Racial disparities in parturient urine drug screening at a Texas level IV maternal care center: a single-center retrospective study.

OBJECTIVE: We hypothesized that Black or African American (hereby referred to as Black) and Hispanic patients would have higher rates of urine drug screening (UDS) during pregnancy compared to White or Caucasian (herby referred to as White) patients at our hospital. METHODS: Patients who delivered at our hospital between 1 December 2020 and 31 May 2021 and between 1 December 2022 and 31 May 2023, and who were Black, Hispanic, or White were included in the final analysis. We performed separate bivariate analyses comparing White patients to either Black patients or Hispanic patients. We performed a multivariate logistic regression including variables of interest designed to predict risk factors for UDS during pregnancy. RESULTS: 457, 813, and 1252 patients identified as Black, Hispanic, and White, respectively. 187 (40.9%) Black patients had UDS during pregnancy compared to 265 (21.2%) White patients (P < 0.001). 258 (31.7%) Hispanic patients had UDS during pregnancy, which was also statistically different compared to White patients (P < 0.001). A multivariate logistic regression found that identification as Black was independently associated with UDS during pregnancy (adjusted odds ratio [aOR] 1.871; 95% CI 1.382, 2.534; P < 0.001); identification as Hispanic was not independently associated (aOR 1.177; 95% CI 0.900, 1.538; P = 0.234); and that patients who delivered after the COVID-19 pandemic were less likely to receive UDS (aOR 0.783; 95% CI 0.621, 0.987; P = 0.039). CONCLUSION: Identification as Black and delivery during the COVID-19 pandemic were independently associated with increased adjusted odds of UDS during pregnancy at our hospital. OBJECTIF: Nous avons émis l'hypothèse que le taux de dépistage toxicologique urinaire (DTU) pendant la grossesse serait plus élevé chez les patientes noires ou afro-américaines (ci-après désignées comme patientes noires) et les patientes hispaniques que chez les patientes blanches ou caucasiennes (ci-après désignées comme patientes blanches) dans notre hôpital. MéTHODES: Les patientes noires, hispaniques ou blanches qui ont accouché dans notre hôpital entre le 1 décembre 2020 et le 31 mai 2021 ou entre le 1 décembre 2022 et le 31 mai 2023 ont été incluses dans l'analyse finale. Nous avons réalisé des analyses bivariées distinctes comparant les patientes blanches aux patientes noires ou hispaniques. Nous avons utilisé la régression logistique multivariée avec des variables d'intérêt pour prédire les facteurs de risque du DTU pendant la grossesse. RéSULTATS: Nous avons répertorié 457, 813 et 1252 patientes noires, hispaniques et blanches, respectivement. Parmi elles, 187 patientes noires et 265 patientes blanches ont subi un DTU pendant la grossesse (40,9 % p r/à 21,2 %; P < 0,001). Quant aux patientes hispaniques, 258 ont subi un DTU pendant la grossesse, pour un taux de 31,7 %, ce qui illustre aussi une différence statistiquement significative par comparaison avec les patientes blanches (P < 0,001). Une analyse de régression logistique multivariée a révélé que l'identification comme patiente noire était associée de manière indépendante au DTU pendant la grossesse (rapport de cotes ajusté [RCa] : 1,871; IC à 95 % : 1,382-2,534; P < 0,001); que l'identification comme patiente hispanique n'était pas associée de manière indépendante au DTU (RCa : 1,177; IC à 95 % : 0,900-1,538; P = 0,234); et que les patientes qui ont accouché après la pandémie de COVID-19 étaient moins susceptibles de subir un DTU (RCa : 0,783; IC à 95 % : 0,621-0,987; P = 0,039). CONCLUSION: Dans notre hôpital, l'identification comme patiente noire et l'accouchement pendant la pandémie de COVID-19 ont été associés de manière indépendante à l'augmentation du risque ajusté de DTU pendant la grossesse.

Designing an Experimental Platform to Assess Ergonomic Factors and Distraction Index in Law Enforcement Vehicles during Mission-Based Routes.

Mission-based routes for various occupations play a crucial role in occupational driver safety, with accident causes varying according to specific mission requirements. This study focuses on the development of a system to address driver distraction among law enforcement officers by optimizing the Driver-Vehicle Interface (DVI). Poorly designed DVIs in law enforcement vehicles, often fitted with aftermarket police equipment, can lead to perceptual-motor problems such as obstructed vision, difficulty reaching controls, and operational errors, resulting in driver distraction. To mitigate these issues, we developed a driving simulation platform specifically for law enforcement vehicles. The development process involved the selection and placement of sensors to monitor driver behavior and interaction with equipment. Key criteria for sensor selection included accuracy, reliability, and the ability to integrate seamlessly with existing vehicle systems. Sensor positions were strategically located based on previous ergonomic studies and digital human modeling to ensure comprehensive monitoring without obstructing the driver's field of view or access to controls. Our system incorporates sensors positioned on the dashboard, steering wheel, and critical control interfaces, providing real-time data on driver interactions with the vehicle equipment. A supervised machine learning-based prediction model was devised to evaluate the driver's level of distraction. The configured placement and integration of sensors should be further studied to ensure the updated DVI reduces driver distraction and supports safer mission-based driving operations.

The IMPACT Score: Does Sex Matter?

OBJECTIVE: The Index for Mortality Prediction After Cardiac Transplantation (IMPACT) score is a quantitative risk index that predicts 1-year mortality risk, derived from United Network for Organ Sharing data in which women are underrepresented. The validity of the IMPACT score in 1-year mortality risk after OHT in women is unknown. The objective of this study was to assess differences in score performance by sex. We hypothesized that the IMPACT score is a poor predictor of 1-year mortality risk after orthotopic heart transplantation (OHT) in women. DESIGN: In this external validation study, demographic and clinical characteristics were compared by sex. The IMPACT score was calculated and regression models were constructed for the entire sample and stratified by sex. Model discrimination was assessed with the area under the receiver operating characteristic curve, and calibration was assessed graphically. PARTICIPANTS: Patients 18 years and older who were first-time single OHT recipients from the International Society for Heart and Lung Transplantation registry from 2009 to 2018. MEASUREMENTS AND MAIN RESULTS: For 1-year mortality, the area under the receiver operating characteristic curve (95% confidence interval) for the full sample was 0.59 (0.57-0.60): 0.58 (0.55-0.61) for women and 0.59 (0.58-0.61) for men. The 1-year mortality was 9.4% in the overall cohort, with no difference in mortality by sex (9.0% v 9.6% women v men, p = 0.22). CONCLUSIONS: The IMPACT score exhibited poor discrimination and calibration in the International Society for Heart and Lung Transplantation 2009-2019 cohort, overall and by sex. There was no difference in 1-year mortality between women and men.

Improved outcomes for spinal versus general anesthesia for hip fracture surgery: a retrospective cohort study of the National Surgical Quality Improvement Program.

BACKGROUND: There is a lack of consensus in the literature as to whether anesthetic modality influences perioperative complications in hip fracture surgery. The aim of the present study was to assess the effect of spinal anesthesia compared with general anesthesia on postoperative morbidity and mortality in patients who underwent hip fracture surgery using data from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP). METHODS: We used the ACS NSQIP to identify patients aged 50 and older who received either spinal or general anesthesia for hip fracture surgery from 2016 to 2019. Propensity-score matching was performed to control for clinically relevant covariates. The primary outcome of interest was the combined incidence of stroke, myocardial infarction (MI) or death within 30 days. Secondary outcomes included 30-day mortality, hospital length of stay and operative time. RESULTS: Among the 40 527 patients aged 50 and over who received either spinal or general anesthesia for hip fracture surgery from 2016 to 2019, 7358 spinal anesthesia cases were matched to general anesthesia cases. General anesthesia was associated with a higher incidence of combined 30-day stroke, MI or death compared with spinal anesthesia (OR 1.219 (95% CI 1.076 to 1.381); p=0.002). General anesthesia was also associated with a higher frequency of 30-day mortality (OR 1.276 (95% CI 1.099 to 1.481); p=0.001) and longer operative time (64.73 vs 60.28 min; p<0.001). Spinal anesthesia had a longer average hospital length of stay (6.29 vs 5.73 days; p=0.001). CONCLUSION: Our propensity-matched analysis suggests that spinal anesthesia as compared with general anesthesia is associated with lower postoperative morbidity and mortality in patients undergoing hip fracture surgery.

Racial and Ethnic Disparities in Delivery In-Hospital Mortality or Maternal End-Organ Injury: A Multistate Analysis, 2007-2020.

Background: In the United States, Black maternal mortality is 2-4 × higher than that of White maternal mortality, with differences also present in severe maternal morbidity and other measures. However, limited research has comprehensively studied multilevel social determinants of health, and their confounding and effect modification on obstetrical outcomes. Materials and Methods: We performed a retrospective multistate analysis of adult inpatient delivery hospitalizations (Florida, Kentucky, Maryland, New Jersey, New York, North Carolina, and Washington) between 2007 and 2020. Multilevel multivariable models were used to test the confounder-adjusted association for race/ethnicity and the binary outcomes (1) in-hospital mortality or maternal end-organ injury and (2) in-hospital mortality only. Stratified analyses were performed to test effect modification. Results: The confounder-adjusted odds ratio showed that Black (1.33, 95% confidence interval [CI]: 1.30-1.36) and Hispanic (1.14, 95% CI: 1.11-1.18) as compared with White patients were more likely to die in-hospital or experience maternal end-organ injury. For Black and Hispanic patients, stratified analysis showed that findings remained significant in almost all homogeneous strata. After statistical adjustment, Black as compared with White patients were more likely to die in-hospital (1.49, 95% CI: 1.21-1.82). Conclusions: Black and Hispanic patients had higher adjusted odds of in-patient mortality and end-organ damage after birth than White patients. Race and ethnicity serve as strong predictors of health care inequality, and differences in outcomes may reflect broader structural racism and individual implicit bias. Proposed solutions require immense and multifaceted active efforts to restructure how obstetrical care is provided on the societal, hospital, and patient level.

Review of racial/ethnic disparities in obstetrics-related anesthesia administration and pain management.

While racial/ethnic disparities in maternal outcomes including mortality and severe maternal morbidity are well documented, there is limited information on disparities in obstetric anesthesia practices. This paper reviews literature on racial/ethnic disparities in peripartum anesthesia administration and postpartum pain management. Current literature demonstrates racial/ethnic disparities in several aspects of obstetric anesthesia care including neuraxial administration for vaginal labor pain, neuraxial versus general anesthesia for cesarean delivery, post neuraxial anesthesia complications, postpartum pain management and postdural puncture headache treatment practices. However, many studies are dated or have limited data from single institutions or states. More research on nation-wide racial/ethnic disparities in obstetric anesthesia is needed to understand its broader practice and management in the USA.

While racial/ethnic disparities in maternal mortality and morbidity are well documented, there is limited information on disparities in anesthesia practices for pregnant women. Consequently, this paper reviews literature on racial/ethnic disparities in maternal pain management during and after delivery. Current literature demonstrates racial/ethnic disparities in several aspects of obstetric pain management care including epidural use for vaginal labor pain, regional versus general anesthesia for cesarean delivery, epidural anesthesia complications, pain management after delivery and postural puncture headache treatment practices. However, many available studies are dated or limited to single institutions or states. Therefore, more research on nation-wide racial/ethnic disparities in obstetric pain management is needed to understand its broader practice and management in the USA.

Patient- and Hospital- Level Disparities in Severe Maternal Morbidity: a Retrospective Multistate Analysis, 2015-2020.

The rate of severe maternal morbidity (SMM) in the United States (US) rose roughly 9% among all insured racial/ethnic groups between 2018 and 2020, disproportionately affecting racial and ethnic minority populations. Limited research on hospital-level factors and SMM found that even after adjusting for patient-level factors, women of all races delivering in high Black-serving delivery units had higher odds of SMM. Our retrospective cohort study augments the current understanding of multi-level racial/ethnic disparities in SMM by analyzing patient- and hospital- level factors using multistate data from 2015 to 2020. Because rises in SMM have been driven in part by an increase in blood transfusions, multivariable logistic regression models were employed to estimate the impact of patient- and hospital-level factors on the adjusted odds of experiencing any SMM, with and without blood transfusions, as well as blood transfusions alone. Our cohort consisted of 3,497,233 deliveries: 56,885 (1.63%) with any SMM, 16,070 (0.46%) with SMM excluding blood transfusion, and 45,468 (1.30%) with blood transfusions alone. We found that Black race, Hispanic ethnicity, and delivering at Black-serving delivery-units, both independently and interactively, increase the odds of any SMM with or without blood transfusions. Our findings illustrate the persistence of structural- and individual- level racial and ethnic disparities in maternal outcomes over time and emphasize the need for multi-level public policies to address racial/ethnic disparities in maternal healthcare.

Antiemetic Administration and Its Association with Race: A Retrospective Cohort Study.

BACKGROUND: Anesthesiologists' contribution to perioperative healthcare disparities remains unclear because patient and surgeon preferences can influence care choices. Postoperative nausea and vomiting is a patient- centered outcome measure and a main driver of unplanned admissions. Antiemetic administration is under the sole domain of anesthesiologists. In a U.S. sample, Medicaid insured versus commercially insured patients and those with lower versus higher median income had reduced antiemetic administration, but not all risk factors were controlled for. This study examined whether a patient's race is associated with perioperative antiemetic administration and hypothesized that Black versus White race is associated with reduced receipt of antiemetics. METHODS: An analysis was performed of 2004 to 2018 Multicenter Perioperative Outcomes Group data. The primary outcome of interest was administration of either ondansetron or dexamethasone; secondary outcomes were administration of each drug individually or both drugs together. The confounder-adjusted analysis included relevant patient demographics (Apfel postoperative nausea and vomiting risk factors: sex, smoking history, postoperative nausea and vomiting or motion sickness history, and postoperative opioid use; as well as age) and included institutions as random effects. RESULTS: The Multicenter Perioperative Outcomes Group data contained 5.1 million anesthetic cases from 39 institutions located in the United States and The Netherlands. Multivariable regression demonstrates that Black patients were less likely to receive antiemetic administration with either ondansetron or dexamethasone than White patients (290,208 of 496,456 [58.5%] vs. 2.24 million of 3.49 million [64.1%]; adjusted odds ratio, 0.82; 95% CI, 0.81 to 0.82; P < 0.001). Black as compared to White patients were less likely to receive any dexamethasone (140,642 of 496,456 [28.3%] vs. 1.29 million of 3.49 million [37.0%]; adjusted odds ratio, 0.78; 95% CI, 0.77 to 0.78; P < 0.001), any ondansetron (262,086 of 496,456 [52.8%] vs. 1.96 million of 3.49 million [56.1%]; adjusted odds ratio, 0.84; 95% CI, 0.84 to 0.85; P < 0.001), and dexamethasone and ondansetron together (112,520 of 496,456 [22.7%] vs. 1.0 million of 3.49 million [28.9%]; adjusted odds ratio, 0.78; 95% CI, 0.77 to 0.79; P < 0.001). CONCLUSIONS: In a perioperative registry data set, Black versus White patient race was associated with less antiemetic administration, after controlling for all accepted postoperative nausea and vomiting risk factors.

The association of race and ethnicity on obstetric patients' COVID-19 outcomes: A summary of current literature.

Amidst the ongoing coronavirus disease 2019 (COVID-19) pandemic, evidence suggests racial and ethnic disparities in COVID-19-related outcomes. Given these disparities, it is important to understand how such patterns may translate to high-risk cohorts, including obstetric patients. A PubMed search was performed to identify studies assessing pregnancy, neonatal, and other health-related complications by race or ethnicity in obstetric patients with COVID-19 infection. Forty articles were included in our analysis based on novelty, relevance, and redundancy. These articles revealed that Black and Hispanic obstetric patients present an increased risk for SARS-CoV-2 infection and maternal mortality; racial and ethnic minority patients, particularly those of Black and Asian backgrounds, are at increased risk for hospitalization and ICU admission; racial and ethnic minority groups, in particular Black patients, have an increased risk for mechanical ventilation; Black and Hispanic patients are more likely to experience dyspnea; Hispanic patients showed higher rates of pneumonia; and Black patients present an increased risk of acute respiratory distress syndrome (ARDS). There is conflicting literature on the relationship between race and ethnicity and various pregnancy and neonatal outcomes. Several factors may underly the racial and ethnic disparities observed in the obstetric population, including biological mechanisms and social determinants of health.

Social determinants of health: modeling and targeting patient propensity to attend pain clinic appointments.

Aim: We sought to investigate the impact of social determinants of health on pain clinic attendance. Materials & methods: Retrospective data were collected from the Pain Center at Montefiore Medical Center from 2016 to 2020 and analyzed with multivariable logistic regression. Results: African-Americans were less likely to attend appointments compared with White patients (odds ratio [OR]: 0.73; 95% CI: 0.70-0.77; p < 0.001). Males had decreased attendance compared with females (OR: 0.89; 95% CI: 0.87-0.92; p < 0.001). Compared with commercial, those with Medicaid (OR: 0.69; 95% CI: 0.66-0.72; p < 0.001) and Medicare (OR: 0.76; 95% CI: 0.73-0.80; p < 0.001) insurance had decreased attendance. Conclusion: Significant disparities exist in pain clinic attendance based upon social determinants of health including race, gender and insurance type.

We aimed to investigate social determinants of health, such as race and type of insurance, and their role in patients' attendance of pain clinic appointments. Data were collected over several years and statistical analysis was performed on over 145,000 patient encounters. It was found that patients with Medicaid and Medicare were less likely to attend appointments compared with patients with commercial insurance. Black or African­American patients were also less likely to attend compared with White patients. Spanish speaking patients were more likely to attend compared with English speaking patients, showing that previous interventions aimed at reducing the language barrier for Spanish speaking patients continue to be successful after many years. Overall, significant disparities exist in pain clinic attendance based upon social determinants of health. Further research is needed to investigate reasons and potential areas of interventions. Patients insured with Medicare and Medicaid may also have greater transportation issues, a potential focus for further studies and targeted interventions.