparities in injury burden. As Milwaukee, Wisconsin is a racially diverse yet segregated urban city due to historic and ongoing systemic efforts, this populace provided an opportunity to further characterize injury disparities. Method(s): We analyzed trauma registry data from the only adult Level 1 trauma center in Milwaukee, WI before and during the COVID-19 pandemic (N = 19,908 patients from 2015-2021). We retrospectively fit seasonal ARIMA models to monthly injury counts to determine baseline injury burden pre-COVID-19 (Jan 2015-Mar 2020). This baseline data was used to forecast injury by race and ethnicity from April 2020 to December 2021 and was compared to actual injury counts. Result(s): For all mechanisms of injury (MOI), counts during the pandemic were significantly higher than forecasted for Black or African American (mean absolute percentage error, MAPE = 23.17) and Hispanic or Latino (MAPE = 26.67) but not White patients (MAPE = 12.72). Increased injury for Black or African American patients was driven by increases in motor vehicle crashes (MVCs) and firearm-related injury;increased injury for Hispanic or Latino patients was driven by falls and MVCs. Conclusion(s): The exacerbation of injury burden disparities during COVID-19, particularly in specific MOI, underscores the need for primary injury prevention within specific overburdened communities. Injury prevention requires intervention through social determinants of health, including addressing the impact of structural racism, as primary drivers of injury burden disparities.Copyright © The Author(s) 2023.

Health Disparities in Children with Covid-19 Early in the Pandemic: Socioeconomic Disadvantages Contributing to Severe Disease

Purpose of Study: Ethnic disparities are associated with increased risk for severe disease in pediatric patients with COVID-19. Identifying the underlying social determinants of health are necessary to lead to improved health care utilization and mitigation strategies. Methods Used: This is an observational cohort study of children with COVID-19 in Colorado (the CCC study) from March 15 2020-October 31 2020. Pediatric patients between 2-20 years of age with positive SARS-CoV-2 PCR were included. Multivariable logistical regression models were fitted to identify demographic, socioeconomic, and comorbid health conditions as predictors of severe COVID-19 disease, as defined by hospital admission and need for respiratory support. Summary of Results: We identified 1572 pediatric patients with COVID-19 (45% Hispanic, 54% Medicaid or uninsured, 16% non-English language, and 20% obese). In univariable analyses, Hispanic ethnicity was associated with severe outcomes, including hospital admission (OR 2.4, CI: 1.57, 3.80, p<0.01) and respiratory support (OR 2.4, CI: 1.38, 4.14, p<0.01). Patients who identified as Hispanic or Latino had significantly increased rates of obesity (28% vs. 14%, p<0.01), preferred non-English language (31% vs. 3%, p<0.01), and had Medicaid or no insurance (79% vs. 33%, p<0.01) when compared to non-Hispanic or Latino children. After adjusting for covariables, ethnicity was no longer associated with hospital admission (OR 0.9, CI: 0.53, 1.63, p=0.79) or respiratory support (OR 0.6, CI: 0.29, 1.21, p=0.15). Obesity (OR 1.9, CI: 1.15, 3.08, p=0.01), non-English language (OR 2.4, CI: 1.35, 4.23, p<0.01), and Medicaid insurance (OR 2.0, CI: 1.10, 3.71, p=0.02) were identified as independent risk factors for severe disease. Conclusion(s): Severe COVID-19 disease observed in Hispanic or Latino patients early in the pandemic appears to be secondary to underlying comorbid conditions, such as obesity, and socioeconomic disadvantages that may have influenced access to care, such as language and insurance status. Pediatric healthcare providers and public health officials should use this knowledge to tailor resource allocation to better target this underserved patient population.

Impact of the COVID-19 pandemic on cardiovascular disease mortality in a major metropolitan area.

Background: The mortality from COVID-19 alone cannot account for the impact of the pandemic. Cardiovascular disease (CVD) mortality has increased disproportionately in specific racial/ethnic populations. Objective: This study aimed to characterize how the COVID-19 pandemic impacted the association between CVD mortality and social and demographic factors as characterized by the Social Vulnerability Index (SVI). Methods: Medical Examiner Case Archive of Cook County, Illinois was utilized to identify CVD deaths in 2019 (pre-pandemic) and 2020 (pandemic). Rate ratios (RRs) were used to compare age-adjusted mortality rates (AAMRs). Addresses of deaths were geocoded to Chicago Community Areas. The Spearman's rank correlation coefficient (ρ) test was used to identify the association between SVI and CVD mortality. Results: AAMRs of CVD deaths significantly increased among non-Hispanic Black individuals (AAMRR, 1.1; 95 % CI, 1.1-1.2) and Hispanic individuals (AAMRR, 1.8; 95 % CI, 1.5-2.1) from 2019 to 2020. Among non-Hispanic White individuals, the AAMR did not significantly increase (AAMRR, 1.0; 95 % CI, 0.9-1.1). A significant positive association was observed between SVI and the percentage of non-Hispanic Black residents (ρ = 0.45; P < 0.05), while the inverse was observed with the percentage of non-Hispanic White residents (ρ = -0.77; P < 0.05). A significant positive association between SVI and CVD mortality rate increased (ρ = 0.24 and 0.28; P < 0.05). Conclusions: Significant association between SVI and CVD mortality was strengthened from 2019 to 2020, and CVD mortality increased among non-Hispanic Black and Hispanic populations. These findings demonstrate that the COVID-19 pandemic has led to an exacerbation of health inequities among different racial/ethnic populations resulting in increased CVD mortality.

Our Patients Need Empathy Training across Healthcare Professions.

Vulnerable populations are those who experience disparity at a disproportionate rate. For this article, specific vulnerable populations of interest include people who experience intellectual or developmental disorders, mental illness, or substance misuse. Vulnerable populations are some of the most stigmatized populations in our society. Research shows that vulnerable populations receive less empathic care than general health care populations, resulting in reduced quality of care and disparities in health outcomes. Empathy, a necessary health care competency, is associated with improved patient outcomes, enhanced job satisfaction, and increased retention and resilience across health care professions. However, there is no current standard for how empathy is taught, assessed, or sustained. Even when empathy education is implemented in healthcare professions curricula, research has demonstrated that it appears to erode with experience and time. In addition, the COVID-19 pandemic has exacerbated inequities in health care systems, with consequences for both patients and providers. There is an urgent need to develop efficacious training in empathy across health care professions to foster and sustain a robust workforce and improve health care experiences and outcomes.

COVID-19 Cases are Associated with Food Insufficiency in the United States During the COVID-19 Pandemic

This research examined the association between COVID-19 cases and food insufficiency in the United States using repeated cross-sectional data from the Household Pulse Survey (April 23, 2020-May 24, 2021, n = 2,618,027). New daily cases averaged 65,160.93 throughout the study period. A 70,000-unit increase in COVID-19 cases was associated with a 13% higher odds of food insufficiency (OR = 1.13, 95% CI: 1.12-1.15). Participants with mild (OR = 2.72, 95% CI: 2.61-2.84), moderate (OR = 4.58, 95% CI: 4.36-4.81), or severe (OR = 8.75, 95% CI: 8.42-9.09) anxiety/depression and Black participants (OR = 2.36, 95% CI: 2.29-2.44) had the highest odds of reporting food insufficiency during the pandemic.Copyright © 2023 Taylor & Francis Group, LLC.