Enhancement of the Prediction of Chemotherapy Prescribing Errors for Oncology Patients

It is a cross-sectional study examining a random sample of in- and out-patients, with proven malignant disease receiving chemotherapy, over a period of 6 months from the start of the study who visit the Oncology department, Ain Shams University Teaching Hospitals. The effect of some risk factors on the prescribing error will be studied; these risk factors include the following: Tumor type ,Cancer stage ,type of comorbid illness ,type of medication , type of anti-cancer treatment , number of abnormal lab data ,type of abnormal lab data , the number of drugs in the treatment regimen , the number of side effects after chemotherapy administration, the age of patient ,the dosing frequency of anticancer ,the route of administration . Summary statistics are performed to describe patient characteristics , frequency, types and classification of medication error; and frequency with which Medication errors occur. Logistic regression will be applied to the collected data to perform a predictive relation between the risk factors which may be (categorical, continuous, or discrete) and the prescribing errors which are (categorical).