Catherine G. Velopulos

Racial Disparities in Surgical Care and Outcomes in the United States: A Comprehensive Review of Patient, Provider, and Systemic Factors

It is well known that there are significant racial disparities in health care outcomes, including surgery. However, the mechanisms that lead to these disparities are still not fully understood. In this comprehensive review of the currently published surgical disparity literature in the United States, we assess racial disparities in outcomes after surgical procedures, focusing on patient, provider, and systemic factors. The PubMed, EMBASE, and Cochrane Library electronic databases were searched with the keywords: healthcare disparities AND surgery AND outcome AND US. Only primary research articles published between April 1990 and December 2011 were included in the study. Studies analyzing surgical patients of all ages and assessing the endpoints of mortality, morbidity, or the likelihood of receiving surgical therapy were included. A total of 88 articles met the inclusion criteria. This evidence-based review was compiled in a systematic manner, relying on retrospective, cross-sectional, case-control, and prospective studies in the absence of Class I studies. The review found that patient factors such as insurance status and socioeconomic status (SES) need to be further explored, as studies indicated only a premature understanding of the relationship between racial disparities and SES. Provider factors such as differences in surgery rates and treatment by low volume or low quality surgeons also appear to play a role in minority outcome disparities. Finally, systemic factors such as access to care, hospital volume, and hospital patient population have been shown to contribute to disparities, with research consistently demonstrating that equal access to care mitigates outcome disparities.

Screening for blunt cardiac injury: an Eastern Association for the Surgery of Trauma practice management guideline.

BACKGROUND Diagnosing blunt cardiac injury (BCI) can be difficult. Many patients with mechanism for BCI are admitted to the critical care setting based on associated injuries; however, debate surrounds those patients who are hemodynamically stable and do not otherwise require a higher level of care. To allow safe discharge home or admission to a nonmonitored setting, BCI should be definitively ruled out in those at risk. METHODS This Eastern Association for the Surgery of Trauma (EAST) practice management guideline (PMG) updates the original from 1998. English-language citations were queried for BCI from March 1997 through December 2011, using the PubMed Entrez interface. Of 599 articles identified, prospective or retrospective studies examining BCI were selected. Each article was reviewed by two members of the EAST BCI PMG workgroup. Data were collated, and a consensus was obtained for the recommendations. RESULTS We identified 35 institutional studies evaluating the diagnosis of adult patients with suspected BCI. This PMG has 10 total recommendations, including two Level 2 updates, two upgrades from Level 3 to Level 2, and three new recommendations. CONCLUSION Electrocardiogram (ECG) alone is not sufficient to rule out BCI. Based on four studies showing that the addition of troponin I to ECG improved the negative predictive value to 100%, we recommend obtaining an admission ECG and troponin I from all patients in whom BCI is suspected. BCI can be ruled out only if both ECG result and troponin I level are normal, a significant change from the previous guideline. Patients with new ECG changes and/or elevated troponin I should be admitted for monitoring. Echocardiogram is not beneficial as a screening tool for BCI and should be reserved for patients with hypotension and/or arrhythmias. The presence of a sternal fracture alone does not predict BCI. Cardiac computed tomography or magnetic resonance imaging can be used to differentiate acute myocardial infarction from BCI in trauma patients.

National estimates of predictors of outcomes for emergency general surgery.

BACKGROUND Identifying predictors of mortality and surgical complications has led to outcome improvements for a variety of surgical conditions. However, similar work has yet to be done for factors affecting outcomes of emergency general surgery (EGS). The objective of this study was to determine the predictors of in-hospital complications and mortality among EGS patients. METHODS The Nationwide Inpatient Sample (2003–2011) was queried for patients with conditions encompassing EGS as determined by the American Association for Surgery of Trauma, categorizing them into predefined EGS groups using DRG International Classification of Diseases—9th Rev.—Clinical Modification codes. Primary outcomes considered included incidence of a major complication (pneumonia, pulmonary emboli, urinary tract infections, myocardial infarctions, sepsis, or septic shock) and in-hospital mortality. Separate multivariate logistic regression analyses for complications and mortality were performed to identify risk factors of either outcome from the following domains: patient demographics (age, sex, insurance type, race, and income quartile), comorbidities, and hospital characteristics (location, teaching status, and bed size). RESULTS This study included 6,712,151 discharge records, weighted to represent 32,910,446 visits for EGS conditions. Mean age was 58.50 (19.74) years; slightly more than half (54.66%) were female. Uninsured patients were more likely to die (odds ratio,1.25; 95% confidence interval, 1.20–1.30), whereas patients in the highest income quartile had the least likelihood of mortality (odds ratio, 0.86; 95% confidence interval, 0.84–0.87). Old age was an independent predictor of mortality for all EGS subdiagnoses. The overall mortality rate was 1.76%; the overall complication rate was 10.03%. Of the patients who died, 62% experienced at least one major complication. Patients requiring resuscitation had the highest likelihood of mortality followed by patients with vascular disease and hepatic disease. CONCLUSION Death patterns of EGS patients were discerned using an administrative data set. Understanding patterns of mortality and complications derived from studies such as this could improve hospital benchmarking for EGS, akin to trauma surgery’s previous success. LEVEL OF EVIDENCE Prognostic and epidemiologic study, level III.

Outcomes after emergency general surgery at teaching versus nonteaching hospitals.

BACKGROUND Previous analyses demonstrate teaching hospitals to have worse outcomes raising concerns for quality of care. The purpose of this study was to compare outcomes between teaching and nonteaching hospitals for emergency surgical conditions in a national sample. METHODS The Nationwide Inpatient Sample (2005–2011) was queried for patients with emergency general surgery (EGS) conditions as determined by the American Association for Surgery of Trauma. Outcomes of in-hospital mortality, major complications, length of stay (LOS) and hospital cost were compared between patients presenting to teaching versus nonteaching hospitals. Propensity scores were used to match both groups on demographics, clinical diagnosis, comorbidities, and disease severity. Multivariate regression analyses were performed further adjusting for hospital-level factors including EGS volume. Small effect estimates were further tested using standardized differences. RESULTS A total of 3,707,465 patients from 3,163 centers were included. A majority of patients (59%) (n = 2,187,107) were treated at nonteaching hospitals. After propensity score matching and adjustment, teaching hospitals had a slightly higher odds likelihood of mortality (odds ratio, 1.04; 95% confidence interval, 1.02–1.06), slightly lower rate of major complications (odds ratio, 0.99; 95% confidence interval, 0.98–0.99), slightly decreased LOS (5.03 days [4.98–5.09] vs. 5.22 days [5.16–5.29]), and slightly higher hospital costs [

Association Between Race and Age in Survival After Trauma

12,846 [

Worse outcomes among uninsured general surgery patients: Does the need for an emergency operation explain these disparities?

12,827–

Incremental Cost of Emergency Versus Elective Surgery.

12,865] vs.

Timing and type of surgical treatment of Clostridium difficile-associated disease: A practice management guideline from the Eastern Association for the Surgery of Trauma

12,304 [12,290–12,318]). Although these differences were statistically significant at p < 0.05, the absolute difference was very small. Further testing of these effect estimates using standardized differences revealed an insignificant difference of 0.5% for mortality, 0.4% for major complications, 0.2% for LOS, and 3.1% for hospital cost. CONCLUSION National estimates of outcomes for EGS conditions demonstrate comparable results between teaching and nonteaching hospitals. Concerns regarding quality of care and higher costs at teaching hospitals may be unfounded. Further research to test for differences by specific EGS conditions, operative management, and hospital costs are warranted.

Explaining the Paradoxical Age-based Racial Disparities in Survival After Trauma: The Role of the Treating Facility

IMPORTANCE Racial disparities in survival after trauma are well described for patients younger than 65 years. Similar information among older patients is lacking because existing trauma databases do not include important patient comorbidity information. OBJECTIVE To determine whether racial disparities in trauma survival persist in patients 65 years or older. DESIGN, SETTING, AND PARTICIPANTS Trauma patients were identified from the Nationwide Inpatient Sample (January 1, 2003, through December 30, 2010) using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes. Injury severity was ascertained by applying the Trauma Mortality Prediction Model, and patient comorbidities were quantified using the Charlson Comorbidity Index. MAIN OUTCOMES AND MEASURES In-hospital mortality after trauma for blacks vs whites for younger (16-64 years of age) and older (≥65 years of age) patients was compared using 3 different statistical methods: univariable logistic regression, multivariable logistic regression with and without clustering for hospital effects, and coarsened exact matching. Model covariates included age, sex, insurance status, type and intent of injury, injury severity, head injury severity, and Charlson Comorbidity Index. RESULTS A total of 1,073,195 patients were included (502,167 patients 16-64 years of age and 571,028 patients ≥65 years of age). Most older patients were white (547,325 [95.8%]), female (406 158 [71.1%]), and insured (567,361 [99.4%]) and had Charlson Comorbidity Index scores of 1 or higher (323,741 [56.7%]). The unadjusted odds ratios (ORs) for death in blacks vs whites were 1.35 (95% CI, 1.28-1.42) for patients 16 to 64 years of age and 1.00 (95% CI, 0.93-1.08) for patients 65 years or older. After risk adjustment, racial disparities in survival persisted in the younger black group (OR, 1.21; 95% CI, 1.13-1.30) but were reversed in the older group (OR, 0.83; 95% CI, 0.76-0.90). This finding was consistent across all 3 statistical methods. CONCLUSIONS AND RELEVANCE Different racial disparities in survival after trauma exist between white and black patients depending on their age group. Although younger white patients have better outcomes after trauma than younger black patients, older black patients have better outcomes than older white patients. Exploration of this paradoxical finding may lead to a better understanding of the mechanisms that cause disparities in trauma outcomes.

Does relative value unit-based compensation shortchange the acute care surgeon?

BACKGROUND We hypothesize that lack of access to care results in propensity toward emergent operative management and may be an important factor in worse outcomes for the uninsured population. The objective of this study is to investigate a possible link to worse outcomes in patients without insurance who undergo an emergent operation. METHODS A retrospective cross-sectional analysis was performed using the Nationwide Inpatient Sample (NIS) 2005-2011 dataset. Patients who underwent biliary, hernia, and colorectal operations were evaluated. Multivariate analyses were performed to assess the associations between insurance status, urgency of operation, and outcome. Covariates of age, sex, race, and comorbidities were controlled. RESULTS The uninsured group had greatest odds ratios of undergoing emergent operative management in biliary (OR 2.43), colorectal (3.54), and hernia (3.95) operations, P < .001. Emergent operation was most likely in the 25- to 34-year age bracket, black and Hispanic patients, men, and patients with at least one comorbidity. Postoperative complications in emergencies, however, were appreciated most frequently in the populations with government coverage. CONCLUSION Although the uninsured more frequently underwent emergent operations, patients with coverage through the government had more complications in most categories investigated. Young patients also carried significant risk of emergent operations with increased complication rates. Patients with government insurance tended toward worse outcomes, suggesting disparity for programs such as Medicaid. Disparity related to payor status implies need for policy revisions for equivalent health care access.