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).

Sex

All

Minimum age

18 Years

Maximum age

80 Years

Inclusion Criteria:

* in- and out-patients, with proven malignant disease receiving chemotherapy

Exclusion Criteria:

* Patients receiving experimental agents and
* patients who are too ill or unwilling to participate will be excluded.