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 DisplayedBucholz EM, Toomey SL, McCulloch CE EM, Toomey SL, McCulloch CE
Adjusting for social risk factors in pediatric quality measures: adding to the evidence base.
The purpose of this study was to evaluate a method for incorporating social risk variables into a pediatric measure of utilization from the Pediatric Quality Measures Program (PQMP). The researchers utilized data from California Medicaid claims (2015-16) and Massachusetts All Payer Claims Database (2014-2015) to assess health plan performance using the Pediatric Asthma Emergency Department Use measure. The study found that of 133 health plans serving 404,649 pediatric patients with asthma, 7% to 13% changed performance categories after social risk adjustment. Health plans that shifted to higher performance categories cared for lower socioeconomic status (SES) patients, while those that shifted to lower performance categories cared for higher SES patients. The study concluded that adjustment for social risk factors shifted performance rankings on the PQMP Pediatric Asthma Emergency Department Use measure for a large number of health plans.
AHRQ-funded; HS025297; HS025299.
Citation: Bucholz EM, Toomey SL, McCulloch CE EM, Toomey SL, McCulloch CE .
Adjusting for social risk factors in pediatric quality measures: adding to the evidence base.
Acad Pediatr 2022 Apr;22(3s):S108-s14. doi: 10.1016/j.acap.2021.09.023..
Keywords: Children/Adolescents, Quality Measures, Quality of Care, Risk, Social Determinants of Health
Nakamura 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