ABSTRACT
OBJECTIVES: As yet, there is no European data standard for naming and describing oncology regimens. To enable real-world cancer treatment data comparisons, the Oncology Data Network created a unified reference database for systemic anti-cancer regimens used in practice across Europe. Data are extracted from clinical systems and mapped to a single standard called the "Core Regimen Reference Library (CRRL)". An automated matching algorithm has been designed based on: drug combinations; administration schedule; and dosing and route of administration. Incomplete matches are flagged for expert review. The aim of this pilot study is to have an expert pharmacist panel test the algorithm's feasibility by comparing computerised and manual matching of regimens that are currently in use in different European countries. METHODS: The combined team pooled a diverse sample of 47 reference regimens used in Europe for solid and haematological cancers. These were then codified to the developed common data standard and the algorithm was used to match them to the CRRL. The expert pharmacist panel from the European Society of Oncology Pharmacy (ESOP) selected 12 regimens from the sample set, ranging from simple to complex, and performed a single-blind test of the algorithm, by systematically matching each original regimen to the CRRL. RESULTS: ESOP validated the algorithm's feasibility based on full concurrence between manual and computer matches thereby validating the algorithm rules and logic with regard to what defines the core characteristics of a regimen and how to compare similarities and differences. CONCLUSIONS: ESOP's validation of the matching algorithm and approach to curating a master library provides confidence in their utility for reliable comparison of real-world regimen usage across Europe.
Subject(s)
Algorithms , Pilot Projects , Single-Blind Method , Clinical Protocols , Drug CombinationsABSTRACT
WHAT IS KNOWN AND OBJECTIVE: Chemotherapy drugs are often administered in combinations with predefined interdependent doses and cycle intervals. As yet, there is no global standardization system to describe these complex regimens in a universally comprehensive manner. The aim of this review is to identify which efforts for standardization have been undertaken and which recommendations for databases and nomenclature of chemotherapy regimens are available. METHODS: A literature review was performed to identify all peer-reviewed full-text articles about oncology therapy regimen codification. In addition, the results of this search were evaluated and consensus recommendations from a European expert panel were subsequently added. RESULTS: This review gives an overview of attempts to standardize chemotherapy nomenclature described in the literature, as well as of previously published identified gaps in regimen codification. In addition, we summarized the suggestions for improvement of chemotherapy codification found in the available literature, combining them with the expertise from a European expert panel of oncology pharmacists. WHAT IS NEW AND CONCLUSIONS: We believe that one of the most important error-prevention measures is standardization. However, there is a paucity of data how it may be achieved. Currently available data suggest that standardization has a positive impact on usability for data networks, prescription software, safety and the measurement of the quality of cancer care delivery. Standardization is also a strong pre-requisite for all discussions including oncology pharmacists and oncologists when evaluating chemotherapy regimen in countries in Europe but also all over the world. The recommendations compiled in this review can help to support overdue standardization efforts in this important therapeutic area.
