Project Overview

Patients on hemodialysis (HD) take 12 medications per day on average. Many of these medications lack high-quality evidence to show their effectiveness and safety in HD patients. Deprescribing tools have been developed to reduce the use of unnecessary medications and have been successful in the elderly population. We have conducted a pilot study using a deprescribing tool in our HD unit. In our study, we were able to deprescribe medications in 77% of patients and found that more than 80% of medications were being used inappropriately.

This project will develop tools to help reduce the use of medications that lack evidence for effectiveness and safety in HD patients. Our first objective will be to identify a list of potential medications to deprescribe. By analyzing provincial databases, our research group will assess the use of inappropriate medications in HD patients. Using the results, our group will develop medication-specific deprescribing algorithms. Our last objective will be to validate these algorithms using a national consensus method called a modified Delphi approach. These national consensus-driven medication deprescribing algorithms will then be put into use in hemodialysis units across Canada. The goal of these algorithms will be to reduce the use of unnecessary medications and all the associated negative outcomes.

STOP Med-HD: Strategic optimization of prescription medication use in patients on hemodialysis

Project lead(s):

Dr. Marisa Battistella

Patient lead(s):

Blair Waldvogel

Research theme(s):

Dialysis, Deprescribing

Project video

Visual Abstract

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Impact Stories

Publications

  • Relationship between serum inflammatory markers and vascular function in a cohort of adolescents with type 1 diabetes

    Cytokine

    Sochett E, Noone D, Grattan M, Slorach C, Moineddin R, Elia Y, Mahmud FH, Dunger DB, Dalton N, Cherney D, Scholey J, Reich H, Deanfield J.

    Research Project: AdDIT

    Keywords: Diabetes

  • Hyperfiltration, urinary albumin excretion, and ambulatory blood pressure in adolescents with Type 1 diabetes mellitus

    American Journal of Physiology – Renal Physiology

    Lovshin JA, Škrtić M, Bjornstad P, Moineddin R, Daneman D, Dunger D, Reich HN, Mahmud F, Scholey J, Cherney DZI, Sochett E

    Research Project: AdDIT

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