National Healthcare Quality and Disparities Report
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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 2 of 2 Research Studies DisplayedNakamura MM, Toomey SL, Zaslavsky AM
Potential impact of initial clinical data on adjustment of pediatric readmission rates.
This study investigated whether the addition of adding initial clinical data to adjust for case-mix (differences in patient populations) improved prediction of pediatric readmissions. Thirty-day readmissions were examined using claims and electronic records for patients aged 18 and younger who were admitted to 3 children’s hospitals from February 2011 to February 2014. The Pediatric All-Condition Readmission Measure was used and started with a model including age, gender, chronic conditions, and primary diagnosis. Initial vital sign and laboratory data was added to see if it improved model performance. Greater readmission risk was found if there was a low red blood cell count and mean corpuscular hemoglobin concentration and high red cell distribution risk. However, it did not provide more than minimal improvement in performance.
AHRQ-funded; HS020513; HS025299.
Citation: Nakamura MM, Toomey SL, Zaslavsky AM .
Potential impact of initial clinical data on adjustment of pediatric readmission rates.
Acad Pediatr 2019 Jul;19(5):589-98. doi: 10.1016/j.acap.2018.09.006..
Keywords: Children/Adolescents, Hospital Readmissions, Risk, Quality Indicators (QIs), Quality Measures, Quality of Care
Horwitz LI, Bernheim SM, Ross JS
Hospital characteristics associated with risk-standardized readmission rates.
This national study using Medicare data examined the independent association of 8 hospital characteristics with hospital-wide 30-day risk-standardized readmission rate (RSRR). Overall, larger, urban, academic facilities had modestly higher RSRRs than smaller, suburban, community hospitals, although there was a wide range of performance. The strong regional effect suggests that local practice patterns are an important influence.
AHRQ-funded; HS022882.
Citation: Horwitz LI, Bernheim SM, Ross JS .
Hospital characteristics associated with risk-standardized readmission rates.
Med Care 2017 May;55(5):528-34. doi: 10.1097/mlr.0000000000000713.
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Keywords: Hospitals, Hospital Readmissions, Medicaid, Risk, Quality of Care