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Development of Hospitalization Resource Intensity Scores for Kids (H-RISK) and Comparison across Pediatric
Troy Richardson1, Jonathan Rodean2, Mitch Harris2
1Children's Hospital Association, Lenexa, Kansas and Washington, DC, USA. troy.richardson@childrenshospitals.org.
Insights
New hospitalization resource intensity scores for kids (H-RISK) effectively identify differences in pediatric patient severity of illness (SOI) across hospital types. This tool aids in understanding pediatric healthcare resource utilization.
Area of Science:
- Pediatric Healthcare Research
- Health Services Research
- Medical Economics
Background:
- Severity of illness (SOI) measures are crucial for Medicare prospective payment models.
- Standardized measures for pediatric patient SOI are underdeveloped.
- This study addresses the need for pediatric-specific resource intensity scoring.
Purpose of the Study:
- To develop hospitalization resource intensity scores for kids (H-RISK).
- To create pediatric relative weights (RWs) for SOI.
- To compare case-mix index (CMI) across different hospital types.
Main Methods:
- Utilized the 2012 Kids' Inpatient Database (KID).
- Developed RWs for each All Patient Refined Diagnosis Related Group (APR-DRG) and SOI level.
- Calculated hospital-level CMIs by averaging RWs and compared across hospital types.
Main Results:
- The overall adjusted mean cost was $6,135 per discharge.
- Transplantations and neonatal conditions had the highest procedural and medical RWs, respectively.
- Free-standing children's hospitals showed the highest median CMI (2.7), followed by urban teaching (1.8), urban non-teaching (1.1), and rural hospitals (0.8).
Conclusions:
- H-RISK scores are sensitive to variations in pediatric patient SOI.
- The developed scores can differentiate resource intensity across hospital types.
- This facilitates a better understanding of pediatric healthcare resource allocation.
Background:
In the Medicare population, measures of relative severity of illness (SOI) for hospitalized patents have been used in prospective payment models. Similar measures for pediatric populations have not been fully developed.
Objective:
To develop hospitalization resource intensity scores for kids (H-RISK) using pediatric relative weights (RWs) for SOI and to compare hospital types on case-mix index (CMI).
Design/Methods:
Using the 2012 Kids' Inpatient Database (KID), we developed RWs for each All Patient Refined Diagnosis Related Group (APR-DRG) and SOI level. RW corresponded to the ratio of the adjusted mean cost for discharges in an APR-DRG SOI combination over adjusted mean cost of all discharges in the dataset. RWs were applied to every discharge from 3,117 hospitals in the database with at least 20 discharges. RWs were then averaged at the hospital level to provide each hospital's CMI. CMIs were compared by hospital type using Kruskal- Wallis tests.
Results:
The overall adjusted mean cost of weighted discharges in Healthcare Cost and Utilization Project KID 2012 was $6,135 per discharge. Solid organ and bone marrow transplantations represented 4 of the 10 highest procedural RWs (range: 35.5 to 91.7). Neonatal APRDRG SOIs accounted for 8 of the 10 highest medical RWs (range: 19.0 to 32.5). Free-standing children's hospitals yielded the highest median (interquartile range [IQR]) CMI (2.7 [2.2-3.1]), followed by urban teaching hospitals (1.8 [1.3-2.6]), urban nonteaching hospitals (1.1 [0.9-1.5]), and rural hospitals (0.8 [0.7-0.9]; P < .001).
Conclusions:
H-RISK for populations of pediatric admissions are sensitive to detection of substantial differences in SOI by hospital type.
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