The Power of Community: The Role of Community-Based Organizations in Mitigating COVID-19-Related Impacts on Well-Being Among South Florida's Minoritized Populations

The rapid closure of schools and businesses during the COVID-19 pandemic has had a significant impact in South Florida, highlighting diverse challenges to community well-being. Community-based organizations (CBOs) have served as a source of support for community members, particularly in stressful times. Using a combination of quantitative and qualitative methods, and in collaboration with Breakthrough Miami, a CBO committed to addressing the educational opportunity gap in Miami-Dade County, we conducted a study to assess challenges to the well-being of systematically minoritized families during the heart of the COVID-19 pandemic. The study included longitudinal survey data collected via ecological momentary assessment and in-depth interviews with Breakthrough Miami families to gather richer and nuanced data regarding indicators of well-being and CBO engagement. Quantitative results indicated that as perceived stress increased over time, so too did emotional and informational support. Follow-up qualitative interviews indicated that 100% of families identified Breakthrough Miami as a source of academic support during the pandemic. Additionally, families cited the important role Breakthrough Miami played beyond their standard academic programs and services in coping with the most significant sources of stress reported through the pandemic: meeting basic needs and threats to socioemotional well-being. Implications for CBOs are addressed

The Power of Community: The Role of Community-Based Organizations in Mitigating COVID-19-Related Impacts on Well-Being Among South Florida's Minoritized Populations

The rapid closure of schools and businesses during the COVID-19 pandemic has had a significant impact in South Florida, highlighting diverse challenges to community well-being. Community-based organizations (CBOs) have served as a source of support for community members, particularly in stressful times. Using a combination of quantitative and qualitative methods, and in collaboration with Breakthrough Miami, a CBO committed to addressing the educational opportunity gap in Miami-Dade County, we conducted a study to assess challenges to the well-being of systematically minoritized families during the heart of the COVID-19 pandemic. The study included longitudinal survey data collected via ecological momentary assessment and in-depth interviews with Breakthrough Miami families to gather richer and nuanced data regarding indicators of well-being and CBO engagement. Quantitative results indicated that as perceived stress increased over time, so too did emotional and informational support. Follow-up qualitative interviews indicated that 100% of families identified Breakthrough Miami as a source of academic support during the pandemic. Additionally, families cited the important role Breakthrough Miami played beyond their standard academic programs and services in coping with the most significant sources of stress reported through the pandemic: meeting basic needs and threats to socioemotional well-being. Implications for CBOs are addressed

Prescribing Prevalence of Medications With Potential Genotype-Guided Dosing in Pediatric Patients

Importance: Genotype-guided prescribing in pediatrics could prevent adverse drug reactions and improve therapeutic response. Clinical pharmacogenetic implementation guidelines are available for many medications commonly prescribed to children. Frequencies of medication prescription and actionable genotypes (genotypes where a prescribing change may be indicated) inform the potential value of pharmacogenetic implementation. Objective: To assess potential opportunities for genotype-guided prescribing in pediatric populations among multiple health systems by examining the prevalence of prescriptions for each drug with the highest level of evidence (Clinical Pharmacogenetics Implementation Consortium level A) and estimating the prevalence of potential actionable prescribing decisions. Design, setting, and participants: This serial cross-sectional study of prescribing prevalences in 16 health systems included electronic health records data from pediatric inpatient and outpatient encounters from January 1, 2011, to December 31, 2017. The health systems included academic medical centers with free-standing children's hospitals and community hospitals that were part of an adult health care system. Participants included approximately 2.9 million patients younger than 21 years observed per year. Data were analyzed from June 5, 2018, to April 14, 2020. Exposures: Prescription of 38 level A medications based on electronic health records. Main outcomes and measures: Annual prevalence of level A medication prescribing and estimated actionable exposures, calculated by combining estimated site-year prevalences across sites with each site weighted equally. Results: Data from approximately 2.9 million pediatric patients (median age, 8 [interquartile range, 2-16] years; 50.7% female, 62.3% White) were analyzed for a typical calendar year. The annual prescribing prevalence of at least 1 level A drug ranged from 7987 to 10 629 per 100 000 patients with increasing trends from 2011 to 2014. The most prescribed level A drug was the antiemetic ondansetron (annual prevalence of exposure, 8107 [95% CI, 8077-8137] per 100 000 children). Among commonly prescribed opioids, annual prevalence per 100 000 patients was 295 (95% CI, 273-317) for tramadol, 571 (95% CI, 557-586) for codeine, and 2116 (95% CI, 2097-2135) for oxycodone. The antidepressants citalopram, escitalopram, and amitriptyline were also commonly prescribed (annual prevalence, approximately 250 per 100 000 patients for each). Estimated prevalences of actionable exposures were highest for oxycodone and ondansetron (>300 per 100 000 patients annually). CYP2D6 and CYP2C19 substrates were more frequently prescribed than medications influenced by other genes. Conclusions and relevance: These findings suggest that opportunities for pharmacogenetic implementation among pediatric patients in the US are abundant. As expected, the greatest opportunity exists with implementing CYP2D6 and CYP2C19 pharmacogenetic guidance for commonly prescribed antiemetics, analgesics, and antidepressants

Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation: As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and developm nt investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens

Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations

Background Type 2 diabetes (T2D) is a worldwide scourge caused by both genetic and environmental risk factors that disproportionately afflicts communities of color. Leveraging existing large-scale genome-wide association studies (GWAS), polygenic risk scores (PRS) have shown promise to complement established clinical risk factors and intervention paradigms, and improve early diagnosis and prevention of T2D. However, to date, T2D PRS have been most widely developed and validated in individuals of European descent. Comprehensive assessment of T2D PRS in non-European populations is critical for equitable deployment of PRS to clinical practice that benefits global populations. Methods We integrated T2D GWAS in European, African, and East Asian populations to construct a trans-ancestry T2D PRS using a newly developed Bayesian polygenic modeling method, and assessed the prediction accuracy of the PRS in the multi-ethnic Electronic Medical Records and Genomics (eMERGE) study (11,945 cases; 57,694 controls), four Black cohorts (5137 cases; 9657 controls), and the Taiwan Biobank (4570 cases; 84,996 controls). We additionally evaluated a post hoc ancestry adjustment method that can express the polygenic risk on the same scale across ancestrally diverse individuals and facilitate the clinical implementation of the PRS in prospective cohorts. Results The trans-ancestry PRS was significantly associated with T2D status across the ancestral groups examined. The top 2% of the PRS distribution can identify individuals with an approximately 2.5–4.5-fold of increase in T2D risk, which corresponds to the increased risk of T2D for first-degree relatives. The post hoc ancestry adjustment method eliminated major distributional differences in the PRS across ancestries without compromising its predictive performance. Conclusions By integrating T2D GWAS from multiple populations, we developed and validated a trans-ancestry PRS, and demonstrated its potential as a meaningful index of risk among diverse patients in clinical settings. Our efforts represent the first step towards the implementation of the T2D PRS into routine healthcare

Postpartum during a pandemic: Challenges of low-income individuals with healthcare interactions during COVID-19.

BackgroundChanges to the healthcare system due to COVID-19 have altered care delivery during birth and the postpartum period, a transitional time that requires intensive healthcare support and that is complicated by well-established health disparities. Our objective was to identify additional challenges to healthcare interactions that emerged for low-income postpartum individuals during the pandemic.MethodsThis is a qualitative investigation of low-income postpartum individuals enrolled in a trial of postpartum care, who gave birth in the United States in the first three months of the COVID-19 pandemic. Participants completed in-depth semi-structured interviews that addressed healthcare experiences during and after birth, both for in-person and telemedicine encounters. Transcripts were analyzed using the constant comparative method.ResultsOf 46 eligible individuals, 87% (N = 40) completed an interview, with 50% identifying as non-Hispanic Black and 38% as Hispanic. Challenges were organized into three domains: unanticipated changes in the birth experience, delayed care, and perceived disadvantages of telemedicine. Changes in the birth experience addressed uncertainty about COVID-19 status, COVID-19 testing, separation from newborn, and visitor restrictions. Delayed care themes addressed logistical challenges, postpartum care, health maintenance, and pediatric care. Participants reported multiple telemedicine-related challenges, including difficulty establishing rapport with providers.ConclusionsUnderstanding the challenges experienced by low-income peripartum individuals as the COVID-19 pandemic evolves is critical to informing guidelines and diminishing inequities in healthcare delivery. Potential solutions that may mitigate limitations to care in the pandemic include emphasizing shared decision-making in care processes and developing communication strategies to improve telemedicine rapport

Primary Care Clinician Perspectives on Patient Navigation to Improve Postpartum Care for Patients with Low Income.

Background: Birthing individuals experience significant physical and psychosocial transitions during the postpartum period. Despite amplified health needs, many individuals do not successfully transition from obstetric to primary care. Patient navigation provides a patient-centered solution that has been applied to other health care specialties resulting in improved care coordination and patient engagement for populations in greatest need. Our objective was to understand primary care clinician perspectives regarding the role of navigators in improving postpartum care for individuals with low income. Methods: In this qualitative investigation, we conducted focus groups with primary care clinicians from family and internal medicine specialties. Semistructured interview guides addressed clinician perceptions of navigator roles during the postpartum period and recommendations for navigator training. Focus group discussions were digitally recorded, transcribed, and analyzed via a constant comparative method. Results: Twenty-eight primary care clinicians, including 26 physicians and 2 advanced practice registered nurses, participated in 8 focus groups. Participants reported favorable attitudes toward implementation of a postpartum patient navigation program. Themes regarding useful navigation services included streamlining obstetric to primary care transition, enhancing visit effectiveness, creating personalized postpartum care, and providing patient- and clinician-focused education. Recommendations for navigator training included education on basic medical concerns that are common in the postpartum period, health information privacy and electronic health record use, health care systems, and community resources. Clinical Trial Registration number: NCT03922334. Conclusions: Primary care clinicians were highly receptive to the concept of patient navigation as a process to improve health in the postpartum period through enhanced care coordination and improved patient knowledge, engagement, and self-efficacy. Keywords: care coordination; clinician perspectives; patient navigation; postpartum care; primary care; transitions of care

Feature tracking CMR reveals abnormal strain in preclinical arrhythmogenic right ventricular dysplasia/ cardiomyopathy : A multisoftware feasibility and clinical implementation study

Background: Regional right ventricular (RV) dysfunction is the hallmark of Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy (ARVD/C), but is currently only qualitatively evaluated in the clinical setting. Feature Tracking Cardiovascular Magnetic Resonance (FT-CMR) is a novel quantitative method that uses cine CMR to calculate strain values. However, most prior FT-CMR studies in ARVD/C have focused on global RV strain using different software methods, complicating implementation of FT-CMR in clinical practice. We aimed to assess the clinical value of global and regional strain using FT-CMR in ARVD/C and to determine differences between commercially available FT-CMR software packages. Methods: We analyzed cine CMR images of 110 subjects (39 overt ARVD/C [mutation+/phenotype+], 40 preclinical ARVD/C [mutation+/phenotype-] and 31 control) for global and regional (subtricuspid, anterior, apical) RV strain in the horizontal longitudinal axis using four FT-CMR software methods (Multimodality Tissue Tracking, TomTec, Medis and Circle Cardiovascular Imaging). Intersoftware agreement was assessed using Bland Altman plots. Results: For global strain, all methods showed reduced strain in overt ARVD/C patients compared to control subjects (p 0.275). For regional strain, overt ARVD/C patients showed reduced strain compared to control subjects in all segments which reached statistical significance in the subtricuspid region for all software methods (p < 0.037), in the anterior wall for two methods (p < 0.005) and in the apex for one method (p = 0.012). Preclinical subjects showed abnormal subtricuspid strain compared to control subjects using one of the software methods (p = 0.009). Agreement between software methods for absolute strain values was low (Intraclass Correlation Coefficient = 0.373). Conclusions: Despite large intersoftware variability of FT-CMR derived strain values, all four software methods distinguished overt ARVD/C patients from control subjects by both global and subtricuspid strain values. In the subtricuspid region, one software package distinguished preclinical from control subjects, suggesting the potential to identify early ARVD/C prior to overt disease expression

Feature tracking CMR reveals abnormal strain in preclinical arrhythmogenic right ventricular dysplasia/ cardiomyopathy : A multisoftware feasibility and clinical implementation study

Background: Regional right ventricular (RV) dysfunction is the hallmark of Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy (ARVD/C), but is currently only qualitatively evaluated in the clinical setting. Feature Tracking Cardiovascular Magnetic Resonance (FT-CMR) is a novel quantitative method that uses cine CMR to calculate strain values. However, most prior FT-CMR studies in ARVD/C have focused on global RV strain using different software methods, complicating implementation of FT-CMR in clinical practice. We aimed to assess the clinical value of global and regional strain using FT-CMR in ARVD/C and to determine differences between commercially available FT-CMR software packages. Methods: We analyzed cine CMR images of 110 subjects (39 overt ARVD/C [mutation+/phenotype+], 40 preclinical ARVD/C [mutation+/phenotype-] and 31 control) for global and regional (subtricuspid, anterior, apical) RV strain in the horizontal longitudinal axis using four FT-CMR software methods (Multimodality Tissue Tracking, TomTec, Medis and Circle Cardiovascular Imaging). Intersoftware agreement was assessed using Bland Altman plots. Results: For global strain, all methods showed reduced strain in overt ARVD/C patients compared to control subjects (p 0.275). For regional strain, overt ARVD/C patients showed reduced strain compared to control subjects in all segments which reached statistical significance in the subtricuspid region for all software methods (p < 0.037), in the anterior wall for two methods (p < 0.005) and in the apex for one method (p = 0.012). Preclinical subjects showed abnormal subtricuspid strain compared to control subjects using one of the software methods (p = 0.009). Agreement between software methods for absolute strain values was low (Intraclass Correlation Coefficient = 0.373). Conclusions: Despite large intersoftware variability of FT-CMR derived strain values, all four software methods distinguished overt ARVD/C patients from control subjects by both global and subtricuspid strain values. In the subtricuspid region, one software package distinguished preclinical from control subjects, suggesting the potential to identify early ARVD/C prior to overt disease expression