Background And Objectives: Hospital pharmacists collaborate in clinical trials by managing the reception, conservation, distribution, return and destruction of the investigational medical products (IMP). However, errors can happen during the simultaneous management of multiple trials because each clinical trial stipulates its own method for managing the drug under study. In order to promote optimal management by hospital pharmacists, we developed a method for calculating a risk of error index for each experimental protocol, and wrote standard procedures for managing trials assigned low, moderate and high risk levels, to provide hospital pharmacists with a systematic tool for reducing human error in the management of IMPs for multiple clinical trials.
Methods: Calculation of this risk of error index (ρ) entails four factors: the pharmacological risk of error (φ) inherent in the pharmacological characteristics and route of administration of the IMP (carcinogenic, mutagenic, cytotoxic nature of the drug, parental or non-parenteral administration), the technological risk of error (α) involved should drug compounding be required, the risk of error related to the number of patients enrolled (n) and the risk of error intrinsic to the protocol (π) when it involves placebos, randomisation or other factors. We developed the formula [Formula: see text] to define trials as low (ρ<50), moderate (51<ρ<150) and high risk (ρ>151) for hospital pharmacist error.
Results: Calculations of this formula for 60 active trials indicated that seven (11.7%) of the protocols were low risk of hospital pharmacist error, 43 (71.7%) were moderate risk and 10 (16.6%) were high risk. For each of these categories (low, moderate and high risk) we have outlined standard procedures in order to minimise the occurrence of any errors.
Conclusions: Following validation of our formula and standard procedures by the ISMETT Research Institute, we are promoting the use of the tool in other clinical centres as we believe it can help hospital pharmacists minimise the risk of error in managing experimental drugs for clinical trials.
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http://dx.doi.org/10.1136/ejhpharm-2024-004154 | DOI Listing |
BMJ Open
December 2024
PMV Research Group, Medical Faculty and University Hospital Cologne, University of Cologne, Koln, Germany
Introduction: In Germany, there has been no population-level pharmacoepidemiological study on the safety of the COVID-19 vaccines. One factor preventing such a study so far relates to challenges combining the different relevant data bodies on vaccination with suitable outcome data, specifically statutory health insurance claims data. Individual identifiers used across these data bodies are of unknown quality and reliability for data linkage.
View Article and Find Full Text PDFJ Sleep Res
January 2025
Flinders Health and Medical Research Institute: Sleep Health, Flinders University, Adelaide, South Australia, Australia.
Sleepiness-related errors are a leading cause of driving accidents, requiring drivers to effectively monitor sleepiness levels. However, there are inter-individual differences in driving performance after sleep loss, with some showing poor driving performance while others show minimal impairment. This research explored if there are differences in self-reported sleepiness and driving performance in healthy drivers who exhibited vulnerability or resistance to objective driving impairment following extended wakefulness.
View Article and Find Full Text PDFArthroscopy
January 2025
Kansas City Orthopedic Alliance, 10777 Nall Avenue, Overland Park, KS 66224. Electronic address:
As surgeons, we strive to recognize and correct any mistakes that may occur before completing an operation, and importantly, do our best to avoid irreversible mistakes. Over-resection of the femoral cam lesion in patients having hip arthroscopy for femoroacetabular impingement syndrome has been considered irreversible. While cam under-resection is a technical complication of femoroacetabular impingement surgery to be avoided, avoiding this at the expense of over-resection of the proximal femur is of great concern.
View Article and Find Full Text PDFJ Am Med Dir Assoc
January 2025
Department of Rehabilitation Medicine, Jikei University School of Medicine, Minato-ku, Tokyo, Japan.
Objectives: For older adults, spending time out of bed is important for preventing functional decline, but its relationship to mortality is not clear. In this study, we aimed to investigate the association between mortality and time spent out of bed in Japanese older-adult nursing home residents.
Design: We conducted a cohort study using data from the Long-term Care Information System for Evidence database.
J Occup Environ Hyg
January 2025
Center for Environmental Solutions and Emergency Response, United States Environmental Protection Agency, Cincinnati, Ohio.
Chemical release data are essential for performing chemical risk assessments to understand the potential exposures arising from industrial processes. Often, these data are unknown or unavailable and must be estimated. A case study of volatile organic compound releases during extrusion-based additive manufacturing is used here to explore the viability of various regression methods for predicting chemical releases to inform chemical assessments.
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