Epidemiological surveillance of drug safety using cumulative sequential analysis in electronic healthcare data
Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt
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Epidemiological surveillance of drug safety using cumulative sequential analysis in electronic healthcare data. / Aakjær, Mia; De Bruin, Marie Louise; Andersen, Morten.
I: Basic and Clinical Pharmacology and Toxicology, Bind 134, Nr. 1, 2024, s. 129-140.Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt
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TY - JOUR
T1 - Epidemiological surveillance of drug safety using cumulative sequential analysis in electronic healthcare data
AU - Aakjær, Mia
AU - De Bruin, Marie Louise
AU - Andersen, Morten
N1 - Publisher Copyright: © 2023 The Authors. Basic & Clinical Pharmacology & Toxicology published by John Wiley & Sons Ltd on behalf of Nordic Association for the Publication of BCPT (former Nordic Pharmacological Society).
PY - 2024
Y1 - 2024
N2 - Background: Methods for safety signal detection in electronic healthcare data analysing data sequentially are being developed to meet the limitations of spontaneous reporting systems. Objectives: This study aims to provide an overview of the literature on sequential analysis of electronic healthcare data and describe the development and testing of a novel epidemiological surveillance system. Methods: We searched Medline, Embase, PubMed, Scopus, Web of Science, and the Cochrane Library applying similar in- and exclusion criteria as those of a previous systematic review. The proposed system consisted of repeated cohort studies and was tested in an emulated prospective setting. Two signal evaluations were performed with several sensitivity analyses and a target trial emulation. Findings: In the literature, 11 studies analysed the data sequentially of which two applied traditional epidemiological methods. Epidemiological surveillance of several exposures and outcomes can be successfully conducted with the newly proposed sequential analysis of electronic healthcare data. Signal evaluation studies confirmed the results of the system. Conclusions: Very few studies in the literature analysed data at multiple time points, although this seems to be a prerequisite for testing the methods in a realistic setting. We demonstrated the feasibility of a sequential surveillance system using electronic healthcare data.
AB - Background: Methods for safety signal detection in electronic healthcare data analysing data sequentially are being developed to meet the limitations of spontaneous reporting systems. Objectives: This study aims to provide an overview of the literature on sequential analysis of electronic healthcare data and describe the development and testing of a novel epidemiological surveillance system. Methods: We searched Medline, Embase, PubMed, Scopus, Web of Science, and the Cochrane Library applying similar in- and exclusion criteria as those of a previous systematic review. The proposed system consisted of repeated cohort studies and was tested in an emulated prospective setting. Two signal evaluations were performed with several sensitivity analyses and a target trial emulation. Findings: In the literature, 11 studies analysed the data sequentially of which two applied traditional epidemiological methods. Epidemiological surveillance of several exposures and outcomes can be successfully conducted with the newly proposed sequential analysis of electronic healthcare data. Signal evaluation studies confirmed the results of the system. Conclusions: Very few studies in the literature analysed data at multiple time points, although this seems to be a prerequisite for testing the methods in a realistic setting. We demonstrated the feasibility of a sequential surveillance system using electronic healthcare data.
KW - adverse drug reactions
KW - pharmacoepidemiology
KW - pharmacovigilance
KW - postmarketing surveillance
U2 - 10.1111/bcpt.13955
DO - 10.1111/bcpt.13955
M3 - Review
C2 - 37897140
AN - SCOPUS:85176446153
VL - 134
SP - 129
EP - 140
JO - Basic and Clinical Pharmacology and Toxicology
JF - Basic and Clinical Pharmacology and Toxicology
SN - 1742-7835
IS - 1
ER -
ID: 374303672