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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedLim E, Cheng Y, Reuschel C
Risk-adjusted in-hospital mortality models for congestive heart failure and acute myocardial infarction: Value of clinical laboratory data and race/ethnicity.
This study examined the impact of key laboratory and race/ethnicity data on the prediction of in-hospital mortality for congestive heart failure (CHF) and acute myocardial infarction (AMI). It found that adding a simple three-level summary measure based on the number of abnormal laboratory data observed to hospital administrative claims data significantly improved the model prediction for inpatient mortality.
AHRQ-funded; HS019990.
Citation: Lim E, Cheng Y, Reuschel C .
Risk-adjusted in-hospital mortality models for congestive heart failure and acute myocardial infarction: Value of clinical laboratory data and race/ethnicity.
Health Serv Res 2015 Aug;50 Suppl 1:1351-71. doi: 10.1111/1475-6773.12325..
Keywords: Heart Disease and Health, Mortality, Data, Inpatient Care
Wang HE, Donnelly JP, Shapiro NI
Hospital variations in severe sepsis mortality.
The authors characterized variations in severe sepsis mortality between hospitals in the United States. They used hospital discharge data from the University HealthSystem Consortium and found variations in institutional severe sepsis observed mortality rates and observed-to-expected mortality ratios.
AHRQ-funded; HS019465; HS013852.
Citation: Wang HE, Donnelly JP, Shapiro NI .
Hospital variations in severe sepsis mortality.
Am J Med Qual 2015 Jul-Aug;30(4):328-36. doi: 10.1177/1062860614534461.
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Keywords: Data, Hospitals, Mortality, Patient-Centered Outcomes Research, Sepsis
Hannan EL, Qian F, Pine M
The value of adding laboratory data to coronary artery bypass grafting registry data to improve models for risk-adjusting provider mortality rates.
The purpose of this study was to determine whether the addition of laboratory data to the clinical database for coronary artery bypass graft (CABG) would identify laboratory variables that are significant independent predictors of short-term (in-hospital / 30-day) mortality. The researchers found that there was no significant difference in the discrimination of the registry model or the combined registry/laboratory model.
AHRQ-funded; HS019965.
Citation: Hannan EL, Qian F, Pine M .
The value of adding laboratory data to coronary artery bypass grafting registry data to improve models for risk-adjusting provider mortality rates.
Ann Thorac Surg 2015 Feb;99(2):495-501. doi: 10.1016/j.athoracsur.2014.08.043..
Keywords: Registries, Mortality, Risk, Surgery, Data