ABSTRACT
Background: Since 2019, health care facilities have been required to report serious adverse drug reactions (ADRs) to Health Canada. Objectives: To describe the availability of information required for reporting an ADR to Health Canada from medical records using 2 methods (systematic and in-depth reporting) and to compare the time required to find the information. Methods: This retrospective and prospective descriptive study involved serious ADRs occurring in a mother-child centre and reported between April 1, 2021, and March 31, 2023. The variables needed to complete the Health Canada reporting form were collected using 2 distinct methods. Results: Among the 270 serious ADRs reported retrospectively, 140 were sampled. The average availability of variables was 82.3% (standard deviation [SD] 11.3%), with average data collection time of 50 (SD 25) minutes. For the prospective part of the study, 15 serious ADRs were studied. The availability of variables was 82.8% (SD 6.9%) and 91.9% (SD 7.8%), for systematic and in-depth reporting, respectively, with data collection times of 44 (SD 17) and 130 (SD 33) minutes, respectively. Conclusions: The challenge of finding, in patients' medical records, all of the information needed for reporting an ADR to Health Canada required an in-depth approach. However, the in-depth method took 3 times as long as a search limited to places in the record where specific information should be found. To improve record keeping, additional training for clinicians could be considered and, potentially, development of a computerized clinical record that includes a dedicated form for documenting ADRs.
Contexte: Depuis 2019, les établissements de santé doivent déclarer les réactions indésirables graves aux médicaments (RIM graves) à Santé Canada. Objectifs: Décrire la disponibilité de l'information requise pour la déclaration d'une RIM à Santé Canada dans les dossiers médicaux par deux méthodes (soit, systématique et approfondie) et comparer le temps nécessaire pour retrouver l'information. Méthode: Étude descriptive rétrospective et prospective des RIM graves survenues en centre mère-enfant et déclarées entre le 1er avril 2021 et 31 mars 2023. Les variables nécessaires pour remplir le formulaire de déclaration de Santé Canada ont été collectées par deux méthodes distinctes. Résultats: Parmi les 270 RIM graves déclarées en rétrospectif, 140 ont été échantillonnées. La disponibilité moyenne des variables était de 82,3 % (écart-type [SD] 11,3 %), pour une durée de collecte de 50 (SD 25) minutes. Du côté prospectif, 15 RIM graves ont été étudiées, la disponibilité des variables était, pour chacune des méthodes respectivement, de 82,8 (SD 6,9 %) et 91,9 (SD 7,8 %), pour des temps de collecte respectifs de 44 (SD 17) et 130 (SD 33) minutes. Conclusions: La difficulté que représente l'identification de toutes les informations requises dans les dossiers médicaux pour la déclaration d'une RIM à Santé Canada nécessite une recherche approfondie. Toutefois, la recherche approfondie demande trois fois plus de temps qu'une recherche qui se limiterait aux endroits où l'information devrait se retrouver. Il est possible d'envisager de dispenser une formation supplémentaire aux cliniciens pour améliorer la tenue de dossiers et, éventuellement, le recours à un dossier clinique informatisé qui comprend un formulaire dédié à la documentation des RIM.
ABSTRACT
PURPOSE: Training represents a considerable portion of research activities and is vastly different for each clinical trial. This variation is partially explained by the lack of detailed regulations surrounding training procedures, which hinders the ability of investigational drug service (IDS) staff to plan their workload. The aim of this study was to quantify the workload associated with trial-specific training of IDS staff. The secondary aim was to identify the factors associated with training complexity. METHODS: A retrospective study was carried out in the IDS of a mother and child university hospital. Trial-specific documents on which the pharmacy staff was trained were analyzed. Workload was calculated by measuring reading time. The readability of each document was determined by the Flesch Reading Ease score. The complexity of the trials was established using the scoring method of Calvin-Lamas et al. The influence of the following factors on training was assessed by analysis of variance: sponsor type, research phase, and research focus by medical specialty. RESULTS: A total of 93 clinical trials and 433 documents were included. Investigator's brochures were the longest (a mean [SD] of 107 [46] pages; P < 0.0001) and most difficult documents to read (mean [SD] readability score, 25.5 [4.4]; P < 0.0001). Trials with industry sponsors required a significantly longer overall reading time (mean [SD], 12.26 [6.72] hours; P < 0.0001). On average, a mean (SD) of 9.42 (7.16) hours of reading were necessary to train one employee for a clinical trial. CONCLUSION: This study is the first to document reading time necessary for training of IDS staff. The training workload varied by sponsor type, while the research phase and medical specialty had little impact. IDS units would benefit from a tool that could identify complex trials.