Related Experiment Videos
Accuracy of Administrative Data for Antimicrobial Administration in Hospitalized Children
Joshua D Courter1, Sarah K Parker2, Cary Thurm3
1Division of Pharmacy, Cincinnati Children's Hospital Medical, Ohio.
Abstract:
Administrative data are often used as a proxy for medication-administration record (MAR) data. Multicenter MAR data were compared retrospectively with administrative data from January 2010 through June 2013 from the Pediatric Health Information Systems database. We found that administrative data were more concordant with bill-upon-administration than bill-upon-dispense data.
Insights
Administrative data serve as a proxy for medication-administration record (MAR) data. This study found administrative data align better with billing upon administration than billing upon dispensing.
Area of Science:
- Health Informatics
- Data Management in Healthcare
- Clinical Data Analysis
Background:
- Administrative data are frequently utilized as a surrogate for medication-administration record (MAR) data in healthcare research.
- Accurate data sources are crucial for reliable clinical research and healthcare management.
Purpose of the Study:
- To compare the concordance between multicenter MAR data and administrative data.
- To determine which administrative data billing method (bill-upon-administration vs. bill-upon-dispense) is a better proxy for MAR data.
Main Methods:
- Retrospective analysis of multicenter MAR data.
- Comparison with administrative data from the Pediatric Health Information Systems database (January 2010 - June 2013).
Main Results:
- Administrative data demonstrated higher concordance with medication administration events when based on billing upon administration.
- Bill-upon-dispense data showed lower concordance compared to bill-upon-administration data.
Conclusions:
- Administrative data, particularly when linked to billing upon administration, can serve as a more reliable proxy for MAR data.
- This finding has implications for data quality in pediatric healthcare research and administrative data utilization.