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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 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
Gupta S, Zengul FD, Davlyatov GK
Reduction in hospitals' readmission rates: role of hospital-based skilled nursing facilities.
The purpose of this study was to examine the association between hospital-based skilled nursing facilities (HBSNFs) and hospitals' readmission rates. Data sources included the American Hospital Association Annual Survey, Area Health Resources Files, CMS Medicare cost reports and Hospital Compare. Results showed that the presence of HBSNFs was associated with lower readmission rates for acute myocardial infarction and pneumonia. Further, higher skilled nursing facilities to hospitals ratio were associated with lower readmission rates.
AHRQ-funded; HS023345.
Citation: Gupta S, Zengul FD, Davlyatov GK .
Reduction in hospitals' readmission rates: role of hospital-based skilled nursing facilities.
Inquiry 2019 Jan-Dec;56:46958018817994. doi: 10.1177/0046958018817994..
Keywords: Hospital Readmissions, Transitions of Care, Care Coordination, Hospitals, Quality Indicators (QIs), Quality Measures, Quality of Care
Lorch SA, Passarella M, Zeigler A
Challenges to measuring variation in readmission rates of neonatal intensive care patients.
The authors examined the viability of a hospital readmission quality metric for infants requiring neonatal intensive care. They found that the California cohort showed significant variation in hospital-level readmission rates, supporting the premise that readmission rates of prematurely born infants may reflect care quality. However, state data did not include term and early term infants requiring neonatal intensive care, and there were extensive missing data in the few states with sufficient information on managed care patients to calculate state-level measures. They concluded that constructing a valid readmission measure for NICU care across diverse states and regions requires improved data collection.
AHRQ-funded; HS018661; HS020508.
Citation: Lorch SA, Passarella M, Zeigler A .
Challenges to measuring variation in readmission rates of neonatal intensive care patients.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S47-53. doi: 10.1016/j.acap.2014.06.010.
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Keywords: Neonatal Intensive Care Unit (NICU), Newborns/Infants, Quality Indicators (QIs), Quality Measures, Hospital Readmissions
Nakamura MM, Toomey SL, Zaslavsky AM
Measuring pediatric hospital readmission rates to drive quality improvement.
The investigators sought to describe the importance of readmissions in children and the challenges of developing readmission quality measures. They found that the policy focus on readmissions has motivated widespread efforts by hospitals and outpatient providers to evaluate and reengineer care processes.
AHRQ-funded; HS020513; HS020508.
Citation: Nakamura MM, Toomey SL, Zaslavsky AM .
Measuring pediatric hospital readmission rates to drive quality improvement.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S39-46. doi: 10.1016/j.acap.2014.06.012.
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Keywords: Children/Adolescents, Quality Improvement, Quality Indicators (QIs), Quality Measures, Hospital Readmissions