IMPORTANCE Increasing use of robotic surgery for common surgical procedures with limited evidence and unclear clinical benefit is raising concern. Analyses of population-based trends in practice and how hospitals' acquisition of robotic surgical technologies is associated with their use are limited. OBJECTIVE To characterize trends in the use of robotic surgery for common surgical procedures.

Core muscle size is an independent and potentially important preoperative risk factor. The techniques used to assess preoperative CT scans, namely analytic morphomics, may represent a novel approach to better understanding patient risk.

SUMMARY Preoperative risk assessment, particularly for patient frailty, remains largely subjective. This study evaluated the relationship between core muscle size and patient outcomes following esophagectomy for malignancy. Using preoperative computed tomography scans in 230 subjects who had undergone transhiatal esophagectomy for cancer between 2001 and 2010, lean psoas area (LPA), measured at the fourth lumbar vertebra, was determined. Cox proportional hazards regression was employed to analyze overall survival (OS) and disease-free survival (DFS) adjusted for age, gender, and stage, and the Akaike information criterion was used to determine each covariate contribution to OS and DFS. Univariate analysis demonstrated that increasing LPA correlated with both OS (P = 0.017) and DFS (P = 0.038). In multivariate analysis controlling for patient and tumor characteristics, LPA correlated with OS and DFS in patients who had not received neoadjuvant treatment (n = 64), with higher LPA associated with improved OS and DFS. Moreover, LPA was of equivalent, or slightly higher importance than pathologic stage. These measures were not predictive among patients (n = 166) receiving neoadjuvant chemoradiation. Core muscle size appears to be an independent predictor of both OS and DFS, as significant as tumor stage, in patients following transhiatal esophagectomy. Changes in muscle mass related to preoperative treatment may confound this effect. Assessment of core muscle size may provide an additional objective measure for risk stratification prior to undergoing esophagectomy.

Objective To determine the effect of hospital characteristics on failure to rescue after high-risk surgery in Medicare Beneficiaries. Summary Background Data Reducing failure to rescue events is a common quality target for U.S. hospitals. Little is known about which hospital characteristics influence this phenomenon and more importantly by how much. Methods We identified 1,945,802 Medicare beneficiaries undergoing one of six high-risk general or vascular operations between 2007-10. Using multilevel mixed-effects logistic regression modeling, we evaluated how failure to rescue rates were influenced by specific hospital characteristics previously associated with postsurgical outcomes. We used variance partitioning to determine the relative influence of patient and hospital characteristics on the between-hospital variability in failure to rescue rates. Results Failure to rescue rates varied up to 11-fold between very high and very low mortality hospitals. Comparing the highest and lowest mortality hospitals, we observed that teaching status (range: OR 1.08-1.54), high hospital technology (range: OR 1.08-1.58), increasing nurse-to-patient ratio (range: OR 1.02-1.14), and presence of >20 ICU beds (range: OR 1.09-1.62) significantly influenced failure to rescue rates for all procedures. When taken together, hospital and patient characteristics accounted for 12% (lower extremity revascularization) to 57% (esophagectomy) of the observed variation in failure to rescue rates across hospitals. Conclusions While several hospital characteristics are associated with lower failure to rescue rates, these macro-system factors explain a small proportion of the variability between hospitals. This suggests that micro-system characteristics, such as hospital culture and safety climate, may play a larger role in improving a hospital's ability to manage postoperative complications.

IMPORTANCE Privately insured patients who receive care from in-network physicians may receive unexpected out-of-network bills ("surprise bills") from out-of-network clinicians they did not choose. In elective surgery, this can occur if patients choose in-network surgeons and hospitals but receive out-of-network bills from other involved clinicians.OBJECTIVE To evaluate out-of-network billing across common elective operations performed with in-network primary surgeons and facilities. DESIGN, SETTING, AND PARTICIPANTS Retrospective analysis of claims data from a large US commercial insurer, representing 347 356 patients who had undergone 1 of 7 common elective operations (arthroscopic meniscal repair [116 749]; laparoscopic cholecystectomy [82 372]; hysterectomy [67 452]; total knee replacement [42 313]; breast lumpectomy [18 018]; colectomy [14 074]; coronary artery bypass graft surgery [6378]) by an in-network primary surgeon at an in-network facility between January 1, 2012, and September 30, 2017. Follow-up ended November 8, 2017. EXPOSURE Patient, clinician, and insurance factors potentially related to out-of-network bills. MAIN OUTCOMES AND MEASURESThe primary outcome was the proportion of episodes with out-of-network bills. The secondary outcome was the estimated potential balance bill associated with out-of-network bills from each surgical procedure, calculated as total out-of-network charges less the typical in-network price for the same service. RESULTS Among 347 356 patients (mean age, 48 [SD,11] years; 66% women) who underwent surgery with in-network primary surgeons and facilities, 20.5% of episodes (95% CI, 19.4%-21.7%) had an out-of-network bill.

Background Obesity is a known risk factor for surgical site infection (SSI). Our hypothesis is that morphometric measures of midline subcutaneous fat will be associated with increased risk of SSI, and will predict SSI better than conventional measures of obesity. Study Design We identified 655 patients who underwent midline laparotomy (2006 - 2009) using the Michigan Surgical Quality Collaborative database. Using novel, semi-automated analytic morphometric techniques, the thickness of subcutaneous fat along the linea alba was measured between T12 and L4. To adjust for variations in patient size, subcutaneous fat was normalized to the distance between the vertebrae and anterior skin. Logistic regression analyses were used to identify factors independently associated with the incidence of SSI. Results Overall, SSIs were observed in 12.5% (n = 82) of the population. Logistic regression revealed that patients with increased subcutaneous fat had significantly greater odds of developing a superficial incisional SSI (OR = 1.76 per 10% increase, 95% CI: 1.10 – 2.83, p = 0.019). Smoking, steroid use, ASA classification, and incision-to-close operative time were also significant independent risk factors for superficial incisional SSI. When comparing subcutaneous fat and body mass index (BMI) as the only model variables, subcutaneous fat significantly improved model predictions of superficial incisional SSI (AUC: 0.60, p = 0.023) while BMI did not (AUC = 0.52, p = 0.73). Conclusions Abdominal subcutaneous fat is an independent predictor of superficial incisional SSI following midline laparotomy. Novel morphometric measures may improve risk stratification and help elucidate the pathophysiology of surgical complications.

Structured Abstract Background Ostomy surgery is common and has traditionally been associated with high rates of morbidity and mortality, suggesting an important target for quality improvement. Objective To evaluate the variation in outcomes after ostomy creation surgery within Michigan in order to identify targets for quality improvement. Design Retrospective cohort study. Setting The 34-hospital Michigan Surgical Quality Collaborative (MSQC). Patients Patients undergoing ostomy creation surgery between 2006-2011. Main outcome measures We evaluated hospitals' morbidity and mortality rates after risk-adjustment (age, comorbidities, emergency v. elective, procedure type). Results 4,250 patients underwent ostomy creation surgery; 3,866 (91.0%) procedures were open and 384 (9.0%) were laparoscopic. Unadjusted morbidity and mortality rates were 43.9% and 10.7%, respectively. Unadjusted morbidity rates for specific procedures ranged from 32.7% for ostomy-creation-only procedures to 47.8% for Hartmann's procedures. Risk-adjusted morbidity rates varied significantly between hospitals, ranging from 31.2% (95%CI 18.4-43.9) to 60.8% (95%CI 48.9-72.6). There were five statistically-significant high-outlier hospitals and three statistically-significant low-outlier hospitals for risk-adjusted morbidity. The pattern of complication types was similar between high- and low-outlier hospitals. Case volume, operative duration, and use of laparoscopic surgery did not explain the variation in morbidity rates across hospitals. Conclusions Morbidity and mortality rates for modern ostomy surgery are high. While this type of surgery has received little attention in healthcare policy, these data reveal that it is both common and uncommonly morbid. Variation in hospital performance provides an opportunity to identify quality improvement practices that could be disseminated among hospitals.

PURPOSE Centralization is often proposed as a strategy to improve the quality of certain high-risk health care services. We evaluated the extent to which existing hospital systems centralize high-risk cancer surgery and whether centralization is associated with short-term clinical outcomes. PATIENTS AND METHODS We merged data from the American Hospital Association’s annual survey on hospital system affiliation with Medicare claims to identify patients undergoing surgery for pancreatic, esophageal, colon, lung, or rectal cancer between 2005 and 2014. We calculated the degree to which systems centralized each procedure by calculating the annual proportion of surgeries performed at the highest-volume hospital within each system. We then estimated the independent effect of centralization on the incidence of postoperative complications, death, and readmissions after accounting for patient, hospital, and system characteristics. RESULTS The average degree of centralization varied from 25.2% (range, 6.6% to 100%) for colectomy to 71.2% (range, 8.3% to 100%) for pancreatectomy. Greater centralization was associated with lower rates of postoperative complications and death for lung resection, esophagectomy, and pancreatectomy. For example, there was a 1.1% (95% CI, 0.8% to 1.4%) absolute reduction in 30-day mortality after pancreatectomy for each 20% increase in the degree of centralization within systems. Independent of volume and hospital quality, postoperative mortality for pancreatectomy was two times higher in the least centralized systems than in the most centralized systems (8.9% v 3.7%, P < .01). Centralization was not associated with better outcomes for colectomy or proctectomy. CONCLUSION Greater centralization of complex cancer surgery within existing hospital systems was associated with better outcomes. As hospitals affiliate in response to broader financial and organization pressures, these systems may also present unique opportunities to improve the quality of high-risk cancer care.