Surgeon volume and 30 day mortality for brain tumours in England.
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ABSTRACT:
SUBMITTER: Williams M
PROVIDER: S-EPMC5129829 | biostudies-other | 2016 Nov
REPOSITORIES: biostudies-other
Publications
Surgeon volume and 30 day mortality for brain tumours in England.
Williams Matt M Treasure Peter P Greenberg David D Brodbelt Andrew A Collins Peter P
British journal of cancer 20161020 11
<h4>Background</h4>There is evidence that surgeons who perform more operations have better outcomes. However, in patients with brain tumours, all of the evidence comes from the USA.<h4>Methods</h4>We examined all English patients with an intracranial neoplasm who had an intracranial resection in 2008-2010. We included surgeons who performed at least six operations over 3 years, and at least one operation in the first and last 6 months of the period.<h4>Results</h4>The analysis data set comprised ...[more]
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Project description:The association between hospital volume and the death rate for patients who are hospitalized for acute myocardial infarction, heart failure, or pneumonia remains unclear. It is also not known whether a volume threshold for such an association exists.We conducted cross-sectional analyses of data from Medicare administrative claims for all fee-for-service beneficiaries who were hospitalized between 2004 and 2006 in acute care hospitals in the United States for acute myocardial infarction, heart failure, or pneumonia. Using hierarchical logistic-regression models for each condition, we estimated the change in the odds of death within 30 days associated with an increase of 100 patients in the annual hospital volume. Analyses were adjusted for patients' risk factors and hospital characteristics. Bootstrapping procedures were used to estimate 95% confidence intervals to identify the condition-specific volume thresholds above which an increased volume was not associated with reduced mortality.There were 734,972 hospitalizations for acute myocardial infarction in 4128 hospitals, 1,324,287 for heart failure in 4679 hospitals, and 1,418,252 for pneumonia in 4673 hospitals. An increased hospital volume was associated with reduced 30-day mortality for all conditions (P<0.001 for all comparisons). For each condition, the association between volume and outcome was attenuated as the hospital's volume increased. For acute myocardial infarction, once the annual volume reached 610 patients (95% confidence interval [CI], 539 to 679), an increase in the hospital volume by 100 patients was no longer significantly associated with reduced odds of death. The volume threshold was 500 patients (95% CI, 433 to 566) for heart failure and 210 patients (95% CI, 142 to 284) for pneumonia.Admission to higher-volume hospitals was associated with a reduction in mortality for acute myocardial infarction, heart failure, and pneumonia, although there was a volume threshold above which an increased condition-specific hospital volume was no longer significantly associated with reduced mortality.
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Project description:ImportanceThirty-day readmission rates have been suggested as a marker for quality of care. By investigating the factors associated with readmissions in all otolaryngology subspecialties we provide data relevant for the development of risk stratification systems to improve outcomes.ObjectiveTo establish the association of surgical and hospital volume and patient characteristics with 30-day readmission rates to guide the development of otolaryngology-specific risk stratification models.Design, setting, and participantsA retrospective cohort study including adult patients who underwent inpatient otolaryngology surgery in New York State between 1995 and 2015 was conducted using the Statewide Planning and Research Cooperative System (SPARCS). Regression techniques were used to describe relationships of patient-level factors, hospital, and surgeon volume to 30-day readmission rates in New York State.Main outcomes and measuresThe main outcome measures were patient-, surgeon-, and hospital-level risk factors for readmission. Secondary outcome measures were rate of readmissions by subspecialty procedure and by diagnosis on readmission.ResultsWe identified 254 257 cases of otolaryngology surgery (147 065 women [58%], mean [SD] age 50 [17] years). The 30-day readmission rate was 6%. In a multivariable model, odds ratios (ORs) identified Medicaid insurance (OR, 1.46; 99% CI, 1.36-1.57), Medicare insurance (OR, 1.32; 99% CI, 1.24-1.42), bottom quartile income (OR, 1.08; 99% CI, 1.01-1.15), patient comorbidities measured by the Charlson Comorbidity Index (CCI) (CCI >1; OR, 2.31; 99% CI, 2.16-2.47), length of stay (LOS) (LOS >10 days; OR, 2.29; 99% CI, 2.00-2.45), rhinology (OR, 1.37; 99% CI, 1.24-1.51), laryngology (OR, 1.98; 99% CI, 1.62-2.43), and head and neck cancer (OR, 1.27; 99% CI, 1.17-1.37) procedures as readmission predictors. High-volume surgeons were protective of 30-day readmission (OR, 0.67; 99% CI, 0.635-0.708) relative to low volume. Hospital volume was not significantly associated to readmissions. The most common causes of readmission included wound- (2682 patients, 18%), respiratory- (1776 patients, 12%), cardiovascular- (1210 patients, 8%), and volume- (1089 patients, 7%) related disorders.Conclusions and relevanceThis study evaluated the combined effects of patient-, surgeon-, and hospital-level factors on 30-day readmission after otolaryngology surgery. Socioeconomic factors, patient comorbidities, surgeon volumes, and procedure were significantly associated with 30-day readmission. Though the cause of 30-day readmission is multifactorial, a large portion is driven by socioeconomic factors. Addressing these disparities at the system level is necessary to address the described readmission disparities. The development of risk-stratification models based on patient-, procedure-, and surgeon-level factors may help facilitate resource distribution.
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Project description:ImportanceQuestions have recently arisen as to whether 30-day mortality is a reasonable metric for understanding institutional practice differences after transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR).ObjectiveTo examine the utility of 30-day vs 90-day mortality after TAVR and SAVR as a mortality quality metric.Design, setting, and participantsThis nationally representative, multicenter, cohort study analyzed data from Medicare beneficiaries undergoing TAVR and SAVR procedures from January 1, 2012, to December 31, 2015. Concomitant coronary artery bypass grafting and other heart valve or other major open-heart procedures were excluded. Hospitals that performed fewer than 50 TAVR or 70 SAVR procedures per year were excluded to ensure reliable estimates and to reduce the risks of inflated results because of small institutional sample sizes. Data were analyzed from October 2018 to August 2019.ExposuresHospitals were ranked into top- (10%), middle- (80%), and bottom-performing (10%) groups based on their 4-year mean 30-day mortality.Main outcomes and measuresChanges in hospital performance rankings at 90 days and 1 year and correlation of 30- and 90-day mortality with 1-year mortality were examined.ResultsA total of 30 329 TAVR admissions at 184 hospitals and 26 021 SAVR admissions at 191 hospitals were evaluated. For TAVR, 40 hospitals (21.7%) changed performance rankings at 90 days: 13 (48.1%) in the top-performing group and 8 (29.6%) in the bottom-performing group. At 1 year, 56 hospitals (30.4%), which included 21 (77.8%) in the top-performing group and 12 (44.4%) in the bottom-performing group, changed rankings. Similar findings were observed for SAVR, with an overall 90-day conversion rate of 17.3% and a 1-year rate of 30.3%. These findings persisted after adjusting for the differences in patient risk profiles among the 3 groups. Capturing 90-day events was also more robustly informative regarding expected 1-year outcomes after both TAVR and SAVR, largely owing to the observed plateau in the instantaneous hazard observed beyond this point.Conclusions and relevanceThe findings suggest that evaluation of hospital performance based on 30-day mortality may underestimate outcomes and therefore substantially misrepresent institutional performance after TAVR and SAVR compared with 90-day mortality, even after risk adjustment. Although 30-day mortality has been validated, 90-day mortality may be a more reliable outcome metric for measuring hospital performance and capturing procedure-related mortality.
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