Development of a 'ready-to-use' tool that includes preventability, for the assessment of adverse drug events in oncology.

Background Adverse drug events (ADEs) occur frequently in oncology and justify continuous assessment and monitoring. There are several methods for detecting them, but the trigger tool method seems the most appropriate. Although a generic tool exists, its use for ADEs in oncology has not been convincing. The development of a focused version is therefore necessary. Objective To provide an oncology-focused trigger tool that evaluates the prevalence, harm, and preventability in a standardised method for pragmatic use in ADE surveillance. Setting Hospitals with cancer care in France. Method The tool has been constructed in two steps: (1) constitution of an oncology-centred list of ADEs; 30 pharmacists/practitioners in cancer care from nine hospitals selected a list of ADEs using a method of agreement adapted from the RAND/UCLA Appropriateness Method; and (2) construction of three standardised dimensions for the characterisation of each ADE (including causality, severity, and preventability). Main outcome measure The main outcome measure was validation of the tool, including preventability criteria. Results The tool is composed of a final list of 15 ADEs. For each ADE, a 'reviewer form' has been designed and validated by the panel. It comprises (1) the trigger(s), (2) flowcharts to guide the reviewer, (3) criteria for grading harm, and (4) a standardised assessment of preventability with 6-14 closed sentences for each ADE in terms of therapeutic management and/or prevention of side-effects. Conclusion A complete 'ready-to-use' tool for ADE monitoring in oncology has been developed that allows the assessment of three standardised dimensions.

Evaluating iatrogenic prescribing: development of an oncology-focused trigger tool.

BACKGROUND: Drug-related iatrogenic effects are common in oncology because chemotherapy is toxic. The evaluation of the application of the guidelines may be a way to understand the occurrence of adverse drug-related event (ADE). There is no specific method for identifying ADEs and measuring harm to patients in oncology. OBJECTIVE: Our objective was to develop and test an Oncology Trigger Tool (OTT) for ADEs and to describe ADE characteristics and incidence. METHODS: A clinical advisory panel identified situations at high risk of ADE occurrence and built 22 triggers with, in each case, an analysis flowchart to confirm or refute occurrence. The OTT was used to review 288 random admissions (Oct. 2010-Sept. 2011) and measure ADE incidence and severity (CTCAE 4.03 - Common Terminology Criteria for Adverse Events). Tool feasibility (time required), inter-rater (IR) reproducibility and positive predictive value (PPV) were measured. RESULTS: Overall, 884 triggers were detected and 122 ADEs, with 42.4 ADEs/100 admissions or 46.0 ADEs/1000 patient-days, and a 31.1% rate of severe ADEs. The most common ADEs were hyperglycaemia (14.5%), unplanned drug-related admission within 30 days (13.7%) and opiate-induced constipation (12.1%). Unplanned drug-related admission was the most serious (82.4% incidence of severe harm). Mean time for OTT implementation was 21.8 min; IR reproducibility was high (κ=0.965 (trigger); κ=0.935 (ADE); κ=0.853 (harm)); PPV 22-trigger version was 20.7%. CONCLUSIONS: ADE analysis flowcharts coupled with standardised grading of harm considerably reduced IR variability, thus providing a robust oncology-focused trigger tool for use in ADE audits and hospital comparisons. The involvement of a clinical advisory panel in tool development should help drive changes for improving practice. Further research on the OTT is warranted.