TY - JOUR
T1 - Evaluating iatrogenic prescribing
T2 - Development of an oncology-focused trigger tool
AU - Hébert, Guillaume
AU - Netzer, Florence
AU - Ferrua, Marie
AU - Ducreux, Michel
AU - Lemare, François
AU - Minvielle, Etienne
N1 - Publisher Copyright:
© 2014 Elsevier Ltd. All rights reserved.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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.
AB - 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.
KW - Anticancer drug
KW - Medical audit methods
KW - Medical errors
KW - Medical errors statistics & numerical data
KW - Medication errors
KW - Medication errors adverse effects statistics & numerical data
KW - Oncology
KW - Retrospective studies
KW - Safety management
UR - http://www.scopus.com/inward/record.url?scp=84922575443&partnerID=8YFLogxK
U2 - 10.1016/j.ejca.2014.12.002
DO - 10.1016/j.ejca.2014.12.002
M3 - Article
C2 - 25549531
AN - SCOPUS:84922575443
SN - 0959-8049
VL - 51
SP - 427
EP - 435
JO - European Journal of Cancer
JF - European Journal of Cancer
IS - 3
ER -