» Articles » PMID: 25760019

Comparison of Administrative/billing Data to Expected Protocol-mandated Chemotherapy Exposure in Children with Acute Myeloid Leukemia: A Report from the Children's Oncology Group

Abstract

Background: Recently investigators have used analysis of administrative/billing datasets to answer clinical and pharmacoepidemiology questions in pediatric oncology. However, the accuracy of pharmacy data from administrative/billing datasets have not yet been evaluated. The primary objective of this study was to determine the concordance of Pediatric Health Information System (PHIS) administrative/billing chemotherapy data with Children's Oncology Group (COG) protocol-mandated chemotherapy and to assess the implications of this level of concordance for further PHIS research.

Procedure: Data from 384 pediatric patients (1,060 courses of chemotherapy) with acute myeloid leukemia treated on COG clinical trial AAML0531 were previously merged with PHIS data. PHIS chemotherapy administrative/billing data were reviewed for the first three courses of chemotherapy. Accuracy was assessed using three metrics: recognizability of chemotherapy pattern by course, chemotherapy administration pattern by individual medication, and concordance with the number of days of protocol-defined chemotherapy.

Results: The chemotherapy pattern was recognizable in 87.3% of courses when course-wide accuracy was assessed. Chemotherapy administration pattern varied by medication. Cytarabine had perfect concordance 70.9% of the time, daunorubicin had perfect concordance 77.4% of the time, and etoposide had perfect concordance 67.8% of the time.

Conclusions: The accuracy of chemotherapy administrative/billing data supports the continued use of PHIS data for epidemiology studies as long as investigators perform data quality control checks and evaluate each specific medication prior to undertaking definitive analyses.

Citing Articles

Informatics tools to implement late cardiovascular risk prediction modeling for population management of high-risk childhood cancer survivors.

Noyd D, Chen S, Bailey A, Janitz A, Baker A, Beasley W Pediatr Blood Cancer. 2023; e30474.

PMID: 37283294 PMC: 11110462. DOI: 10.1002/pbc.30474.


Perioperative Opioid Exposure Patterns in Pediatric Anterior Cruciate Ligament Reconstruction: A Ten-Year Administrative Database Study.

Anandarajan D, Williams B, Markiewitz N, Talwar D, Wells L Cureus. 2021; 13(3):e13927.

PMID: 33868860 PMC: 8049382. DOI: 10.7759/cureus.13927.


Bortezomib with standard chemotherapy for children with acute myeloid leukemia does not improve treatment outcomes: a report from the Children's Oncology Group.

Aplenc R, Meshinchi S, Sung L, Alonzo T, Choi J, Fisher B Haematologica. 2020; 105(7):1879-1886.

PMID: 32029509 PMC: 7327649. DOI: 10.3324/haematol.2019.220962.


An overview of disparities in childhood cancer: Report on the Inaugural Symposium on Childhood Cancer Health Disparities, Houston, Texas, 2016.

Scheurer M, Lupo P, Schuz J, Spector L, Wiemels J, Aplenc R Pediatr Hematol Oncol. 2018; 35(2):95-110.

PMID: 29737912 PMC: 6685736. DOI: 10.1080/08880018.2018.1464088.


Hospital Variation in Intensive Care Resource Utilization and Mortality in Newly Diagnosed Pediatric Leukemia.

Fitzgerald J, Li Y, Fisher B, Huang Y, Miller T, Bagatell R Pediatr Crit Care Med. 2018; 19(6):e312-e320.

PMID: 29528977 PMC: 5986594. DOI: 10.1097/PCC.0000000000001525.


References
1.
Aplenc R, Fisher B, Huang Y, Li Y, Alonzo T, Gerbing R . Merging of the National Cancer Institute-funded cooperative oncology group data with an administrative data source to develop a more effective platform for clinical trial analysis and comparative effectiveness research: a report from the Children's.... Pharmacoepidemiol Drug Saf. 2012; 21 Suppl 2:37-43. PMC: 3359580. DOI: 10.1002/pds.3241. View

2.
Cooper T, Franklin J, Gerbing R, Alonzo T, Hurwitz C, Raimondi S . AAML03P1, a pilot study of the safety of gemtuzumab ozogamicin in combination with chemotherapy for newly diagnosed childhood acute myeloid leukemia: a report from the Children's Oncology Group. Cancer. 2011; 118(3):761-9. DOI: 10.1002/cncr.26190. View

3.
Fisher B, Zaoutis T, Leckerman K, Localio R, Aplenc R . Risk factors for renal failure in pediatric patients with acute myeloid leukemia: a retrospective cohort study. Pediatr Blood Cancer. 2010; 55(4):655-61. PMC: 3909928. DOI: 10.1002/pbc.22601. View

4.
Kaspers G, Creutzig U . Pediatric acute myeloid leukemia: international progress and future directions. Leukemia. 2005; 19(12):2025-9. DOI: 10.1038/sj.leu.2403958. View

5.
Lee D, Donovan L, Austin P, Gong Y, Liu P, Rouleau J . Comparison of coding of heart failure and comorbidities in administrative and clinical data for use in outcomes research. Med Care. 2005; 43(2):182-8. DOI: 10.1097/00005650-200502000-00012. View