ABSTRACT
BACKGROUND: Racial minorities are disproportionately affected by stroke, with Black patients experiencing worse poststroke outcomes than White patients. A modifiable aspect of acute stroke care delivery not yet examined is whether disparities in stroke outcomes are related to hospital nurse staffing levels. OBJECTIVES: The aim of this study was to determine whether 7- and 30-day readmission disparities between Black and White patients were associated with nurse staffing levels. METHODS: We conducted a secondary analysis of 542 hospitals in four states. Risk-adjusted, logistic regression models were used to determine the association of nurse staffing with 7- and 30-day all-cause readmissions for Black and White ischemic stroke patients. RESULTS: Our sample included 98,150 ischemic stroke patients (87% White, 13% Black). Thirty-day readmission rates were 10.4% (12.7% for Black patients, 10.0% for White patients). In models accounting for hospital and patient characteristics, the odds of 30-day readmissions were higher for Black than White patients. A significant interaction was found between race and nurse staffing, with Black patients experiencing higher odds of 30- and 7-day readmissions for each additional patient cared for by a nurse. In the best-staffed hospitals (less than three patients per nurse), Black and White stroke patients' disparities were no longer significant. DISCUSSION: Disparities in readmissions between Black and White stroke patients may be linked to the level of nurse staffing in the hospitals where they receive care. Tailoring nurse staffing levels to meet the needs of Black ischemic stroke patients represents a promising intervention to address systemic inequities linked to readmission disparities among minority stroke patients.
Subject(s)
Patient Readmission/statistics & numerical data , Personnel Staffing and Scheduling/standards , Race Factors , Stroke/ethnology , Aged , California/epidemiology , California/ethnology , Cross-Sectional Studies , Female , Florida/epidemiology , Florida/ethnology , Hospitals/standards , Hospitals/statistics & numerical data , Hospitals/trends , Humans , Male , Middle Aged , New Jersey/epidemiology , New Jersey/ethnology , Patient Readmission/trends , Pennsylvania/epidemiology , Pennsylvania/ethnology , Personnel Staffing and Scheduling/statistics & numerical data , Racial Groups/ethnology , Racial Groups/statistics & numerical data , Stroke/epidemiologySubject(s)
Neonatal Abstinence Syndrome/genetics , Racial Groups/ethnology , Analgesics, Opioid/adverse effects , Analgesics, Opioid/antagonists & inhibitors , Buprenorphine/therapeutic use , Humans , Infant, Newborn , Narcotic Antagonists , Neonatal Abstinence Syndrome/ethnology , Racial Groups/statistics & numerical dataSubject(s)
Diabetic Nephropathies , Ethnicity , Healthcare Disparities , Racial Groups , Humans , Diabetic Nephropathies/epidemiology , Ethnicity/legislation & jurisprudence , Ethnicity/statistics & numerical data , Health Services Accessibility/legislation & jurisprudence , Health Services Accessibility/statistics & numerical data , Healthcare Disparities/legislation & jurisprudence , Healthcare Disparities/statistics & numerical data , Racial Groups/legislation & jurisprudence , Racial Groups/statistics & numerical dataSubject(s)
Drug Overdose , Health Personnel , Health Status Disparities , Healthcare Disparities , Racial Groups , Humans , Drug Overdose/epidemiology , Drug Overdose/ethnology , Drug Overdose/mortality , Drug Overdose/therapy , Ethnicity , Healthcare Disparities/statistics & numerical data , Hispanic or Latino , Racial Groups/statistics & numerical data , United States/epidemiology , Health Personnel/statistics & numerical data , Delivery of Health Care/ethnology , Delivery of Health Care/statistics & numerical dataSubject(s)
Drug Overdose , Health Status Disparities , Healthcare Disparities , Humans , Drug Overdose/epidemiology , Drug Overdose/ethnology , Drug Overdose/mortality , Ethnicity/statistics & numerical data , Hispanic or Latino , United States/epidemiology , Racial Groups/statistics & numerical data , Healthcare Disparities/statistics & numerical data , Delivery of Health Care/ethnology , Delivery of Health Care/statistics & numerical data , Health Personnel/statistics & numerical dataABSTRACT
Importance: Integrase strand transfer inhibitor (INSTI)-containing antiretroviral therapy (ART) is currently the guideline-recommended first-line treatment for HIV. Delayed prescription of INSTI-containing ART may amplify differences and inequities in health outcomes. Objectives: To estimate racial and ethnic differences in the prescription of INSTI-containing ART among adults newly entering HIV care in the US and to examine variation in these differences over time in relation to changes in treatment guidelines. Design, Setting, and Participants: Retrospective observational study of 42â¯841 adults entering HIV care from October 12, 2007, when the first INSTI was approved by the US Food and Drug Administration, to April 30, 2019, at more than 200 clinical sites contributing to the North American AIDS Cohort Collaboration on Research and Design. Exposures: Combined race and ethnicity as reported in patient medical records. Main Outcomes and Measures: Probability of initial prescription of ART within 1 month of care entry and probability of being prescribed INSTI-containing ART. Differences among non-Hispanic Black and Hispanic patients compared with non-Hispanic White patients were estimated by calendar year and time period in relation to changes in national guidelines on the timing of treatment initiation and recommended initial treatment regimens. Results: Of 41â¯263 patients with information on race and ethnicity, 19â¯378 (47%) as non-Hispanic Black, 6798 (16%) identified as Hispanic, and 13â¯539 (33%) as non-Hispanic White; 36â¯394 patients (85%) were male, and the median age was 42 years (IQR, 30 to 51). From 2007-2015, when guidelines recommended treatment initiation based on CD4+ cell count, the probability of ART initiation within 1 month of care entry was 45% among White patients, 45% among Black patients (difference, 0% [95% CI, -1% to 1%]), and 51% among Hispanic patients (difference, 5% [95% CI, 4% to 7%]). From 2016-2019, when guidelines strongly recommended treating all patients regardless of CD4+ cell count, this probability increased to 66% among White patients, 68% among Black patients (difference, 2% [95% CI, -1% to 5%]), and 71% among Hispanic patients (difference, 5% [95% CI, 1% to 9%]). INSTIs were prescribed to 22% of White patients and only 17% of Black patients (difference, -5% [95% CI, -7% to -4%]) and 17% of Hispanic patients (difference, -5% [95% CI, -7% to -3%]) from 2009-2014, when INSTIs were approved as initial therapy but were not yet guideline recommended. Significant differences persisted for Black patients (difference, -6% [95% CI, -8% to -4%]) but not for Hispanic patients (difference, -1% [95% CI, -4% to 2%]) compared with White patients from 2014-2017, when INSTI-containing ART was a guideline-recommended option for initial therapy; differences by race and ethnicity were not statistically significant from 2017-2019, when INSTI-containing ART was the single recommended initial therapy for most people with HIV. Conclusions and Relevance: Among adults entering HIV care within a large US research consortium from 2007-2019, the 1-month probability of ART prescription was not significantly different across most races and ethnicities, although Black and Hispanic patients were significantly less likely than White patients to receive INSTI-containing ART in earlier time periods but not after INSTIs became guideline-recommended initial therapy for most people with HIV. Additional research is needed to understand the underlying racial and ethnic differences and whether the differences in prescribing were associated with clinical outcomes.
Subject(s)
Anti-Retroviral Agents , Drug Prescriptions , HIV Infections , Practice Patterns, Physicians' , Adult , Female , Humans , Male , Ethnicity/statistics & numerical data , Hispanic or Latino , HIV Infections/complications , HIV Infections/drug therapy , HIV Infections/ethnology , Racial Groups/statistics & numerical data , Retrospective Studies , United States/epidemiology , Practice Patterns, Physicians'/statistics & numerical data , Anti-Retroviral Agents/administration & dosage , Anti-Retroviral Agents/therapeutic use , Drug Prescriptions/statistics & numerical dataABSTRACT
This study assesses racial and ethnic differences in overall burden of firearm-related mortality and in change in firearm-related mortality among youths from 1999 to 2020.
Subject(s)
Firearms , Wounds, Gunshot , Adolescent , Child , Humans , Ethnicity/statistics & numerical data , Firearms/statistics & numerical data , Homicide/ethnology , Homicide/statistics & numerical data , Suicide/ethnology , Suicide/statistics & numerical data , United States/epidemiology , Wounds, Gunshot/epidemiology , Wounds, Gunshot/ethnology , Wounds, Gunshot/mortality , Racial Groups/statistics & numerical dataABSTRACT
INTRODUCTION: Physical activity before COVID-19 infection is associated with less severe outcomes. The study determined whether a doseâresponse association was observed and whether the associations were consistent across demographic subgroups and chronic conditions. METHODS: A retrospective cohort study of Kaiser Permanente Southern California adult patients who had a positive COVID-19 diagnosis between January 1, 2020 and May 31, 2021 was created. The exposure was the median of at least 3 physical activity self-reports before diagnosis. Patients were categorized as follows: always inactive, all assessments at 10 minutes/week or less; mostly inactive, median of 0-60 minutes per week; some activity, median of 60-150 minutes per week; consistently active, median>150 minutes per week; and always active, all assessments>150 minutes per week. Outcomes were hospitalization, deterioration event, or death 90 days after a COVID-19 diagnosis. Data were analyzed in 2022. RESULTS: Of 194,191 adults with COVID-19 infection, 6.3% were hospitalized, 3.1% experienced a deterioration event, and 2.8% died within 90 days. Doseâresponse effects were strong; for example, patients in the some activity category had higher odds of hospitalization (OR=1.43; 95% CI=1.26, 1.63), deterioration (OR=1.83; 95% CI=1.49, 2.25), and death (OR=1.92; 95% CI=1.48, 2.49) than those in the always active category. Results were generally consistent across sex, race and ethnicity, age, and BMI categories and for patients with cardiovascular disease or hypertension. CONCLUSIONS: There were protective associations of physical activity for adverse COVID-19 outcomes across demographic and clinical characteristics. Public health leaders should add physical activity to pandemic control strategies.
Subject(s)
COVID-19 , Exercise , Exercise/physiology , COVID-19/classification , COVID-19/diagnosis , COVID-19/mortality , COVID-19/physiopathology , Humans , Male , Female , Middle Aged , Aged , Hospitalization/statistics & numerical data , California , Retrospective Studies , Disease Progression , Sedentary Behavior , Time Factors , Racial Groups/statistics & numerical data , Ethnicity/statistics & numerical data , Body Mass Index , Cardiovascular Diseases/epidemiology , Hypertension/epidemiologySubject(s)
Ethnicity , Internship and Residency , Personnel Selection , Racial Groups , Humans , Ethnicity/statistics & numerical data , Racial Groups/statistics & numerical data , United States/epidemiology , Internship and Residency/statistics & numerical data , Personnel Selection/statistics & numerical dataSubject(s)
Ethnicity , Internship and Residency , Personnel Selection , Racial Groups , Humans , Ethnicity/statistics & numerical data , Racial Groups/statistics & numerical data , United States/epidemiology , Internship and Residency/statistics & numerical data , Personnel Selection/statistics & numerical dataABSTRACT
BACKGROUND: Risk assessment for breast cancer-related lymphedema has emphasized upper-limb symptoms and treatment-related risk factors. This article examined breast cancer-related lymphedema after surgery, overall and in association with broader demographic and clinical features. METHODS: The Carolina Breast Cancer Study phase 3 followed participants for breast cancer-related lymphedema from baseline (on average, 5 months after breast cancer diagnosis) to 7 years after diagnosis. Among 2645 participants, 552 self-reported lymphedema cases were identified. Time-to-lymphedema curves and inverse probability weighted conditional Cox proportional hazards model were used to evaluate whether demographics and clinical features were associated with breast cancer-related lymphedema. RESULTS: Point prevalence of breast cancer-related lymphedema was 6.8% at baseline, and 19.9% and 23.8% at 2 and 7 years after diagnosis, respectively. Most cases had lymphedema in the arm (88%-93%), whereas 14% to 27% presented in the trunk and/or breast. Beginning approximately 10 months after diagnosis, younger Black women had the highest risk of breast cancer-related lymphedema and older non-Black women had the lowest risk. Positive lymph node status, larger tumor size (>5 cm), and estrogen receptor-negative breast cancer, as well as established risk factors such as higher body mass index, removal of more than five lymph nodes, mastectomy, chemotherapy, and radiation therapy, were significantly associated with increased hazard (1.5- to 3.5-fold) of lymphedema. CONCLUSIONS: Findings highlight that hazard of breast cancer-related lymphedema differs by demographic characteristics and clinical features. These factors could be used to identify those at greatest need of lymphedema prevention and early intervention. LAY SUMMARY: In this study, the aim was to investigate breast cancer-related lymphedema (BCRL) burden. This study found that risk of BCRL differs by race, age, and other characteristics.
Subject(s)
Breast Cancer Lymphedema , Breast Neoplasms , Cancer Survivors , Female , Humans , Breast Cancer Lymphedema/epidemiology , Breast Cancer Lymphedema/ethnology , Breast Cancer Lymphedema/etiology , Breast Neoplasms/complications , Breast Neoplasms/ethnology , Breast Neoplasms/surgery , Cancer Survivors/statistics & numerical data , Lymph Node Excision/adverse effects , Mastectomy/adverse effects , Risk Factors , Racial Groups/statistics & numerical data , Age DistributionABSTRACT
Disparities persist in pediatric sports medicine along the lines of race, ethnicity, insurance status, and other demographic factors. In the context of knee injuries such as anterior cruciate ligament (ACL) ruptures, meniscus tears, and tibial spine fractures, these inequalities affect evaluation, treatment, and outcomes. The long-term effects can be far-reaching, including sports and physical activity participation, comorbid chronic disease, and socio-emotional health. Further research is needed to more concretely identify the etiology of these disparities so that effective, equitable care is provided for all children.
Subject(s)
Healthcare Disparities , Insurance, Health , Knee Injuries , Racial Groups , Child , Healthcare Disparities/ethnology , Healthcare Disparities/statistics & numerical data , Humans , Insurance, Health/statistics & numerical data , Knee Injuries/ethnology , Knee Injuries/therapy , Racial Groups/statistics & numerical data , Socioeconomic FactorsABSTRACT
This Viewpoint discusses the importance of accurately categorizing and collecting race and ethnicity data, matching self-identity with race and ethnicity labels, in an effort to quantify the extent of health disparities.
Subject(s)
Biomedical Research , Ethnicity , Racial Groups , Biomedical Research/statistics & numerical data , Data Aggregation , Ethnicity/statistics & numerical data , Health Status Disparities , Humans , Racial Groups/statistics & numerical dataABSTRACT
Faculty hiring and retention determine the composition of the US academic workforce and directly shape educational outcomes1, careers2, the development and spread of ideas3 and research priorities4,5. However, hiring and retention are dynamic, reflecting societal and academic priorities, generational turnover and efforts to diversify the professoriate along gender6-8, racial9 and socioeconomic10 lines. A comprehensive study of the structure and dynamics of the US professoriate would elucidate the effects of these efforts and the processes that shape scholarship more broadly. Here we analyse the academic employment and doctoral education of tenure-track faculty at all PhD-granting US universities over the decade 2011-2020, quantifying stark inequalities in faculty production, prestige, retention and gender. Our analyses show universal inequalities in which a small minority of universities supply a large majority of faculty across fields, exacerbated by patterns of attrition and reflecting steep hierarchies of prestige. We identify markedly higher attrition rates among faculty trained outside the United States or employed by their doctoral university. Our results indicate that gains in women's representation over this decade result from demographic turnover and earlier changes made to hiring, and are unlikely to lead to long-term gender parity in most fields. These analyses quantify the dynamics of US faculty hiring and retention, and will support efforts to improve the organization, composition and scholarship of the US academic workforce.
Subject(s)
Faculty , Personnel Selection , Universities , Workforce , Education, Graduate/statistics & numerical data , Employment/statistics & numerical data , Faculty/statistics & numerical data , Female , Humans , Male , Personnel Selection/statistics & numerical data , Racial Groups/statistics & numerical data , Socioeconomic Factors , United States , Universities/statistics & numerical data , Women , Workforce/statistics & numerical dataABSTRACT
Importance: Novel therapies for type 2 diabetes can reduce the risk of cardiovascular disease and chronic kidney disease progression. The equitability of these agents' prescription across racial and ethnic groups has not been well-evaluated. Objective: To investigate differences in the prescription of sodium-glucose cotransporter-2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1 RA) among adult patients with type 2 diabetes by racial and ethnic groups. Design, Setting, and Participants: Cross-sectional analysis of data from the US Veterans Health Administration's Corporate Data Warehouse. The sample included adult patients with type 2 diabetes and at least 2 primary care clinic visits from January 1, 2019, to December 31, 2020. Exposures: Self-identified race and self-identified ethnicity. Main Outcomes and Measures: The primary outcomes were prevalent SGLT2i or GLP-1 RA prescription, defined as any active prescription during the study period. Results: Among 1â¯197â¯914 patients (mean age, 68 years; 96% men; 1% American Indian or Alaska Native, 2% Asian, Native Hawaiian, or Other Pacific Islander, 20% Black or African American, 71% White, and 7% of Hispanic or Latino ethnicity), 10.7% and 7.7% were prescribed an SGLT2i or a GLP-1 RA, respectively. Prescription rates for SGLT2i and GLP-1 RA, respectively, were 11% and 8.4% among American Indian or Alaska Native patients; 11.8% and 8% among Asian, Native Hawaiian, or Other Pacific Islander patients; 8.8% and 6.1% among Black or African American patients; and 11.3% and 8.2% among White patients, respectively. Prescription rates for SGLT2i and GLP-1 RA, respectively, were 11% and 7.1% among Hispanic or Latino patients and 10.7% and 7.8% among non-Hispanic or Latino patients. After accounting for patient- and system-level factors, all racial groups had significantly lower odds of SGLT2i and GLP-1 RA prescription compared with White patients. Black patients had the lowest odds of prescription compared with White patients (adjusted odds ratio, 0.72 [95% CI, 0.71-0.74] for SGLT2i and 0.64 [95% CI, 0.63-0.66] for GLP-1 RA). Patients of Hispanic or Latino ethnicity had significantly lower odds of prescription (0.90 [95% CI, 0.88-0.93] for SGLT2i and 0.88 [95% CI, 0.85-0.91] for GLP-1 RA) compared with non-Hispanic or Latino patients. Conclusions and Relevance: Among patients with type 2 diabetes in the Veterans Health Administration system during 2019 and 2020, prescription rates of SGLT2i and GLP-1 RA medications were low, and individuals of several different racial groups and those of Hispanic ethnicity had statistically significantly lower odds of receiving prescriptions for these medications compared with individuals of White race and non-Hispanic ethnicity. Further research is needed to understand the mechanisms underlying these differences in rates of prescribing and the potential relationship with differences in clinical outcomes.