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INTRODUCTION: The National Oncology Institute of Morocco's (NIO) shift to an automated cytotoxic drug preparation system (PHARMODUCT®) has prompted an evaluation of its economic and clinical impacts compared to traditional manual methods. METHODS: A retrospective cost-benefit analysis over six months, extrapolated to annual projections, assessed initial investments, labour, equipment, drugs and consumables. Four commonly used chemotherapy drugs were analyzed, with a focus on the cost implications of drug waste in manual preparation versus the efficiency of vial-sharing in automated methods. RESULTS: The automated system incurred a higher initial cost $2,934,098.74, but reduced annual drug consumption costs by 19.74% and drug-related expenses by $41,228.27. It also decreased personnel costs by $48,073.35. Despite the upfront investment, the system is projected to break even within two years, with no medication waste due to its vial-sharing capability. CONCLUSION: The initial higher investment in pharmaceutical automation promises considerable long-term savings and efficiency gains. Despite the study's limited scope and duration, the findings endorse the adoption of automated systems in oncology pharmacy settings for sustainable financial management and improved clinical outcomes.
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OBJECTIVE: Chemotherapy medications are usually having high costs, and new targeted drugs can be especially expensive, representing a challenge on healthcare, particularly in low- and middle-income countries. As cytotoxic leftover management is crucial for reducing medication wastage, the aim of this study is to evaluate and optimize leftover management circuit in NIO'S Pharmacy Centralized Chemotherapy Preparation Unit (CCPU) through a Failure Mode, Effects and Criticality Analysis (FMECA), and propose continuous improvement element to enhance the security of the process. METHOD: The FMECA were conducted in NIO's CCPU from March to May 2023, then continuous improvement plan was established to enhance the security of the process. The failure modes, their causes, impact, and criticality were assessed through criticality index calculation (CI = severity × frequency × detectability), and the risk concerned safety and effectiveness disruptions in chemotherapy preparation circuit using cytotoxic leftover. RESULTS: Leftover management circuits were described in flowchart form, where 18 failure modes were detected in four different steps of the process from chemotherapy preparation to disposal. Failure with highest critical index were detected in the case of equipment malfunction, improper storage temperature, and humidity. Continuous improvement recommendations were proposed in a table form. CONCLUSION: FMECA analysis applied to NIO's chemotherapy leftover management process allowed us to evaluate, secure, and optimize the circuit, and to propose several actions to implement in a perspective of continuous improvement.
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INTRODUCTION: In the last few years, pharmaceutical technology has evolved. In the field of oncology pharmacy, robots for the preparation of anti-cancer drugs have appeared to progressively replace manual preparation. The objective of this study is to evaluate the contribution of the robot in reducing the risk of manual preparation. METHODS: The study was conducted at the pharmacy of the National Institute of Oncology in Rabat (May-August 2021). The method used to compare the two types of preparation is the method of analysis of failure modes, their effects and their criticality (FMECA). It will calculate the criticality index (CI = severity × frequency × detectability). The risks have been categorized into human, technical, and environmental risks. RESULTS: The anticancer drugs reconstitution step was the most critical in manual preparation (CI = 126.7) and robotic preparation (CI = 40.7). The robot has made it possible to reduce several CIs of manual preparation including: musculoskeletal disorders of pharmacy operators -93 (89%), error in cancer drug and diluent selection -72 (60%), as well as lack of traceability -145 (97%). CONCLUSION: The preparation robot has made it possible to reduce many of the risks of manual preparation, and constitutes an important advance in the field of oncology pharmacy.
