Background: Medical terminologies are commonly used in medicine. For instance, to answer a pharmacovigilance question, pharmacovigilance specialists (PVS) search in a pharmacovigilance database for reports in relation to a given drug. To do that, they first need to identify all MedDRA terms that might have been used to code an adverse reaction in the database, but terms may be numerous and difficult to select as they may belong to different parts of the hierarchy. In previous studies, three tools have been developed to help PVS identify and group all relevant MedDRA terms using three different approaches: forms, structured query-builder, and icons. Yet, a poor usability of the tools may increase PVS' workload and reduce their performance. This study aims to evaluate, compare and improve the three tools during two rounds of formative usability evaluation.
Methods: First, a cognitive walkthrough was performed. Based on the design recommendations obtained from this evaluation, designers made modifications to their tools to improve usability. Once this re-engineering phase completed, six PVS took part in a usability test: difficulties, errors and verbalizations during their interaction with the three tools were collected. Their satisfaction was measured through the System Usability Scale. The design recommendations issued from the tests were used to adapt the tools.
Results: All tools had usability problems related to the lack of guidance in the graphical user interface (e.g., unintuitive labels). In two tools, the use of the SNOMED CT to find MedDRA terms hampered their use because French PVS were not used to it. For the most obvious and common terms, the icons-based interface would appear to be more useful. For the less frequently used MedDRA terms or those distributed in different parts of the hierarchy, the structured query-builder would be preferable thanks to its great power and flexibility. The form-based tool seems to be a compromise.
Conclusion: These evaluations made it possible to identify the strengths of each tool but also their weaknesses to address them before further evaluation. Next step is to assess the acceptability of tools and the expressiveness of their results to help identify and group MedDRA terms.
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http://dx.doi.org/10.1186/s12911-020-01280-1 | DOI Listing |
Naunyn Schmiedebergs Arch Pharmacol
January 2025
University Clinic for Psychiatry and Psychotherapy, Brandenburg Medical School Immanuel Klinik Rüdersdorf, Seebad 82/83, Rüdersdorf bei Berlin, 15562, Rüdersdorf, Germany.
Sexual dysfunctions (SD) are common and debilitating side effects of antipsychotics. The current study analyzes the occurrence of antipsychotic-related SD using data from the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). FAERS was queried for sexual dysfunction adverse events (encoded by 35 different MedDRA preferred terms) secondary to amisulpride, aripiprazole, chlorprothixene, clozapine, haloperidol, loxapine, olanzapine, pipamperone, quetiapine, risperidone, and ziprasidone from 2000 to 2023.
View Article and Find Full Text PDFEur J Heart Fail
January 2025
Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Aims: In VERTIS CV, ertugliflozin was associated with a 30% risk reduction for adjudication-confirmed, first and total hospitalizations for heart failure (HHF) in participants with type 2 diabetes and atherosclerotic cardiovascular disease. We evaluated the impact of ertugliflozin on the broader spectrum of all reported heart failure (HF) events independent of adjudication confirmation.
Methods And Results: Data from participants who received ertugliflozin (5 or 15 mg) were pooled and compared versus placebo.
Front Pharmacol
December 2024
Department of Clinical Psychology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Background: Deutetrabenazine is a widely used drug for the treatment of tardive dyskinesia (TD), and post-marketing testing is important. There is a lack of real-world, large-sample safety studies of deutetrabenazine. In this study, a pharmacovigilance analysis of deutetrabenazine was performed based on the FDA Adverse Event Reporting System (FAERS) database to evaluate its relevant safety signals for clinical reference.
View Article and Find Full Text PDFArch Dermatol Res
December 2024
Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Wuhan, 430022, China.
Objective: We analyzed adverse events (AEs) related to adalimumab and etanercept using the Food and Drug Administration Adverse Event Reporting System (FAERS) to detect unexpected AEs. Subsequently, we compared the discrepancy in serious outcomes involving the same injection site reactions (ISRs) between two different medications.
Methods: Four algorithms, including reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) were used to identify AE signals.
Sci Rep
December 2024
Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research (NIPER), SAS Nagar (Mohali), Punjab, India.
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