Hovius, B. (2025) Development of computerized algorithms to classify transitions in cardiometabolic medications in deprescribing studies based on pharmacy dispensing data. Research Project, Pharmacy.
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Abstract
More research into deprescribing cardiometabolic medication is needed. During deprescribing, medication is de-intensified. Tools are needed that automatically assess whether transitions in medication use are de-intensifications. We developed four algorithms (one for lipid lowering, blood glucose lowering, blood pressure lowering and antithrombotic agents) and computerized and validated the first two. The algorithm for lipid lowering agents classified all medication transitions correct, of which 89.1% received a classification fully automated. The algorithm for blood glucose lowering agents classified all transitions correct, of which 21.1% automatically, which will be improved later. The other algorithms will be computerized and validated later. The algorithms will be used in the CO-DEPRESCRIBE study and can after adaptations be used in other deprescribing settings.
| Item Type: | Thesis (Research Project) |
|---|---|
| Supervisor name: | Denig, P. and Taxis, K. |
| Degree programme: | Pharmacy |
| Thesis type: | Research Project |
| Language: | English |
| Date Deposited: | 14 May 2025 13:15 |
| Last Modified: | 14 May 2025 13:15 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/35134 |
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