Impact of Medicaid Expansion on Abdominal Surgery Morbidity, Mortality, and Hospital Readmission.

INTRODUCTION: Medicaid expansion's (ME) impact on postoperative outcomes after abdominal surgery remains poorly defined. We aimed to evaluate ME's effect on surgical morbidity, mortality, and readmissions in a state that expanded Medicaid (Virginia) compared to a state that did not (Tennessee) over the same time period. METHODS: Virginia Surgical Quality Collaborative (VSQC) American College of Surgeons National Surgical Quality Improvement Program data for Medicaid, uninsured, and private insurance patients undergoing abdominal procedures before Virginia's ME (3/22/18-12/31/18) were compared with post-ME (1/1/19-12/31/19), as were corresponding non-ME state Tennessee Surgical Quality Collaborative (TSQC) data for the same 2018 and 2019 time periods. Postexpansion odds ratios for 30-d morbidity, 30-d mortality, and 30-d unplanned readmission were estimated using propensity score-adjusted logistic regression models. RESULTS: In Virginia, 4753 abdominal procedures, 2097 pre-ME were compared to 2656 post-ME. In Tennessee, 5956 procedures, 2484 in 2018 were compared to 3472 in 2019. VSQC's proportion of Medicaid population increased following ME (8.9% versus 18.8%, P < 0.001) while uninsured patients decreased (20.4% versus 6.4%, P < 0.001). Post-ME VSQC had fewer 30-d readmissions (12.2% versus 6.0%, P = 0.013). Post-ME VSQC Medicaid patients had significantly lower probability of morbidity (-8.18, 95% confidence interval: -15.52 ∼ -0.84, P = 0.029) and readmission (-6.92, 95% confidence interval: -12.56 ∼ -1.27, P = 0.016) compared to pre-ME. There were no differences in probability of morbidity or readmission in the TSQC Medicaid population between study periods (both P > 0.05); there were no differences in mortality between study periods in VSQC and TSQC patient populations (both P > 0.05). CONCLUSIONS: ME was associated with decreased 30-d morbidity and unplanned readmissions in the VSQC. Data-driven policies accounting for ME benefits should be considered.

Early Patient Discharge in Selected Patients is Not Associated With Higher Readmission After Major Abdominal Operations.

OBJECTIVE: Our objective was to examine the associations between early discharge and readmission after major abdominal operations. BACKGROUND: Advances in patient care resulted in earlier patient discharge after complex abdominal operations. Whether early discharge is associated with patient readmissions remains controversial. METHODS: Patients who had colorectal, liver, and pancreas operations abstracted in 2011-2017 American College of Surgeons National Surgical Quality Improvement Program Participant Use Data Files were included. Patient readmission was stratified by 6 operative groups. Patients who were discharged before median discharge date within each operative group were categorized as an early discharge. Analyses tested associations between early discharge and likelihood of 30-day postoperative unplanned readmission. RESULTS: A total of 364,609 patients with major abdominal operations were included. Individual patient groups and corresponding median day of discharge were: laparoscopic colectomy (n = 152,575; median = 4), open colectomy (n =137,462; median = 7), laparoscopic proctectomy (n = 12,238; median = 5), open proctectomy (n = 24,925; median = 6), major hepatectomy (n = 9,805; median = 6), pancreatoduodenectomy (n = 27,604; median = 8). Early discharge was not associated with an increase in proportion of readmissions in any operative group. Early discharge was associated with a decrease in average proportion of patient readmissions compared to patients discharged on median date in each of the operative groups: laparoscopic colectomy 6% versus 8%, open colectomy 11% versus 14%, laparoscopic proctectomy 13% versus 16%, open proctectomy 13% vs 17%, major hepatectomy 8% versus 12%, pancreatoduodenectomy 16% versus 20% (all P ≤ 0.02). Serious morbidity composite was significantly lower in patients who were discharged early than those who were not in each operative group (all P < 0.001). CONCLUSIONS: Early discharge in selected patients after major abdominal operations is associated with lower, and not higher, rate of 30-day unplanned readmission.

Defining and Studying Errors in Surgical Care: A Systematic Review.

OBJECTIVE: Our objective was to determine the extent surgical disciplines categorize, define, and study errors, then use this information to provide recommendations for both current practice and future study. SUMMARY OF BACKGROUND DATA: The report "To Err is Human" brought the ubiquity of medical errors to public attention. Variability in subsequent literature suggests the true prevalence of error remains unknown. METHODS: In January 2020, PubMed, the Cochrane Database of Systematic Reviews, and the Cochrane Central Register of Controlled Trials were searched. Only studies with Oxford Level of Evidence Level 3 or higher were included. RESULTS: Of 3064 studies, 92 met inclusion criteria: 6 randomized controlled trials, 4 systematic reviews, 24 cohort, 10 before-after, 35 outcome/audit, 5 cross sectional and 8 case-control studies. Over 15,933,430 patients and 162,113 errors were represented. There were 6 broad error categories, 13 different definitions of error, and 14 study methods. CONCLUSIONS: Reported prevalence of error varied widely due to a lack of standardized categorization, definitions, and study methods. Future research should focus on immediately recognizing errors to minimize harm.

Socioeconomic "Distressed Communities Index" Improves Surgical Risk-adjustment.

OBJECTIVE: We hypothesize the Distressed Communities Index (DCI), a composite socioeconomic ranking by ZIP code, will predict risk-adjusted outcomes after surgery. SUMMARY OF BACKGROUND DATA: Socioeconomic status affects surgical outcomes; however, the American College of Surgeons National Surgery Quality Improvement Program (ACS NSQIP) database does not account for these factors. METHODS: All ACS NSQIP patients (17,228) undergoing surgery (2005 to 2015) at a large academic institution were paired with the DCI, which accounts for unemployment, education level, poverty rate, median income, business growth, and housing vacancies. Developed by the Economic Innovation Group, DCI scores range from 0 (no distress) to 100 (severe distress). Multivariable regressions were used to evaluate ACS NSQIP predicted risk-adjusted effect of DCI on outcomes and inflation-adjusted hospital cost. RESULTS: A total of 4522 (26.2%) patients came from severely distressed communities (top quartile). These patients had higher rates of medical comorbidities, transfer from outside hospital, emergency status, and higher ACS NSQIP predicted risk scores (all P < 0.05). In addition, these patients had greater resource utilization, increased postoperative complications, and higher short- and long-term mortality (all P < 0.05). Risk-adjustment with multivariate regression demonstrated that DCI independently predicts postoperative complications (odds ratio 1.1, P = 0.01) even after accounting for ACS NSQIP predicted risk score. Furthermore, DCI independently predicted inflation-adjusted cost (+$978/quartile, P < 0.0001) after risk adjustment. CONCLUSIONS: The DCI, an established metric for socioeconomic distress, improves ACS NSQIP risk-adjustment to predict outcomes and hospital cost. These findings highlight the impact of socioeconomic status on surgical outcomes and should be integrated into ACS NSQIP risk models.

Safety of Major Abdominal Operations in the Elderly: A Study of Geriatric-Specific Determinants of Health.

BACKGROUND: Preoperative assessment of geriatric-specific determinants of health may enhance perioperative risk stratification among elderly patients. This study examines effects of geriatric-specific variables on postoperative outcomes in patients undergoing elective major abdominal operations. METHODS: Patients included in the ACS NSQIP pilot Geriatric Surgery Research File program who underwent elective pancreatic, liver, and colorectal operations between 2014 and 2016 were examined. Multivariable analyses were performed to evaluate associations between patient-specific geriatric variables and risk of death, morbidity, readmission, and discharge destination. RESULTS: A total of 4165 patients were included. Patients ≥85 years were more likely to die, experience postoperative morbidity, and be discharged to a facility (all p ≤ 0.039) than younger patients. Preoperatively, patients ≥85 years were more likely to use a mobility aid, have a prior fall, have consent signed by a surrogate, and to live alone at home prior to operation (all p < 0.001). After adjustment for ACS NSQIP-estimated probabilities of morbidity or mortality, no geriatric-specific preoperative risk factors were significantly associated with increased risk of death or complications in any age group (all p > 0.055). Patients 75-84 and ≥85 years were more likely to be discharged to facility (OR 2.33 and 4.75, respectively, both p < 0.001) compared to patients 65-74 years. All geriatric-specific variables: use of mobility aid, living alone, consent signed by a surrogate, and fall history, were significantly associated with discharge to a facility (all p ≤ 0.001). CONCLUSIONS: After adjusting for comorbid conditions, geriatric-specific variables are not associated with postoperative mortality and morbidity among elderly patients; however, geriatric-specific variables are significantly associated with discharge to a facility.

Observations on Surgeons' Case Selection, Morbidity, and Mortality Following Board Certification.

OBJECTIVE: The purpose of this study is to determine if patient selection varies based on years of surgical practice. BACKGROUND: The impact of hospital and surgeon volume as a marker of experience has demonstrated an inverse association with surgical outcomes. However, temporal measures of experience often demonstrate no effect. Additionally, a self-reporting survey demonstrated decreasing case complexity over time, suggesting that changes in patient selection may account for some of these observed discrepancies. METHODS: General surgery cases at a single tertiary care center reported to the American College of Surgeons National Surgical Quality Improvement Program over a 10-year period were identified. Additionally general surgery cases from the ACS NSQIP 2008 PUF data were used to create risk models for any complications, 30-day mortality, or a composite complication or mortality outcome. These models then estimated risk for our local data. Years of experience after American Board of Surgery certification were calculated for each surgeon for each case. Multivariate linear regression, controlling for surgeon clustering, was used to determine the association between years of surgical experience and preoperative risk of complications and mortality. RESULTS: Eighteen thousand six hundred and eighty eight cases were identified from our institution. Surgeons selected patients of increasing operative risk until 15 years of practice before selecting lower risk patients throughout the rest of their career. After adjusting for risk, no association was observed between years from board certification and mortality. However, there was a trend toward decreasing complication rates with increasing experience. CONCLUSIONS: Surgical experience significantly impacts patient selection. Surgeons with over 25 years of experience had lower complication rates. Experience had no impact on mortality.

Judgment Errors in Surgical Care.

BACKGROUND: Human error is impossible to eliminate, particularly in systems as complex as healthcare. The extent to which judgment errors in particular impact surgical patient care or lead to harm is unclear. STUDY DESIGN: The American College of Surgeons NSQIP (2018) procedures from a single institution with 30-day morbidity or mortality were examined. Medical records were reviewed and evaluated for judgment errors. Preoperative variables associated with judgment errors were examined using logistic regression. RESULTS: Of the surgical patients who experienced a morbidity or mortality, 18% (31 of 170) experienced an error in judgment during their hospitalization. Patients with hepatobiliary procedure (odds ratio [OR] 5.4 [95% CI 1.23 to 32.75], p = 0.002), insulin-dependent diabetes (OR 4.8 [95% CI 1.2 to 18.8], p = 0.025), severe COPD (OR 6.0 [95% CI 1.6 to 22.1], p = 0.007), or with infected wounds (OR 8.2 [95% CI 2.6 to 25.8], p < 0.001) were at increased risk for judgment errors. CONCLUSIONS: Specific procedure types and patients with certain preoperative variables had higher risk for judgment errors during their hospitalization. Errors in judgment adversely impacted the outcomes of surgical patients who experienced morbidity or mortality in this cohort. Preventing or mitigating errors and closely monitoring patients after an error in judgment is prudent and may improve surgical safety.

Pediatric surgical errors: A systematic scoping review.

BACKGROUND: Medical errors were largely concealed prior to the landmark report "To Err Is Human". The purpose of this systematic scoping review was to determine the extent pediatric surgery defines and studies errors, and to explore themes among papers focused on errors in pediatric surgery. METHODS: The methodological framework used to conduct this scoping study has been outlined by Arksey and O'Malley. In January 2020, PubMed, the Cochrane Database of Systematic Reviews, and the Cochrane Central Register of Controlled Trials were searched. Oxford Level of Evidence was assigned to each study; only studies rated Level 3 or higher were included. RESULTS: Of 3,064 initial studies, 12 were included in the final analysis: 4 cohort studies, and 8 outcome/audit studies. This data represented 5,442,000 aggregate patients and 8,893 errors. There were 6 different error definitions and 5 study methods. Common themes amongst the studies included a systems-focused approach, an increase in errors seen with increased complexity, and studies exploring the relationship between error and adverse events. CONCLUSIONS: This study revealed multiple error definitions, multiple error study methods, and common themes described in the pediatric surgical literature. Opportunities exist to improve the safety of surgical care of children by reducing errors. Original Scientific Research Type of Study: Systematic Scoping Review Level of Evidence Rating: 1.

Specialty-Specific Readmission Risk Models Outperform General Models in Estimating Hepatopancreatobiliary Surgery Readmission Risk.

BACKGROUND: Readmissions are costly and inconvenient for patients, and occur frequently in hepatopancreatobiliary (HPB) surgery practice. Readmission prediction tools exist, but most have not been designed or tested in the HPB patient population. METHODS: Pancreatectomy and hepatectomy operation-specific readmission models defined as subspecialty readmission risk assessments (SRRA) were developed using clinically relevant data from merged 2014-15 ACS NSQIP Participant Use Data Files and Procedure Targeted datasets. The two derived procedure-specific models were tested along with 6 other readmission models in institutional validation cohorts in patients who had pancreatectomy or hepatectomy, respectively, between 2013 and 2017. Models were compared using area under the receiver operating characteristic curves (AUC). RESULTS: A total of 16,884 patients (9169 pancreatectomy and 7715 hepatectomy) were included in the derivation models. A total of 665 patients (383 pancreatectomy and 282 hepatectomy) were included in the validation models. Specialty-specific readmission models outperformed general models. AUC characteristics of the derived pancreatectomy and hepatectomy SRRA (pancreatectomy AUC=0.66, hepatectomy AUC=0.74), modified Readmission After Pancreatectomy (AUC=0.76), and modified Readmission Risk Score for hepatectomy (AUC=0.78) outperformed general models for readmission risk: LOS/2 + ASA integer-based score (pancreatectomy AUC=0.58, hepatectomy AUC=0.66), LACE Index (pancreatectomy AUC=0.54, hepatectomy AUC=0.62), Unplanned Readmission Nomogram (pancreatectomy AUC=0.52, hepatectomy AUC=0.55), and institutional ARIA (pancreatectomy AUC=0.46, hepatectomy AUC=0.58). CONCLUSION: HPB readmission risk models using 30-day subspecialty-specific data outperform general readmission risk tools. Hospitals and practices aiming to decrease readmissions in HPB surgery patient populations should use specialty-specific readmission reduction strategies.

Association of Geriatric-Specific Variables with 30-Day Hospital Readmission Risk of Elderly Surgical Patients: A NSQIP Analysis.

BACKGROUND: Elderly patients (65 years of age and older) undergo an increasing number of operations performed annually in the US and they present with unique healthcare needs. Preventing postoperative readmission remains an important challenge to improving surgical care. This study examined whether geriatric-specific variables were independently associated with postoperative readmissions of elderly patients. METHODS: The American College of Surgeons (ACS) Geriatric Surgery Research File (GSRF) was joined with the ACS NSQIP Participant Use Data Files for 2014 to 2016. This data set included 13 GSRF variables and 26 ACS NSQIP variables. Associations between clinically relevant variables and readmission were tested with multivariable logistic regression. RESULTS: The data represented 6,039 general surgery patients age 65 years and older. Fifty-eight percent of patients had colorectal operations, 19% pancreatic or hepatobiliary, 15% hernia, 4% thyroid or esophageal, and 3% had appendix operations. Twenty-four percent of patients experienced an NSQIP-defined 30-day postoperative complication and 3% died within 30 days after operation. Eleven percent of patients had unplanned 30-day readmission. Standard NSQIP variables, including 30-day composite morbidity (odds ratio [OR] 5.11; 95% CI, 4.24 to 6.16; p < 0.001), reoperation (OR 2.8; 95% CI, 2.07 to 3.79; p < 0.001), and steroid use (1.42; 95% CI, 1.03 to 1.96; p = 0.03) were associated with readmission. In addition, GSRF variables, including incompetent on admission (OR 1.63; 95% CI, 1.11 to 2.38; p = 0.01), fall risk at discharge (OR 1.42; 95% CI, 1.11 to 1.82; p = 0.005), use of mobility aid (OR 1.26; 95% CI, 1.02 to 1.56; p = 0.03), and discharged home with skilled care (OR, 1.22; 95% CI, 1.0 to 1.49; p = 0.04) were associated with readmission. CONCLUSIONS: Four GSRF and 3 current standard ACS NSQIP variables were important in the evaluation of postoperative readmission of elderly patients. Geriatric-specific variables contributed to the explanation of the relationship between clinical variables and readmissions in elderly surgical patients.

Surgical errors and the relationships of disease, risks, and adverse events.

BACKGROUND: Relationships between surgical errors and adverse events have not been fully explored and were examined in this study. MATERIALS AND METHODS: This retrospective cohort study reviewed records of deceased surgical patients over 12 months. Bivariate associations between predictors and errors were examined. RESULTS: 84 deaths occurred following 5,209 operations. Errors in care (63%) compared to those without had significantly more adverse events, (98% vs 80% respectively, p = 0.004). Significant association occurred between error and emergency status, p = 0.016); length of stay >10 days, p = 0.011; adverse events, p = 0.005). Regression results indicated number of adverse events (OR = 1.27, 95% CI (1.08-1.49), p = 0.003) and length of stay (OR = 1.05, 95% CI (1.01-1.09), p = 0.008) were associated with surgical errors. CONCLUSIONS: Examining postoperative adverse events in error cases identified opportunities for improvement. Reducing medical errors requires measuring medical errors.

Community level socioeconomic status association with surgical outcomes and resource utilisation in a regional cohort: a prospective registry analysis.

BACKGROUND: Socioeconomic status affects surgical outcomes, however these factors are not included in clinical quality improvement data and risk models. We performed a prospective registry analysis to determine if the Distressed Communities Index (DCI), a composite socioeconomic ranking by zip code, could predict risk-adjusted surgical outcomes and resource utilisation. METHODS: All patients undergoing surgery (n=44,451) in a regional quality improvement database (American College of Surgeons-National Surgical Quality Improvement Program ACS-NSQIP) were paired with DCI, ranging from 0-100 (low to high distress) and accounting for unemployment, education level, poverty rate, median income, business growth and housing vacancies. The top quartile of distress was compared to the remainder of the cohort and a mixed effects modeling evaluated ACS-NSQIP risk-adjusted association between DCI and the primary outcomes of surgical complications and resource utilisation. RESULTS: A total of 9369 (21.1%) patients came from severely distressed communities (DCI >75), who had higher rates of most medical comorbidities as well as transfer status (8.4% vs 4.8%, p<0.0001) resulting in higher ACS-NSQIP predicted risk of any complication (8.0% vs 7.1%, p<0.0001). Patients from severely distressed communities had increased 30-day mortality (1.8% vs 1.4%, p=0.01), postoperative complications (9.8% vs 8.5%, p<0.0001), hospital readmission (7.7 vs 6.8, p<0.0001) and resource utilisation. DCI was independently associated with postoperative complications (OR 1.07, 95% CI 1.04 to 1.10, p<0.0001) as well as resource utilisation after adjusting for ACS-NSQIP predicted risk CONCLUSION: Increasing Distressed Communities Index is associated with increased postoperative complications and resource utilisation even after ACS-NSQIP risk adjustment. These findings demonstrate a disparity in surgical outcomes based on community level socioeconomic factors, highlighting the continued need for public health innovation and policy initiatives.

Individual Surgeon's Contribution to Value.

Estimating surgeon-level value in health care remains relatively unexplored. American College of Surgeons National Surgical Quality Improvement Program Participant Use Files (2005-2013) were linked with total costs at a single institution. Random intercepts in 3-level random effects logistic regression models predicted 30-day postoperative mortality or morbidity for each surgeon each year. Value was defined as quality (morbidity or mortality) divided by costs for surgeons performing general surgery and vascular procedures. Forty-four surgeons performed 11 965 surgeries. Risk-adjusted costs trended down over time. For all surgeries, mortality value increased by 3.27 per year (95% confidence interval = 2.54-4.01; P < .001) on a 100-point scale, while morbidity value did not change. Of 21 surgeons with data for 5 years or longer, mortality value increased for all surgeons except one. Continuous increase in complication rates from 2008 contributed to decreased morbidity value. Value may assist surgeons in exploring performance opportunities better than morbidity or mortality alone.

Observations on the Medicare Value-Based Ranking of Hospitals During Fiscal Years 2015 and 2016.

Medicare's Value-Based Purchasing Program (VBPP) compensates hospitals based on value of care provided. VBPP's total performance score (TPS) components data were evaluated by hospital groups: physician-owned surgical hospitals (POSH), Kaiser Hospitals, University HealthSystem Consortium Hospitals, Pioneer Accountable Care Organization Hospitals, US News and World Report Honor Roll Hospitals, and other hospitals. Multilevel random coefficient models estimated mean and significance of TPS differences from fiscal year (FY) 2015 and FY 2016, by hospital type. Overall mean TPS for 2985 hospitals decreased from 41.65 to 40.25. POSH and Kaiser Hospitals had significantly higher TPS in FY 2015 and FY 2016. POSH Patient Experience Domain scores exceeded all other Patient Experience Domain scores. The Efficiency Domain scores of Kaiser greatly exceeded the scores of all groups. Results suggest that POSH and Kaiser Hospitals provide significantly greater value of care with consistency from year to year when compared with other groups studied.

Development and Validation of Procedure-Specific Risk Score for Predicting Postoperative Pulmonary Complication: A NSQIP Analysis.

BACKGROUND: Postoperative pulmonary complications (PPCs; unplanned reintubation, postoperative pneumonia, and failure to liberate from mechanical ventilation within 48 hours), contribute significantly to increased rates of morbidity and mortality. Procedure type is an important factor that contributes risk in generalized PPC prediction models. The objective of this study was to develop and validate procedure-specific risk scores for the 6 procedures with the highest rates of PPCs. STUDY DESIGN: American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Participant Use File data (2005 to 2015) for patients undergoing pancreatectomy, hepatectomy, esophagectomy, abdominal aortic aneurysm repair, open aortoiliac repair, and lung resection were used for analysis. Multivariable logistic regression was used to develop pulmonary complications risk scores (PCRS) for each procedure. Youden indices were used to identify cutoff points within each PCRS and were further validated using a random selection of the original NSQIP dataset collected. RESULTS: Twenty-one variables were included in the initial analysis, which yielded unique relative risk score models for each procedure. Within all the risk score models, long operative time (within the last quartile) was a strong predictor of PPCs. An increased rate of PPCs was associated with increasing PCRS values in both the training and validation samples for all procedures. CONCLUSIONS: Important variables were identified for 6 common procedures that yield an increased risk of PPCs. These variables differed by procedure type, outlining the importance of procedure-specific risk scores. Each procedure-specific PCRS developed in this study can be used by health care professionals to better predict the risk of PPCs and to optimize patient outcomes.

Multicenter Observational Study Examining the Implementation of Enhanced Recovery Within the Virginia Surgical Quality Collaborative in Patients Undergoing Elective Colectomy.

BACKGROUND: The American College of Surgeons (ACS) NSQIP Virginia Surgical Quality Collaborative (VSQC) exists to improve surgical outcomes through multi-institutional collaboration. Enhanced recovery (ER) protocols improve morbidity and reduce length of stay (LOS) after elective surgery. We hypothesized implementation of ER through VSQC would reduce postoperative complications and LOS in patients undergoing elective colectomy. Our objective was to evaluate whether standardization of care based on evidenced-based practices in healthcare settings across multiple institutions improved outcomes. STUDY DESIGN: In 2013, VSQC incrementally implemented ER for patients undergoing elective colectomy at participating institutions. Institutions shared protocols, order sets, educational materials, and met semi-annually to discuss progress. Risk-adjusted ACS NSQIP data (January 1, 2012 through December 31, 2016) was queried in 4 participating hospitals. The association of ER with surgical outcomes was evaluated with a before and after ER implementation analysis and multivariable logistic regression modeling with a priori selection of clinically relevant variables. RESULTS: There were 2,438 consecutive colectomies included in analysis (1,035 pre-ER/1,403 post-ER). In the post-ER implementation patient cohort, relatively more patients were treated laparoscopically (68%) compared with the pre-ER cohort (52%) (p < 0.001). Median LOS decreased from 5 to 4 days after ER implementation in patients undergoing open colectomy (p < 0.001), although total complications were similar in frequency (23% vs 22%). Laparoscopic patients had a reduced LOS (4 vs 3 days; p < 0.001), 30-day readmissions (12% vs 8%; p = 0.01), and total complications (16% vs 9%; p < 0.001) after ER implementation. In multivariable models, American Society of Anesthesiologists Physical Status Classification, hypertension, smoking, ER, and laparoscopy were independently associated with complication risk. CONCLUSIONS: Implementation of ER across VSQC was associated with reduction in LOS and complications in patients undergoing elective laparoscopic colectomy.

Successful implementation of the Department of Veterans Affairs' National Surgical Quality Improvement Program in the private sector: the Patient Safety in Surgery study.

BACKGROUND: The Veterans Affairs' (VA) National Surgical Quality Improvement Program (NSQIP) has been associated with significant reductions in postoperative morbidity and mortality. We sought to determine if NSQIP methods and risk models were applicable to private sector (PS) hospitals and if implementation of the NSQIP in the PS would be associated with reductions in adverse postoperative outcomes. METHODS: Data from patients (n = 184,843) undergoing major general or vascular surgery between October 1, 2001, and September 30, 2004, in 128 VA hospitals and 14 academic PS hospitals were used to develop prediction models based on VA patients only, PS patients only, and VA plus PS patients using logistic regression modeling, with measures of patient-related risk as the independent variables and 30-day postoperative morbidity or mortality as the dependent variable. RESULTS: Nine of the top 10 predictors of postoperative mortality and 7 of the top 10 for postoperative morbidity were the same in the VA and PS models. The ratios of observed to expected mortality and morbidity in the PS hospitals based on a model using PS data only versus VA + PS data were nearly identical (correlation coefficient = 0.98). Outlier status of PS hospitals was concordant in 26 of 28 comparisons. Implementation of the NSQIP in PS hospitals was associated with statistically significant reductions in overall postoperative morbidity (8.7%, P = 0.002), surgical site infections (9.1%, P = 0.02), and renal complications (23.7%, P = 0.004). CONCLUSIONS: The VA NSQIP methods and risk models in general and vascular surgery were fully applicable to PS hospitals. Thirty-day postoperative morbidity in PS hospitals was reduced with the implementation of the NSQIP.

The negative effect of perioperative red blood cell transfusion on morbidity and mortality after major abdominal operations.

BACKGROUND: This study aims to test associations between perioperative blood transfusion and postoperative morbidity and mortality after major abdominal operations. METHODS: The 2014 ACS NSQIP dataset was queried for all patients who underwent one of the ten major abdominal operations. Separate multivariable regression models, were developed to evaluate the independent effects of perioperative blood transfusion on morbidity and mortality. RESULTS: Of 48,854 patients in the study cohort, 4887 (10%) received a blood transfusion. Rates of transfusion ranged from 4% for laparoscopic gastrointestinal resection to 58% for open AAA. After adjusting for significant effects of NSQIP-estimated probabilities, transfusion was independently associated with morbidity and mortality after open AAA repair (OR = 1.99/14.4 respectively, p ≤ 0.010), esophagectomy (OR = 2.80/3.0, p < 0.001), pancreatectomy (OR = 1.88/3.01, p < 0.001), hepatectomy (OR = 2.82/5.78, p < 0.001), colectomy (OR = 2.15/3.17, p < 0.001), small bowel resection (OR = 2.81/3.83, p ≤ 0.004), and laparoscopic gastrointestinal operations (OR = 2.73/4.05, p < 0.001). CONCLUSIONS: Perioperative blood transfusion is independently associated with an increased risk of morbidity and mortality after most major abdominal operations.

Resident-Specific Morbidity Reduced Following ACS NSQIP Data-Driven Quality Program.

BACKGROUND: The Accreditation Council for Graduate Medical Education Milestone Project for general surgery provided a more robust method for developing and tracking residents' competence. This framework enhanced systematic and progressive development of residents' competencies in surgical quality improvement. STUDY DESIGN: A 22-month interactive, educational program based on resident-specific surgical outcomes data culminated in a quality improvement project for postgraduate year 4 surgery residents. Self- assessment, quality knowledge test, and resident-specific American College of Surgeons National Surgical Quality Improvement Program Quality In-Training Initiative morbidity were compared before and after the intervention. RESULTS: Quality in-training initiative morbidity decreased from 25% (82/325) to 18% (93/517), p = 0.015 despite residents performing more complex cases. All participants achieved level 4 competency (4/4) within the general surgery milestones improvement of care, practice-based learning and improvement competency. Institutional American College of Surgeons National Surgical Quality Improvement Program general surgery morbidity improved from the ninth to the sixth decile. Quality assessment and improvement self-assessment postintervention scores (M = 23.80, SD = 4.97) were not significantly higher than preintervention scores (M = 19.20, SD = 5.26), p = 0.061. Quality Improvement Knowledge Application Tool postintervention test scores (M = 17.4, SD = 4.88), were not significantly higher than pretest scores (M = 13.2, SD = 1.92), p = 0.12. CONCLUSION: Sharing validated resident-specific clinical data with participants was associated with improved surgical outcomes. Participating fourth year surgical residents achieved the highest score, a level 4, in the practice based learning and improvement competency of the improvement of care practice domain and observed significantly reduced surgical morbidity for cases in which they participated.