Association of hospital participation in a quality reporting program with surgical outcomes and expenditures for Medicare beneficiaries

Taking action to achieve health equity and eliminate healthcare disparities within acute care surgery

Addressing disparities is crucial for enhancing population health, ensuring health security, and fostering resilient health systems. Disparities in acute care surgery (trauma, emergency general surgery, and surgical critical care) have been well documented and the magnitude of inequities demand an intentional, organized, and effective response. As part of its commitment to achieve high-quality, equitable care in all aspects of acute care surgery, the American Association for the Surgery of Trauma convened an expert panel at its eigty-second annual meeting in September 2023 to discuss how to take action to work towards health equity in acute care surgery practice. The panel discussion framed contemporary disparities in the context of historic and political injustices, then identified targets for interventions and potential action items in health system structure, health policy, the surgical workforce, institutional operations and quality efforts. We offer a four-pronged approach to address health inequities: identify, reduce, eliminate, and heal disparities, with the goal of building a healthcare system that achieves equity and justice for all.

Secondary databases in gynecologic cancer research

Observational and cohort studies using large databases have made important contributions to gynecologic oncology. Knowledge of the advantages and potential limitations of commonly used databases benefits both readers and reviewers. In this review, researchers familiar with National Cancer Database (NCDB), Surveillance, Epidemiology, and End Results Program (SEER), SEER-Medicare, MarketScan, Healthcare Cost and Utilization Project (HCUP), National Surgical Quality Improvement Program (NSQIP), and Premier, describe each database, its included data, access, management, storage, highlights, and limitations. A better understanding of these commonly used datasets can help readers, reviewers, and researchers to more effectively interpret and apply study results, evaluate new research studies, and develop compelling and practice-changing research.

Associations Between Integration and Patient Experience in Hospital-Based Health Systems: An Exploration of Horizontal and Vertical Forms of Integration

GOAL

The U.S. hospital sector is experiencing record levels of integration, with more than half of U.S. physicians and nearly three quarters of all hospitals affiliated with one of slightly more than 630 health systems. However, there is growing evidence to suggest that health system integration is associated with more expensive and lower quality care. The goal of this research is to explore the associations between forms of health system integration and hospital patient experience scores.

METHODS

A cross-section of data for the year 2019 was assembled and analyzed from the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) patient experience survey. Data from the Compendium of US Health Systems, published by the Agency for Healthcare Research and Quality (AHRQ), and the American Hospital Association (AHA) Annual Survey were used to obtain independent variables and hospital-level covariates. A series of multivariable regressions was used to explore the associations between forms of health system integration and hospital patient experience scores across three domains: overall impression of the hospital; experiences with staff; and the hospital environment. Forms of both horizontal integration (i.e., number of hospitals owned by hospital-based health systems) and vertical integration (i.e., physician-hospital integration, nursing home ownership, accountable care organization [ACO] participation, group purchasing, contract management, offering insurance products, and investor ownership) were explored.

PRINCIPAL FINDINGS

Although horizontal integration was not associated with any meaningful differences in patient experience scores, health systems with physician-hospital integration were associated with overall impression scores that were 2 percentage points higher than systems without physician integration. Similarly, contract management and membership in a group purchasing organization were associated with overall impression and environment scores that were 2 to 3 percentage points higher than hospitals that did not engage in those forms of integration. By contrast, investor ownership was associated with a 5% lower score for overall patient experience compared with other forms of ownership.

PRACTICAL APPLICATIONS

The findings of this study suggest that hospitals in more vertically integrated systems may have higher patient experience scores than independent hospitals and those that belong exclusively to horizontally integrated systems. Thus, there are elements of vertical integration that could benefit patients and be worth pursuing. Conversely, higher degrees of horizontal integration in the form of multihospital ownership may not be of any benefit to patients and should be pursued with caution.

The association between participation in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and postoperative outcomes: A comprehensive analysis of 7,474,298 patients

INTRODUCTION

Prior publications about the association between participation in the American College of Surgeons National Surgical Quality Improvement Program and improved postoperative outcomes have reported mixed results. We aimed to perform a comprehensive analysis of preoperative characteristics and unadjusted and risk-adjusted postoperative complication rates over time in the American College of Surgeons National Surgical Quality Improvement Program dataset.

METHODS

We used the American College of Surgeons National Surgical Quality Improvement Program database, 2005 to 2018, to analyze preoperative patient characteristics and unadjusted and risk-adjusted rates of adverse postoperative outcomes by year. Expected events were calculated using multiple logistic regression, with each complication as the dependent variable and the 28 non-laboratory preoperative American College of Surgeons National Surgical Quality Improvement Program variables as the independent variables. Annual observed-to-expected ratios for each outcome were used to risk-adjust outcomes over time.

RESULTS

The analytic cohort included 7,474,298 operations across 9 surgical specialties. Both the preoperative patient risk and the unadjusted rate of postoperative complications decreased over time. While the observed-to-expected ratio for mortality remained around 1, the observed-to-expected ratios for the other outcomes decreased over time from 2005 to 2018, except for the following cardiac complications: overall morbidity 1.11 (95% confidence interval: 1.10-1.13) to 0.97 (0.96-0.98); pulmonary 1.18 (1.15-1.21) to 0.91 (0.89-0.92); infection 1.19 (1.16-1.21) to 1.01 (1.00-1.01); urinary tract infection 1.29 (1.23-1.34) to 0.87 (0.86-0.89); venous thromboembolism 1.10 (1.03-1.16) to 0.92 (0.90-0.94) ; cardiac 0.76 (0.70-0.81) to 1.04 (1.01-1.07); renal 1.14 (1.08-1.21) to 0.96 (0.93-0.99); stroke 1.12 (1.00-1.25) to 0.98 (0.94-1.03); and bleeding 1.35 (1.33-1.36) to 0.80 (0.79-0.81).

CONCLUSION

Hospitals participating in the American College of Surgeons National Surgical Quality Improvement Program have experienced a decrease in risk-adjusted postoperative surgical complications over time in all areas except for mortality and cardiac complications.

Social vulnerability and perioperative outcomes after colectomy for colon cancer

BACKGROUND

The Social Vulnerability Index (SVI) has previously been demonstrated to correlate with worse postoperative outcomes after surgery, but the association of SVI with short- and long-term outcomes after colon cancer surgery has been underexplored.

METHODS

This is a retrospective cross-sectional study of Medicare patients aged 65 to 99 years who underwent colectomy for colon cancer between 2016 and 2020, merged with SVI at the census tract level. We tested the association between SVI with emergent colectomy and 30-day and 1-year mortality using a multivariable logistic regression model adjusted for patient demographics and hospital characteristics.

RESULTS

The cohort included 169,498 patients who underwent colectomy for colon cancer. Medicare patients living in areas in the highest quintile of social vulnerability were more likely to undergo unplanned colectomy for colon cancer than those in the lowest quintile (35.6% vs 28.9%; adjusted odds ratio [aOR], 1.36; 95% CI, 1.31-1.41; P < .001). Similarly, patients living in areas in the highest quintile of social vulnerability experienced higher risk-adjusted rates of 30-day mortality (3.4% vs 2.9%; aOR, 1.20; 95% CI, 1.12-1.29; P < .001) and 1-year mortality (10.8% vs 8.6%; aOR, 1.30; 95% CI, 1.22-1.37; P < .001) than patients living in the lowest quintile of social vulnerability. When evaluating the elective and unplanned cohorts separately, these differences persisted.

CONCLUSION

Among Medicare patients undergoing colectomy for colon cancer, high social vulnerability was associated with an increased risk of unplanned operations and worse short- and long-term postoperative outcomes in both the emergent and elective settings. Providers should seek to mitigate disparate surgical outcomes by addressing structural inequities in social resources.

Using machine learning to predict outcomes of patients with blunt traumatic aortic injuries

BACKGROUND

The optimal management of blunt thoracic aortic injury (BTAI) remains controversial, with experienced centers offering therapy ranging from medical management to TEVAR. We investigated the utility of a machine learning (ML) algorithm to develop a prognostic model of risk factors on mortality in patients with BTAI.

METHODS

The Aortic Trauma Foundation registry was utilized to examine demographics, injury characteristics, management and outcomes of patients with BTAI. A STREAMLINE (A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison) model as well as logistic regression (LR) analysis with imputation using chained equations was developed and compared.

RESULTS

From a total of 1018 patients in the registry, 702 patients were included in the final analysis. Of the 258 (37%) patients who were medically managed, 44 (17%) died during admission, 14 (5.4%) of which were aortic related deaths. Four hundred forty-four (63%) patients underwent TEVAR and 343 of which underwent TEVAR within 24 hours of admission. Among TEVAR patients, 39 (8.8%) patients died and 7 (1.6%) had aortic related deaths ( Table 1 ). Comparison of the STREAMLINE and LR model showed no significant difference in ROC curves and high AUCs of 0.869 (95% confidence interval, 0.813-0.925) and 0.840 (95% confidence interval, 0.779-0.900) respectively in predicting in-hospital mortality. Unexpectedly, however, the variables prioritized in each model differed between models. The top 3 variables identified from the LR model were similar to that from existing literature. The STREAMLINE model, however, prioritized location of the injury along the lesser curve, age and aortic injury grade.

CONCLUSION

Machine learning provides insight on prioritization of variables not typically identified in standard multivariable logistic regression. Further investigation and validation in other aortic injury cohorts are needed to delineate the utility of ML models.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

Short-term complication rates of open reduction and plate fixation and intramedullary nailing in the treatment of humeral shaft fractures: a propensity score matched analysis

INTRODUCTION

This is a retrospective cohort study designed to compare short-term postoperative complication rates between closed humeral shaft fractures treated by open reduction and internal fixation (ORIF) versus intramedullary nailing (IMN), as well as secondary independent risk factors for adverse outcomes.

MATERIALS AND METHODS

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried using CPT codes to identify patients that underwent an open reduction and plate fixation or intramedullary nailing procedure for a closed humeral shaft fracture from 2010 to 2021. Cohorts were matched using propensity scores to account for demographic differences and rates of complications were compared between the two groups.

RESULTS

From the database, a total of 4,222 patients were identified who met inclusion criteria, with 3,326 and 896 undergoing ORIF and IMN respectively. After propensity score matching, 866 of the nearest-neighbor matches were included in each cohort for a total of 1,732 patients in the final analysis. The rate of any adverse event (AAE) was significantly higher in the ORIF cohort (16.3%) than the IMN cohort (12.1%, p = 0.01). The ORIF group had higher rates of postoperative transfusion (p = 0.002), return to OR (p = 0.005), and surgical site infection (SSI, p = 0.03). After multivariate analysis, ASA class 4, increasing age, increasing operative time, and history of bleeding disorder were found to increase the risk of AAE in both ORIF and IMN patients.

CONCLUSIONS

While prior studies have claimed higher complication rates in IMN patients, this study found a significantly higher short-term risk of AAE in ORIF patients when compared in matched cohorts. However, individual 30-day complication rates do not differ significantly between procedures, and both have been shown to be safe and effective tools in the management of humeral shaft fractures.

Variation in Postoperative Outcomes Across Federally Designated Hospital Star Ratings

Importance

Despite widespread use to guide patients to hospitals providing the best care, it remains unknown whether Centers for Medicare & Medicaid Services (CMS) hospital star ratings are a reliable measure of hospital surgical quality.

Objective

To examine the CMS hospital star ratings and hospital surgical quality measured by 30-day postoperative mortality, serious complications, and readmission rates for Medicare beneficiaries undergoing colectomy, coronary artery bypass graft, cholecystectomy, appendectomy, and incisional hernia repair.

Design, Setting, and Participants

This cohort study evaluated 100% Medicare administrative claims for nonfederal acute care hospitals with a CMS hospital star rating for calendar years 2014-2018. Data analysis was performed from January 15, 2022, to April 30, 2023. Participants included fee-for-service Medicare beneficiaries aged 66 to 99 years who underwent colectomy, coronary artery bypass graft, cholecystectomy, appendectomy, or incisional hernia repair with continuous Medicare coverage for 3 months before and 6 months after surgery.

Exposure

Centers for Medicare & Medicaid Services hospital star rating.

Main Outcomes and Measures

Risk- and reliability-adjusted hospital rates of 30-day postoperative mortality, serious complications, and 30-day readmissions were measured and compared across hospitals and star ratings.

Results

A total of 1 898 829 patients underwent colectomy, coronary artery bypass graft, cholecystectomy, appendectomy, or incisional hernia repair at 3240 hospitals with a CMS hospital star rating. Mean (SD) age was 74.8 (7.0) years, 50.6% of the patients were male, and 86.5% identified as White. Risk- and reliability-adjusted 30-day mortality rate decreased in a stepwise fashion from 6.80% (95% CI, 6.79%-6.81%) in 1-star hospitals to 4.93% (95% CI, 4.93%-4.94%) in 5-star hospitals (adjusted odds ratio, 1.86; 95% CI, 1.73-2.00). There was wide variation in the rates of hospital mortality (variation, 1.89%; range, 2.4%-16.2%), serious complications (variation, 1.97%; range, 5.5%-45.1%), and readmission (variation, 1.27%; range, 9.1%-22.5%) across all hospitals. After stratifying hospitals by their star rating, similar patterns of variation were observed within star rating groups for 30-day mortality: 1 star (variation, 1.91%; range, 3.6%-12.0%), 2 star (variation, 1.86%; range, 2.8%-16.2%), 3 star (variation, 1.84%; range, 2.9%-12.3%), 4 star (variation, 1.76%; range, 2.9%-11.5%), and 5 star (variation, 1.79%; range, 2.4%-9.1%). Similar patterns were observed for serious complications and readmissions.

Conclusion and Relevance

Although CMS hospital star rating was associated with postoperative mortality, serious complications, and readmissions, there was wide variation in surgical outcomes within each star rating group. These findings highlight the limitations of the CMS hospital star rating system as a measure of surgical quality and should be a call for continued improvement of publicly reported hospital grade measures.

Association of National Accreditation Program for Rectal Cancer Accreditation with Outcomes after Rectal Cancer Surgery

BACKGROUND

The National Accreditation Program for Rectal Cancer (NAPRC) defined a set of standards in 2017 centered on multidisciplinary program structure, evidence-based care processes, and internal audit to address widely variable rectal cancer practices and outcomes across US hospitals. There have been no studies to-date testing the association between NAPRC accreditation and rectal cancer outcomes.

STUDY DESIGN

This was a retrospective, observational study of Medicare beneficiaries aged 65 to 99 years with rectal cancer who underwent proctectomy from 2017 to 2020. The primary exposure was NAPRC accreditation and the primary outcomes included mortality (in-hospital, 30 day, and 1 year) and 30-day complications, readmissions, and reoperations. Associations between NAPRC accreditation and each outcome were tested using multivariable logistic regression with risk-adjustment for patient and hospital characteristics.

RESULTS

Among 1,985 hospitals, 65 were NAPRC-accredited (3.3%). Accredited hospitals were more likely to be nonprofit and teaching with 250 or more beds. Among 20,202 patients, 2,078 patients (10%) underwent proctectomy at an accredited hospital. Patients at accredited hospitals were more likely to have an elective procedure with a minimally invasive approach and sphincter preservation. Risk-adjusted in-hospital mortality (1.1% vs 1.3%; p = 0.002), 30-day mortality (2.1% vs 2.9%; p < 0.001), 30-day complication (18.3% vs 19.4%; p = 0.01), and 1-year mortality rates (11% vs 12.1%; p < 0.001) were significantly lower at accredited compared with nonaccredited hospitals.

CONCLUSIONS

NAPRC-accredited hospitals have lower risk-adjusted morbidity and mortality for major rectal cancer surgery. Although NAPRC standards address variability in practice, without directly addressing surgical safety, our findings suggest that NAPRC-accredited hospitals may provide higher quality surgical care.

Risk factors and incidence of short-term complications following open reduction and internal fixation of scapula fractures

PURPOSE

To determine the short-term complication rates following open reduction and internal fixation of scapula fractures, factors affecting the development of adverse events, and complication rates based on the anatomic location of the fracture.

METHODS

Thirty-day complication rates for patients who underwent open reduction and internal fixation of the scapula were compared between glenoid, body, coracoid, and acromion fracture locations, as identified by International Classification of Disease codes. Possible adverse events included postoperative surgical site infection, renal insufficiency, intubation, pneumonia, deep vein thrombosis, pulmonary embolism, urinary tract infection, wound dehiscence, stroke, and blood transfusion.

RESULTS

A total of 251 scapula fractures were identified, with 161 having known fracture locations: 105 glenoid, 20 body, 9 coracoid, and 27 acromial fractures. The rate of any adverse event for all scapular fractures was 2.0%, with no significant difference between anatomic locations (p = 0.79). The overall rates of transfusion, surgical site infection, and return to OR were 0.4%, 0.8%, and 3.98%. Steroid use associated with a significantly increased risk of any adverse event (OR: 55.57, p = 0.038) and outpatient status demonstrated a protective effect on reoperation (OR: 0.11, p = 0.014). There were no significant differences in the rates between groups [transfusion (p = 0.91); surgical site infection (p = 0.17); reoperation (p = 0.85)].

CONCLUSION

Complication rates within thirty days of ORIF for scapula fracture were low. Reoperation was the most common complication, followed by surgical site infection, wound dehiscence, stroke, transfusion, and pneumonia. Steroid use was a risk factor for developing any adverse event, and outpatient status was protective against reoperation. The 30-day complication profile of glenoid, body, coracoid, and acromial fractures was not significantly different. The low complication rates support the relative short-term safety of operative intervention with internal fixation.

LEVEL OF EVIDENCE

Level III.

Additional Procedures at the Time of Total Ankle Replacement Do Not Increase Risk of Short-term Complications: A Matched Cohort Analysis

Background

This retrospective cohort study compared short-term complication rates following total ankle arthroplasty (TAA), alone or with concomitant procedures. Secondary independent risk factors were also examined as they related to postoperative outcomes.

Methods

The American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database was queried using Current Procedural Terminology (CPT) codes to identify patients who underwent TAA (27702) between 2010 to 2021. Patients were divided into cohorts based on the presence or absence of ancillary procedures. Propensity score matching was employed to account for demographic differences, and statistical analyses were performed to compare short-term complication rates between matched cohorts.

Results

A total of 2225 patients were identified, with 1432 (64.4%) receiving TAA alone and 793 (35.6%) with ancillary procedure(s). After matching, 793 patients were included in each cohort. The ancillary cohort had longer operative times (P < .001) and length of hospital stay (LOS) (P < 0.001). Rates for extended LOS were significantly higher in the ancillary cohort than in the simple cohort (P = .01). No other complications varied significantly between cohorts, including the incidence of any adverse event (AAE). American Society of Anesthesiologists classification of 4 was found to be an independent risk factor for development of AAE (odds ratio [OR] = 1.091, P = .04). Matched subgroup analysis excluding tendon lengthening as a concomitant procedure found that the ancillary cohort still had longer operative time (P < .001) and LOS (P < .05) than patients undergoing simple TAA.

Conclusion

Without significant difference in rates of AAE other than extended LOS, the relative safety of ancillary TAA appears similar to that of TAA alone. Such knowledge can help inform surgical decision-making and assuage safety concerns for patients requiring additional corrective procedures at the time of TAA.

Level of Evidence

Level III, retrospective comparative study.

Predictors and outcomes of same day discharge after minimally invasive hysterectomy in gynecologic oncology within the National Surgical Quality Improvement Program database

OBJECTIVE

To assess trends over time of same day discharge after minimally invasive hysterectomy in oncology, identify perioperative factors influencing same day discharge, and evaluate 30 day postoperative morbidity.

METHODS

A retrospective cohort of elective minimally invasive hysterectomies performed for gynecologic oncologic indications between January 2013 and December 2021 was identified using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. Clinical and surgical characteristics, length of stay, and 30 day postoperative complications were captured. Clinical and surgical factors affecting same day discharge rate and impact of same day discharge on postoperative outcomes were evaluated using χ2 tests and logistic regression.

RESULTS

Patients undergoing minimally invasive hysterectomy (n=32 823) had a same day discharge rate of 34.5% over the 9 year period, increasing from 15.5% in 2013 to 55.1% in 2021. The rate of patients discharged on postoperative day 1 decreased from 76.4% to 41.4% over this period. On multivariable analysis, same day discharge decreased with: age 70-79 years (odds ratio (OR) 0.80) and ≥80 years (OR 0.42); body mass index 40-49.9 kg/m2 (OR 0.89) and ≥50 kg/m2 (OR 0.67); patient comorbidities, including hypertension (OR 0.85), chronic steroid use (OR 0.74), bleeding disorder (OR 0.54), anemia (OR 0.89), and hypoalbuminemia (OR 0.76); and surgical time >90th percentile (OR 0.40) (all p<0.05). Lymphadenectomy did not impact the same day discharge rate (unadjusted OR 1.03, p=0.22). Same day discharge had no effect on 30 day postoperative composite morbidity (OR 0.91, p=0.20), and was associated with fewer readmissions (OR 0.75, p=0.005). Age 70-79 years (OR 1.07, p=0.435) and age ≥80 years (OR 1.11, p=0.504) did not increase postoperative morbidity. However, body mass index categories 40-49.9 kg/m2 (OR 1.28, 95% CI 1.08 to 1.51) and ≥50 kg/m2 (OR 1.60, 95% CI 1.27 to 2.01) were associated with greater 30 day composite morbidity.

CONCLUSION

In this study, same day discharge following minimally invasive hysterectomy for oncologic indications was safe, and rates are rising among all age and body mass index categories. Quality improvement initiatives are needed at oncology centers to promote early discharge after minimally invasive gynecologic oncology surgery.

Continuous monitoring of adverse effects improves surgical outcomes

BACKGROUND

There has been significant debate about the advantages and disadvantages of using administrative databases or clinical registry in healthcare improvement programs. The aim of this study was to review the implementation and outcomes of an accountability policy through a registry maintained by professionals of the surgical department.

MATERIALS AND METHODS

All patients admitted to the department between 2003 and 2022 were prospectively included. All adverse events (AEs) occurring during the admission, convalescent care in facilities, or at home for a minimum period of 30 days after discharge were recorded.

RESULTS

Out of 60,125 records, 24,846 AEs were documented in 16,802 cases (27.9%). There was a progressive increase in the number of AEs recorded per admission (1.17 in 2003 vs. 1.93 in 2022) with a 26% decrease in entries with AEs (from 35.0% in 2003 to 25.8% in 2022), a 57.5% decrease in reoperations (from 8.0% to 3.4%, respectively), and an 80% decrease in mortality (from 1.8% to 1.0%, respectively). It is noteworthy that a significant reduction in severe AEs was observed between 2011 and 2022 (56% vs. 15.6%).

CONCLUSION

A prospective registry of AEs created and maintained by health professionals, along with transparent presentation and discussion of the results, leads to sustained improvement in outcomes in a surgical department of a university hospital.

Lack of associations between hospital rating and outcomes in patients with an acute coronary syndrome

BACKGROUND

Public reporting of performance data has become a common tool in evaluation of healthcare providers. The rating may be misleading if the association between the measured variables and the outcome is weak.

METHODS AND RESULTS

Nationwide, register-based, cohort study. All Swedish patients hospitalised with an acute coronary syndrome during the time periods 2006-2010 and 2015-2017 were included in the study. Possible associations between cardiovascular morbidity and mortality for these patients and ranking scores for each hospital in a Swedish healthcare quality register for acute coronary syndromes were analysed. We found no association between the ranking score and mortality, and no or weak associations between the ranking score and readmissions.

CONCLUSIONS

Lack of associations between quality measurements and patient outcomes warrants improvement in ranking scores. Cautious use of the ranking results is necessary in comparisons between healthcare providers.

Higher Rates Of Emergency Surgery, Serious Complications, And Readmissions In Primary Care Shortage Areas, 2015-19

Primary care physicians are often the first to screen and identify patients with access-sensitive surgical conditions that should be treated electively. These conditions require surgery that is preferably planned (elective), but, when access is limited, treatment may be delayed and worsening symptoms lead to emergency surgery (for example, colectomy for cancer, abdominal aortic aneurysm repair, and incisional hernia repair). We evaluated the rates of elective versus emergency surgery for patients with three access-sensitive surgical conditions living in primary care Health Professional Shortage Areas during 2015-19. Medicare beneficiaries in more severe primary care shortage areas had higher rates of emergency surgery compared with rates in the least severe shortage areas (37.8 percent versus 29.9 percent). They were also more likely to have serious complications (14.9 percent versus 11.7 percent) and readmissions (15.7 percent versus 13.5 percent). When we accounted for areas with a shortage of surgeons, the findings were similar. Taken together, these findings suggest that residents of areas with greater primary care workforce shortages may also face challenges in accessing elective surgical care. As policy makers consider investing in Health Professional Shortage Areas, our findings underscore the importance of primary care access to a broader range of services.

Association of social determinants of health International Classification of Disease, Tenth Edition clinical modification codes with outcomes for emergency general surgery and trauma admissions

BACKGROUND

Patients with Acute Care Surgery needs (ie, emergency general surgery diagnosis or trauma admission) are at particularly high risk for nonmedical patient-related factors that can be important drivers of healthcare outcomes. These social determinants of health are typically ascertained at the geographic area level (ie, county or neighborhood) rather than at the individual patient level. Recently, the International Classification of Diseases Tenth Revision, Tenth Edition created codes to capture health hazards related to patient socioeconomic and psychosocial circumstances. We sought to characterize the impact of these social determinants of health-related codes on perioperative outcomes among patients with acute care surgery needs.

METHODS

Patients diagnosed between 2017 and 2020 with acute care surgery needs (ie, emergency general surgery diagnosis or a trauma admission) were identified in the California Department of Healthcare Access and information Patient Discharge database. Data on concomitant social determinants of health-related codes (International Classification of Diseases Tenth Revision, Tenth Edition Z55-Z65), which designated health hazards related to socioeconomic and psychosocial (socioeconomic and psychosocial, respectively) circumstances, were obtained. After controlling for patient factors, including age, sex, race, payer type, and admitting hospital, the association of socioeconomic and psychosocial codes with perioperative outcomes and hospital disposition was analyzed.

RESULTS

Among 483,280 with an acute care surgery admission (emergency general surgery: n = 289,530, 59.9%; trauma: n = 193,705, 40.1%) mean age was 56.5 years (standard deviation: 21.5) and 271,911 (56.3%) individuals were male. Overall, 16,263 (3.4%) patients had a concomitant socioeconomic and psychosocial diagnosis code. The percentage of patients with a concurrent social determinants of health International Classification of Diseases Tenth Revision, Tenth Edition diagnosis increased throughout the study period from 2.6% in 2017 to 4.4% in 2020. Patients that were male (odds ratio 1.89; 95% confidence interval 1.82, 1.96), insured by Medicaid (odds ratio 5.43; 95% confidence interval 5.15, 5.72) or self-pay (odds ratio 3.04; 95% confidence interval 2.75, 3.36) all had higher odds of having an social determinants of health International Classification of Diseases Tenth Revision, Tenth Edition diagnosis. Black race did not have a significant association with an social determinants of health International Classification of Diseases Tenth Revision, Tenth Edition diagnosis (odds ratio 0.99; 95% confidence interval 0.94, 1.04); however, Hispanic (odds ratio 0.44; 95% confidence interval 0.43, 0.46) and Asian (odds ratio 0.40; 95% confidence interval 0.36, 0.44) race/ethnicity was associated with a lower odds of having an social determinants of health International Classification of Diseases Tenth Revision, Tenth Edition diagnosis. After controlling for competing risk factors on multivariable analyses, the risk-adjusted probability of hospital postoperative death was 3.1% (95% confidence interval 2.8, 3.4) among patients with a social determinants of health diagnosis versus 5.9% (95% confidence interval 5.9, 6.0) (odds ratio 0.48; 95% confidence interval 0.44, 0.54) among patients without a social determinants of health diagnosis. Risk-adjusted complications were 26.7% (95% confidence interval 26.1, 37.3) among patients with a social determinants of health diagnosis compared with 31.9% (95% confidence interval 31.7, 32.0) (odds ratio 0.74; 95% confidence interval 0.71, 0.77) among patients without a social determinants of health diagnosis.

CONCLUSION

International Classification of Diseases Tenth Revision, Tenth Edition social determinants of health code use was low, with only 3.4% of patients having documentation of a socioeconomic and psychosocial circumstance. The presence of an International Classification of Diseases Tenth Revision, Tenth Edition social determinants of health code was not associated with greater odds of complications or death; however, it was associated with longer length of stay and higher odds of being discharged to a skilled nursing facility.

Case Sampling for Evaluating Hospital Postoperative Morbidity in US Surgical Quality Improvement Programs

Importance

US surgical quality improvement (QI) programs use data from a systematic sample of surgical cases, rather than universal review of all cases, to assess and compare risk-adjusted hospital postoperative complication rates. Given decreasing postoperative complication rates over time and the types of cases eligible for abstraction, it is unclear whether case sampling is robust for identifying hospitals with higher than expected complications.

Objective

To compare the assessment of hospital 30-day complication rates derived from sampling strategy used by some US surgical QI programs relative to universal review of all cases.

Design, Setting, and Participants

This US hospital-level analysis took place from January 1, 2016, through September 30, 2020. Data analysis was performed from July 1, 2022, through December 21, 2022. Quarterly, risk-adjusted, 30-day complication observed to expected (O-E) ratios were calculated for each hospital using the sample (n = 502 730) and universal review (n = 1 725 364). Outlier hospitals (ie, those with higher than expected mortality) were identified using an O-E ratio significantly greater than 1.0. Patients 18 years and older who underwent a noncardiac operation at US Department of Veterans Affairs (VA) hospitals with a record in the VA Surgical Quality Improvement Program (systematic sample) and the VA Corporate Data Warehouse surgical domain (100% of surgical cases) were included.

Main Outcome Measure

Thirty-day complications.

Results

Most patients in both the representative sample and the universal sample were men (90.2% vs 91.2%) and White (74.7% vs 74.5%). Overall, 30-day complication rates were 7.6% and 5.3% for the sample and universal review cohorts, respectively (P < .001). Over 2145 hospital quarters of data, hospitals were identified as an outlier in 15.0% of quarters using the sample and 18.2% with universal review. Average hospital quarterly complication rates were 4.7%, 7.2%, and 7.4% for outliers identified using the sample only, universal review only, and concurrent identification in both data sources, respectively. For nonsampled cases, average hospital quarterly complication rates were 7.0% at outliers and 4.4% at nonoutliers. Among outlier hospital quarters in the sample, 54.2% were concurrently identified with universal review. For those identified with universal review, 44.6% were concurrently identified using the sample.

Conclusion

In this observational study, case sampling identified less than half of hospitals with excess risk-adjusted postoperative complication rates. Future work is needed to ascertain how to best use currently collected data and whether alternative data collection strategies may be needed to better inform local QI efforts.

Association of ICD-10 Clinical Modification Codes for Social Determinants of Health with Surgical Outcomes and Hospital Charges Among Cancer Patients

INTRODUCTION

We sought to characterize the impact of social determinants of health (SDOH)-related codes on outcomes among patients with a cancer diagnosis.

METHODS

Patients diagnosed with lung, pancreas, colon, or rectal cancer between 2017 and 2020 were identified in the California Department of Healthcare Access and Information Patient Discharge Database. Data on concomitant SDOH-related codes (International Classification of Diseases, Tenth Revision [ICD-10] Z55-Z65) designating health hazards related to socioeconomic and psychosocial circumstances were obtained. The association of these SDOH codes with postoperative outcomes was evaluated.

RESULTS

Among 10,421 patients who underwent an operation from 2017 to 2020, median age was 66 years (interquartile range [IQR] 56-75) and nearly half of the cohort was male (n = 551,252.9%). In total, 102 (1%) patients had a concurrent ICD-10 SDOH diagnosis. After controlling for competing risk factors, the risk-adjusted probability of in-hospital death was 4.1% (95% confidence interval [CI] 1.0-7.2) among patients with an SDOH diagnosis compared with 2.9% (95% CI 2.5-3.2) among patients without an SDOH diagnosis (odds ratio [OR] 1.52, 95% CI 0.63-3.66; p = 0.258); postoperative complications were 27.0% (95% CI 20.0-34.1) compared with 24.9% (95% CI 24.1-25.6) among patients without an SDOH diagnosis (OR 1.15, 95% CI 0.73-1.82; p = 0.141), and length of stay was 10.6 days (95% CI 10.0-11.2) compared with 9.4 days (95% CI 9.3-9.5) among patients without an SDOH diagnosis. Patients with an SDOH diagnosis had a 5.19 (95% CI 3.23-8.34; p < 0.005) higher odds of being discharged to a skilled nursing facility versus patients without an SDOH diagnosis.

CONCLUSION

Uptake and utilization of ICD-10 SDOH was 1% among California patients with lung, pancreas, colon, or rectal cancer. Patients with a concomitant ICD-10 SDOH code had longer length of stay and had higher odds of being discharged to a skilled nursing facility.

What are the features of high-performing quality improvement collaboratives? A qualitative case study of a state-wide collaboratives programme

OBJECTIVES

Despite their widespread use, the evidence base for the effectiveness of quality improvement collaboratives remains mixed. Lack of clarity about 'what good looks like' in collaboratives remains a persistent problem. We aimed to identify the distinctive features of a state-wide collaboratives programme that has demonstrated sustained improvements in quality of care in a range of clinical specialties over a long period.

DESIGN

Qualitative case study involving interviews with purposively sampled participants, observations and analysis of documents.

SETTING

The Michigan Collaborative Quality Initiatives programme.

PARTICIPANTS

38 participants, including clinicians and managers from 10 collaboratives, and staff from the University of Michigan and Blue Cross Blue Shield of Michigan.

RESULTS

We identified five features that characterised success in the collaboratives programme: learning from positive deviance; high-quality coordination; high-quality measurement and comparative performance feedback; careful use of motivational levers; and mobilising professional leadership and building community. Rigorous measurement, securing professional leadership and engagement, cultivating a collaborative culture, creating accountability for quality, and relieving participating sites of unnecessary burdens associated with programme participation were all important to high performance.

CONCLUSIONS

Our findings offer valuable learning for optimising collaboration-based approaches to improvement in healthcare, with implications for the design, structure and resourcing of quality improvement collaboratives. These findings are likely to be useful to clinicians, managers, policy-makers and health system leaders engaged in multiorganisational approaches to improving quality and safety.

Case Sampling vs Universal Review for Evaluating Hospital Postoperative Mortality in US Surgical Quality Improvement Programs

Importance

Representative surgical case sampling, rather than universal review, is used by US Department of Veterans Affairs (VA) and private-sector national surgical quality improvement (QI) programs to assess program performance and to inform local QI and performance improvement efforts. However, it is unclear whether case sampling is robust for identifying hospitals with safety or quality concerns.

Objective

To evaluate whether the sampling strategy used by several national surgical QI programs provides hospitals with data that are representative of their overall quality and safety, as measured by 30-day mortality.

Design, Setting, and Participants

This comparative effectiveness study was a national, hospital-level analysis of data from adult patients (aged ≥18 years) who underwent noncardiac surgery at a VA hospital between January 1, 2016, and September 30, 2020. Data were obtained from the VA Surgical Quality Improvement Program (representative sample) and the VA Corporate Data Warehouse surgical domain (100% of surgical cases). Data analysis was performed from July 1 to December 21, 2022.

Main Outcomes and Measures

The primary outcome was postoperative 30-day mortality. Quarterly, risk-adjusted, 30-day mortality observed-to-expected (O-E) ratios were calculated separately for each hospital using the sample and universal review cohorts. Outlier hospitals (ie, those with higher-than-expected mortality) were identified using an O-E ratio significantly greater than 1.0.

Results

In this study of data from 113 US Department of Veterans Affairs hospitals, the sample cohort comprised 502 953 surgical cases and the universal review cohort comprised 1 703 140. The majority of patients in both the representative sample and the universal sample were men (90.2% vs 91.1%) and were White (74.7% vs 74.5%). Overall, 30-day mortality was 0.8% and 0.6% for the sample and universal review cohorts, respectively (P < .001). Over 2145 quarters of data, hospitals were identified as an outlier in 11.7% of quarters with sampling and in 13.2% with universal review. Average hospital quarterly 30-day mortality rates were 0.4%, 0.8%, and 0.9% for outlier hospitals identified using the sample only, universal review only, and concurrent identification in both data sources, respectively. For nonsampled cases, average hospital quarterly 30-day mortality rates were 1.0% at outlier hospitals and 0.5% at nonoutliers. Among outlier hospital quarters in the sample, 47.4% were concurrently identified with universal review. For those identified with universal review, 42.1% were concurrently identified using the sample.

Conclusions and Relevance

In this national, hospital-level study, sampling strategies employed by national surgical QI programs identified less than half of hospitals with higher-than-expected perioperative mortality. These findings suggest that sampling may not adequately represent overall surgical program performance or provide stakeholders with the data necessary to inform QI efforts.

Does Anesthesia Quality Improvement Participation Lead to Incremental Savings in a Surgical Quality Collaborative Population? A Retrospective Observational Study

BACKGROUND

The Anesthesiology Performance Improvement and Reporting Exchange (ASPIRE) Collaborative Quality Initiative (CQI) was launched as a partnership among hospitals to measure quality, review evidence-based practices, and improve anesthesia-related outcomes. Cost savings and improved patient outcomes have been associated with surgical CQI participation, but the impact of an anesthesia CQI on health care cost has not been thoroughly assessed. In this study, we evaluated whether participation in an anesthesia CQI led to health care savings. We hypothesized that ASPIRE participation is associated with reduced total episode payments for payers and major, high-volume procedures included in the Michigan Value Collaborative (MVC) registry.

METHODS

In this retrospective observational study, we compared MVC episode payment data from Group 1 ASPIRE hospitals, the first cluster of 8 Michigan hospitals to join ASPIRE in January 2015, to non-ASPIRE matched control hospitals. MVC computes price-standardized, risk-adjusted payments for patients insured by Blue Cross Blue Shield of Michigan Preferred Provider Organization, Blue Care Network Health Maintenance Organization, and Medicare Fee-for-Service plans. Episodes from 2014 comprised the pre-ASPIRE time period, and episodes from June 2016 to July 2017 constituted the post-ASPIRE time period. We performed a difference-in-differences analysis to evaluate whether ASPIRE implementation was associated with greater reduction in total episode payments compared to the change in the control hospitals during the same time periods.

RESULTS

We found a statistically significant reduction in total episode (-$719; 95% CI [-$1340 to -$97]; P = .023) payments at the 8 ASPIRE hospitals (N = 17,852 cases) compared to the change observed in 8 matched non-ASPIRE hospitals (N = 12,987 cases) for major, high-volume surgeries, including colectomy, colorectal cancer resection, gastrectomy, esophagectomy, pancreatectomy, hysterectomy, joint replacement (knee and hip), and hip fracture repair. In secondary analyses, 30-day postdischarge (-$354; 95% CI [-$582 to -$126]; P = .002) payments were also significantly reduced in ASPIRE hospitals compared to non-ASPIRE controls. Subgroup analyses revealed a significant reduction in total episode payments for joint replacements (-$860; 95% CI [-$1222 to -$499]; P < .001) at ASPIRE-participating hospitals. Sensitivity analyses including patient-level covariates also showed consistent results.

CONCLUSIONS

Participation in an anesthesiology CQI, ASPIRE, is associated with lower total episode payments for selected major, high-volume procedures. This analysis supports that participation in an anesthesia CQI can lead to reduced health care payments.

Risk-Adjusted Cumulative Sum for Early Detection of Hospitals With Excess Perioperative Mortality

Importance

National surgical quality improvement programs lack tools for early detection of quality or safety concerns, which risks patient safety because of delayed recognition of poor performance.

Objective

To compare the risk-adjusted cumulative sum (CUSUM) with episodic evaluation for early detection of hospitals with excess perioperative mortality.

Design, Setting, and Participants

National, observational, hospital-level, comparative effectiveness study of 697 566 patients. Identification of hospitals with excess, risk-adjusted, quarterly 30-day mortality using observed to expected ratios (ie, current criterion standard in the Veterans Affairs Surgical Quality Improvement Program) was compared with the risk-adjusted CUSUM. Patients included in the study underwent a noncardiac operation at a Veterans Affairs hospital, had a record in the Veterans Affairs Surgical Quality Improvement Program (January 1, 2011, through December 31, 2016), and were aged 18 years or older.

Main Outcome and Measure

Number of hospitals identified as having excess risk-adjusted 30-day mortality.

Results

The cohort included 697 566 patients treated at 104 hospitals across 24 quarters. The mean (SD) age was 60.9 (13.2) years, 91.4% were male, and 8.6% were female. For each hospital, the median number of quarters detected with observed to expected ratios, at least 1 CUSUM signal, and more than 1 CUSUM signal was 2 quarters (IQR, 1-4 quarters), 8 quarters (IQR, 4-11 quarters), and 3 quarters (IQR, 1-4 quarters), respectively. During 2496 total quarters of data, outlier hospitals were identified 33.3% of the time (830 quarters) with at least 1 CUSUM signal within a quarter, 12.5% (311 quarters) with more than 1 CUSUM signal, and 11.0% (274 quarters) with observed to expected ratios at the end of the quarter. The CUSUM detection occurred a median of 49 days (IQR, 25-63 days) before observed to expected ratio reporting (1 signal, 35 days [IQR, 17-54 days]; 2 signals, 49 days [IQR, 26-61 days]; 3 signals, 58 days [IQR, 44-69 days]; ≥4 signals, 49 days [IQR, 42-69 days]; trend test, P < .001). Of 274 hospital quarters detected with observed to expected ratios, 72.6% (199) were concurrently detected by at least 1 CUSUM signal vs 42.7% (117) by more than 1 CUSUM signal. There was a dose-response relationship between the number of CUSUM signals in a quarter and the median observed to expected ratio (0 signals, 0.63; 1 signal, 1.28; 2 signals, 1.58; 3 signals, 2.08; ≥4 signals, 2.49; trend test, P < .001).

Conclusions

This study found that with CUSUM, hospitals with excess perioperative mortality can be identified well in advance of standard end-of-quarter reporting, which suggests episodic evaluation strategies fail to detect out-of-control processes and place patients at risk. Continuous performance evaluation tools should be adopted in national quality improvement programs to prevent avoidable patient harm.

Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning

Background Carotid endarterectomy (CEA) is a major vascular operation for stroke prevention that carries significant perioperative risks; however, outcome prediction tools remain limited. The authors developed machine learning algorithms to predict outcomes following CEA. Methods and Results The National Surgical Quality Improvement Program targeted vascular database was used to identify patients who underwent CEA between 2011 and 2021. Input features included 36 preoperative demographic/clinical variables. The primary outcome was 30-day major adverse cardiovascular events (composite of stroke, myocardial infarction, or death). The data were split into training (70%) and test (30%) sets. Using 10-fold cross-validation, 6 machine learning models were trained using preoperative features. The primary metric for evaluating model performance was area under the receiver operating characteristic curve. Model robustness was evaluated with calibration plot and Brier score. Overall, 38 853 patients underwent CEA during the study period. Thirty-day major adverse cardiovascular events occurred in 1683 (4.3%) patients. The best performing prediction model was XGBoost, achieving an area under the receiver operating characteristic curve of 0.91 (95% CI, 0.90-0.92). In comparison, logistic regression had an area under the receiver operating characteristic curve of 0.62 (95% CI, 0.60-0.64), and existing tools in the literature demonstrate area under the receiver operating characteristic curve values ranging from 0.58 to 0.74. The calibration plot showed good agreement between predicted and observed event probabilities with a Brier score of 0.02. The strongest predictive feature in our algorithm was carotid symptom status. Conclusions The machine learning models accurately predicted 30-day outcomes following CEA using preoperative data and performed better than existing tools. They have potential for important utility in guiding risk-mitigation strategies to improve outcomes for patients being considered for CEA.

Formative evaluation of the development and implementation of the automated surveillance of postoperative infections tool

BACKGROUND

The gold standard for detecting postoperative complications uses databases like the American College of Surgeons National Surgical Quality Improvement Program, a multi-centered database based on manual chart review. However, their limitations and costs have led many centers to discontinue participation. Novel techniques to detect postoperative complications must be developed and implemented with surgeon involvement, which is paramount to their adoption. We sought to assess surgeons' opinions of a newly developed postoperative complication detection tool, the Automated Surveillance of Postoperative Infections, within the contextual clinical environment.

METHODS

This was a multi-site qualitative formative evaluation of surgeon perceptions of the Automated Surveillance of Postoperative Infections. We conducted semi-structured interviews and focus groups with surgeons and presented the Automated Surveillance of Postoperative Infections concept. Important domains and constructs, as categorized by Consolidated Framework for Implementation Research, were identified to support the successful adoption and implementation of the Automated Surveillance of Postoperative Infections.

RESULTS

Twenty-four surgeons with 10 surgical subspecialties were interviewed. The following 4 main themes were found: (1) perception of the Automated Surveillance of Postoperative Infections tool-to provide important data that can improve and support clinical outcomes; (2) environment for implementation-description of factors to support or impede implementation; (3) adaptability of the Automated Surveillance of Postoperative Infections-to work with the complexity of surgical cases; and (4) the Automated Surveillance of Postoperative Infections report format and details.

CONCLUSIONS

We successfully captured the perspectives and suggestions of surgeons to improve the Automated Surveillance of Postoperative Infections and potential barriers during the initial development phase. Barriers included fear of punitive action from reports and complex surgical cases. Facilitators identified were the need to improve clinical outcomes and organizational support. The results of this formative evaluation will be used to further develop Automated Surveillance of Postoperative Infections, starting with a prototype, the Automated Surveillance of Postoperative Infections 1.0.

Outcomes for High-Risk Surgical Procedures Across High- and Low-Competition Hospital Markets

Importance

Maintaining competition among hospitals is increasingly seen as important to achieving high-quality outcomes. Whether or not there is an association between hospital market competition and outcomes after high-risk surgery is unknown.

Objective

To evaluate whether there is an association between hospital market competition and outcomes after high-risk surgery.

Design, Setting, and Participants

We performed a retrospective study of Medicare beneficiaries who received care in US hospitals. Participants were 65 years and older who electively underwent 1 of 10 high-risk surgical procedures from 2015 to 2018: carotid endarterectomy, mitral valve repair, open aortic aneurysm repair, lung resection, esophagectomy, pancreatectomy, rectal resection, hip replacement, knee replacement, and bariatric surgery. Hospitals were categorized into high-competition and low-competition markets based on the hospital market Herfindahl-Hirschman index. Comparisons of 30-day mortality and 30-day readmissions were risk-adjusted using a multivariate logistic regression model adjusting for patient factors (age, sex, comorbidities, and dual eligibility), year of procedure, and hospital characteristics (nurse ratio and teaching status). Data were analyzed from May 2022 to March 2023.

Main Outcomes and Measures

Thirty-day postoperative mortality and readmissions.

Results

A total of 2 242 438 Medicare beneficiaries were included in the study. The mean (SD) age of the cohort was 74.1 (6.4) years, 1 328 946 were women (59.3%), and 913 492 were men (40.7%). When examined by procedure, compared with low-competition hospitals, high-competition market hospitals demonstrated higher 30-day mortality for 2 of 10 procedures (mitral valve repair: odds ratio [OR], 1.11; 95% CI, 1.07-1.14; and carotid endarterectomy: OR, 1.06; 95% CI, 1.03-1.09) and no difference for 5 of 10 procedures (open aortic aneurysm repair, bariatric surgery, esophagectomy, knee replacement, and hip replacement; ranging from OR, 0.97; 95% CI, 0.94-1.00, for hip replacement to OR, 1.09; 95% CI, 0.94-1.26, for bariatric surgery). High-competition hospitals also demonstrated 30-day readmissions that were higher for 5 of 10 procedures (open aortic aneurysm repair, knee replacement, mitral valve repair, rectal resection, and carotid endarterectomy; ranging from OR, 1.01; 95% CI, 1.00-1.02, for knee replacement to OR, 1.05; 95% CI, 1.02-1.08, for rectal resection) and no difference for 3 procedures (bariatric surgery: OR, 1.03; 95% CI, 0.99-1.07; esophagectomy: OR, 1.02; 95% CI, 0.99-1.06; and pancreatectomy: OR, 1.00; 95% CI, 0.99-1.01). Hospitals in high-competition compared with low-competition markets cared for patients who were older (mean [SD] age of 74.4 [6.6] years vs 74.0 [6.2] years, respectively; P < .001), were more likely to be racial and ethnic minority individuals (77 322/450 404 [17.3%] vs 23 328/444 900 [5.6%], respectively; P < .001), and had more comorbidities (≥2 Elixhauser comorbidities, 302 415/450 404 [67.1%] vs 284 355/444 900 [63.9%], respectively; P < .001).

Conclusions and Relevance

This study found that hospital market competition was not consistently associated with improved outcomes after high-risk surgery. Efforts to maintain hospital market competition may not achieve better postoperative outcomes.

Association of Health Professional Shortage Area Hospital Designation With Surgical Outcomes and Expenditures Among Medicare Beneficiaries

OBJECTIVE

To compare surgical outcomes and expenditures at hospitals located in Health Professional Shortage Areas to nonshortage area designated hospitals among Medicare beneficiaries.

BACKGROUND

More than a quarter of Americans live in federally designated Health Professional Shortage Areas. Although there is growing concern that medical outcomes may be worse, far less is known about hospitals providing surgical care in these areas.

METHODS

Cross-sectional retrospective study from 2014 to 2018 of 842,787 Medicare beneficiary patient admissions to hospitals with and without Health Professional Shortage Area designations for common operations including appendectomy, cholecystectomy, colectomy, and hernia repair. We assessed risk-adjusted outcomes using multivariable logistic regression accounting for patient factors, admission type, and year were compared for each of the 4 operations. Hospital expenditures were price-standardized, risk-adjusted 30-day surgical episode payments. Primary outcome measures included 30-day mortality, hospital readmissions, and 30-day surgical episode payments.

RESULTS

Patients (mean age=75.6 years, males=44.4%) undergoing common surgical procedures in shortage area hospitals were less likely to be White (84.6% vs 88.4%, P <0.001) and less likely to have≥2 Elixhauser comorbidities (75.5% vs 78.2%, P <0.001). Patients undergoing surgery at Health Professional Shortage Area hospitals had lower risk-adjusted rates of 30-day mortality (6.05% vs 6.69%, odds ratio=0.90, CI, 0.90-0.91, P <0.001) and readmission (14.99% vs 15.74%, odds ratio=0.94, CI, 0.94-0.95, P <0.001). Medicare expenditures at Health Professional Shortage Area hospitals were also lower than nonshortage designated hospitals ($28,517 vs $29,685, difference= -$1168, P <0.001).

CONCLUSIONS

Patients presenting to Health Professional Shortage Area hospitals obtain safe care for common surgical procedures without evidence of higher expenditures among Medicare beneficiaries. These findings should be taken into account as current legislative proposals to increase funding for care in these underserved communities are considered.

Surgical Procedures at Critical Access Hospitals Within Hospital Networks

OBJECTIVE

To compare surgical outcomes and expenditures at critical access hospitals that do versus do not participate in a hospital network among Medicare beneficiaries.

BACKGROUND

Critical access hospitals provide essential care to more than 80 million Americans. These hospitals, often rural, are located more than 35 miles away from another hospital and are required to maintain patient transfer agreements with other facilities capable of providing higher levels of care. Some critical access hospitals have gone further to formally participate in a hospital network.

METHODS

This was a cross-sectional retrospective study from 2014 to 2018 comparing 16,128 Medicare beneficiary admissions for appendectomy, cholecystectomy, colectomy, or hernia repair at critical access hospitals that do versus do not participate in a hospital network. Thirty-day mortality and readmissions were risk adjusted using multivariable logistic regression accounting for patient and hospital factors. Price-standardized, risk-adjusted Medicare expenditures were compared for the 30-day total episode payments consisting of index hospitalization, physician services, readmissions, and postacute care payments.

RESULTS

Beneficiaries (average age = 75.7 years, SD = 7.4) who obtained care at critical access hospitals in a hospital network were more likely to carry ≥2 Elixhauser comorbidities (68.7% vs. 62.8%, P < 0.001). Rates of 30-day mortality were higher at critical access hospitals in a hospital network (4.30% vs. 3.81%, OR = 1.11, P < 0.001). Similarly, readmission rates were higher at critical access hospitals that were in a hospital network (15.13% vs. 14.34%, OR = 1.06, P < 0.001). Additionally, total episode payments were found to be $960 higher per patient at critical access hospitals that were in a hospital network ($23,878 vs. $22,918, P < 0.001).

CONCLUSIONS

Critical access hospitals within hospital networks provided care to more medically complex patients and were associated with worse clinical outcomes and higher costs among Medicare beneficiaries undergoing common general surgery operations.

High-risk surgery among Medicare beneficiaries living in health professional shortage areas

PURPOSE

Americans who reside in health professional shortage areas currently have less than half of the needed physician workforce. While the shortage designation has been associated with poor outcomes for chronic medical conditions, far less is known about outcomes after high-risk surgical procedures.

METHODS

We performed a retrospective review of Medicare beneficiaries living in health professional shortage areas and nonshortage areas who underwent abdominal aortic aneurysm repair, coronary artery bypass graft, esophagectomy, liver resection, pancreatectomy, or rectal resection between 2014 and 2018. Risk-adjusted multivariable logistic regression was used to determine whether rates of postoperative complications and 30-day mortality differed between patient cohorts. Beneficiary and hospital ZIP codes were used to quantify travel time to obtain care.

FINDINGS

Compared with patients living in nonshortage areas, patients living in health professional shortage areas traveled longer (median 60.0 vs 28.0 minutes, P<.001). There were no differences in risk-adjusted rates of complications (28.5% vs 28.6%, OR = 1.00, 95% CI 1.00-1.00, P = .59) and small differences in rates of 30-day mortality (4.2% vs 4.4%, OR = 0.95, 95% CI 0.95-0.95, P<.001) between beneficiaries living in shortage areas versus those not in shortage areas, respectively.

CONCLUSIONS

Patients living in health professional shortage area undergoing high-risk surgery traveled more than 2 times longer for their care to obtain similar outcomes. While reassuring for clinical outcomes, additional efforts may be needed to mitigate the travel burden experienced by shortage area patients.

Coronary Artery Bypass Surgery Among Medicare Beneficiaries in Health Professional Shortage Areas

OBJECTIVE

Health professional shortage areas (HPSAs) were created by the Health Resources and Services Administration to identify communities with a shortage of clinical providers. For medical conditions, these designations are associated with worse outcomes. However, far less is known about patients undergoing high-complexity surgical procedures, such as coronary artery bypass grafting (CABG).

BACKGROUND

The aim was to compare postoperative surgical outcomes of high-complexity surgery in beneficiaries living in HPSA versus non-HPSA designated areas.

METHODS

This study is a retrospective cohort review of Medicare beneficiaries who underwent CABG between 2014 and 2018. The authors compared risk-adjusted 30-day mortality, complication, reoperation, and readmission rates for beneficiaries living in a designated HPSA versus non-HPSA using a multivariable logistic regression model accounting for patient (eg, age, sex, comorbidities, surgery year) and hospital characteristics (eg, patient-to-nurse ratio, teaching status). Patient travel burden was measured based on the time and distance required to travel from the beneficiary's home zip code to the hospital zip code.

RESULTS

Of the 370,532 Medicare beneficiaries who underwent CABG, 30,881 (8.3%) lived in a HPSA. Beneficiaries in HPSAs were found to experience comparable 30-day mortality (3.50% vs. 3.65%, P <0.001), complication (32.67% vs. 33.54%, P <0.001), reoperation (1.58% vs. 1.66%, P <0.001), and readmission (14.72% vs. 14.86%, P <0.001) rates. Beneficiaries experienced greater mean travel times (91.2 vs. 64.0 minutes, P <0.001) and mean travel distances (85.0 vs. 59.3 miles, P <0.001).

CONCLUSIONS

Medicare beneficiaries living in designated HPSA experienced comparable surgical outcomes after CABG surgery but a significantly greater travel burden. The greater travel burden experienced by patients living in designated shortage areas to obtain comparable surgical care for complex procedures demonstrates important tradeoffs between access and quality.

Development and Validation of a Machine Learning Model to Identify Patients Before Surgery at High Risk for Postoperative Adverse Events

Importance

Identifying patients at high risk of adverse outcomes prior to surgery may allow for interventions associated with improved postoperative outcomes; however, few tools exist for automated prediction.

Objective

To evaluate the accuracy of an automated machine-learning model in the identification of patients at high risk of adverse outcomes from surgery using only data in the electronic health record.

Design, Setting, and Participants

This prognostic study was conducted among 1 477 561 patients undergoing surgery at 20 community and tertiary care hospitals in the University of Pittsburgh Medical Center (UPMC) health network. The study included 3 phases: (1) building and validating a model on a retrospective population, (2) testing model accuracy on a retrospective population, and (3) validating the model prospectively in clinical care. A gradient-boosted decision tree machine learning method was used for developing a preoperative surgical risk prediction tool. The Shapley additive explanations method was used for model interpretability and further validation. Accuracy was compared between the UPMC model and National Surgical Quality Improvement Program (NSQIP) surgical risk calculator for predicting mortality. Data were analyzed from September through December 2021.

Exposure

Undergoing any type of surgical procedure.

Main Outcomes and Measures

Postoperative mortality and major adverse cardiac and cerebrovascular events (MACCEs) at 30 days were evaluated.

Results

Among 1 477 561 patients included in model development (806 148 females [54.5%; mean [SD] age, 56.8 [17.9] years), 1 016 966 patient encounters were used for training and 254 242 separate encounters were used for testing the model. After deployment in clinical use, another 206 353 patients were prospectively evaluated; an additional 902 patients were selected for comparing the accuracy of the UPMC model and NSQIP tool for predicting mortality. The area under the receiver operating characteristic curve (AUROC) for mortality was 0.972 (95% CI, 0.971-0.973) for the training set and 0.946 (95% CI, 0.943-0.948) for the test set. The AUROC for MACCE and mortality was 0.923 (95% CI, 0.922-0.924) on the training and 0.899 (95% CI, 0.896-0.902) on the test set. In prospective evaluation, the AUROC for mortality was 0.956 (95% CI, 0.953-0.959), sensitivity was 2148 of 2517 patients (85.3%), specificity was 186 286 of 203 836 patients (91.4%), and negative predictive value was 186 286 of 186 655 patients (99.8%). The model outperformed the NSQIP tool as measured by AUROC (0.945 [95% CI, 0.914-0.977] vs 0.897 [95% CI, 0.854-0.941], for a difference of 0.048), specificity (0.87 [95% CI, 0.83-0.89] vs 0.68 [95% CI, 0.65-0.69]), and accuracy (0.85 [95% CI, 0.82-0.87] vs 0.69 [95% CI, 0.66, 0.72]).

Conclusions and Relevance

This study found that an automated machine learning model was accurate in identifying patients undergoing surgery who were at high risk of adverse outcomes using only preoperative variables within the electronic health record, with superior performance compared with the NSQIP calculator. These findings suggest that using this model to identify patients at increased risk of adverse outcomes prior to surgery may allow for individualized perioperative care, which may be associated with improved outcomes.

"The reputation premium": does hospital ranking improvement lead to a higher healthcare spending?

Global health systems have often disclosed hospital quality and performance information via hospital ranking or rating programs over the last 20 years. This study aims to examine the relationship between hospital ranking and healthcare spending. Using the Basic Medical Insurance claims data from a big city in central China and the hospital ranking data from the Fudan Chinese Hospital League Table from 2016 to 2018, this study exploits the variation of hospital reputable ranking across hospitals and periods to employ the difference-in-differences (DiD) design. To alleviate the self-selection bias emerging from inpatients' selection of hospitals and the extrapolation bias emerging from the potential mis-specification of our linear model, we combine the DiD design with the 3-to-1 optimal Mahalanobis metric matching method. This study finds that ceteris paribus one hospital ascending from the Regional Famous Hospital Group to the National Famous Hospital Group significantly increases inpatients' total healthcare costs, reimbursement costs, and out-of-pocket costs by 5.9%, 6.2%, and 4.0%, respectively. Mechanism analysis reveals that it should be attributed more to physician moral hazard than patient willingness-to-pay. Leads and lags (event study) analysis validates our DiD identification framework and shows that the impact materializes slowly but significantly. In the robustness check, we transfer the outcome variables from the log value to the level value and control five digits of ICD-10 for the disease fixed-effects. The results are highly robust.

Association of Surgical Resident Competency Ratings With Patient Outcomes

PURPOSE

Accurate assessment of clinical performance is essential to ensure graduating residents are competent for unsupervised practice. The Accreditation Council for Graduate Medical Education milestones framework is the most widely used competency-based framework in the United States. However, the relationship between residents' milestones competency ratings and their subsequent early career clinical outcomes has not been established. It is important to examine the association between milestones competency ratings of U.S. general surgical residents and those surgeons' patient outcomes in early career practice.

METHOD

A retrospective, cross-sectional study was conducted using a sample of national Medicare claims for 23 common, high-risk inpatient general surgical procedures performed between July 1, 2015, and November 30, 2018 (n = 12,400 cases) by nonfellowship-trained U.S. general surgeons. Milestone ratings collected during those surgeons' last year of residency (n = 701 residents) were compared with their risk-adjusted rates of mortality, any complication, or severe complication within 30 days of index operation during their first 2 years of practice.

RESULTS

There were no associations between mean milestone competency ratings of graduating general surgery residents and their subsequent early career patient outcomes, including any complication (23% proficient vs 22% not yet proficient; relative risk [RR], 0.97, [95% CI, 0.88-1.08]); severe complication (9% vs 9%, respectively; RR, 1.01, [95% CI, 0.86-1.19]); and mortality (5% vs 5%; RR, 1.07, [95% CI, 0.88-1.30]). Secondary analyses yielded no associations between patient outcomes and milestone ratings specific to technical performance, or between patient outcomes and composites of operative performance, professionalism, or leadership milestones ratings ( P ranged .32-.97).

CONCLUSIONS

Milestone ratings of graduating general surgery residents were not associated with the patient outcomes of those surgeons when they performed common, higher-risk procedures in a Medicare population. Efforts to improve how milestones ratings are generated might strengthen their association with early career outcomes.

The Role of Surgery in Oligometastatic Retroperitoneal Sarcoma

Retroperitoneal sarcomas are extremely rare, comprising <15% of primary sarcomas. Distant metastasis occurs in about 20% of cases, with pulmonary and hepatic metastasis as the most common sites of hematogenous spread. Although surgical resection is well established as the main treatment of localized primary disease, there are limited guidelines for the surgical treatment of intra-abdominal and distant metastases. There are inadequate systemic treatment options for patients with metastatic sarcoma, thereby necessitating the consideration of surgical options in carefully selected patients. Key points to consider include tumor biology, patient fitness and co-morbidities, overall prognosis, and goals of care. Multidisciplinary sarcoma tumor board discussion for each case is an essential practice in order to deliver the best care to these patients. The purpose of this review is to summarize the published literature on the past and present role of surgery in the treatment of oligometastatic retroperitoneal sarcoma in order to inform the management of this difficult disease.

Building infrastructure to teach quality improvement

With growing emphasis on healthcare quality improvement (QI) at both national and local levels, there has been increased demand for instructional programs to teach quality improvement as a discipline. Design of QI teaching programs must take into account local resources as well as the background and competing commitments of the learner.  In this article, we review elements of successful quality improvement training programs including structure of didactic and experiential curricula. Special considerations for training programs at the undergraduate and graduate medical, hospital, and national/professional society level are presented.

Children's surgery verification and value-based care in pediatric surgery

With the prevailing focus on increasing value in healthcare, understanding the different components of the value equation is of primary importance. Michael E. Porter's writings on the value agenda and the use of integrated practice units (IPUs) have provided easy correlation to adult disease entities with large populations sharing common pathways and providers in the diagnosis and care of these patients. In pediatric surgery, with smaller populations and larger numbers of rare or unique conditions and anatomic challenges, utilizing the concept of an IPU is more challenging. The literature has generally shown the improvements in quality of care through participation in various programs through the American College of Surgeons (ACS) such as trauma verification, or the National Surgical Quality Improvement Project (NSQIP), but that participation alone does not guarantee better outcomes. Use of these programs in conjunction with participation in quality collaboratives have tended to show favorable returns on investment for these programs. We seek to demonstrate how the Children's Surgery Verification (CSV) program provides pediatric surgeons an effective vehicle with which to engage the value agenda, evaluating and improving care over the care continuum in order to improve the function of children's hospitals as larger integrated units.

Achieving an optimal textbook outcome following pancreatic resection: The impact of surgeon specific experience in achieving high quality outcomes

BACKGROUND

The interplay of patient-, procedural, and provider-level factors on the ability to achieve a textbook outcome(TO) remain poorly defined.

METHODS

The Medicare Standard Analytical Files from 2013 to 2017 were used to identify beneficiaries who underwent pancreatic surgery. Multivariable logistic regression with mixed effects was used to examine the role of the individual surgeon relative to patient- and procedural-factors to achieve a TO.

RESULTS

Among 20,902 patients who underwent pancreatic resection, median age was 72 years (IQR:68-77); roughly one-half of the cohort was female(47,4%) and the majority was White (89.3%). After controlling for patient- and procedure-related characteristics, there was 35% variation in odds of experiencing a TO relative to the specific individual surgeon who performed the operation (OR:1.35, 95%CI:1.29-1.41). Patients who underwent pancreatectomy by a bottom TO quartile surgeon had a higher observed/expected ratio for each component of TO including post-operative complication (OR:2.62, 95%CI:2.11-3.25), prolonged LOS (OR:3.36, 95%CI:2.67-4.22), 90-day readmission (OR:2.08, 95%CI:1.68-2.56), and 90-day mortality (OR:3.29, 95% CI:2.35-4.63) compared with patients treated by a high TO quartile surgeon.

CONCLUSION

The likelihood of achieving a TO after pancreatic resection was markedly influenced by the individual treating surgeon even after controlling for patient- and procedure-level factors.

Development of the Illinois Surgical Quality Improvement Collaborative (ISQIC): Implementing 21 Components to Catalyze Statewide Improvement in Surgical Care

INTRODUCTION

In 2014, 56 Illinois hospitals came together to form a unique learning collaborative, the Illinois Surgical Quality Improvement Collaborative (ISQIC). Our objectives are to provide an overview of the first three years of ISQIC focused on (1) how the collaborative was formed and funded, (2) the 21 strategies implemented to support quality improvement (QI), (3) collaborative sustainment, and (4) how the collaborative acts as a platform for innovative QI research.

METHODS

ISQIC includes 21 components to facilitate QI that target the hospital, the surgical QI team, and the peri-operative microsystem. The components were developed from available evidence, a detailed needs assessment of the hospitals, reviewing experiences from prior surgical and non-surgical QI Collaboratives, and interviews with QI experts. The components comprise 5 domains: guided implementation (e.g., mentors, coaches, statewide QI projects), education (e.g., process improvement (PI) curriculum), hospital- and surgeon-level comparative performance reports (e.g., process, outcomes, costs), networking (e.g., forums to share QI experiences and best practices), and funding (e.g., for the overall program, pilot grants, and bonus payments for improvement).

RESULTS

Through implementation of the 21 novel ISQIC components, hospitals were equipped to use their data to successfully implement QI initiatives and improve care. Formal (QI/PI) training, mentoring, and coaching were undertaken by the hospitals as they worked to implement solutions. Hospitals received funding for the program and were able to work together on statewide quality initiatives. Lessons learned at one hospital were shared with all participating hospitals through conferences, webinars, and toolkits to facilitate learning from each other with a common goal of making care better and safer for the surgical patient in Illinois. Over the first three years, surgical outcomes improved in Illinois.

DISCUSSION

The first three years of ISQIC improved care for surgical patients across Illinois and allowed hospitals to see the value of participating in a surgical QI learning collaborative without having to make the initial financial investment themselves. Given the strong support and buy-in from the hospitals, ISQIC has continued beyond the initial three years and continues to support QI across Illinois hospitals.

Medicare Advantage: A Disadvantage for Complex Cancer Surgery Patients

PURPOSE

Nearly half of all Medicare beneficiaries are enrolled in privatized Medicare insurance plans (Medicare Advantage [MA]). Little comparative information is available about access, outcomes, and cost of inpatient cancer surgery between MA and Traditional Medicare (TM) beneficiaries. We set out to assess and compare access, postoperative outcomes, and estimated cost of inpatient cancer surgery among MA and TM beneficiaries.

METHODS

Retrospective cohort analysis of MA or TM beneficiaries undergoing elective inpatient cancer surgery (for cancers located in lung, esophagus, stomach, pancreas, liver, colon, or rectum) was performed using the Office of Statewide Health Planning Inpatient Database linked to California Cancer Registry from 2000 to 2020. For each cancer site, risk-standardized access to high-volume hospitals, postoperative 30-day mortality, complications, failure to rescue, and surgery-specific estimated costs were compared between MA and TM beneficiaries.

RESULTS

This analysis of 76,655 Medicare beneficiaries (median age 74 years, 51% female, 39% MA) included 31,913 colectomies, 10,358 proctectomies, 4,604 hepatectomies, 2,895 pancreatectomies, 3,639 gastrectomies, 1,555 esophagectomies, and 21,691 lung resections. Except for colon surgery, MA beneficiaries were less likely to receive care at a high-volume hospital. Mortality was significantly higher among MA beneficiaries (v TM) for gastrectomy (adjusted risk difference [ARD], 1.5%; 95% CI, 0.01 to 2.9; P = .036), pancreatectomy (ARD, 2.0%; CI, 0.80 to 3.3; P = .002), and hepatectomy (ARD, 1.4%; 95% CI, 0.1 to 2.9; P = .04). By contrast, compared with TM, MA beneficiaries incurred lower estimated hospital costs.

CONCLUSION

Enrollment in MA plan is associated with lower estimated hospital costs. However, compared with TM, MA beneficiaries had lower access to high-volume hospitals and increased 30-day mortality for stomach, pancreas, or liver surgery.

Comparing Kidney Transplant Rates and Outcomes Among Adults With and Without Intellectual and Developmental Disabilities

Importance

Improving equity in organ transplant access for people with intellectual and developmental disabilities (IDD) is a topic of social discourse in mainstream media, state legislation, and national legislation. However, few studies have compared evaluation rates, transplant rates, and outcomes among adults with and without IDD.

Objective

To compare rates of kidney transplant and transplant-specific outcomes between propensity-score matched groups of adults with end-stage kidney disease (ESKD [also referred to as end-stage renal disease (ESRD)]) with and without co-occurring IDD.

Design, Setting, and Participants

This retrospective cohort study included all Medicare inpatient and outpatient standard analytical files from 2013 through 2020. A total of 1 413 655 adult Medicare beneficiaries with ESKD were identified. Propensity-score matching was used to balance cohorts based on age, sex, race, follow-up duration, and Charlson Comorbidity Index. The matched cohorts consisted of 21 384 adults with ESKD (10 692 of whom had IDD) and 1258 kidney transplant recipients (629 of whom had IDD). Data were analyzed between June 1, 2022, and August 1, 2022.

Exposure

IDD.

Main Outcomes and Measures

Evaluation for kidney transplant, receipt of kidney transplant, perioperative complications, readmission, mortality, graft rejection, and graft failure.

Results

Of the 21 384 propensity-score matched adults with ESKD, the median (IQR) age was 55 (43-65) years, 39.2% were male, 27.4% were Black, 64.1% were White, and 8.5% identified as another race or ethnicity. After propensity score matching within the ESKD cohort, 633 patients with IDD (5.9%) received a kidney transplant compared with 1367 of adults without IDD (12.8%). Adults with IDD were 54% less likely than matched peers without IDD to be evaluated for transplant (odds ratio, 0.46; 95% CI, 0.43-0.50) and 62% less likely to receive a kidney transplant (odds ratio, 0.38; 95% CI, 0.34-0.42). Among matched cohorts of kidney transplant recipients, rates of perioperative complications, readmission, and graft failure were similar for adults with and without IDD.

Conclusions and Relevance

Using the largest cohort of adult kidney transplant recipients with IDD to date, the study team found that rates of evaluation and transplant were lower despite yielding equivalent outcomes. These data support consideration of adults with IDD for kidney transplant and underscore the urgent need for antidiscrimination initiatives to promote the receipt of equitable care for this population.

The Benefits of Benchmarking-A New Perspective on Measuring Quality in Surgery

This Viewpoint discusses benchmarking as a new means to assess surgical quality.

Association of Hospital Quality and Neighborhood Deprivation With Mortality After Inpatient Surgery Among Medicare Beneficiaries

Importance

Although the hospital at which a patient is treated is a known source of variation in mortality after inpatient surgery, far less is known about how the neighborhoods from which patients come may also contribute.

Objective

To compare postoperative mortality among Medicare beneficiaries based on the level of neighborhood deprivation where they live and hospital quality where they received care.

Design, Setting, and Participants

This cross-sectional study examined outcomes among Medicare beneficiaries undergoing 1 of 5 common surgical procedures (colon resection, coronary artery bypass, cholecystectomy, appendectomy, or incisional hernia repair) between 2014 and 2018. Hospital quality was assigned using the Centers for Medicare & Medicaid Services Star Rating. Each beneficiary's neighborhood was identified at the census tract level and sorted in quintiles based on its Area Deprivation Index score, a composite measure of neighborhood quality, including education, employment, and housing quality. A risk matrix across hospital quality and neighborhood deprivation was created to determine the relative contribution of each to mortality after surgery. Data were analyzed from June 1 to December 31, 2021.

Exposures

Hospital quality and neighborhood deprivation.

Main Outcomes and Measures

The main outcome was risk-adjusted 30-day mortality after surgery using a multivariable logistic regression model taking into account patient factors and procedure type.

Results

A total of 1 898 829 Medicare beneficiaries (mean [SD] age, 74.8 [7.0] years; 961 216 [50.6%] male beneficiaries; 28 432 [1.5%] Asian, 145 160 [77%] Black, and 1 622 304 [86.5%] White beneficiaries) were included in analyses. Patients from all neighborhood deprivation group quintiles sought care at hospitals across hospital quality levels. For example, 9.1% of patients from the highest deprivation neighborhoods went to a hospital in the highest star rating of quality and 4.2% of patients from the lowest deprivation neighborhoods went to a hospital in the lowest star rating of quality. Thirty-day risk-adjusted mortality varied across high- and low-quality hospitals (4.3% vs 7.2%; adjusted odds ratio [aOR], 1.78; 95% CI, 1.66-1.92) and across the least and most deprived neighborhoods (4.5% vs 6.8%; aOR, 1.58; 95% CI, 1.53-1.64). When combined, comparing patients from the least deprived neighborhoods going to high-quality hospitals vs patients from the most deprived neighborhoods going to low-quality hospitals, the variation increased further (3.8% vs 8.1%; aOR, 2.20; 95% CI, 1.96-2.46).

Conclusions and Relevance

These findings suggest that characteristics of a patient's neighborhood and the hospital where they received treatment were both associated with risk of death after commonly performed inpatient surgical procedures. The associations of these factors on mortality may be additive. Efforts and investments to address variation in postoperative mortality should include both hospital quality improvement as well as addressing drivers of neighborhood deprivation.

Social Vulnerability and Emergency General Surgery among Medicare Beneficiaries

BACKGROUND

Although the Social Vulnerability Index (SVI) was created to identify vulnerable populations after unexpected natural disasters, its ability to identify similar groups of patients undergoing unexpected emergency surgical procedures is unknown. We sought to examine the association between SVI and outcomes after emergency general surgery.

STUDY DESIGN

This study is a cross-sectional review of 887,193 Medicare beneficiaries who underwent 1 of 4 common emergency general surgery procedures (appendectomy, cholecystectomy, colectomy, and ventral hernia repair) performed in the urgent or emergent setting between 2014 and 2018. These data were merged with the SVI at the census-track level of residence. Risk-adjusted outcomes (30-day mortality, serious complications, readmission) were evaluated using a logistic regression model accounting for age, sex, comorbidity, year, procedure type, and hospital characteristics between high and low social vulnerability quintiles and within the 4 SVI subthemes (socioeconomic status; household composition and disability; minority status and language; and housing type and transportation).

RESULTS

Compared with beneficiaries with low social vulnerability, Medicare beneficiaries living in areas of high social vulnerability experienced higher rates of 30-day mortality (8.56% vs 8.08%; adjusted odds ratio 1.07; p < 0.001), serious complications (20.71% vs 18.40%; adjusted odds ratio 1.17; p < 0.001), and readmissions (16.09% vs 15.03%; adjusted odds ratio 1.08; p < 0.001). This pattern of differential outcomes was present in subgroup analysis of all 4 SVI subthemes but was greatest in the socioeconomic status and household composition and disability subthemes.

CONCLUSIONS

National efforts to support patients with high social vulnerability from natural disasters may be well aligned with efforts to identify communities that are particularly vulnerable to worse postoperative outcomes after emergency general surgery. Policies targeting structural barriers related to household composition and socioeconomic status may help alleviate these disparities.

Significant Reduction in Short-Term Complications Following Unicompartmental Versus Total Knee Arthroplasty: A Propensity Score Matched Analysis

BACKGROUND

Total knee arthroplasty (TKA) is a gold standard surgical treatment for end-stage arthritis and unicompartmental knee arthroplasty (UKA) is an alternative for localized disease in appropriate patients. Both have been shown to have equivalent complications in the short-term period. We aimed to explore the differences in 30-day complication rates between UKA and TKA using recent data.

METHODS

Current Procedural Terminology codes identified patients in the American College of Surgeons National Surgical Quality Improvement Program database who underwent primary TKA or UKA from 2014 to 2018. Propensity score matching addressed demographic differences. Rate of any adverse event (AAE) and complications were compared.

RESULTS

We identified 279,852 patients with 270,786 and 9,066 undergoing TKA and UKA. No significant difference was observed in baseline demographics after matching. The AAE rate differed significantly between TKA (5.07%) and UKA (2.38%) cohorts (P < .001). TKA group experienced more wound dehiscence, cerebrovascular accident, postoperative blood transfusion, deep vein thrombosis, and requirement for postoperative intubation. Rate of extended length of stay differed between the TKA (11.35%) and UKA (4.89%) cohorts (P < .001). Accounting for all other variables, preoperative corticosteroid use, bleeding disorder, and chronic obstructive pulmonary disease increased the risk for AAE for both groups. Increasing American Society of Anesthesiologists class also increased the odds for complication proportionally with increasing age and operative time.

CONCLUSION

Contrary to previous data, we found a significantly higher 30-day complication rate in TKA patients. TKA patients had a higher likelihood of having an extended length of stay. Multivariable analysis identified preoperative steroid use, bleeding disorder, and chronic obstructive pulmonary disease as risk factors for developing adverse events for both groups.

LEVEL OF EVIDENCE

Level III.

Emergency Surgery Rates Among Medicare Beneficiaries With Access Sensitive Surgical Conditions

INTRODUCTION

Access sensitive surgical conditions should be treated electively with optimal access but result in emergency operations when access is limited. However, the rates of emergency procedures for these conditions are unknown.

METHODS

Cross-sectional retrospective review of Medicare beneficiaries who underwent access sensitive surgical procedures (abdominal aortic aneurysm repair, colectomy for colorectal cancer, or incisional hernia repair) between 2014 and 2018. Risk-adjusted outcomes using a multivariable logistical regression that adjusted for patient factors (age, sex, race, and Elixhauser comorbidities), hospital characteristics (ownership, size, geographic region, surgical volume) and type of operation were compared between planned and emergency (urgent and emergent) surgical procedures. Outcome measures were rates of emergency procedures as well as associated postoperative outcomes.

RESULTS

Of the 744,818 Medicare beneficiaries undergoing access sensitive surgical procedures, 259,541 (34.9%) were done in the emergency setting. Risk-adjusted rates of emergency surgery varied widely across hospital service areas from 23.28% (lowest decile) to 54.88% (highest decile) (Odds Ratio 4.74; P < 0.001). Emergency procedures were associated with significantly higher rates of 30-d mortality (8.15% versus 3.65%, P < 0.001) and readmissions (16.28% versus 12.88%, P < 0.001) compared to elective procedures. Sensitivity analysis with younger and healthier beneficiaries demonstrated persistently high rates (23.3%) of emergency surgery with wide regional variation and worse patient outcomes.

CONCLUSIONS

Emergency surgery for access sensitive surgical conditions is extremely common and varied almost fivefold across United States hospital service areas. This suggests there are opportunities to improve access for these common surgical conditions.

Value in acute care surgery, part 2: Defining and measuring quality outcomes

ABSTRACT

The prior article in this series delved into measuring cost in acute care surgery, and this subsequent work explains in detail how quality is measured. Specifically, objective quality is based on outcome measures, both from administrative and clinical registry databases from a multitude of sources. Risk stratification is key in comparing similar populations across diseases and procedures. Importantly, a move toward focusing on subjective outcomes like patient-reported outcomes measures and financial well-being are vital to evolving surgical quality measures for the 21st century.

Medicare accountable care organizations: post-acute care use and post-surgical outcomes in urologic cancer surgery

OBJECTIVES

To evaluate association between Medicare accountable care organizations (ACOs) participation of hospitals on post-acute care (PAC) use and spending, and post-surgical outcomes in Medicare beneficiaries undergoing urologic cancer surgeries. Despite increasing prevalence of urologic cancer and surgical care contributing to a large proportion of total health care costs, and recent Medicare payment reforms such as accountable care organizations, the role of ACOs in urologic cancer care has been unexplored.

METHODS

We conducted a longitudinal analysis of 2011-2017 Medicare claims data to compare post-surgical outcomes between Medicare ACO and non-ACO patients before and after implementation of Medicare shared savings program (MSSP). Our outcomes of interest were Post-acute care (PAC) use (overall, institutional, and home health), Skilled Nursing Facility (SNF) length of stay and Medicare spending for SNF patients, 30-day and 90-day unplanned readmissions and complications after index procedure.

RESULTS

Study sample included a total of 334,514 Medicare patients undergoing bladder, prostate, kidney cancer surgeries at 524 Medicare ACO and 2066 non-ACO hospitals. For bladder cancer surgery, Medicare ACO participation was associated with significantly reduced overall post-acute care use, but not with changes in readmission or complication rate. For prostate cancer and kidney cancer surgery, we found no significant association between hospital participation in Medicare ACOs and PAC use or post-surgical outcomes.

CONCLUSIONS

Hospital participation in MSSP ACOs leads to lower post-acute care use without compromising patient outcomes for Medicare beneficiaries undergoing bladder cancer surgery. Future research is needed to understand longer-term impact of ACO participation on urologic cancer surgery outcomes.

A novel machine learning approach to identify social risk factors associated with textbook outcomes after surgery

BACKGROUND

Identifying social determinants of health has become a priority for many researchers, health care providers, and payers. The vast amount of patient and population-level data available on social determinants creates, however, both an opportunity and a challenge as these data can be difficult to synthesize and analyze.

METHODS

Medicare beneficiaries who underwent 1 of 4 common operations between 2013 and 2017 were identified. Using a machine learning algorithm, the primary independent variable, surgery social determinants of health index, was derived from 15 common, publicly available social determents of health measures. After development of a surgery social determinants of health index, multivariable logistic regression was used to estimate the association of this index with textbook outcomes, as well as the component metrics of textbook outcomes.

RESULTS

A novel surgery social determinants of health index was developed with factor component weights that varied relative to their impact on postoperative outcomes. Factors with the highest weight in the algorithm relative to postoperative outcomes were the proportion of noninstitutionalized civilians with a disability and persons without high school diploma, while components with the lowest weights were the proportion of households with more people than rooms and persons below poverty. Overall, an increase in surgery social determinants of health index was associated with 6% decreased odds (95% confidence interval: 0.93-0.94) of achieving a textbook outcome. In addition, an increase in surgery social determinants of health index was associated with increased odds of each of the individual components of textbook outcome; ranging from 3% increased odds (95% confidence interval: 1.03-1.04) for 90-day readmission to 10% increased odds (95% confidence interval: 1.09-1.11) for 90-day mortality. Further, there was 6% increased odds (95% confidence interval: 1.05-1.07) of experiencing a complication and 7% increased odds (95% confidence interval: 1.06-1.07) of having an extended length of stay. Minority patients from a high surgery social determinants of health index had 38% lower odds (95% confidence interval: 0.60-0.65) of achieving a textbook outcome compared with White/non-Hispanic patients from a low surgery social determinants of health index area.

CONCLUSION

Using a machine learning approach, we developed a novel social determents of health index to predict the probability of achieving a textbook outcome after surgery.