Causality assessment of adverse events by healthcare professionals in an academic hospital setting: a descriptive retrospective study

被引:0
|
作者
Corbin, Sonia [1 ,2 ]
Lavallee, Maude [1 ,2 ]
Pradhan, Pallavi [1 ,3 ]
Thibault, Magalie [1 ]
Methot, Julie [1 ,2 ]
Djiokeng, Laura Blonde Guefack [1 ,3 ]
Berard, Anick [4 ,5 ]
Piche, Marie-Eve [1 ,6 ]
Gimenes, Fernanda Raphael Escobar [7 ]
Darveau, Rosalie [1 ]
Cloutier, Isabelle [1 ,2 ]
Leclerc, Jacinthe [1 ,2 ]
机构
[1] Univ Laval, Inst Univ Cardiol & Pneumol Quebec, Quebec City, PQ, Canada
[2] Univ Laval, Fac Pharm, Quebec City, PQ, Canada
[3] Univ Quebec Trois Rivieres, Anat Dept, Trois Rivieres, PQ, Canada
[4] CHU St Justine Res Ctr, Montreal, PQ, Canada
[5] Univ Montreal, Fac Pharm, Montreal, PQ, Canada
[6] Univ Laval, Fac Med, Quebec City, PQ, Canada
[7] Univ Sao Paulo, Ribeirao Preto Coll Nursing, Dept Gen & Specialized Nursing, Sao Paulo, SP, Brazil
关键词
causality assessment; pharmacovigilance; adverse drug reactions; hospital; patient safety; DRUG-REACTIONS;
D O I
10.1139/cjpp-2024-0268
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Assessing the causality of a drug product-related adverse event (AE) is a very important aspect of pharmacovigilance. However, it is unclear whether AEs are investigated for causality in a hospital setting. The aims of this study were to (1) evaluate the proportion of AEs for which causality is sought and (2) list the causality assessment (CA) tools used by healthcare professionals. This retrospective study includes 500 randomized patients (125 patients/year) admitted to a tertiary care academic hospital between 2018 and 2021. Electronic medical records were reviewed and relevant variables were extracted: (1) demographic, (2) hospitalization, (3) drug product, (4) AE, and (5) CA. A descriptive analysis was carried out (median, minimum-maximum, proportion) to characterize our sample. The characteristic of our sample was as follows: median age 69 years old (range: 21-96 years), 43.6% female, median comorbidities/patient 4 (0-12), and median hospital stay of 3 days (1-19). We identified a total of 9568 drug products and 2541 AEs, among these, 302 (8.4%) were serious AEs. No CA (n = 0) or CA tools (n = 0) were found in our sample. In this study, we report that no AEs, whether serious or non-serious, were subject to documented CA.
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页数:10
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