This study aimed to develop a systematic approach to classifying childhood cancer-related admissions in administrative data into categories that reflected clinical practice and predicted resource use. It resulted in the first description of a method for grouping indications for childhood cancer admission within an administrative dataset into clinically relevant categories. This algorithm provides a framework for more detailed analyses of pediatric hospitalization data by cancer type.
By Heidi V. Russell, M. Fatih Okcu, Kala Kamdar, Mona D. Shah, Eugene Kim, J. Michael Swint, Wenyaw Chan, Xianglin L. Du, Luisa Franzini and Vivian Ho
Click here to read "Algorithm for analysis of administrative pediatric cancer hospitalization data according to indication for admission," published Oct. 1, 2014, in BMC Medical Informatics & Decision Making