Evidence mapPaperPMID 38628463Full record

ArticleKidney medicine2024

Medication Deprescribing in Patients Receiving Hemodialysis: A Prospective Controlled Quality Improvement Study.

Émilie Bortolussi-Courval, Tiina Podymow, Marisa Battistella, Emilie Trinh, Thomas A Mavrakanas, Lisa McCarthy, Joseph Moryousef, Ryan Hanula, Jean-François Huon, Rita Suri and 2 more

Open access · goldAbstract read
In one paragraph

Article in Kidney medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Émilie Bortolussi-CourvalDivision of Experimental Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
Tiina PodymowDivision of Nephrology, Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada.
Marisa BattistellaLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.
Emilie TrinhDivision of Nephrology, Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada.
Thomas A MavrakanasDivision of Nephrology, Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada.
Lisa McCarthyLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.
Joseph MoryousefFaculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
Ryan HanulaDivision of Experimental Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
Jean-François HuonDepartment of Medicine, McGill University Health Centre, Montreal, Quebec, Canada.
Rita SuriDivision of Nephrology, Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada.
Todd C LeeDivision of Experimental Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
Emily G McDonaldDivision of Experimental Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
McGill University Health Centre · CAMcGill University · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale & Objective: Patients treated with dialysis are commonly prescribed multiple medications (polypharmacy), including some potentially inappropriate medications (PIMs). PIMs are associated with an increased risk of medication harm (eg, falls, fractures, hospitalization). Deprescribing is a solution that proposes to stop, reduce, or switch medications to a safer alternative. Although deprescribing pairs well with routine medication reviews, it can be complex and time-consuming. Whether clinical decision support improves the process and increases deprescribing for patients treated with dialysis is unknown. This study aimed to test the efficacy of the clinical decision support software MedSafer at increasing deprescribing for patients treated with dialysis. Study Design: Prospective controlled quality improvement study with a contemporaneous control. Setting & Participants: Patients prescribed ≥5 medications in 2 outpatient dialysis units in Montréal, Canada. Exposures: Patient health data from the electronic medical record were input into the MedSafer web-based portal to generate reports listing candidate PIMs for deprescribing. At the time of a planned biannual medication review (usual care), treating nephrologists in the intervention unit additionally received deprescribing reports, and patients received EMPOWER brochures containing safety information on PIMs they were prescribed. In the control unit, patients received usual care alone. Analytical Approach: The proportion of patients with ≥1 PIMs deprescribed was compared between the intervention and control units following a planned medication review to determine the effect of using MedSafer. The absolute risk difference with 95% CI and number needed to treat were calculated. Outcomes: The primary outcome was the proportion of patients with one or more PIMs deprescribed. Secondary outcomes include the reduction in the mean number of prescribed drugs and PIMs from baseline. Results: In total, 195 patients were included (127, control unit; 68, intervention unit); the mean age was 64.8 ± 15.9 (SD), and 36.9% were women. The proportion of patients with ≥1 PIMs deprescribed in the control unit was 3.1% (4/127) vs 39.7% (27/68) in the intervention unit (absolute risk difference, 36.6%; 95% CI, 24.5%-48.6%; Limitations: This was a single-center nonrandomized study with a type 1 error risk. Deprescribing durability was not assessed, and the study was not powered to reduce adverse drug events. Conclusions: Deprescribing clinical decision support and patient EMPOWER brochures provided during medication reviews could be an effective and scalable intervention to address PIMs in the dialysis population. A confirmatory randomized controlled trial is needed.

Indexed as

Chronic kidney diseasedeprescribingelectronic decision supporthemodialysispolypharmacy

Identifiers

PMID38628463
PMCPMC11019279
OpenAlexW4393965931

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.