Mia Aakjær
Postdoc
Each year drugs are withdrawn due to adverse drug reactions with a mean time of approximately 6 years from approval to withdrawal. Therefore, if we could detect signals earlier, multiple patients could potentially avoid being exposed contributing to increased patient safety. My PhD project aims to develop and test an active surveillance system allowing both signal detection and rapid evaluation as an answer to the limitations of our current pharmacovigilance. The project focuses on antidepressant safety using both traditional epidemiological methods and data mining in healthcare register data.
ID: 187375844
Most downloads
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252
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Creatinine-Based Renal Function Estimates and Dosage of Postoperative Pain Management for Elderly Acute Hip Fracture Patients
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
187
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Differences in Kidney Function Estimates Based on Creatinine and/or Cystatin C in Non-Traumatic Amputation Patients and Their Impact on Drug Prescribing
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
83
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Incidence of Direct Oral Anticoagulant use in patients with non-valvular atrial fibrillation and characteristics of users in six European countries (2008-2015): A cross-national drug utilization study
Research output: Contribution to journal › Journal article › Research › peer-review
Published