Comparison of in‐patient costs for children treated on the AAML0531 clinical trial: A report from the Children's Oncology Group. Issue 10 (6th May 2015)
- Record Type:
- Journal Article
- Title:
- Comparison of in‐patient costs for children treated on the AAML0531 clinical trial: A report from the Children's Oncology Group. Issue 10 (6th May 2015)
- Main Title:
- Comparison of in‐patient costs for children treated on the AAML0531 clinical trial: A report from the Children's Oncology Group
- Authors:
- Getz, Kelly D.
Li, Yimei
Alonzo, Todd A.
Hall, Matthew
Gerbing, Robert B.
Sung, Lillian
Huang, Yuan‐Shung
Arnold, Staci
Seif, Alix E.
Miller, Tamara P.
Bagatell, Rochelle
Fisher, Brian T.
Adamson, Peter C.
Gamis, Alan
Keren, Ron
Aplenc, Richard - Abstract:
- <abstract abstract-type="main" xml:lang="en"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="pbc25569-sec-0001" sec-type="section"> <title>Background</title> <p>A better understanding of drivers of treatment costs may help identify effective cost containment strategies and prioritize resources. We aimed to develop a method for estimating inpatient costs for pediatric patients with acute myeloid leukemia (AML) enrolled on NCI‐funded Phase III trials, compare costs between AAML0531 treatment arms (standard chemotherapy ± gemtuzumab ozogamicin (GMTZ)), and evaluate primary drivers of costs for newly diagnosed pediatric AML.</p> </sec> <sec id="pbc25569-sec-0002" sec-type="section"> <title>Procedure</title> <p>Patients from the AAML0531 trial were matched on hospital, sex, and dates of birth and diagnosis to the Pediatric Health Information Systems (PHIS) database to obtain daily billing data. Inpatient treatment costs were calculated as adjusted charges multiplied by hospital‐specific cost‐to‐charge ratios. Generalized linear models were used to compare costs between treatment arms and courses, and by patient characteristics.</p> </sec> <sec id="pbc25569-sec-0003" sec-type="section"> <title>Results</title> <p>Inpatient costs did not differ by randomized treatment arm. Costs varied by course with stem cell transplant being most expensive, followed by Intensification II (cytarabine/mitoxantrone) and Induction I (cytarabine/daunorubicin/etoposide). Room/board and<abstract abstract-type="main" xml:lang="en"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="pbc25569-sec-0001" sec-type="section"> <title>Background</title> <p>A better understanding of drivers of treatment costs may help identify effective cost containment strategies and prioritize resources. We aimed to develop a method for estimating inpatient costs for pediatric patients with acute myeloid leukemia (AML) enrolled on NCI‐funded Phase III trials, compare costs between AAML0531 treatment arms (standard chemotherapy ± gemtuzumab ozogamicin (GMTZ)), and evaluate primary drivers of costs for newly diagnosed pediatric AML.</p> </sec> <sec id="pbc25569-sec-0002" sec-type="section"> <title>Procedure</title> <p>Patients from the AAML0531 trial were matched on hospital, sex, and dates of birth and diagnosis to the Pediatric Health Information Systems (PHIS) database to obtain daily billing data. Inpatient treatment costs were calculated as adjusted charges multiplied by hospital‐specific cost‐to‐charge ratios. Generalized linear models were used to compare costs between treatment arms and courses, and by patient characteristics.</p> </sec> <sec id="pbc25569-sec-0003" sec-type="section"> <title>Results</title> <p>Inpatient costs did not differ by randomized treatment arm. Costs varied by course with stem cell transplant being most expensive, followed by Intensification II (cytarabine/mitoxantrone) and Induction I (cytarabine/daunorubicin/etoposide). Room/board and pharmacy were the largest contributors to inpatient treatment cost, representing 74% of the total cost. Higher AML risk group (<italic>P</italic> = 0.0003) and older age (<italic>P</italic> &lt; 0.0001) were associated with significantly higher daily inpatient cost.</p> </sec> <sec id="pbc25569-sec-0004" sec-type="section"> <title>Conclusions</title> <p>Costs from external data sources can be successfully integrated into NCI‐funded Phase III clinical trials. Inpatient treatment costs did not differ by GMTZ exposure but varied by chemotherapy course. Variation in cost by course was driven by differences in duration of hospitalization through room/board charges as well as increased clinical and pharmacy charges in specific courses. Pediatr Blood Cancer 2015;62:1775–1781. © 2015 Wiley Periodicals, Inc.</p> </sec> </abstract> … (more)
- Is Part Of:
- Pediatric blood & cancer. Volume 62:Issue 10(2015:Oct.)
- Journal:
- Pediatric blood & cancer
- Issue:
- Volume 62:Issue 10(2015:Oct.)
- Issue Display:
- Volume 62, Issue 10 (2015)
- Year:
- 2015
- Volume:
- 62
- Issue:
- 10
- Issue Sort Value:
- 2015-0062-0010-0000
- Page Start:
- 1775
- Page End:
- 1781
- Publication Date:
- 2015-05-06
- Subjects:
- Tumors in children -- Periodicals
Blood -- Diseases -- Periodicals
Cancer in children -- Periodicals
618.92 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1545-5017 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/pbc.25569 ↗
- Languages:
- English
- ISSNs:
- 1545-5009
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6417.533500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3806.xml