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Association between a hospital's quality performance for in-hospital cardiac arrest and common medical conditions.

ABSTRACT: Public reporting on hospital quality has been widely adopted for common medical conditions. Adding a measure of inpatient survival after cardiac arrest is being considered. It is unknown whether this measure would be redundant, given evidence that hospital organization and culture can have hospital-wide effects on quality. Therefore, we sought to evaluate the correlation between inpatient survival after cardiac arrest and 30-day risk-standardized mortality rates for common medical conditions.Using data between 2007 and 2010 from a national in-hospital cardiac arrest registry, we calculated risk-standardized in-hospital survival rates for cardiac arrest at each hospital. We obtained risk-standardized 30-day mortality rates for acute myocardial infarction, heart failure, and pneumonia from Hospital Compare for the same period. The relationship between a hospital's performance on cardiac arrest and these other medical conditions was assessed using weighted Pearson correlation coefficients. Among 26 270 patients with in-hospital cardiac arrest at 130 hospitals, survival rates varied across hospitals, with a median risk-standardized hospital survival rate of 22.1% and an interquartile range of 19.7% to 24.2%. There were no significant correlations between a hospital's outcomes for its cardiac arrest patients and its patients admitted for acute myocardial infarction (correlation, -0.12; P=0.16), heart failure (correlation, -0.05; P=0.57), or pneumonia (correlation, -0.15; P=0.10).Hospitals that performed better on publicly reported outcomes for 3 common medical conditions did not necessarily have better cardiac arrest survival rates. Public reporting on cardiac arrest outcomes could provide new information about hospital quality.

SUBMITTER: Chen LM

PROVIDER: S-EPMC4465597 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

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Association between a hospital's quality performance for in-hospital cardiac arrest and common medical conditions.

Chen Lena M LM Nallamothu Brahmajee K BK Krumholz Harlan M HM Spertus John A JA Tang Fengming F Chan Paul S PS

Circulation. Cardiovascular quality and outcomes 20131112 6

<h4>Background</h4>Public reporting on hospital quality has been widely adopted for common medical conditions. Adding a measure of inpatient survival after cardiac arrest is being considered. It is unknown whether this measure would be redundant, given evidence that hospital organization and culture can have hospital-wide effects on quality. Therefore, we sought to evaluate the correlation between inpatient survival after cardiac arrest and 30-day risk-standardized mortality rates for common med ...[more]

PMID: 24221831

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Project description:National efforts to measure hospital performance in treating cardiac arrest have focused on case survival, with the hope of improving survival after cardiac arrest. However, it is plausible that hospitals with high case-survival rates do a poor job of preventing cardiac arrests in the first place.To describe the association between inpatient cardiac arrest incidence and survival rates.Within a large, national registry, we identified hospitals with at least 50 adult in-hospital cardiac arrest cases between January 1, 2000, and November 30, 2009. We used multivariable hierarchical regression to evaluate the correlation between a hospital's cardiac arrest incidence rate and its case-survival rate after adjusting for patient and hospital characteristics.The correlation between a hospital's incidence rate and case-survival rate for cardiac arrest.Of 102,153 cases at 358 hospitals, the median hospital cardiac arrest incidence rate was 4.02 per 1000 admissions (interquartile range, 2.95-5.65 per 1000 admissions), and the median hospital case-survival rate was 18.8% (interquartile range, 14.5%-22.6%). In crude analyses, hospitals with higher case-survival rates also had lower cardiac arrest incidence (r, -0.16; P = .003). This relationship persisted after adjusting for patient characteristics (r, -0.15; P = .004). After adjusting for potential mediators of this relationship (ie, hospital characteristics), the relationship between incidence and case survival was attenuated (r, -0.07; P = .18). The one modifiable hospital factor that most attenuated this relationship was a hospital's nurse-to-bed ratio (r, -0.12; P = .03).Hospitals with exceptional rates of survival for in-hospital cardiac arrest are also better at preventing cardiac arrests, even after adjusting for patient case mix. This relationship is partially mediated by measured hospital attributes. Performance measures focused on case-survival rates seem an appropriate first step in quality measurement for in-hospital cardiac arrest.

Project description:ImportanceSurvival rates after in-hospital cardiac arrest (IHCA) vary significantly among US centers; whether this variation is owing to differences in IHCA care quality is unknown.ObjectiveTo evaluate hospital-level variation to determine whether hospital process composite performance measures of IHCA care quality are associated with patient outcomes.Design, setting, and participantsUsing data from the American Heart Association's Get With the Guidelines-Resuscitation (GWTG-R) program, we analyzed 35 283 patients 18 years or older with IHCA treated at 261 US hospitals from January 1, 2010, through December 31, 2012. We calculated the hospital process composite performance score for IHCA using 5 guideline-recommended process measures. Opportunity-based scores were calculated for all patients, aggregated at the hospital level, divided into quartiles, and then associated with risk-standardized survival and neurologic status by a test for trend. The scores were then evaluated through hierarchical logistic regression and reported as odds ratios per 10% increment in hospital process composite performance.InterventionsAcute care treatments for IHCA.Main outcomes and measuresThe primary outcome was survival to discharge measured as risk standard survival rates, and the secondary outcome was favorable neurologic status at hospital discharge.ResultsOf the 35 283 adults included in this study, the median age was 67 years (interquartile range [IQR] 56-78 years), and 57.9% were male. The median IHCA hospital process composite performance was 89.7% (interquartile range, 85.4%-93.1%) and varied among hospital quartiles from 82.6% (lowest) to 94.8% (highest). The IHCA hospital process composite performance was linearly associated with risk-standardized hospital survival to discharge rates: 21.1%, 21.4%, 22.8%, and 23.4% from lowest to highest performance quartiles, respectively (P < .001). After adjustment, each 10% increase in a hospital's process composite performance was associated with a 22% higher odds of survival (adjusted odds ratio, 1.22; 95% CI, 1.08-1.37; P = .01). Hospital process composite quality performance was also associated with favorable neurologic status at discharge (P = .004).Conclusions and relevanceThe quality of guideline-based care for IHCA varies significantly among US hospitals and is associated with patient survival and neurologic outcomes.

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.

Project description:BackgroundAlthough studies have reported variation in out-of-hospital cardiac arrest (OHCA) survival by geographic location, little is known about variation in OHCA survival at the level of emergency medical service (EMS) agencies-which may have modifiable practices, unlike counties and regions. We quantified the variation in OHCA survival across EMS agencies and explored whether variation in 2 specific EMS resuscitation practices were associated with survival to hospital admission.MethodsWithin the Cardiac Arrest Registry to Enhance Survival, a prospective registry representing ≈51% of the US population, we identified 258 342 OHCAs from 764 EMS agencies with >10 OHCA cases annually during 2015 to 2019. Using hierarchical logistic regression, risk-standardized rates of survival to hospital admission were computed for each EMS agency. We quantified inter-agency variation in survival with median odds ratios and assessed the association of 2 resuscitation practices (EMS response time and the proportion of OHCAs with termination of resuscitation without meeting futility criteria) with EMS agency survival rates to hospital admission.ResultsAcross 764 EMS agencies comprising 258 342 OHCAs, the median risk-standardized rate of survival to hospital admission was 27.3% (interquartile range, 24.5%-30.1%; range: 16.0%-45.6%). The adjusted median odds ratio was 1.35 (95% CI, 1.32-1.39), denoting that the odds of survival of 2 patients with identical covariates varied by 35% at 2 randomly selected EMS agencies. EMS agencies in the lowest quartile of risk-standardized survival had longer EMS response times when compared with the highest quartile (12.0±3.4 versus 9.0±2.6 minutes; P<0.001), and a higher proportion of OHCAs with termination of resuscitation without meeting futility criteria (27.9±16.1% versus 18.9±11.4%; P<0.001).ConclusionsSurvival after OHCA varies widely across EMS agencies. EMS response times and termination of resuscitation practices were associated with agency-level rates of survival to hospital admission, suggesting potentially modifiable practices which can improve OHCA survival.

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Association between a hospital's quality performance for in-hospital cardiac arrest and common medical conditions.

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Association between a hospital's quality performance for in-hospital cardiac arrest and common medical conditions.

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