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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedBergethon KE, Ju C, DeVore AD
Trends in 30-day readmission rates for patients hospitalized with heart failure: findings from the Get With The Guidelines-Heart Failure Registry.
The researchers analyzed data from the Heart Failure registry linked to Medicare claims between 2009 and 2012 to describe trends and relative reduction of rates of 30-day all-cause readmission among patients with heart failure. They concluded that although there has been slight improvement in 30-day all-cause readmission rates during the past 4 years in patients with heart failure, few hospitals have seen large success.
AHRQ-funded; HS021092.
Citation: Bergethon KE, Ju C, DeVore AD .
Trends in 30-day readmission rates for patients hospitalized with heart failure: findings from the Get With The Guidelines-Heart Failure Registry.
Circ Heart Fail 2016 Jun;9(6). doi: 10.1161/circheartfailure.115.002594.
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Keywords: Guidelines, Heart Disease and Health, Hospital Readmissions, Hospitalization, Registries
Hu Y, McMurry TL, Stukenborg GJ
Readmission predicts 90-day mortality after esophagectomy: analysis of surveillance, epidemiology, and end results registry linked to Medicare outcomes.
The purpose of this study was to characterize postesophagectomy readmissions and determine their relationship with subsequent 90-day mortality. It found that one in 5 esophagectomy patients are readmitted early after discharge. Readmitted patients have a 5-fold increase in early mortality.
AHRQ-funded; HS018049.
Citation: Hu Y, McMurry TL, Stukenborg GJ .
Readmission predicts 90-day mortality after esophagectomy: analysis of surveillance, epidemiology, and end results registry linked to Medicare outcomes.
J Thorac Cardiovasc Surg 2015 Nov;150(5):1254-60. doi: 10.1016/j.jtcvs.2015.08.071..
Keywords: Hospital Readmissions, Mortality, Outcomes, Registries, Surgery
Ayers DC, Fehring TK, Odum SM
Using joint registry data from FORCE-TJR to improve the accuracy of risk-adjustment prediction models for thirty-day readmission after total hip replacement and total knee replacement.
The authors argue that registry data offer the opportunity to combine clinical information currently available in registries (such as the Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement [FORCE-TJR] registry based at the University of Massachusetts Medical School) with the administrative data currently used by CMS. Doing so will improve the risk adjustment for patients having total joint replacement by making the data more accurate and more fair for hospitals and surgeons.
AHRQ-funded; HS018910.
Citation: Ayers DC, Fehring TK, Odum SM .
Using joint registry data from FORCE-TJR to improve the accuracy of risk-adjustment prediction models for thirty-day readmission after total hip replacement and total knee replacement.
J Bone Joint Surg Am 2015 Apr 15;97(8):668-71. doi: 10.2106/jbjs.n.00889..
Keywords: Registries, Surgery, Hospital Readmissions, Risk