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Targeted Deprescribing in Patients on Hemodialysis to Decrease Polypharmacy

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TargetedDeprescribinginPatientsonHemodialysistoDecrease

Polypharmacy

Presentation Objectives • Discuss Polypharmacy In HD patients• Define Deprescribing• Review results of the pilot study on

deprescribing in our HD unit• Discuss the goals of the CanSolve Study

on Deprescribing.

Background• Polypharmacymeans“manydrugs”- 5ormoredrugs

• Polypharmacyalsomeansinappropriatechoicesofmedicationsordoses

• HDptstakeanaverageof15medications/day

Pattersonetal.CochraneDatabaseSysRev2012;ManleyetalNDT2004

Deprescribing• “Theprocessoftapering,stopping,discontinuing,orwithdrawingdrugs,withthegoalofmanagingpolypharmacyandimprovingoutcomes”

• Associatedwithfewerreferralstolong-termcarefacilities,lowerdrugcosts,decreasedmortality

• Improvementsinpatient’sperceptionoftheirglobalhealth.

ThompsonandFarrellCanJHospPharm. (2013); 66(3):201–202

WhyDeprescribinginHemodialysis?• Hemodialysispatientshavehighpillburden

• Evidenceforefficacyofmanytherapiesislackinginhemodialysispopulation

• Safetyconcernsformedicationsthatareclearedbythekidneyandnotremovedbyhemodialysis

• Notoolsfordeprescribing availableforthispopulation

Chiuetal. ClinJAmSocNephrol.(2009);4(6):1089-96

Targeted Deprescribing in an Outpatient Hemodialysis Unit to

Decrease Polypharmacy:A Pilot Study

Objectives1. To develop deprescribing algorithms for target

medications that have poor evidence for efficacy and safety in the HD population

2. To determine the effectiveness of these algorithms in decreasing polypharmacy when incorporated into current practice in the HD unit

3. To monitor patient safety and satisfaction throughout this initiative

MethodsPhase1:DevelopmentofDeprescribing Tool• Literaturesearchperformed• Focusgroupswereconducted• Reviewed50chartstoassesshowcommontheselectedmedicationswereused

• Fivetargetmedicationswereselectedbasedonpoorevidenceforpatientsafetyandlackofevidenceforefficacy

FiveTargetedMedications• Diuretics• PPIs• Quinine• Alpha-blockers• Statins**

Medicationspecificalgorithmsweredeveloped

MethodsPhase2:ValidationofDeprescribing Tool• FaceandcontentvaliditywasassessedthroughthreerepetitivecycleswiththeNephrologistsandPharmacists

.

Methods

Phase3:ImplementationandEvaluationofDeprescribing Tool• ProspectiveObservationalPilotStudy• PatientsreceivingHDatTorontoGeneralHospitalbetweenMay2014andMarch2015wereincluded

Methods-Phase3ImplementationCollectBPMH,IdentifyTargetMedication,ApplyAlgorithm,InformTeam,ConsentPatient

Communicatewithpatienttheplan,monitorasperalgorithm

Followup6monthslater

BPMH-Best Possible Medication History

MethodsPhase3:EvaluationofDeprescribingAlgorithm• Primaryendpoint:

– proportionoftargetmedicationssuccessfullydeprescribed

• Secondaryendpoints:–Averagenumberofmedicationsperpatientbeforeandaftertheintervention

–Proportionofsuccessfuldeprescribingtrialsforeachtargetmedication

–Patientsafetyandsatisfaction

RESULTS

SelectionofPatientsFigure1:Flowchartofpatientrecruitmentandparticipation

TotalHDpatientpopulationn=240

Excluded(n=169)-takingdrugforvalidindication(n=109)-nottakingatargetmedication(n=60)-

Excludedn=36patients(40targetmedications),seeTable3

Approachedn=71patients(80targetmedications)

Recruitedn=35patients(40target

medications)

Successfullydeprescribedaftermonitoringperiod

n=27(31targetmedications)

Successfullydeprescribedafter6months

n=19(25targetmedications)

BaselineCharacteristics

Characteristic Total(n=35)Age(y)Mean+SD(Range)

65+16.5(33-92)

Gender 21males,14femalesDialysisVintage(months)Median

40(23.2,57.2)

TotalNumberofMedicationsMean+SD(Range)

13.4+4.3

ComorbiditiesHypertension 31DiabetesMellitus 21CardioVascularDisease 21

Table1:BaselineCharacteristics

Results- Endpoints• Primaryendpoint:

– 31/40(77%)medicationsweresuccessfullydeprescribed.

• Secondaryendpoints:– Theaveragenumberofmedicationsperdaydecreasedfrom13.4± 4.3to12.7± 4.4(n=35)afterthedeprescribingtrial.

– Patientsafetyandsatisfaction

Discussion• Validateandimplementasafeandpracticaltooltodeprescribe5classesofdrugsforHDpatients

• Helpedguideclinicalpractice• Increasedawarenessofinappropriatemedicationuse

Limitations• Singlecenter• Patientmaycontinuetousemedicationathome

• Anewmedicationmaybeprescribedduringdeprescribingtrial

• Didnotfollowlongtermclinicaloutcomes

Conclusion• Feasibletoincorporatethisdeprescribingtoolinroutinepracticewithoutaddedcosts– Inroutinepractice,weperformBPMHinallpatientsandwemonitoredtheparametersthatwerepartofthedeprescribing algorithm

• Increasedpatientsafety• FutureStudies- implementasaRCTinmorecentresacrossCanada

CanSolveOverallGoal• To improve current clinical practice by

decreasing polypharmacy in the HD units across Canada.

• This will be achieved by developing deprescribing algorithms for medications that lack evidence for efficacy and safety in the HD population using a systematic national, evidence-informed consensus building process

CanSolve Objectives1.To assess and compare demographic and

medication use patterns in HD patients acrossCanada.

2.To develop new deprescribing algorithms andbuild upon current deprescribing algorithms forHD patients.

3.To establish consensus driven medicationdeprescribing algorithms that will beimplemented and evaluated in clinical practicein HD units across Canada.

CanSolve Objectives1.To assess and compare demographic and

medication use patterns in HD patients acrossCanada.

2.To develop new deprescribing algorithms andbuild upon current deprescribing algorithms forHD patients.

3.To establish consensus driven medicationdeprescribing algorithms that will beimplemented and evaluated in clinical practicein HD units across Canada.

Medication Use in Ontario

0%

10%

20%

30%

40%

50%

60%

70%

CanSolve Objectives1.To assess and compare demographic and

medication use patterns in HD patients acrossCanada.

2.To develop new deprescribing algorithms andbuild upon current deprescribing algorithms forHD patients.

3.To establish consensus driven medicationdeprescribing algorithms that will beimplemented and evaluated in clinical practicein HD units across Canada.

Digitalpolloftop12drugstode-prescribe1.PPI2.Allopurinol3.Quinine4.Diuretics5.Alphablockers6.Benzodiazepines/hypnnotics7.Statins8.Anticonvulsants- gabapentin/pregablin9.Prokinetics- metoclopramide/domperidone10.TCAs(antidepressants)11.Warfarin12.Opioids

Algorithm Development1.PPI2.Allopurinol3.Quinine4.Diuretics5.Alphablockers6.Benzodiazepines/hypnnotics7.Statins8.Anticonvulsants- gabapentin/pregablin9.Prokinetics- metoclopramide/domperidone

Example of Algorithm-PPIs

Objectives1.To assess and compare demographic and

medication use patterns in HD patients acrossCanada.

2.To develop new deprescribing algorithms andbuild upon current deprescribing algorithms forHD patients.

3.To establish consensus driven medicationdeprescribing algorithms that will beimplemented and evaluated in clinical practicein HD units across Canada.

Discussion/ Questions