Drug utilization and expenditure of anticancer drugs for breast cancer

乳腺癌抗癌药物的药物利用和支出

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Abstract

PURPOSE: Drug utilization studies have proven to be an effective tool in the evaluation of rational drug use in different health care systems, including oncology. The drug utilization studies were used in many institutes to ensure the safe, effective and appropriate use of drugs being prescribed. The main aim of this study was to assess the utilization pattern of anticancer drugs in breast cancer patients. METHOD: A retrospective cross-sectional observational study was carried out at King Saud University Medical City (KSUMC) for 1 year from January 2016 to December 2016. All female patients diagnosed with breast cancer during this year were included in the study. RESULTS: A total of 101 patients were included in this study. Most patients received an average of three anticancer drugs. The most commonly prescribed medication was fluorouracil, epirubicin, and cyclophosphamide (FEC) regimen, which was used in 81% of patients. Combinations of FEC + docetaxel and FEC + docetaxel + trastuzumab were received by43% and 23% of patients, respectively. Docetaxel was the most commonly used drug in neoadjuvant setting, whereas letrozole and trastuzumab were prescribed more frequently in hormonal and targeted therapies, respectively. The total drug expenditure on anticancer therapy was approximately 3.8 million Saudi Riyals (S.R), with adjuvant therapy constituting over half of the total spending. In neoadjuvant settings, the spending cost for hormonal therapy was the highest. The condition of most breast cancer patients was improved during the study period, whereas only 29% of the included patients progressed. CONCLUSION: FEC was the most common regimen used in this study, consistent with the National Comprehensive Cancer Network (NCCN) guideline recommendation. Our results indicated that adherence to a clinical guideline and recommended medication regimens improved patient outcomes. Our finding indicate how analyzing drug utilization pattern could benefit institutions in managing inventory and efficiently using health care resources.

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