Dataset Information

High-performance acute care hospitals: Excelling across multiple emergency general surgery operations in the geriatric patient.

ABSTRACT: BACKGROUND:As the geriatric population grows, the need for hospitals performing high quality emergency general surgery (EGS) on older patients will increase. Identifying clusters of high-performing geriatric emergency general surgery hospitals would substantiate the need for in-depth analyses of hospital-specific structures and practices that benefit older EGS patients. The objectives of this study were therefore to identify clusters of hospitals based on mortality performance for geriatric patients undergoing common EGS operations and to determine if hospital performance was similar for all operation types. METHODS:Hospitals in the California State Inpatient Database were included if they performed a range of eight common EGS operations in patients 65 years or older, with a minimum requirement of three of each operation performed over 2 years. Multivariable beta regression models were created to define hospital-level risk-adjusted mortality. Centroid cluster analysis was used to identify groups of hospitals based on mortality and to determine if mortality-performance differed by operation. RESULTS:One hundred seven hospitals were included, performing a total of 24,279 operations in older patients. Hospitals separated into three distinct clusters: high, average, and low performers. The high-performing hospitals had survival rates 1 to 2 standard deviations better than the low-performers (p < 0.001). For each cluster, high performance in any one EGS operation consistently translated into high performance across all EGS operations. CONCLUSION:Hospitals conducting EGS operations in the geriatric patient population cluster into three distinct groups based on their survival performance. High-performing hospitals significantly outperform the average and low performers across every operation. The high-performers achieve reliable, high-quality results regardless of operation type. Further qualitative research is needed to investigate the perioperative drivers of hospital performance in the geriatric EGS population. LEVEL OF EVIDENCE:Study Type Prognostic, level III.

SUBMITTER: DeWane MP

PROVIDER: S-EPMC7656193 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

High-performance acute care hospitals: Excelling across multiple emergency general surgery operations in the geriatric patient.

DeWane Michael P MP Sukumar Nitin N Stolar Marilyn J MJ Gill Thomas M TM Maung Adrian A AA Schuster Kevin M KM Davis Kimberly A KA Becher Robert D RD

The journal of trauma and acute care surgery 20190701 1

<h4>Background</h4>As the geriatric population grows, the need for hospitals performing high quality emergency general surgery (EGS) on older patients will increase. Identifying clusters of high-performing geriatric emergency general surgery hospitals would substantiate the need for in-depth analyses of hospital-specific structures and practices that benefit older EGS patients. The objectives of this study were therefore to identify clusters of hospitals based on mortality performance for geriat ...[more]

PMID: 31259872

Similar Datasets

Project description:BackgroundWithin the growing geriatric population, there is an increasing need for emergency operations. Optimizing outcomes can require a structured system of surgical care based on key quality indicators. To investigate this, the current study sought to answer 2 questions. First, to what degree does hospital emergency operative volume impact mortality for geriatric patients undergoing emergency general surgery (EGS) operations? Second, at what procedure-specific hospital volume will geriatric patients undergoing an emergency operation achieve at or better than average mortality risk?Study designRetrospective cohort study of geriatric patients (aged 65 years and older) who underwent 1 of 10 EGS operations identified from the California State Inpatient Database (2010 to 2011). β-Logistic generalized linear regression was used, with the hospital as the unit of analysis, to investigate the relationship between hospital operative volume and in-hospital riskv-adjusted mortality. Hospital operative volume thresholds to optimize probability of survival were defined.ResultsThere were 41,860 operations evaluated at 299 hospitals. For each operation, mortality decreased as hospital emergency operative volume increased (p < 0.001 for each operation); for every standardized increase in volume (meaning +1 natural logarithm of volume), the reduction in mortality ranged from 14% for colectomy to 61% for appendectomy. Hospital volume thresholds, which optimize to 95% probability of survival, varied by procedure, with a mean of 14 operations over 2 years. More than 50% of hospitals did not meet the threshold benchmarks, representing 22% of patients.ConclusionsSurvival rates for geriatric patients were improved substantially when emergency operations were performed at hospitals with higher operative volumes. Consistent with all active Quality Programs of the American College of Surgeons, hospital operative volume appears to be an important metric of surgical quality for older patients undergoing emergency operations.

Project description:ImportanceFrailty is a measure of decreased physiological reserve that is associated with morbidity and mortality in major elective and emergency general surgery operations, independent of chronological age. To date, the association of frailty with outcomes in ambulatory general surgery has not been established.ObjectiveTo determine the association between frailty and perioperative morbidity in patients undergoing ambulatory general surgery operations.Design, setting, and participantsA retrospective cohort study was conducted of 140?828 patients older than 40 years of age from the 2007-2010 American College of Surgeons National Surgical Quality Improvement Program Participant Use File who underwent ambulatory and 23-hour-stay hernia, breast, thyroid, or parathyroid surgery. Data analysis was performed from August 18, 2016, to June 21, 2017.Main outcomes and measuresThe association between the National Surgical Quality Improvement Program modified frailty index and perioperative morbidity was determined via multivariable logistic regression with random-effects modeling to control for clustering within Current Procedural Terminology codes.ResultsA total of 140?828 patients (80?147 women and 60?681 men; mean [SD] age, 59.3 [12.0] years) underwent ambulatory hernia (n?=?71?455), breast (n?=?51?267), thyroid, or parathyroid surgery (n?=?18?106). Of these patients, 2457 (1.7%) experienced any type of perioperative complication and 971 (0.7%) experienced serious perioperative complications. An increasing modified frailty index was associated with a stepwise increase in the incidence of complications. In multivariable analysis adjusting for age, sex, race/ethnicity, anesthesia type, tobacco use, renal failure, corticosteroid use, and clustering by Current Procedural Terminology codes, an intermediate modified frailty index score (0.18-0.35, corresponding to 2-3 frailty traits) was associated with statistically significant odds ratios of 1.70 (95% CI, 1.54-1.88; P?<?.001) for any complication and 2.00 (95% CI, 1.72-2.34; P?<?.001) for serious complications. A high modified frailty index score (?0.36, corresponding to ?4 frailty traits) was associated with statistically significant odds ratios of 3.35 (95% CI, 2.52-4.46; P?<?.001) for any complication and 3.95 (95% CI, 2.65-5.87; P?<?.001) for serious complications. Anesthesia with local and monitored anesthesia care was the only modifiable covariate associated with decreased odds of serious 30-day complications, with an adjusted odds ratio of 0.66 (95% CI, 0.53-0.81; P?<?.001).Conclusions and relevanceFrailty is associated with increased perioperative morbidity in common ambulatory general surgery operations, independent of age, type of anesthesia, and other comorbidities. Surgeons should consider frailty rather than chronological age when counseling and selecting patients for elective ambulatory surgery.

Project description:BACKGROUND:There is a longstanding interest in the field of management science to study high performance organizations. Applied to medicine, research on hospital performance indicates that some hospitals are high performing, while others are not. The objective of this study was to identify a cluster of high-performing emergency general surgery (EGS) hospitals and assess whether high performance at one EGS operation was associated with high performance on all EGS operations. METHODS:Adult patients who underwent one of eight EGS operations were identified in the California State Inpatient Database (2010-2011), which we linked to the American Hospital Association database. Beta regression was used to estimate a hospital's risk-adjusted mortality, accounting for patient- and hospital-level factors. Centroid cluster analysis grouped hospitals by patterns of mortality rates across the eight EGS operations using z scores. Multinomial logistic regression compared hospital characteristics by cluster. RESULTS:A total of 220 acute care hospitals were included. Three distinct clusters of hospitals were defined based on assessment of mortality for each operation type: high-performing hospitals (n = 66), average performing (n = 99), and low performing (n = 55). The mortality by individual operation type at the high-performing cluster was consistently at least 1.5 standard deviations better than the low-performing cluster (p < 0.001). Within-cluster variation was minimal at high-performing hospitals compared with wide variation at low-performing hospitals. A hospital's high performance in one EGS operation type predicted high performance on all EGS operation types. CONCLUSION:High-performing EGS hospitals attain excellence across all types of EGS operations, with minimal variability in mortality. Poor-performing hospitals are persistently below average, even for low-risk operations. These findings suggest that top-performing EGS hospitals are highly reliable, with systems of care in place to achieve consistently superior results. Further investigation and collaboration are needed to identify the factors associated with high performance. LEVEL OF EVIDENCE:Prognostic, level III.

Project description:BACKGROUND:Expected performance rates for various outcome metrics are a hallmark of hospital quality indicators used by Agency of Healthcare Research and Quality, Center for Medicare and Medicaid Services, and National Quality Forum. The identification of outlier hospitals with above- and below-expected mortality for emergency general surgery (EGS) operations is therefore of great value for EGS quality improvement initiatives. The aim of this study was to determine hospital variation in mortality after EGS operations, and compare characteristics between outlier hospitals. METHODS:Using data from the California State Inpatient Database (2010-2011), we identified patients who underwent one of eight common EGS operations. Expected mortality was obtained from a Bayesian model, adjusting for both patient- and hospital-level variables. A hospital-level standardized mortality ratio (SMR) was constructed (ratio of observed to expected deaths). Only hospitals performing three or more of each operation were included. An "outlier" hospital was defined as having an SMR with 80% confidence interval that did not cross 1.0. High- and low-mortality SMR outliers were compared. RESULTS:There were 140,333 patients included from 220 hospitals. Standardized mortality ratio varied from a high of 2.6 (mortality, 160% higher than expected) to a low of 0.2 (mortality, 80% lower than expected); 12 hospitals were high SMR outliers, and 28 were low SMR outliers. Standardized mortality was over three times worse in the high SMR outliers compared with the low SMR outliers (1.7 vs. 0.5; p < 0.001). Hospital-, patient-, and operative-level characteristics were equivalent in each outlier group. CONCLUSION:There exists significant hospital variation in standardized mortality after EGS operations. High SMR outliers have significant excess mortality, while low SMR outliers have superior EGS survival. Common hospital-level characteristics do not explain the wide gap between underperforming and overperforming outlier institutions. These findings suggest that SMR can help guide assessment of EGS performance across hospitals; further research is essential to identify and define the hospital processes of care which translate into optimal EGS outcomes. LEVEL OF EVIDENCE:Epidemiologic Study, level III.

Project description:ObjectiveTo define geographic variations in emergency general surgery (EGS) care, we sought to determine how much variability exists in the rates of EGS operations and subsequent mortality in the Northeastern and Southeastern United States (US).Summary background dataWhile some geographic variations in healthcare are normal, unwarranted variations raise questions about the quality, appropriateness, and cost-effectiveness of care in different areas.MethodsPatients ≥18 years who underwent 1 of 10 common EGS operations were identified using the State Inpatient Databases (2011-2012) for 6 states, representing Northeastern (New York) and Southeastern (Florida, Georgia, Kentucky, North Carolina, Mississippi) US. Geographic unit of analysis was the hospital service area (HSA). Age-standardized rates of operations and in-hospital mortality were calculated and mapped. Differences in rates across geographic areas were compared using the Kruskal-Wallis test, and variance quantified using linear random-effects models. Variation profiles were tabulated via standardized rates of utilization and mortality to compare geographically heterogenous areas.Results227,109 EGS operations were geospatially analyzed across the 6 states. Age-standardized EGS operation rates varied significantly by region (Northeast rate of 22.7 EGS operations per 10,000 in population versus Southeast 21.9; P < 0.001), state (ranging from 9.9 to 29.1; P < 0.001), and HSA (1.9-56.7; P < 0.001). The geographic variability in age-standardized EGS mortality rates was also significant at the region level (Northeast mortality rate 7.2 per 1000 operations vs Southeast 7.4; P < 0.001), state-level (ranging from 5.9 to 9.0 deaths per 1000 EGS operations; P < 0.001), and HSA-level (0.0-77.3; P < 0.001). Maps and variation profiles visually exhibited widespread and substantial differences in EGS use and morality.ConclusionsWide geographic variations exist across 6 Northeastern and Southeastern US states in the rates of EGS operations and subsequent mortality. More detailed geographic analyses are needed to determine the basis of these variations and how they can be minimized.

Project description:Importance:Owing to lack of adequate emergency care infrastructure and decline in general surgery workforce, the United States faces a crisis in access to emergency general surgery (EGS) care. Acute care surgery (ACS), an organized system of trauma, general surgery, and critical care, is a proposed solution; however, ACS diffusion remains poorly understood. Objective:To investigate geographic diffusion of ACS models of care and characterize the communities in which ACS implementation is lagging. Design, Setting, and Participants:A national survey on EGS practices was developed, tested, and administered at all 2811 US acute care hospitals providing EGS to adults between August 2015 and October 2015. Surgeons responsible for EGS coverage at these hospitals were approached. If these surgeons failed to respond to the initial survey implementation, secondary surgeons or chief medical officers at hospitals with only 1 general surgeon were approached. Interventions:Survey responses on ACS implementation were linked with geocoded hospital data and national census data to determine geographic diffusion of and access to ACS. Main Outcomes and Measures:We measured the distribution of hospitals with ACS models of care vs those without over time (diffusion) and by US counties characterized by sociodemographic characteristics of county residents (access). Results:Survey response rate was 60% (n?=?1690); 272 responding hospitals had implemented ACS by 2015, steadily increasing from 34 in 2001 to 125 in 2010. Acute care surgery implementation has not been uniform. Rural regions have limited ACS access, with hospitals in counties with greater than the 75th percentile population having 5.4 times higher odds (95% CI, 1.66-7.35) of implementing ACS than hospitals in counties with less than 25th percentile population. Communities with greater percentages of adults without a college degree also have limited ACS access (OR, 3.43; 95% CI, 1.81-6.48). However, incorporating EGS into ACS models may be a potential equalizer for poor, black, and Hispanic communities. Conclusions and Relevance:Understanding and addressing gaps in ACS implementation across communities will be crucial to ensuring health equity for US residents experiencing general surgery emergencies.

Dataset Information

High-performance acute care hospitals: Excelling across multiple emergency general surgery operations in the geriatric patient.

Publications

High-performance acute care hospitals: Excelling across multiple emergency general surgery operations in the geriatric patient.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets