Harold Kilburn

Relation of perioperative deaths to hospital volume among patients undergoing pancreatic resection for malignancy.

ObjectiveThe authors examined the effect of hospital and surgeon volume on perioperative mortality rates after pancreatic resection for the treatment of pancreatic cancer. MethodsDischarge abstracts from 1972 patients who had undergone pancreaticoduodenectomy or total pancreatectomy for malignancy in New York State between 1984 and 1991 were obtained from the Statewide Planning and Research Cooperative System. Logistic regression analysis was used to determine the relationship between hospital and surgeon experience to perioperative outcome. ResultsMore than 75% of patients underwent resection at minimal-volume (fewer than 10 cases) or low-volume (10–50 cases) centers (defined as hospitals in which a minimal number of resections were performed in a given year), and these hospitals represented 98% of the institutions treating peripancreatic cancer. The two high-volume hospitals (more than 81 cases) demonstrated a significantly lower perioperative mortality rate (4.0%) compared with the minimal- (21.8%) and low-volume (12.3%) hospitals (p < 0.001). The perioperative mortality rate was 15.5% for low-volume (fewer than 9 cases) surgeons (defined as surgeons who had performed a minimal number of resections in any hospital in a given year) (n = 687) compared with 4.7% for high-volume (more than 41 cases) pancreatic surgeons (n = 4) (p < 0.001). Logistic regression analysis demonstrated that perioperative death is significantly (p < 0.05) related to hospital volume, but the surgeons experience is not significantly related to perioperative deaths when hospital volume is controlled. ConclusionsThese data support a defined minimum hospital experience for elective pancreatectomy for malignancy to minimize perioperative deaths.

Coronary artery bypass surgery: the relationship between inhospital mortality rate and surgical volume after controlling for clinical risk factors.

This study uses a new database containing clinical risk factors for cardiac surgery to investigate the relationship between surgical volume (hospital and surgeon) and inhospital mortality rate for all patients receiving coronary artery bypass surgery in New York State in 1989. Also, hospitals with significantly higher and lower mortality rates than expected on the basis of patient preoperative risk factors are identified. The results demonstrate that both annual surgeon volume and annual hospital volume are significantly (inversely) related to mortality rate. The 36% of all coronary bypass operations performed in hospitals with annual bypass volumes of 700 or more by surgeons with annual bypass volumes of 180 or more had a risk-adjusted mortality rate of 2.67% in comparison to a risk-adjusted mortality rate of 4.29% for other bypass operations. Furthermore, low surgical volumes were a major contributor to the outlier status of four of the five hospitals with significantly higher mortality rates than expected.

Clinical versus administrative data bases for CABG surgery. Does it matter

This study compared the ability of a clinical and administrative data base in New York State to predict in-hospital mortality and to assess hospital performance for coronary artery bypass graft surgery. The results indicated that the clinical data base, the Cardiac Surgery Reporting System, is substantially better at predicting case-specific mortality than the administrative data base, the Statewide Planning and Research Cooperative System. Also, correlations between hospital mortality rates that are risk-adjusted using the two systems were only moderately high (0.75 to 0.80). The addition of new risk factors from the Statewide Planning and Research Cooperative System improved the predictive power of both systems but did not diminish the difference in effectiveness of the two systems. The three unique clinical risk factors in the Cardiac Surgery Reporting System (ejection fraction, reoperation, and more than 90% narrowing of the left main trunk) seemed to account for much of the difference in effectiveness of the two systems.

Interracial Access to Selected Cardiac Procedures for Patients Hospitalized with Coronary Artery Disease in New York State

This study examines black/white differences in the utilization of three cardiac procedures (coronary angiography, coronary artery bypass graft, and coronary angioplasty) for patients hospitalized with coronary artery disease in New York State in the first 6 months of 1987. In contrast with previous studies, disease stages are used to control for severity of illness in addition to various severity proxies. Another methodological difference is that patient episodes (a fixed period of time after an initial hospital admission) are used as the unit of analysis rather than discharges to accurately account for patients whose initial visit is to a hospital not certified to perform the procedure. After controlling for severity using logistic regression analysis, whites were found to undergo significantly more of each of the procedures than blacks (odds ratios of 1.25,2.06, and 1.69 for angiography, bypass graft, and angioplasty, respectively). These significant differences existed for most levels of the various control variables.

Gender differences in mortality rates for coronary artery bypass surgery

This study utilized a state-wide data base containing clinical risk factors for cardiac surgery to investigate differences in in-hospital mortality rates for men and women undergoing coronary artery bypass surgery. The crude mortality rates for coronary artery bypass surgery for men and women were 3.08% and 5.43% respectively, in New York State in 1989. When logistic regression analysis was used to control for preoperative risk, gender remained a significant predictor of mortality. Risk-adjusted (indirectly standardized) mortality rates were 3.33% and 4.45% for men and women, respectively. The risk-adjusted odds ratio of women to men experiencing in-hospital death was 1.52 (95% confidence interval 1.25 to 1.90).

Clinical and Nonclinical Factors Associated With Potentially Preventable Hospitalizations Among Nursing Home Residents in New York State

OBJECTIVE Identify clinical and nonclinical factors associated with potentially preventable ambulatory care sensitive (ACS) hospitalization among nursing home residents. METHODS Residents (n=26,746) of 147 randomly selected nursing homes in New York State. Data included sociodemographics and clinical and nonclinical related factors. Multivariate linear regression quantified the association between potential determinants and ACS hospitalization. RESULTS Four factors significantly associated with reduction in ACS hospitalization included nursing staff trained to communicate effectively with physicians regarding a residents condition (P < .0001), physicians treat residents within the nursing home and admit to hospital as a last resort (P < .0001), provide better information and support to nurses and aides surrounding end-of-life care (P < .0001), and easy access to stat lab results in <4 hours on weekends (P < .0001). Two factors significantly associated with increased ACS hospitalization are: perceived likelihood illness will cause death (P < .0001) and perceived inadequate access to medical history/lab/EKGs (P < .0001). CONCLUSION Preventable ACS hospitalization reduction depends on effective communication between physicians and nursing staff, providing physicians with easy access to stat results in <4 hours on weekends, and easy access to medical records/lab/EKGs. Use of electronic medical records and providing training to nursing staff on how to communicate effectively with physicians and how to articulate about a residents condition may minimize preventable ACS hospitalizations.

The Effectiveness of Jail Mental Health Programs An Interorganizational Assessment

This article presents an interorganizational approach to the assessment of jail mental health programs, a growing area of concern in the aftermath of state mental hospital deinstitutionalization. Two interorganizational variables—program auspice and program location—are investigated as predictors of the amount of interagency conflict and the perceived effectiveness of safety and service goals associated with the delivery of mental health services in 33 U.S. jails. The results reveal a number of trade-offs between various interorganizational arrangements suggesting that there is “no one best way” to organize services. Findings are discussed in relation to program planning, emergent policy issues, and further research.

Investigation of the Relationship Between Volume and Mortality for Surgical Procedures Performed in New York State Hospitals

Recent studies have demonstrated that the number of times a hospital or surgeon performs certain procedures annually has an inverse relationship with in-hospital mortality rates for patients undergoing the procedures. This study uses an improved measure of physician volume to test the combined relationship of hospital and physician volume with in-hospital mortality rates and to explore the existence of threshold volumes that optimally discriminate high- and low-volume providers. Five procedure groups have significant volume-mortality relationships. For total cholecystectomies, hospital volume is the more significant volume measure, but physician volume is marginally related to mortality rate. For coronary artery bypass surgeries, resection of abdominal aortic aneurysms, partial gastrectomies, and colectomies, physician volume is more significant than hospital volume, but hospital volume is marginally significant. Annual hospital volume thresholds for these data appear to exist at approximately 5 procedures for partial gastrectomies, 40 procedures for colectomies, and 170 procedures for total cholecystectomies.

The Decline in Coronary Artery Bypass Graft Surgery Mortality in New York State: The Role of Surgeon Volume

OBJECTIVE To examine the longitudinal relationship between surgeon volume and in-hospital mortality for coronary artery bypass graft (CABG) surgery in New York State and to explain changes in mortality that occurred over time. DESIGN Observation of clinically risk-adjusted operative mortality over time. SETTING All 30 New York State hospitals in which CABG surgery was performed for 1989 through 1992. PATIENTS All 57,187 patients undergoing isolated CABG surgery in New York State in 1989 through 1992 in the 30 hospitals. MAIN OUTCOME MEASURES Actual, expected, and risk-adjusted mortality. RESULTS Risk-adjusted in-hospital mortality decreased for all categories of surgeons. Low-volume surgeons (< or = 50 operations per year) experienced a 60% reduction in risk-adjusted mortality in the 4-year period, whereas the highest-volume surgeons (> 150 operations per year) experienced a 34% reduction. The percentage of patients undergoing CABG surgery by low-volume surgeons decreased from 7.6% in 1989 to 5.7% in 1992, a 25% decrease. CONCLUSIONS The overall decline in risk-adjusted mortality could not be explained by shifts in patients away from low-volume surgeons to high-volume surgeons. The proportionately larger decrease in risk-adjusted mortality for low-volume surgeons could not be explained by changes in patient case mix or by improvements in the performance of surgeons with persistently low volumes. Part of the decrease was a result of the exodus of low-volume surgeons with high risk-adjusted mortality (in all years studied), the markedly better performance of surgeons who were new to the system (especially in 1991 and 1992), and the performance of surgeons who were not consistently low-volume surgeons (especially in 1992).

Adult Open Heart Surgery in New York State: An Analysis of Risk Factors and Hospital Mortality Rates

This study analyzes data from New York States new Cardiac Surgery Reporting System, which contains information about cardiac preoperative risk factors, postoperative complications, and hospital discharge. The purposes of the study were to determine the set of significant clinical risk factors and to identify cardiac surgical centers most likely to have serious quality-of-care problems. Significant risk factors for in-hospital death were age, gender, ejection fraction, previous myocardial infarction, number of open heart operations in previous admissions, diabetes requiring medication, dialysis dependence, disasters (acute structural defect, renal failure, cardiogenic shock, gunshot), unstable angina, intractable congestive heart failure, left main trunk narrowed more than 90%, and type of operation performed. Four of the 28 hospitals had significantly higher mortality rates than expected, given the risk factors of their patients. Subsequent site visits and medical record reviews confirmed that these facilities had high percentages of quality-of-care problems among cases resulting in mortality.