Evaluation of the Methods Used by Medicare's Hospital-Acquired Condition Reduction Program to Identify Outlier Hospitals for Surgical Site Infection.

BACKGROUND: The Hospital Acquired Condition Reduction Program (HACRP) is a national pay-for-performance program that includes a measure of surgical site infection (SSI) after hysterectomy and colectomy. This study compares the HACRP SSI measure with other published methods. STUDY DESIGN: This was a retrospective cohort study from the Michigan Surgical Quality Collaborative (MSQC). The outcome was 30-day, adjusted deep and organ space SSI ("complex SSI"). Observed-to-expected ratios of complex SSI for each hospital were calculated using HACRP, National Healthcare Safety Network (NHSN), and MSQC methodologies. C-statistics were compared between models. Hospital rankings were compared, and ladder plots show changes in hospitals' HACRP scores that derive from each algorithm. RESULTS: Complex SSI occurred in 1.1% (190 of 16,672) of hysterectomies and 4.8% (n = 514 of 10,725) of colectomies. The HACRP risk-adjustment model for hysterectomy had a C-statistic of 0.55, significantly lower than NHSN (0.61, p = 0.0461) or MSQC models (0.77, p < 0.0001). For colectomy, C-statistics were 0.57, 0.66 (p < 0.0001) and 0.73 (p < 0.0001), respectively. For both operations, there were 5 high-outlier hospitals using HACRP, but fewer (4 or 3) using the other methods. Most hospitals in the bottom quartile were not statistical outliers, but would be flagged under HACRP. More than 50% of hospitals changed ranking position between models, which would result in different scores under HACRP. CONCLUSIONS: This study showed that the HACRP SSI measure unfairly places hospitals at risk for financial penalties that are not statistical outliers. Policy makers need to weigh the burden of data collection and the accuracy needed to identify hospitals for financial reward or penalty.

Are perioperative bundles associated with reduced postoperative morbidity in women undergoing benign hysterectomy? Retrospective cohort analysis of 16,286 cases in Michigan.

BACKGROUND: Healthcare teams that frequently follow a bundle of evidence-based processes provide care with lower rates of morbidity. Few process bundles to improve surgical outcomes in hysterectomy have been identified. OBJECTIVE: The purpose of this study was to investigate whether a bundle of 4 perioperative care processes is associated with fewer postoperative complications and readmissions for hysterectomies in the Michigan Surgical Quality Collaborative. STUDY DESIGN: A bundle of perioperative care process goals was developed retrospectively with 30-day peri- and postoperative outcome data from the Hysterectomy Initiative in Michigan Surgical Quality Collaborative. All benign hysterectomies that had been performed between January 2013 and January 2015 were included. Based on evidence of lower complication rates after benign hysterectomy, the following processes were considered to be the "bundle": use of guideline-appropriate preoperative antibiotics, a minimally invasive surgical approach, operative duration <120 minutes, and avoidance of intraoperative hemostatic agent use. Each process was considered present or absent, and the number of processes was summed for a bundle score that ranged from 0-4. Cases with a score of zero were excluded. Outcomes measured were rates of complications (any and major) and hospital readmissions, all within 30 days of surgery. Postoperative events that were considered a "major complication" included acute renal failure, cardiac arrest that required cardiopulmonary resuscitation, central line infection, cerebral vascular accident, death, deep vein thrombosis, intestinal obstruction, myocardial infarction, pelvic abscess, pulmonary embolism, rectovaginal fistula, sepsis, surgical site infection (deep and organ-space), unplanned intubation, ureteral obstruction, and ureterovaginal and vesicovaginal fistula. The outcome "any complication" included all those events already described in addition to blood transfusion within 72 hours of surgery, urinary tract infection, and superficial surgical site infection. Outcomes were adjusted for patient demographics, surgical factors, and hospital-level clustering effects. RESULTS: There were 16,286 benign hysterectomies available for analysis. Among all hysterectomies that were reviewed, 33.6% met criteria for all bundle processes; however, there was wide variation in the rate among the 56 hospitals in the study sample with 9.1% of cases at the lowest quartile and 60.4% at the highest quartile of hospitals that met criteria for all bundle processes. Overall, the rate of any complication was 6.8% and of any major complication was 2.3%. The rate of hospital readmissions was 3.6%. After adjustment for confounders, in cases in which all bundle criterion were met compared with cases in which all bundle criterion were not met, the rate of any complications increased from 4.3-7.8% (P<.001); major complications increased from 1.7-2.6% (P<.001), and readmissions increased from 2.6-4.1% (P<.001). After adjustment for confounders, hospitals with greater rates of meeting all 4 criteria were associated significantly with lower hospital-level rates of postoperative complications (P<.001) and readmissions (P<.001). CONCLUSIONS: This multiinstitutional evaluation reveals that reduced morbidity and readmission are associated with rates of bundle compliance. The proposed bundle is a surgical goal, which is not possible in every case, and there is significant variation in the proportion of cases meeting all 4 bundle processes in Michigan hospitals. Implementation of evidence-based process bundles at a healthcare system level are worthy of prospective study to determine whether improvements in patient outcomes are possible.

Analytic morphomics, core muscle size, and surgical outcomes.

OBJECTIVE: Assess the relationship between lean core muscle size, measured on preoperative cross-sectional images, and surgical outcomes. BACKGROUND: Novel measures of preoperative risk are needed. Analytic morphomic analysis of cross-sectional diagnostic images may elucidate vast amounts of patient-specific data, which are never assessed by clinicians. METHODS: The study population included all patients within the Michigan Surgical Quality Collaborative database with a computerized tomography(CT) scan before major, elective general or vascular surgery (N = 1453). The lean core muscle size was calculated using analytic morphomic techniques. The primary outcome measure was survival, whereas secondary outcomes included surgical complications and costs. Covariate adjusted outcomes were assessed using Kaplan-Meier analysis, multivariate cox regression, multivariate logistic regression, and generalized estimating equation methods. RESULTS: The mean follow-up was 2.3 years and 214 patients died during the observation period. The covariate-adjusted hazard ratio for lean core muscle area was 1.45 (P = 0.028), indicating that mortality increased by 45% per 1000 mm(2) decrease in lean core muscle area. When stratified into tertiles of core muscle size, the 1-year survival was 87% versus 95% for the smallest versus largest tertile, whereas the 3-year survival was 75% versus 91%, respectively (P < 0.003 for both comparisons). The estimated average risk of complications significantly differed and was 20.9%, 15.0%, and 12.3% in the lower, middle, and upper tertiles of lean core muscle area, respectively. Covariate-adjusted cost increased significantly by an estimated $10,110 per 1000 mm(2) decrease in core muscle size (P = 0.003). CONCLUSIONS: 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.