Hospital racial composition: a neglected factor in cardiac arrest survival disparities

A health equity monitoring framework based on process mining

In the United States, there is a proposal to link hospital Medicare payments with health equity measures, signaling a need to precisely measure equity in healthcare delivery. Despite significant research demonstrating disparities in health care outcomes and access, there is a noticeable gap in tools available to assess health equity across various health conditions and treatments. The available tools often focus on a single area of patient care, such as medication delivery, but fail to examine the entire health care process. The objective of this study is to propose a process mining framework to provide a comprehensive view of health equity. Using event logs which track all actions during patient care, this method allows us to look at disparities in single and multiple treatment steps, but also in the broader strategy of treatment delivery. We have applied this framework to the management of patients with sepsis in the Intensive Care Unit (ICU), focusing on sex and English language proficiency. We found no significant differences between treatments of male and female patients. However, for patients who don't speak English, there was a notable delay in starting their treatment, even though their illness was just as severe and subsequent treatments were similar. This framework subsumes existing individual approaches to measure health inequities and offers a comprehensive approach to pinpoint and delve into healthcare disparities, providing a valuable tool for research and policy-making aiming at more equitable healthcare.

Veterans Affairs Medical Center Racial and Ethnic Composition and Initiation of Anticoagulation for Atrial Fibrillation

Importance

Racial and ethnic disparities exist in anticoagulation therapy for atrial fibrillation (AF). Whether medical center racial and ethnic composition is associated with these disparities is unclear.

Objective

To determine whether medical center racial and ethnic composition is associated with overall anticoagulation and disparities in anticoagulation for AF.

Design, Setting, and Participants

Retrospective cohort study of Black, White, and Hispanic patients with incident AF from 2018 to 2021 at 140 Veterans Health Administration medical centers (VAMCs). Data were analyzed from March to November 2023.

Exposure

VAMC racial and ethnic composition, defined as the proportion of patients from minoritized racial and ethnic groups treated at a VAMC, categorized into quartiles. VAMCs in quartile 1 (Q1) had the lowest percentage of patients from minoritized groups (ie, the reference group).

Main Outcomes and Measures

The odds of initiating any anticoagulant, direct-acting oral anticoagulant (DOAC), or warfarin therapy within 90 days of an index AF diagnosis, adjusting for sociodemographics, medical comorbidities, and facility factors.

Results

The cohort comprised 89 791 patients with a mean (SD) age of 73.0 (10.1) years; 87 647 (97.6%) were male, 9063 (10.1%) were Black, 3355 (3.7%) were Hispanic, and 77 373 (86.2%) were White. Overall, 64 770 individuals (72.1%) initiated any anticoagulant, 60 362 (67.2%) initiated DOAC therapy, and 4408 (4.9%) initiated warfarin. Compared with White patients, Black and Hispanic patients had lower rates of any anticoagulant and DOAC therapy initiation but higher rates of warfarin initiation across all quartiles of VAMC racial and ethnic composition. Any anticoagulant therapy initiation was lower in Q4 than Q1 (69.8% vs 74.9%; adjusted odds ratio [aOR], 0.80; 95% CI, 0.69-0.92; P < .001). DOAC and warfarin initiation were also lower in Q4 than in Q1 (DOAC, 69.4% vs 65.3%; aOR, 0.85; 95% CI, 0.74-0.97; P < .001; warfarin, 5.4% vs 4.5%; aOR, 0.82; 95% CI, 0.67-1.00; P < .001). In adjusted models, patients in Q4 were significantly less likely to initiate any anticoagulant therapy than those in Q1 (aOR, 0.88; 95% CI, 0.78-0.99). Patients in Q3 (aOR, 0.75; 95% CI, 0.60-0.93) and Q4 (aOR, 0.69; 95% CI, 0.55-0.87) were significantly less likely to initiate warfarin therapy than those in Q1. There was no significant difference in the adjusted odds of initiating DOAC therapy across racial and ethnic composition quartiles. Although significant Black-White and Hispanic-White differences in initiation of any anticoagulant, DOAC, and warfarin therapy were observed, interactions between patient race and ethnicity and VAMC racial composition were not significant.

Conclusions and Relevance

In a national cohort of VA patients with AF, initiation of any anticoagulant and warfarin, but not DOAC therapy, was lower in VAMCs serving more minoritized patients.

Association between hospital racial composition and aortic valve replacement outcomes: A national inpatients sample database analysis

BACKGROUND

Racial and ethnic disparities exist in the outcomes following surgical aortic valve replacement (SAVR) and transcatheter aortic valve implantation (TAVI). However, it is unclear whether hospital racial composition contributes to these racial disparities.

METHODS

We analyzed the National Inpatient Sample (NIS) database from 2015 to 2019 to identify patients with aortic stenosis (AS) who received SAVR and TAVI. The Racial/Ethnic Diversity Index (RDI) was used to assess hospital racial composition as the proportion of nonwhite patients to total hospital admissions. Hospitals were categorized into RDI quintiles. Textbook outcome (TO) was defined as no in-hospital mortality, no postoperative complications and no prolonged length of stay (LOS). Multivariable mixed generalized linear models were conducted to assess the association between RDI and post-SAVR and post-TAVI outcomes. Moreover, quantile regression was used to assess the additional cost and length of stay associated with the RDI quintile.

RESULTS

The study included 82,502 SAVR or TAVI performed across 3285 hospitals, with 47.4% isolated SAVR and 52.5% isolated TAVI. After adjustment, quintiles 4 and 5 demonstrated significantly lower odds of TO than the lowest RDI quintile in both the SAVR cohort (quintile 4, 0.79 [95% CI, 0.73-0.85]; quintile 5, 0.79 [95% CI, 0.73-0.86]) and TAVI cohort (quintile 4, 0.88 [95% CI, 0.82-0.95]; quintile 5, 0.80 [95% CI, 0.74-0.86]). Despite non-observable differences in in-hospital mortality across all RDI quintiles, the rate of AKI and blood transfusion increased with increasing RDI for both cohorts. Further, Higher RDI quintiles were associated with increased costs and longer LOS. From 2015 to 2019, post-TAVI outcomes improved across all RDI quintiles.

CONCLUSIONS

Hospitals with a higher RDI experienced lower TO achievements, increased AKI, and blood transfusion, along with extended LOS and higher costs. Importantly, post-TAVI outcomes improved from 2015 to 2019 across all RDI groups.

The American Heart Association Emergency Cardiovascular Care 2030 Impact Goals and Call to Action to Improve Cardiac Arrest Outcomes: A Scientific Statement From the American Heart Association

Every 10 years, the American Heart Association (AHA) Emergency Cardiovascular Care Committee establishes goals to improve survival from cardiac arrest. These goals align with broader AHA Impact Goals and support the AHA's advocacy efforts and strategic investments in research, education, clinical care, and quality improvement programs. This scientific statement focuses on 2030 AHA emergency cardiovascular care priorities, with a specific focus on bystander cardiopulmonary resuscitation, early defibrillation, and neurologically intact survival. This scientific statement also includes aspirational goals, such as establishing cardiac arrest as a reportable disease and mandating reporting of standardized outcomes from different sources; advancing recognition of and knowledge about cardiac arrest; improving dispatch system response, availability, and access to resuscitation training in multiple settings and at multiple time points; improving availability, access, and affordability of defibrillators; providing a focus on early defibrillation, in-hospital programs, and establishing champions for debriefing and review of cardiac arrest events; and expanding measures to track outcomes beyond survival. The ability to track and report data from these broader aspirational targets will potentially require expansion of existing data sets, development of new data sets, and enhanced integration of technology to collect process and outcome data, as well as partnerships of the AHA with national, state, and local organizations. The COVID-19 (coronavirus disease 2019) pandemic, disparities in COVID-19 outcomes for historically excluded racial and ethnic groups, and the longstanding disparities in cardiac arrest treatment and outcomes for Black and Hispanic or Latino populations also contributed to an explicit focus and target on equity for the AHA Emergency Cardiovascular Care 2030 Impact Goals.

The effect of ethnicity and socioeconomic status on outcomes after resuscitated out-of-hospital cardiac arrest - Findings from a tertiary centre in South London

Background

Out-of-hospital cardiac arrest is a common cause of morbidity and mortality, and ethnic variation in outcomes is recognised. We investigated ethnic and socioeconomic differences in arrest circumstances, rates of coronary artery disease, treatment, and outcomes in resuscitated OOHCA.

Methods

Patients with resuscitated OOHCA of suspected cardiac aetiology were included in the King's Out-of-Hospital Cardiac Arrest Registry between 1-May-2012 and 31-December-2020.

Results

Of 526 patients (median age 62.0 years, IQR 21.1, 74.1% male), 414 patients (78.7%) were White, 35 (6.7%) were Asian, and 77 (14.6%) were Black. Black patients had more co-existent hypertension (p = 0.007) and cardiomyopathy (p = 0.003), but less prior coronary revascularisation (p = 0.026) compared with White/Asian patients. There were no ethnic differences in location, witnesses, or bystander CPR, but Black patients had more non-shockable rhythms (p < 0.001). Black patients received less immediate coronary angiography (p < 0.001) and percutaneous coronary intervention (p < 0.001) but had lower rates of CAD (p = 0.004) than White/Asian patients. All-cause mortality at 12 months was highest amongst Black patients, followed by Asian and then White patients (57.1% vs 48.6% vs 41.3%, p = 0.032). In Black patients, excess mortality was driven by higher rates of multi-organ dysfunction but lower cardiac death than White/Asian patients, with cardiac death highest amongst Asian patients (p = 0.009). Socioeconomic status had no effect on mortality, and in a multivariable logistic regression, age, location, witnesses, and Black compared to White ethnicity were independent predictors of mortality, whilst social deprivation was not.

Conclusion

In this single-centre study, Black patients had higher mortality after resuscitated OOHCA than White/Asian patients. This may be in part due to differing underlying aetiology rather than differences in arrest circumstances or social deprivation.

Race, racism, and antiracism in emergency medicine: A scoping review of the literature and research agenda for the future

OBJECTIVES

The objective was to conduct a scoping review of the literature and develop consensus-derived research priorities for future research inquiry in an effort to (1) identify and summarize existing research related to race, racism, and antiracism in emergency medicine (EM) and adjacent fields and (2) set the agenda for EM research in these topic areas.

METHODS

A scoping review of the literature using PubMed and EMBASE databases, as well as review of citations from included articles, formed the basis for discussions with community stakeholders, who in turn helped to inform and shape the discussion and recommendations of participants in the Society for Academic Emergency Medicine (SAEM) consensus conference. Through electronic surveys and two virtual meetings held in April 2021, consensus was reached on terminology, language, and priority research questions, which were rated on importance or impact (highest, medium, lower) and feasibility or ease of answering (easiest, moderate, difficult).

RESULTS

A total of 344 articles were identified through the literature search, of which 187 met inclusion criteria; an additional 34 were identified through citation review. Findings of racial inequities in EM and related fields were grouped in 28 topic areas, from which emerged 44 key research questions. A dearth of evidence for interventions to address manifestations of racism in EM was noted throughout.

CONCLUSIONS

Evidence of racism in EM emerged in nearly every facet of our literature. Key research priorities identified through consensus processes provide a roadmap for addressing and eliminating racism and other systems of oppression in EM.

Racial and Socioeconomic Disparities in Out-Of-Hospital Cardiac Arrest Outcomes: Artificial Intelligence-Augmented Propensity Score and Geospatial Cohort Analysis of 3,952 Patients

Introduction

Social disparities in out-of-hospital cardiac arrest (OHCA) outcomes are preventable, costly, and unjust. We sought to perform the first large artificial intelligence- (AI-) guided statistical and geographic information system (GIS) analysis of a multiyear and multisite cohort for OHCA outcomes (incidence and poor neurological disposition).

Method

We conducted a retrospective cohort analysis of a prospectively collected multicenter dataset of adult patients who sequentially presented to Houston metro area hospitals from 01/01/07-01/01/16. Then AI-based machine learning (backward propagation neural network) augmented multivariable regression and GIS heat mapping were performed.

Results

Of 3,952 OHCA patients across 38 hospitals, African Americans were the most likely to suffer OHCA despite representing a significantly lower percentage of the population (42.6 versus 22.8%; p < 0.001). Compared to Caucasians, they were significantly more likely to have poor neurological disposition (OR 2.21, 95%CI 1.25–3.92; p=0.006) and be discharged to a facility instead of home (OR 1.39, 95%CI 1.05–1.85; p=0.023). Compared to the safety net hospital system primarily serving poorer African Americans, the university hospital serving primarily higher income commercially and Medicare insured patients had the lowest odds of death (OR 0.45, p < 0.001). Each additional $10,000 above median household income was associated with a decrease in the total number of cardiac arrests per zip code by 2.86 (95%CI -4.26- -1.46; p < 0.001); zip codes with a median income above $54,600 versus the federal poverty level had 14.62 fewer arrests (p < 0.001). GIS maps showed convergence of the greater density of poor neurologic outcome cases and greater density of poorer African American residences.

Conclusion

This large, longitudinal AI-guided analysis statistically and geographically identifies racial and socioeconomic disparities in OHCA outcomes in a way that may allow targeted medical and public health coordinated efforts to improve clinical, cost, and social equity outcomes.

Racial Disparities in ICU Outcomes: A Systematic Review

OBJECTIVES

Racial disparities in the United States healthcare system are well described across a variety of clinical settings. The ICU is a clinical environment with a higher acuity and mortality rate, potentially compounding the impact of disparities on patients. We sought to systematically analyze the literature to assess the prevalence of racial disparities in the ICU.

DATA SOURCES

We conducted a comprehensive search of PubMed/MEDLINE, Scopus, CINAHL, and the Cochrane Library.

STUDY SELECTION

We identified articles that evaluated racial differences on outcomes among ICU patients in the United States. Two authors independently screened and selected articles for inclusion.

DATA EXTRACTION

We dual-extracted study characteristics and outcomes that assessed for disparities in care (e.g., in-hospital mortality, ICU length of stay). Studies were assessed for bias using the Newcastle-Ottawa Scale.

DATA SYNTHESIS

Of 1,325 articles screened, 25 articles were included (n = 751,796 patients). Studies demonstrated race-based differences in outcomes, including higher mortality rates for Black patients when compared with White patients. However, when controlling for confounding variables, such as severity of illness and hospital type, mortality differences based on race were no longer observed. Additionally, results revealed that Black patients experienced greater financial impacts during an ICU admission, were less likely to receive early tracheostomy, and were less likely to receive timely antibiotics than White patients. Many studies also observed differences in patients' end-of-life care, including lower rates on the quality of dying, less advanced care planning, and higher intensity of interventions at the end of life for Black patients.

CONCLUSIONS

This systematic review found significant differences in the care and outcomes among ICU patients of different races. Mortality differences were largely explained by accompanying demographic and patient factors, highlighting the effect of structural inequalities on racial differences in mortality in the ICU. This systematic review provides evidence that structural inequalities in care persist in the ICU, which contribute to racial disparities in care. Future research should evaluate interventions to address inequality in the ICU.

Racial and Ethnic Disparities in Management and Outcomes of Cardiac Arrest Complicating Acute Myocardial Infarction

Background The role of race and ethnicity in the outcomes of cardiac arrest (CA) complicating acute myocardial infarction (AMI) is incompletely understood. Methods and Results This was a retrospective cohort study of adult admissions with AMI-CA from the National Inpatient Sample (2012-2017). Self-reported race/ethnicity was classified as White, Black, and others (Hispanic, Asian or Pacific Islander, Native American, Other). Outcomes of interest included in-hospital mortality, coronary angiography, percutaneous coronary intervention, palliative care consultation, do-not-resuscitate status use, hospitalization costs, hospital length of stay, and discharge disposition. Of the 3.5 million admissions with AMI, CA was noted in 182 750 (5.2%), with White, Black, and other races/ethnicities constituting 74.8%, 10.7%, and 14.5%, respectively. Black patients admitted with AMI-CA were more likely to be female, with more comorbidities, higher rates of non-ST-segment-elevation myocardial infarction, and higher neurological and renal failure. Admissions of patients of Black and other races/ethnicities underwent coronary angiography (61.9% versus 70.2% versus 73.1%) and percutaneous coronary intervention (44.6% versus 53.0% versus 58.1%) less frequently compared to patients of white race (p<0.001). Admissions of patients with AMI-CA had significantly higher unadjusted mortality (47.4% and 47.4%) as compared with White patients admitted (40.9%). In adjusted analyses, Black race was associated with lower in-hospital mortality (odds ratio [OR], 0.95; 95% CI, 0.91-0.99; P=0.007) whereas other races had higher in-hospital mortality (OR, 1.11; 95% CI, 1.08-1.15; P<0.001) compared with White race. Admissions of Black patients with AMI-CA had longer length of hospital stay, higher rates of palliative care consultation, less frequent do-not-resuscitate status use, and fewer discharges to home (all P<0.001). Conclusions Racial and ethnic minorities received less frequent guideline-directed procedures and had higher in-hospital mortality and worse outcomes in AMI-CA.

Racial and ethnic disparities in coronary, vascular, structural, and congenital heart disease

Cardiovascular disease (CVD) remains the leading cause of death in the United States. However, percutaneous interventional cardiovascular therapies are often underutilized in Blacks, Hispanics, and women and may contribute to excess morbidity and mortality in these vulnerable populations. The Society for Cardiovascular Angiography and Interventions (SCAI) is committed to reducing racial, ethnic, and sex-based treatment disparities in interventional cardiology patients. Accordingly, each of the SCAI Clinical Interest Councils (coronary, peripheral, structural, and congenital heart disease [CHD]) participated in the development of this whitepaper addressing disparities in diagnosis, treatment, and outcomes in underserved populations. The councils were charged with summarizing the available data on prevalence, treatment, and outcomes and elucidating potential reasons for any disparities. Given the huge changes in racial and ethnic composition by age in the United States (Figure 1), it was difficult to determine disparities in rates of diagnosis and we expected to find some racial differences in prevalence of disease. For example, since the average age of patients undergoing transcatheter aortic valve replacement (TAVR) is 80 years, one may expect 80% of TAVR patients to be non-Hispanic White. Conversely, only 50% of congenital heart interventions would be expected to be performed in non-Hispanic Whites. Finally, we identified opportunities for SCAI to advance clinical care and equity for our patients, regardless of sex, ethnicity, or race.

Ethnic differences in out-of-hospital cardiac arrest among Middle Eastern Arabs and North African populations living in Qatar

Aims: There are very few studies comparing epidemiology and outcomes of out-of-hospital cardiac arrest (OHCA) in different ethnic groups. Previous ethnicity studies have mostly determined OHCA differences between African American and Caucasian populations. The aim of this study was to compare epidemiology, clinical presentation, and outcomes of OHCA between the local Middle Eastern Gulf Cooperation Council (GCC) Arab and the migrant North African populations living in Qatar.Methods: This was a retrospective cohort study of Middle Eastern GCC Arabs and migrant North African patients with presumed cardiac origin OHCA resuscitated by Emergency Medical Services (EMS) in Qatar, between June 2012 and May 2015.Results: There were 285 Middle Eastern GCC Arabs and 112 North African OHCA patients enrolled during the study period. Compared with the local GCC Arabs, univariate analysis showed that the migrant North African OHCA patients were younger and had higher odds of initial shockable rhythm, pre-hospital interventions (defibrillation and amioderone), pre-hospital scene time, and decreased odds of risk factors (hypertension, respiratory disease, and diabetes) and pre-hospital response time. The survival to hospital discharge had greater odds for North African OHCA patients which did not persist after adjustment. Multivariable logistic regression showed that North Africans were associated with lower odds of diabetes (OR 0.48, 95% CI 0.25-0.91, p = 0.03), and higher odds of initial shockable rhythm (OR 2.86, 95% CI 1.30-6.33, p = 0.01) and greater scene time (OR 1.02 95% CI 1.0-1.04, p = 0.02).Conclusions: North African migrant OHCA patients were younger, had decreased risk factors and favourable OHCA rhythm and received greater ACLS interventions with shorter pre-hospital response times and longer scene times leading to better survival.

Better Nurse Staffing Is Associated With Survival for Black Patients and Diminishes Racial Disparities in Survival After In-Hospital Cardiac Arrests

BACKGROUND

Racial disparities in survival among patients who had an in-hospital cardiac arrest (IHCA) have been linked to hospital-level factors.

OBJECTIVES

To determine whether nurse staffing is associated with survival disparities after IHCA.

RESEARCH DESIGN

Cross-sectional data from (1) the American Heart Association's Get With the Guidelines-Resuscitation database; (2) the University of Pennsylvania Multi-State Nursing Care and Patient Safety Survey; and (3) The American Hospital Association annual survey. Risk-adjusted logistic regression models, which took account of the hospital and patient characteristics, were used to determine the association of nurse staffing and survival to discharge for black and white patients.

SUBJECTS

A total of 14,132 adult patients aged 18 and older between 2004 and 2010 in 75 hospitals in 4 states.

RESULTS

In models that accounted for hospital and patient characteristics, the odds of survival to discharge was lower for black patients than white patients [odds ratio (OR)=0.70; 95% confidence interval (CI), 0.61-0.82]. A significant interaction was found between race and medical-surgical nurse staffing for survival to discharge, such that each additional patient per nurse lowered the odds of survival for black patients (OR=0.92; 95% CI, 0.87-0.97) more than white patients (OR=0.97; 95% CI, 0.93-1.00).

CONCLUSIONS

Our findings suggest that disparities in IHCA survival between black and white patients may be linked to the level of medical-surgical nurse staffing in the hospitals in which they receive care and that the benefit of being admitted to hospitals with better staffing may be especially pronounced for black patients.

Racial disparities in survival outcomes following pediatric in-hospital cardiac arrest

BACKGROUND

Among adults with in-hospital cardiac arrest (IHCA), overall survival is lower in black patients compared to white patients. Data regarding racial differences in survival for pediatric IHCA are unknown.

METHODS

Using 2000-2017 data from the American Heart Association Get With the Guidelines-Resuscitation® registry, we identified children >24 h and <18 years of age with IHCA due to an initial pulseless rhythm. We used generalized estimation equation to examine the association of black race with survival to hospital discharge, return of spontaneous circulation (ROSC), and favorable neurologic outcome at discharge.

RESULTS

Overall, 2940 pediatric patients (898 black, 2042 white) at 224 hospitals with IHCA were included. The mean age was 3.0 years, 57% were male and 16% had an initial shockable rhythm. Age, sex, interventions in place at the time of arrest and cardiac arrest characteristics did not differ significantly by race. The overall survival to discharge was 36.9%, return of spontaneous circulation (ROSC) was 73%, and favorable neurologic survival was 20.8%. Although black race was associated with lower rates of ROSC compared to white patients (69.5% in blacks vs. 74.6% in whites; risk-adjusted OR 0.79, 95% CI 0.67-0.94, P = 0.016), black race was not associated with survival to discharge (34.7% in blacks vs. 37.8% in whites; risk-adjusted OR 0.96, 95% CI 0.80-1.15, P = 0.68) or favorable neurologic outcome (18.7% in blacks vs. 21.8% in whites, risk-adjusted OR 0.98, 95% CI 0.80-1.20, p = 0.85).

CONCLUSIONS

In contrast to adults, we did not find evidence for racial differences in survival outcomes following IHCA among children.

Racial disparities in out-of-hospital cardiac arrest interventions and survival in the Pragmatic Airway Resuscitation Trial

BACKGROUND

Prior studies have reported racial disparities in survival from out-of-hospital cardiac arrest (OHCA). However, these studies did not evaluate the association of race with OHCA course of care and outcomes. The purpose of this study was to evaluate racial disparities in OHCA airway placement success and patient outcomes in the multicenter Pragmatic Airway Resuscitation Trial (PART).

METHOD

We conducted a secondary analysis of adult OHCA patients enrolled in PART. The parent trial randomized subjects to initial advanced airway management with laryngeal tube or endotracheal intubation. For this analysis, the primary independent variable was patient race categorized by emergency medical services (EMS) as white, black, Hispanic, other, and unknown. We used general estimating equations to examine the association of race with airway attempt success, 72-h survival, and survival to hospital discharge, adjusting for sex, age, witness status, bystander cardiopulmonary resuscitation (CPR), initial rhythm, arrest location, and PART randomization cluster.

RESULTS

Of 3002 patients, EMS-assessed race as 1537 white, 860 black, 163 Hispanic, 90 other, and 352 unknown. Initial shockable rhythms (13.8% vs. 21.5%, p < 0.001), bystander CPR (35.6% vs. 51.4%, p < 0.001), and survival to hospital discharge (7.6% vs. 10.8%, p = 0.011) were lower for black compared to white patients. After adjustment for confounders, no difference was seen in airway success, 72-h survival, and survival to hospital discharge by race.

CONCLUSIONS

In one of the largest studies evaluating differences in prehospital airway interventions and outcomes by EMS-assessed race for OHCA patients, we found no significant adjusted differences between airway success or survival outcomes.

Measuring Emergency Care Survival: The Implications of Risk Adjusting for Race and Poverty

OBJECTIVES

We determined the impact of including race, ethnicity, and poverty in risk adjustment models for emergency care-sensitive conditions mortality that could be used for hospital pay-for-performance initiatives. We hypothesized that adjusting for race, ethnicity, and poverty would bolster rankings for hospitals that cared for a disproportionate share of nonwhite, Hispanic, or poor patients.

METHODS

We performed a cross-sectional analysis of patients admitted from the emergency department to 157 hospitals in Pennsylvania with trauma, sepsis, stroke, cardiac arrest, and ST-elevation myocardial infarction. We used multivariable logistic regression models to predict in-hospital mortality. We determined the predictive accuracy of adding patient race and ethnicity (dichotomized as non-Hispanic white vs. all other Hispanic or nonwhite patients) and poverty (uninsured, on Medicaid, or lowest income quartile zip code vs. all others) to other patient-level covariates. We then ranked each hospital on observed-to-expected mortality, with and without race, ethnicity, and poverty in the model, and examined characteristics of hospitals with large changes between models.

RESULTS

The overall mortality rate among 170,750 inpatients was 6.9%. Mortality was significantly higher for nonwhite and Hispanic patients (adjusted odds ratio [aOR] = 1.27, 95% confidence interval [CI] = 1.19-1.36) and poor patients (aOR = 1.21, 95% CI = 1.12-1.31). Adding race, ethnicity, and poverty to the risk adjustment model resulted in a small increase in C-statistic (0.8260 to 0.8265, p = 0.002). No hospitals moved into or out of the highest-performing decile when adjustment for race, ethnicity, and poverty was added, but the three hospitals that moved out of the lowest-performing decile, relative to other hospitals, had significantly more nonwhite and Hispanic patients (68% vs. 11%, p < 0.001) and poor patients (56% vs. 10%, p < 0.001).

CONCLUSIONS

Sociodemographic risk adjustment of emergency care-sensitive mortality improves apparent performance of some hospitals treating a large number of nonwhite, Hispanic, or poor patients. This may help these hospitals avoid financial penalties in pay-for-performance programs.

Racial and ethnic residential segregation and access to health care in rural areas

This study examined the relationship between racial/ethnic residential segregation and access to health care in rural areas. Data from the Medical Expenditure Panel Survey were merged with the American Community Survey and the Area Health Resources Files. Segregation was operationalized using the isolation index separately for African Americans and Hispanics. Multi-level logistic regression with random intercepts estimated four outcomes. In rural areas, segregation contributed to worse access to a usual source of health care but higher reports of health care needs being met among African Americans (Adjusted Odds Ratio [AOR]: 1.42, CI: 0.96-2.10) and Hispanics (AOR: 1.25, CI: 1.05-1.49). By broadening the spatial scale of segregation beyond urban areas, findings showed the complex interaction between social and spatial factors in rural areas.

Racial and Ethnic Differences in End-of-Life Medicare Expenditures

OBJECTIVES

To determine to what extent demographic, social support, socioeconomic, geographic, medical, and End-of-Life (EOL) planning factors explain racial and ethnic variation in Medicare spending during the last 6 months of life.

DESIGN

Retrospective cohort study.

SETTING

Health and Retirement Study (HRS).

PARTICIPANTS

Decedents who participated in HRS between 1998 and 2012 and previously consented to survey linkage with Medicare claims (N = 7,105).

MEASUREMENTS

Total Medicare expenditures in the last 180 days of life according to race and ethnicity, controlling for demographic factors, social supports, geography, illness burden, and EOL planning factors, including presence of advance directives, discussion of EOL treatment preferences, and whether death had been expected.

RESULTS

The analysis included 5,548 (78.1%) non-Hispanic white, 1,030 (14.5%) non-Hispanic black, and 331 (4.7%) Hispanic adults and 196 (2.8%) adults of other race or ethnicity. Unadjusted results suggest that average EOL Medicare expenditures were $13,522 (35%, P < .001) more for black decedents and $16,341 (42%, P < .001) more for Hispanics than for whites. Controlling for demographic, socioeconomic, geographic, medical, and EOL-specific factors, the Medicare expenditure difference between groups fell to $8,047 (22%, P < .001) more for black and $6,855 (19%, P < .001) more for Hispanic decedents than expenditures for non-Hispanic whites. The expenditure differences between groups remained statistically significant in all models.

CONCLUSION

Individuals-level factors, including EOL planning factors do not fully explain racial and ethnic differences in Medicare spending in the last 6 months of life. Future research should focus on broader systemic, organizational, and provider-level factors to explain these differences.

Health Care Segregation, Physician Recommendation, and Racial Disparities in BRCA1/2 Testing Among Women With Breast Cancer

PURPOSE

Racial disparities in BRCA1/2 testing have been documented, but causes of these disparities are poorly understood. The study objective was to investigate whether the distribution of black and white patients across cancer providers contributes to disparities in BRCA1/2 testing.

PATIENTS AND METHODS

We conducted a population-based study of women in Pennsylvania and Florida who were 18 to 64 years old and diagnosed with invasive breast cancer between 2007 and 2009, linking cancer registry data, the American Medical Association Physician Masterfile, and patient and physician surveys. The study included 3,016 women (69% white, 31% black), 808 medical oncologists, and 732 surgeons.

RESULTS

Black women were less likely to undergo BRCA1/2 testing than white women (odds ratio [OR], 0.40; 95% CI, 0.34 to 0.48; P < .001). This difference was attenuated but not eliminated by adjustment for mutation risk, clinical factors, sociodemographic characteristics, and attitudes about testing (OR, 0.66; 95% CI, 0.53 to 0.81; P < .001). The care of black and white women was highly segregated across surgeons and oncologists (index of dissimilarity 64.1 and 61.9, respectively), but adjusting for clustering within physician or physician characteristics did not change the size of the testing disparity. Black women were less likely to report that they had received physician recommendation for BRCA1/2 testing even after adjusting for mutation risk (OR, 0.66; 95% CI, 0.54 to 0.82; P < .001). Adjusting for physician recommendation further attenuated the testing disparity (OR, 0.76; 95% CI, 0.57 to 1.02; P = .06).

CONCLUSION

Although black and white patients with breast cancer tend to see different surgeons and oncologists, this distribution does not contribute to disparities in BRCA1/2 testing. Instead, residual racial differences in testing after accounting for patient and physician characteristics are largely attributable to differences in physician recommendations. Efforts to address these disparities should focus on ensuring equity in testing recommendations.

Hospital variation in survival after pediatric in-hospital cardiac arrest

BACKGROUND

Although survival after in-hospital cardiac arrest is likely to vary among hospitals caring for children,validated methods to risk-standardize pediatric survival rates across sites do not currently exist.

METHODS AND RESULTS

From 2006 to 2010, within the American Heart Association's Get With the Guidelines-Resuscitation registry for in-hospital cardiac arrest, we identified 1551 cardiac arrests in children (<18 years). Using multivariable hierarchical logistic regression, we developed and validated a model to predict survival to hospital discharge and calculated risk-standardized rates of cardiac arrest survival for hospitals with a minimum of 10 pediatric cardiac arrest cases. A total of 13 patient-level predictors were identified: age, sex, cardiac arrest rhythm, location of arrest, mechanical ventilation, acute nonstroke neurological event, major trauma, hypotension, metabolic or electrolyte abnormalities, renal insufficiency, sepsis, illness category, and need for intravenous vasoactive agents prior to the arrest. The model had good discrimination (C-statistic of 0.71), confirmed by bootstrap validation (validation C-statistic of 0.69). Among 30 hospitals with ≥10 cardiac arrests, unadjusted hospital survival rates varied considerably (median, 37%; interquartile range, 24-42%; range, 0-61%). After risk-standardization, the range of hospital survival rates narrowed (median, 37%; interquartile range, 33-38%; range, 29-48%), but variation in survival persisted.

CONCLUSIONS

Using a national registry, we developed and validated a model to predict survival after in-hospital cardiac arrest in children. After risk-standardization, significant variation in survival rates across hospitals remained. Leveraging these models, future studies can identify best practices at high-performing hospitals to improve survival outcomes for pediatric cardiac arrest. (

Examining Causes of Racial Disparities in General Surgical Mortality: Hospital Quality Versus Patient Risk

BACKGROUND

Racial disparities in general surgical outcomes are known to exist but not well understood.

OBJECTIVES

To determine if black-white disparities in general surgery mortality for Medicare patients are attributable to poorer health status among blacks on admission or differences in the quality of care provided by the admitting hospitals.

RESEARCH DESIGN

Matched cohort study using Tapered Multivariate Matching.

SUBJECTS

All black elderly Medicare general surgical patients (N=18,861) and white-matched controls within the same 6 states or within the same 838 hospitals.

MEASURES

Thirty-day mortality (primary); others include in-hospital mortality, failure-to-rescue, complications, length of stay, and readmissions.

RESULTS

Matching on age, sex, year, state, and the exact same procedure, blacks had higher 30-day mortality (4.0% vs. 3.5%, P<0.01), in-hospital mortality (3.9% vs. 2.9%, P<0.0001), in-hospital complications (64.3% vs. 56.8% P<0.0001), and failure-to-rescue rates (6.1% vs. 5.1%, P<0.001), longer length of stay (7.2 vs. 5.8 d, P<0.0001), and more 30-day readmissions (15.0% vs. 12.5%, P<0.0001). Adding preoperative risk factors to the above match, there was no significant difference in mortality or failure-to-rescue, and all other outcome differences were small. Blacks matched to whites in the same hospital displayed no significant differences in mortality, failure-to-rescue, or readmissions.

CONCLUSIONS

Black and white Medicare patients undergoing the same procedures with closely matched risk factors displayed similar mortality, suggesting that racial disparities in general surgical mortality are not because of differences in hospital quality. To reduce the observed disparities in surgical outcomes, the poorer health of blacks on presentation for surgery must be addressed.

The influence of female gender on cardiac arrest outcomes: a systematic review of the literature

BACKGROUND

Sudden cardiac arrest is an important cause of cardiovascular mortality. The impact of gender on the outcome of cardiac arrest is not clear and data about that is limited.

OBJECTIVE

Understanding the influence of gender on cardiac arrest through a systematic review of the published literature.

METHODS

A search of all published studies in English between January 1970 and May 2013 was performed using the electronic databases PubMed and MEDLINE, using the key words 'cardiac arrest', 'outcome', and 'gender'.

RESULTS

Eleven studies were included in this review, all of which were observational studies conducted using national-based database registries of cardiac arrest. A total of 548,440 patients were enrolled in these studies with 220,646 (40.3%) of them being female patients. In general, there was a lower percentage of women in the reported studies compared to men. Women were older in age and more likely to have non-shockable rhythms as the initial rhythm. Women also had a lower rate of witnessed arrest, a lower rate of bystander resuscitation, a higher rate of survival until hospital admission and a lower rate of in-hospital survival compared to men. Women also had a more favorable one month survival and neurological outcome.

CONCLUSION

In the reported literature female gender seems to offer survival and outcome advantages following out-of-hospital cardiac arrest over male gender. This is in contrast to most other aspects of heart disease in which women tend to have a worse prognosis.

A pilot study examining the severity and outcome of the post-cardiac arrest syndrome: a comparative analysis of two geographically distinct hospitals

BACKGROUND

Cardiac arrest occurs in >400 000 patients in the United States per year, and mortality rates vary across the country. Whether variations in cardiac arrest outcome are the result of differences in hospital or patient characteristics remains understudied. We tested whether hospital-independent factors would account for the difference in outcome between 2 geographically distinct hospitals.

METHODS AND RESULTS

Consecutive adult (age >18 years) out-of-hospital cardiac arrests were considered for analysis. The primary outcome was in-hospital mortality. Predictor variables were classified according to whether they were hospital-independent or whether they could be related to the hospital's quality of care. Only hospital-independent variables were considered for the analysis. Sequential logistic modeling was used to assess outcome. A propensity score was derived and was used in subsequent multivariate logistic regression to predict hospital outcome. A total of 208 subjects were included. Overall mortality in the Detroit cohort was 87% in comparison with 61% in the Boston cohort (odds ratio: 4.4; 95% confidence interval: 2.2-8.8). After sequential adjustments for baseline covariates, out-of-hospital cardiac arrest score and propensity score, city was not significantly associated with mortality (odds ratio: 1.16; 95% confidence interval: 0.45-2.97). After propensity matching there was no significant difference in the odds ratio for death between the 2 cities (odds ratio: 1.15; 95% confidence interval: 0.51-2.61).

CONCLUSIONS

In this pilot study, we found that pre- and intra-arrest conditions contribute substantially to the severity of the postarrest syndrome and on outcomes. Postarrest quality-of-care evaluations should include inherent differences in the presenting syndrome rather than a crude mortality rate.

Elucidating the role of place in health care disparities: the example of racial/ethnic residential segregation

OBJECTIVE

To develop a conceptual framework for investigating the role of racial/ethnic residential segregation on health care disparities.

DATA SOURCES AND SETTINGS

Review of the MEDLINE and the Web of Science databases for articles published from 1998 to 2011.

STUDY DESIGN

The extant research was evaluated to describe mechanisms that shape health care access, utilization, and quality of preventive, diagnostic, therapeutic, and end-of-life services across the life course.

PRINCIPAL FINDINGS

The framework describes the influence of racial/ethnic segregation operating through neighborhood-, health care system-, provider-, and individual-level factors. Conceptual and methodological issues arising from limitations of the research and complex relationships between various levels were identified.

CONCLUSIONS

Increasing evidence indicates that racial/ethnic residential segregation is a key factor driving place-based health care inequalities. Closer attention to address research gaps has implications for advancing and strengthening the literature to better inform effective interventions and policy-based solutions.

Incidence of treated cardiac arrest in hospitalized patients in the United States

OBJECTIVE

The incidence and incidence over time of cardiac arrest in hospitalized patients is unknown. We sought to estimate the event rate and temporal trends of adult inhospital cardiac arrest treated with a resuscitation response.

DESIGN

Three approaches were used to estimate the inhospital cardiac arrest event rate. First approach: calculate the inhospital cardiac arrest event rate at hospitals (n = 433) in the Get With The Guidelines-Resuscitation registry, years 2003-2007, and multiply this by U.S. annual bed days. Second approach: use the Get With The Guidelines-Resuscitation inhospital cardiac arrest event rate to develop a regression model (including hospital demographic, geographic, and organizational factors), and use the model coefficients to calculate predicted event rates for acute care hospitals (n = 5445) responding to the American Hospital Association survey. Third approach: classify acute care hospitals into groups based on academic, urban, and bed size characteristics, and determine the average event rate for Get With The Guidelines-Resuscitation hospitals in each group, and use weighted averages to calculate the national inhospital cardiac arrest rate. Annual event rates were calculated to estimate temporal trends.

SETTING

Get With The Guidelines-Resuscitation registry.

PATIENTS

Adult inhospital cardiac arrest with a resuscitation response.

MEASUREMENTS AND MAIN RESULTS

The mean adult treated inhospital cardiac arrest event rate at Get With The Guidelines-Resuscitation hospitals was 0.92/1000 bed days (interquartile range 0.58 to 1.2/1000). In hospitals (n = 150) contributing data for all years of the study period, the event rate increased from 2003 to 2007. With 2.09 million annual U.S. bed days, we estimated 192,000 inhospital cardiac arrests throughout the United States annually. Based on the regression model, extrapolating Get With The Guidelines-Resuscitation hospitals to hospitals participating in the American Hospital Association survey projected 211,000 annual inhospital cardiac arrests. Using weighted averages projected 209,000 annual U.S. inhospital cardiac arrests.

CONCLUSIONS

There are approximately 200,000 treated cardiac arrests among U.S. hospitalized patients annually, and this rate may be increasing. This is important for understanding the burden of inhospital cardiac arrest and developing strategies to improve care for hospitalized patients.