Targeted Deprescribing in Patients on Hemodialysis
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|ClinicalTrials.gov Identifier: NCT03733262|
Recruitment Status : Not yet recruiting
First Posted : November 7, 2018
Last Update Posted : November 3, 2020
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.
|Condition or disease||Intervention/treatment|
|End Stage Renal Disease on Dialysis (Diagnosis)||Other: De-prescribing Trial|
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:
- 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)
- Safety of the deprescribing algorithms using monitoring tools developed for each medication
- 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.
The primary outcome will be proportion of individuals successfully deprescribed at least one of the 9 target medications.
Additional outcomes include:
- Adverse events associated with deprescribing and medication class specific safety outcomes (e.g. for furosemide, the investigators will be tracking blood pressure, potassium, intradialytic weight gain and heart failure admissions)
- Proportion of identified candidates who began a deprescribing trial
- Proportion of deprescribing trials declined by medical team and patient, respectively
- Patient satisfaction (using a patient survey)
- Average number of medications per patient before/after implementation
- Average medication cost savings per patient
Expected Results/Impact on Health Research: This study will determine the efficacy of the deprescribing algorithms on reducing polypharmacy in HD patients. It will also provide insights on knowledge translation, as investigators aim to educate providers and patients on the harms of polypharmacy and influence prescribing patterns in HD units nationally. This study will encourage other institutions to incorporate similar tools into their practice and encourage comprehensive and team based re-assessment of patient's medications.
|Study Type :||Observational [Patient Registry]|
|Estimated Enrollment :||480 participants|
|Target Follow-Up Duration:||6 Months|
|Official Title:||Implementation of Deprescribing and Patient Education Tools In Hemodialysis Units To Decrease Polypharmacy|
|Estimated Study Start Date :||March 1, 2021|
|Estimated Primary Completion Date :||March 1, 2023|
|Estimated Study Completion Date :||March 1, 2024|
There will be approximately 1,200 patients in the outpatient HD units from Toronto (300), Vancouver (200), Winnipeg (400) and Halifax (300). Based on a previous pilot study, it is assumed that 80% of patients have been prescribed at least one of the nine target drugs (i.e., n=960). Of those, it is assumed that 50% will be eligible for the study (i.e., n=480). Of eligible individuals, it is assumed 88% will initiate a De-prescribing Trial (Intervention Group), resulting in an anticipated cohort of n=420.
Other: De-prescribing Trial
Validated de-prescribing algorithms will be applied for any patients identified as taking one of the 9 study drugs in order to determine whether or not physician should consider a deprescribing trial. If they are are identified as candidates for deprescribing and consent to participate in the trial, they will enter the Deprescribing Trial group and begin the deprescribing trial.
- Number of patients who began any of the 9 deprescribing trials who have successfully stayed off that medications by the end of the study [ Time Frame: 1 year ]Numbers will be given for each of the 9 drug classes and overall
- Number of patients who were identified as candidates for a deprescribing trial, after an assessment using one of the nine deprescribing algorithms [ Time Frame: 1 year ]Numbers will be given for each of the 9 drug classes and overall
- 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 [ Time Frame: 1 year ]Numbers will be given for each of the 9 drug classes and overall
- 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 [ Time Frame: 1 year ]Numbers will be given for each of the 9 drug classes and overall
- Average number of medications (including target medications and any other medications) per patient before and after this deprescribing implementation study [ Time Frame: 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 [ Time Frame: 1 year ]
The patient satisfaction survey is based on the Consumer Assessment of Healthcare Providers & Systems (CAHPS®) In-Center HD Survey, which rates the medication and dialysis services. Most questions are on a Likert scale ranging from Never (1) to Always (4) or from Strongly Disagree (1) to Strong Agree (5). There are also two No (1) / Yes (2) questions and one 0 (Worst possible) to 10 (Best possible) question. The survey is divided into 3 sections: Dialysis Center Staff, Your Medications, and Deprescribing.
The average total score overall for patients before vs. after the study will be compared (higher scores indicate higher satisfaction). The average total score per section for patients before vs. after the study will also be compared.
- Number of participants with treatment-related adverse events, as assessed by patient monitoring app (developed for this study) [ Time Frame: 1 year ]
The study app will track at adverse events associated with deprescribing each of the specific medication classes. For example: for loopdiuretics, blood pressure, potassium, intradialytic weight gain and heart failure admissions will be tracked; for proton pump inhibitors, gastroesophageal reflux disease (GERD) symptom severity and frequency of antacid use will be tracked
By comparing baseline symptoms to symptoms during and at the completion of deprescribing, safety concerns will be identified.
- Estimated cost savings to the patient and to the healthcare system due to deprescribing initiative [ Time Frame: 1 year ]
The cost of medications that are deprescribed will be calculated based on a yearly supply at the current dose of the patient's therapy. Total costs will be calculated based on current practices for each province. By identifying patients who have their medication costs covered by the healthcare system, it will be possible to determine the medication cost savings to the healthcare system.
For patients who are insured through private insurance plans, or who pay cash for their medications, the provincial formulary cost represents the most conservative approach when calculating the total medication costs. This approach will therefore determine the minimum cost savings to the patient. Overall, both cost savings to the patient and the healthcare system due to deprescribing in HD patients will be determined.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03733262
|Contact: Marisa Battistella, PharmD||416-340-4800 ext firstname.lastname@example.org|
|Contact: Melissa Lefebvre, MBiotechemail@example.com|
|Canada, British Colombia|
|Providence Health Care|
|Vancouver, British Colombia, Canada, V6Z 1Y6|
|Contact: Judith Marin, PharmD 604-806-8146 firstname.lastname@example.org|
|Contact: Monica Beaulieu, MD 604 681-7191 MBeaulieu@providencehealth.bc.ca|
|Manitoba Renal Program|
|Winnipeg, Manitoba, Canada, R2V 3M3|
|Contact: Cali Orsulak, PharmD 204 770-9312 COrsulak@hsc.mb.ca|
|Contact: Clara Bohm, MD 204-787-3583 CBOHM@hsc.mb.ca|
|Canada, Nova Scotia|
|Nova Scotia Health Authority|
|Halifax, Nova Scotia, Canada|
|Contact: Jo-Anne Wilson, PharmD 902-473-5418 email@example.com|
|University Health Network|
|Toronto, Ontario, Canada, M5G 2C4|
|Contact: Marisa Batistella, PharmD 416-340-4800 ext 3207 firstname.lastname@example.org|
|Contact: Melissa Lefebvre, MBiotech 4168589786 email@example.com|
|Principal Investigator:||Marisa Battistella, PharmD||University Health Network, Toronto|