Objective

To evaluate the relationship between risk-adjusted cost and quality for colectomy procedures and to identify characteristics of "high value" hospitals (high quality, low cost).

Background

Policymakers are currently focused on rewarding high-value health care. Hospitals will increasingly be held accountable for both quality and cost.

Methods

Records (2005-2008) for all patients undergoing colectomy procedures in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) were linked to Medicare inpatient claims. Cost was derived from hospital payments by Medicare. Quality was derived from the occurrence of 30-day postoperative major complications and/or death as recorded in ACS-NSQIP. Risk-adjusted cost and quality metrics were developed using hierarchical multivariable modeling, consistent with a National Quality Forum-endorsed colectomy measure.

Results

The study population included 14,745 colectomy patients in 169 hospitals. Average hospitalization cost was $21,350 (SD $20,773, median $16,092, interquartile range $14,341-$24,598). Thirty-four percent of patients had a postoperative complication and/or death. Higher hospital quality was significantly correlated with lower cost (correlation coefficient 0.38, P < 0.001). Among hospitals classified as high quality, 52% were found to be low cost (representing highest value hospitals) whereas 14% were high cost (P = 0.001). Forty-one percent of low-quality hospitals were high cost. Highest "value" hospitals represented a mix of teaching/nonteaching affiliation, small/large bed sizes, and regional locations.

Conclusions

Using national ACS-NSQIP and Medicare data, this study reports an association between higher quality and lower cost surgical care. These results suggest that high-value surgical care is being delivered in a wide spectrum of hospitals and hospital types.

Objectives

To evaluate national present-on-admission (POA) reporting for hospital-acquired pressure ulcers (HAPUs) and examine the impact of quality measure exclusion criteria on HAPU rates.

Data sources/study setting

Medicare inpatient, outpatient, and nursing facility data as well as independent provider claims (2010-2011).

Study design

Retrospective cross-sectional study.

Data collection/extraction methods

We evaluated acute inpatient hospital admissions among Medicare fee-for-service (FFS) beneficiaries in 2011. Admissions were categorized as follows: (1) no pressure ulcer diagnosis, (2) new pressure ulcer diagnosis, and (3) previously documented pressure ulcer diagnosis. HAPU rates were calculated by varying patient exclusion criteria.

Principal findings

Among admissions with a pressure ulcer diagnosis, we observed a large discrepancy in the proportion of admissions with a HAPU based on hospital-reported POA data (5.2 percent) and the proportion with a new pressure ulcer diagnosis based on patient history in billing claims (49.7 percent). Applying quality measure exclusion criteria resulted in removal of 91.2 percent of admissions with a pressure injury diagnosis from HAPU rate calculations.

Conclusions

As payers and health care organizations expand the use of quality measures, it is important to consider how the measures are implemented, coding revisions to improve measure validity, and the impact of patient exclusion criteria on provider performance evaluation.

Randomized controlled trials (RCTs) represent the gold standard for evidence in clinical medicine because of their ability to account for the effects of unmeasured confounders and selection bias by indication. However, their complexity and immense costs limit their application, and thus the availability of high-quality data to guide clinical care. Registry-based RCTs are a type of pragmatic trial that leverages existing registries as a platform for data collection, providing a low-cost alternative for randomized studies. Herein, we describe the tenets of registry RCTs and the development of the first AHPBA/ACS-NSQIP-based registry trial.

Objective

To compare the classification of hospital statistical outlier status as better or worse performance than expected for postoperative complications using Medicare claims versus clinical registry data.

Background

Controversy remains as to the most favorable data source for measuring postoperative complications for pay-for-performance and public reporting polices.

Methods

Patient-level records (2005-2008) were linked between the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and Medicare inpatient claims. Hospital statistical outlier status for better or worse performance than expected was assessed using each data source for superficial surgical site infection (SSI), deep/organ-space SSI, any SSI, urinary tract infection, pneumonia, sepsis, deep venous thrombosis, pulmonary embolism, venous thromboembolism, and myocardial infarction by developing hierarchical multivariable logistic regression models. Kappa statistics and correlation coefficients assessed agreement between the data sources.

Results

A total of 192 hospitals with 110,987 surgical patients were included. Agreement on hospital rank for complication rates between Medicare claims and ACS-NSQIP was poor-to-moderate (weighted κ: 0.18-0.48). Of hospitals identified as statistical outliers for better or worse performance by Medicare claims, 26% were also identified as outliers by ACS-NSQIP. Of outliers identified by ACS-NSQIP, 16% were also identified as outliers by Medicare claims. Agreement between the data sources on hospital outlier status classification was uniformly poor (weighted κ: -0.02-0.34).

Conclusions

Despite using the same statistical methodology with each data source, classification of hospital outlier status as better or worse performance than expected for postoperative complications differed substantially between ACS-NSQIP and Medicare claims.

Background

The use of post-acute care is common among the elderly and accounts for $62 billion in annual Medicare expenditures. However, little is known about post-acute care use after surgery.

Study design

Data were merged between the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and Medicare claims for 2005 to 2008. Post-acute care use, including skilled nursing facilities (SNF), inpatient rehabilitation facilities (IRF), and home health care (HHC) were analyzed for 3 operations: colectomy, pancreatectomy, and open abdominal aortic aneurysm repair. Controlling for both preoperative risk factors and the occurrence of postoperative complications, we used multinomial logistic regression to estimate the odds of use for each type of post-acute care after elective surgery compared with home discharge.

Results

Post-acute care was used frequently for patients undergoing colectomy (40.0%; total n=10,932), pancreatectomy (46.0%; total n=2,144), and open abdominal aortic aneurysm (AAA) repair (44.9%; total n=1,736). Home health was the most frequently reported post-acute care service for each operation (range 23.2% to 31.5%) followed by SNF (range 12.0% to 15.0%), and then by IRF (range 2.5% to 5.4%). The majority of patients with at least 1 inpatient complication were discharged to post-acute care (range 58.6% for open AAA repair to 64.4% for colectomy). In multivariable analysis, specific preoperative risk factors, including advanced age, poor functional status, and inpatient complications were significantly associated with increased risk-adjusted odds of discharge to post-acute care for each operation studied.

Conclusions

Among elderly patients, post-acute care use is frequent after surgery and is significantly associated with several preoperative risk factors and postoperative inpatient complications. Further work is needed to ensure that post-acute care services are used appropriately and cost-effectively.

Background

This study aims to describe the magnitude of hospital costs among patients undergoing elective colectomy, cholecystectomy, and pancreatectomy, determine whether these costs relate as expected to duration of care, patient case-mix severity and comorbidities, and whether risk-adjusted costs vary significantly by hospital. Correctly estimating the cost of production of surgical care may help decision makers design mechanisms to improve the efficiency of surgical care.

Study design

Patient data from 202 hospitals in the ACS-NSQIP were linked to Medicare inpatient claims. Patient charges were mapped to cost center cost-to-charge ratios in the Medicare cost reports to estimate costs. The association of patient case-mix severity and comorbidities with cost was analyzed using mixed effects multivariate regression. Cost variation among hospitals was quantified by estimating risk-adjusted hospital cost ratios and 95% confidence intervals from the mixed effects multivariate regression.

Results

There were 21,923 patients from 202 hospitals who underwent an elective colectomy (n = 13,945), cholecystectomy (n = 5,569), or pancreatectomy (n = 2,409). Median cost was lowest for cholecystectomy ($15,651) and highest for pancreatectomy ($37,745). Room and board costs accounted for the largest proportion (49%) of costs and were correlated with length of stay, R = 0.89, p < 0.001. The patient case-mix severity and comorbidity variables most associated with cost were American Society of Anesthesiologists (ASA) class IV (estimate 1.72, 95% CI 1.57 to 1.87) and fully dependent functional status (estimate 1.63, 95% CI 1.53 to 1.74). After risk-adjustment, 66 hospitals had significantly lower costs than the average hospital and 57 hospitals had significantly higher costs.

Conclusions

The hospital costs estimates appear to be consistent with clinical expectations of hospital resource use and differ significantly among 202 hospitals after risk-adjustment for preoperative patient characteristics and procedure type.

The contribution of physical activity on the degree of weight loss following bariatric surgery is unclear. To determine impact of exercise on postoperative weight loss. Medline search (1988–2009) was completed using MeSH terms including bariatric procedures and a spectrum of patient factors with potential relationship to weight loss outcomes. Of the 934 screened articles, 14 reported on exercise and weight loss outcomes. The most commonly used instruments to measure activity level were the Baecke Physical Activity Questionnaire, the International Physical Activity Questionnaire, and a variety of self-made questionnaires. The definition of an active patient varied but generally required a minimum of 30 min of exercise at least 3 days per week. Thirteen articles reported on exercise and degree of postoperative weight loss (n = 4,108 patients). Eleven articles found a positive association of exercise on postoperative weight loss, and two did not. Meta-analysis of three studies revealed a significant increase in 1-year postoperative weight loss (mean difference = 4.2% total body mass index (BMI) loss, 95% confidence interval (CI; 0.26–8.11)) for patients who exercise postoperatively. Exercise following bariatric surgery appears to be associated with a greater weight loss of over 4% of BMI. While a causal relationship cannot be established with observational data, this finding supports the continued efforts to encourage and support patients’ involvement in post-surgery exercise. Further research is necessary to determine the recommended activity guidelines for this patient population.

Background

Existing large clinical registries capture short-term follow-up. Yet, there are many important long-term outcomes in surgery, such as recurrence of a ventral hernia after ventral hernia repair. The goal of the current study was to conduct an exploratory analysis to determine whether the rates, timing, and risk factors for ventral hernia re-repair in claims data linked to registry data were consistent with the known clinical literature.

Study design

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and Medicare inpatient claims linked data set from 2005 to 2008 was queried to identify ventral hernia re-repairs after index ventral hernia repairs. Survival analysis was used to examine the ventral hernia re-repair rate over time and to quantify the relationship with clinical variables.

Results

Of 3,730 index ventral hernia repairs identified in ACS-NSQIP, 247 patients (6.6%) underwent re-repair of a ventral hernia during the study period (2005-2008) in the Medicare claims data. ACS-NSQIP clinical variables that were associated with the ventral hernia re-repair rate in Medicare claims data 1 year after index ventral hernia repair were being a smoker (hazard ratio [HR] = 1.70, P = .02), body mass index (HR = 1.16, P = .04), and postoperative superficial surgical-site infection (HR = 2.88, P < .001).

Conclusion

Long-term rate and timing of ventral hernia re-repair obtained from claims data were an underestimate compared with clinical studies. Yet, several known clinical risk factors for recurrence in the clinical registry were associated with the re-repair rate in claims data at one year. It may be possible to study certain long-term outcomes using selected reoperation rates using the technique of linked clinical registry-claims data, with an understanding that event rates are conservative estimates.

AJCC staging of pancreatic cancer (PAC) is used to determine prognosis, yet survival within each stage shows wide variation and remains unpredictable. We hypothesized that tumor grade might be responsible for some of this variation and that the addition of grade to current AJCC staging would provide improved prognostication. The Surveillance, Epidemiology, and End Results (SEER) database (1991–2005) was used to identify 8082 patients with resected PAC. The impact of grade on overall and stage-specific survival was assessed using Cox regression analysis. Variables in the model were age, sex, tumor size, lymph node status, and tumor grade. For each AJCC stage, survival was significantly worse for high-grade versus low-grade tumors. On multivariate analysis, high tumor grade was an independent predictor of survival for the entire cohort (hazard ratio [HR] 1.40, 95% confidence interval [95% CI] 1.31–1.48) as well as for stage I (HR 1.28, 95% CI 1.07–1.54), stage IIA (HR 1.43, 95% CI 1.26–1.61), stage IIB (HR 1.38, 95% CI 1.27–1.50), stage III (HR 1.28, 95% CI 1.02–1.59), and stage IV (HR 1.58, 95% CI 1.21–2.05) patients. The addition of grade to staging results in a statistically significant survival discrimination between all stages. Tumor grade is an important prognostic variable of survival in PAC. We propose a novel staging system incorporating grade into current AJCC staging for pancreas cancer. The improved prognostication is more reflective of tumor biology and may impact therapy decisions and stratification of future clinical trials.

Objective

To examine the validity of hybrid quality measures that use both clinical registry and administrative claims data, capitalizing on the strengths of each data source.

Background

Previous studies demonstrate substantial disagreement between clinical registry and administrative claims data on the occurrence of postoperative complications. Clinical data have greater validity than claims data for quality measurement but can be burdensome for hospitals to collect.

Methods

American College of Surgeons National Surgical Quality Improvement Program records were linked to Medicare inpatient claims (2005-2008). National Quality Forum-endorsed risk-adjusted measures of 30-day postoperative complications or death assessed hospital quality for patients undergoing colectomy, lower extremity bypass, or all surgical procedures. Measures use hierarchical multivariable logistic regression to identify statistical outliers. Measures were applied using clinical data, claims data, or a hybrid of both data sources. Kappa statistics assessed agreement on determinations of hospital quality.

Results

A total of 111,984 patients participated from 206 hospitals. Agreement on hospital quality between clinical and claims data was poor. Hybrid models using claims data to risk-adjust complications identified by clinical data had moderate agreement with all clinical data models, whereas hybrid models using clinical data to risk-adjust complications identified by claims data had routinely poor agreement with all clinical data models.

Conclusions

Assessments of hospital quality differ substantially when using clinical registry versus administrative claims data. A hybrid approach using claims data for risk adjustment and clinical data for complications may be a valid alternative with lower data collection burden. For quality measures focused on postoperative complications to be meaningful, such policies should require, at a minimum, collection of clinical outcomes data.