跳至主要内容
临床试验/NCT03733262
NCT03733262招募中不适用

Implementation of Deprescribing and Patient Education Tools in Hemodialysis Units to Decrease Polypharmacy

University Health Network, Toronto4 个研究点 分布在 1 个国家目标入组 480 人开始时间: 2022年10月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
480
试验地点
4
主要终点
Number of patients who began any of the 9 deprescribing trials who have successfully stayed off that medications by the end of the study

研究概览

简要总结

Hemodialysis (HD) patients take more pills per day on average than any other chronically ill patient population. On average, an HD patient takes 19 medications per day, of which 70% may not be appropriate. The reason the medications may not be appropriate is that HD patients are rarely included in clinical trials for new medications and therefore the efficacy and safety data that exists for the general population may not actually apply to them. Tools to guide the re-assessment and discontinuation (deprescribing) of these specific medications that lack evidence for efficacy and safety in HD patients are needed. These tools will help reduce the amount of medications being taken and the potential negative consequences of taking so many medications (e.g. adverse drug reactions, drug interactions, non-adherence, increased risk of cognitive impairment, impaired balance and falls, and increased risk of morbidity, hospitalization, and mortality).

Nine medications that are often inappropriately prescribed to HD patients have been identified by the investigators. These medications are: Alpha-1 Blockers, Anticonvulsants, Benzodiazepines & Z-Drugs, Loop Diuretics, Prokinetic Agents, Proton Pump Inhibitors, Quinine, Urate Lowering Agents, and Statins. The investigators developed and validated tools to help medical teams in outpatient HD units with identifying and stopping these medications in their patients. The next step will be to perform a study where test these tools are tested in practice at multiple HD centers across Canada. This initiative should decrease the average number of medications per patient and inappropriate medication use in the HD units where these tools are used. The overall objective of this study is to improve current clinical practice by optimizing medication use and prescribing patterns in the HD units across Canada.

详细描述

Background: Hemodialysis (HD) patients are rarely included in clinical trials, thus medication efficacy and safety data specific to this population is lacking. Toxicity from medications inadequately removed by dialysis is also a risk for them. HD patients take an average of 19 pills daily, with 70% potentially inappropriate.

This polypharmacy increases their risk of adverse events, drug-drug interactions, non-adherence, cognitive impairment, impaired balance and falls, morbidity, hospitalization and mortality. Using provincial databases, the investigators identified 9 medication classes with uncertain indications and/or safety in HD patients: Alpha-1 Blockers, Anticonvulsants, Benzodiazepines & Z-medications, Loop Diuretics, Prokinetic Agents, Proton Pump Inhibitors, Quinine, Urate Lowering Agents and Statins. The investigators developed and validated tools for deprescribing, safety monitoring and patient education for each of these medications. The next step will be to perform an implementation study evaluating these deprescribing tools at multiple HD units across Canada.

The investigators hypothesize that implementation of these deprescribing tools will decrease polypharmacy and improve safety and patient satisfaction in these HD units. Specific Aims are to determine:

  1. Effectiveness of the deprescribing algorithms for decreasing polypharmacy (i.e. % of successful deprescribing of at least 1 of the medication classes at 6 month post implementation)
  2. Safety of the deprescribing algorithms using monitoring tools developed for each medication
  3. The impact of the deprescribing tools on patient satisfaction

Methods: In this quasi-experimental interventional cohort study, the nephrology healthcare team will assess medications for all patients as per usual practice in their respective HD units, using the deprescribing algorithms to assist in clinical decision making and patient education tools to explain rationale to patients. Participating patients will be followed for 6 months for outcomes.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 18+ years
  • Have been receiving outpatient HD treatment at one of the four study sites for at least the past three months
  • Able to read and understand English and provide consent

排除标准

  • Acute starts to HD

结局指标

主要结局

Number of patients who began any of the 9 deprescribing trials who have successfully stayed off that medications by the end of the study

时间窗: 1 year

Numbers will be given for each of the 9 drug classes and overall

次要结局

  • Number of patients who were identified as candidates for a deprescribing trial, after an assessment using one of the nine deprescribing algorithms(1 year)
  • Number of patients who were identified as candidates for a deprescribing trial (after an assessment using one of the nine deprescribing algorithms) but who did not begin a deprescribing trial due to refusal by the medical team(1 year)
  • Number of patients who were identified as candidates for a deprescribing trial (after an assessment using one of the nine deprescribing algorithms) but who did not begin a deprescribing trial due to refusal by the patient(1 year)
  • Average number of medications (including target medications and any other medications) per patient before and after this deprescribing implementation study(1 year)
  • Change in patient satisfaction scores pre-intervention vs. post-intervention, as assessed by patient satisfaction surveys (developed for this study) administered before the study and 6 months after the study start date(1 year)
  • Number of participants with treatment-related adverse events, as assessed by patient monitoring app (developed for this study)(1 year)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Marisa Battistella

Pharmacy Clinician Scientist

University Health Network, Toronto

研究点 (4)

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