Deprescribing, the process of safely reducing or discontinuing unnecessary or harmful medication, has the potential to decrease polypharmacy and improve health outcomes. In this study a structured implicit algorithm, focusing on both extrinsic medication factors (eg change in disease) and intrinsic patient factors (eg. pill burden) will be used.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
75
For this study an implicit, evidence-supported and patient-centred algorithm has been developed. The outcome of the algorithm is an advice to the doctor to deprescribe or not deprescribe the statin and/or PPI.
Lemborgh
Sittard, Limburg, Netherlands
Decrease in pill burden (the number of statins and PPI's)
On T0 (intervention) and on T1 + T2 (3 and 6 months after intervention), we will measure the number of PPI's and statins on the medication list of every participant. These are provided by the pharmacist.
Time frame: 3 and 6 months after intervention.
Decrease in pill burden (the dose of statins and PPI's)
On T0 (intervention) and on T1 + T2 (3 and 6 months after intervention), we will measure the dose of PPI's and statins on the medication list of every participant. These are provided by the pharmacist.
Time frame: 3 and 6 months after intervention.
All possible negative side effects of deprescribing (e.g. nausea, symptom recurrence)
All possible negative effects of deprescribing as recognised by the doctor involved, e.g. symptom recurrence.
Time frame: From intervention to six months after intervention
Feasibility to use this algorithm.
Three and six months after intervention we will ask the participating doctors the next questions (per included participant): * What did the algorithm advice you? * Did you follow the advice? * Why dit you follow/deny the advice?
Time frame: 3 and 6 months after intervention
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