an analysis of the sniv dataset 2016 regarding the...

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Advice report | SNIV protocol and data 2016 | Arsen Barseghian AN ANALYSIS OF THE SNIV DATASET 2016 REGARDING THE ANTIBIOTIC USE IN DIFFERENT NURSING HOMES An advisory report on the possible improvements of the SNIV protocol SUPERVISORS: On location: prof. Dr. Linda Verhoef University: prof. dr. Katja Taxis Science, Business & Policy: prof. dr. Gert-Jan Euverink Educational institution: University of Groningen, Faculty of Mathematics and Natural Sciences Specialization Science, Business & Policy Author: Arsen Barseghian Student number: s1825852 Master Programme: Medical Pharmaceutical Sciences Internship Organisation: RIVM Date: 08-07-2017

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Page 1: AN ANALYSIS OF THE SNIV DATASET 2016 REGARDING THE …fse.studenttheses.ub.rug.nl/16005/1/Adviesrapport_Arsen... · 2018-02-15 · SWOT-analysis of the second advice .....38 Table

Advicereport|SNIVprotocolanddata2016|ArsenBarseghian

ANANALYSISOFTHESNIVDATASET2016REGARDINGTHEANTIBIOTICUSEINDIFFERENTNURSINGHOMESAnadvisoryreportonthepossibleimprovementsoftheSNIVprotocol

SUPERVISORS: Onlocation:prof.Dr.LindaVerhoefUniversity:prof.dr.KatjaTaxisScience,Business&Policy:prof.dr.Gert-JanEuverink

Educationalinstitution: UniversityofGroningen,FacultyofMathematicsandNaturalSciencesSpecializationScience,Business&Policy

Author:ArsenBarseghianStudentnumber:s1825852 MasterProgramme:MedicalPharmaceuticalSciencesInternshipOrganisation:RIVMDate:08-07-2017

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Disclaimer

This report has been produced in the framework of an educational program at the University ofGroningen,Netherlands,FacultyofMathematicsandNaturalSciences,ScienceBusinessandPolicy(SBP)Curriculum.Norightsmaybeclaimedbasedonthisreport,otherthandescribedintheformalinternshipcontract. Citations are only possible with explicit reference to the status of the report as a studentinternshipproduct.

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ContentsListofTablesandFigures.............................................................................................................................4

Listofabbreviations.....................................................................................................................................5

Prologue.......................................................................................................................................................6

Executivesummary......................................................................................................................................7

I.Introduction..............................................................................................................................................8

IIa.Selectionofnursinghomesandresidents............................................................................................14

Participatingnursinghomesandresidents............................................................................................15

IIb.Datacollection.....................................................................................................................................16

Reasonsfornoparticipation..................................................................................................................16

IIIa.Residentcharacteristics.......................................................................................................................17

IIIb.Dataanalysis.......................................................................................................................................20

IIIc.Statisticalanalysis................................................................................................................................20

ABuseindifferentperiods.....................................................................................................................22

ABuseindifferentnursinghomes.........................................................................................................24

ABuseindifferentspecialisms...............................................................................................................27

VariationinABuseinNHsandthemeanofABuseintheNetherlands................................................32

Conclusionofscienceresults.................................................................................................................35

IV/VAdvice/Implementation.....................................................................................................................36

DigitalizationoftheElectronicaClientsDossier(ECD)...........................................................................36

SNIVparticipationcertificate(includingatraining)...............................................................................37

Selfregistration......................................................................................................................................39

References..................................................................................................................................................40

AppendixI..................................................................................................................................................43

Appendix2.................................................................................................................................................44

Appendix3.................................................................................................................................................45

Appendix4.1..............................................................................................................................................46

Appendix4.2..............................................................................................................................................47

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ListofTablesandFigures

Table1.ConditionfortheSNIVprotocol...................................................................................................14Table2.In-andexclusioncriteriaforclients..............................................................................................15Table3.Usabledataofthedatabaseusedforthestudy...........................................................................18Table4.FactorsusedinthisstudytocorrelatetoABuse.........................................................................20Table5.Medicineclassesusedinnursinghomesin2016.........................................................................22Table6.Medicineclassesusedindifferentnursinghomesin2016..........................................................24Table7.PercentageoftheantibioticuseofdifferentspecialismsofallthenursinghomesinApril201628Table8.PercentageoftheantibioticuseofdifferentdepartmentsofallthenursinghomesinNovember2016...........................................................................................................................................................29Table9.SWOT-analysisofthefirstadvice.................................................................................................37Table10.SWOT-analysisofthesecondadvice..........................................................................................38Table11.SWOT-analysisofthethirdadvice..............................................................................................39

Figure1.Registrationofinfectionduringadmission.................................................................................11Figure2.ParticipantsinAprilandNovember2016...................................................................................15Figure3.Reasonsgivenbynursinghomeclusterswhenaskedwhythedoordon’tparticipatetotheSNIVprotocolin2016.................................................................................................................................17Figure4.AmountofDDDsper1000residents/dayinnursinghomesin2016..........................................23Figure5.ABusepernursinghomeinApril2016.......................................................................................25Figure6.ABusepernursinghomeinNovember2016..............................................................................26Figure7.ABuseperspecialisminApril2016.............................................................................................30Figure8.ABuseperspecialisminNovember2016...................................................................................31Figure9.VariationinABusersinnursinghomesbetweenandwiththenursinghomeclustersinApril2016...........................................................................................................................................................33Figure10.VariationinABusersinnursinghomesbetweenandwiththenursinghomeclustersinNovember2016..........................................................................................................................................34

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ListofabbreviationsAB: AntibioticsATC: AnatomicTherapeuticChemicalclassificationBRMO: BijzonderResistantMicro-OrganismsDDD: DefinedDailyDoseECD: ElectronicallyClientDossierESBL: ExtendedSpectrumBeta-LactamaseHCAI: HealthCareAssociatedInfectionLRTI: LowerrespiratorytractinfectionMDRO:Multi-DrugResistantOrganismMRSA: MethicillinResistantStaphylococcusAureusNHs: NursinghomesPEG: PercutaneousendoscopicgastrostomyPG: PsychogeriatricRIVM: RijksinstituutVolksgezondheidenMilieu(NationalInstituteforPublicHealthandEnvironment)SNIV: SurveillanceNetwerkInfectieziektenVerpleeghuizenSPSS: StatisticalPackagefortheSocialSciences(statisticalcomputerprogramme)SWOT: Strength,Weakness,OpportunityandThreatsUTI: UrinarytractinfectionVRE: VancomycinResistantEntrococciWHO: WorldHealthOrganisationWIP: WorkgroupInfectionPrevention

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PrologueThisrapportisdirectedtotheRIVMwiththemaingoaltoadvicetheRIVMabouttheprocessinwhichtheSNIVprotocolisbeingexecutedandhowmoreparticipantscanbemotivatedtoenrollintothisregistrationprocess.Inthepast6months,Ihavelearnedalotandinmoredetailabouthowtoorganizemyworkproperly.Ihavelearnedtosetupdeadlinesandberesponsibleforthem,workinginateamandexplainingmyworkdevelopments.MajoradvanceshavebeenachievedinmySPSSworkingmethodandIhavelearnedtoworkwiththestatisticalprogramR.ThebiggestimprovementisthatIhavelearnedtolookatacompanyinadifferentway.Toseethebiggerpicturewhenaproblemisdefinedandtoseehowtheseproblemscanbesolved.MeaningIknowhowtostartandwheretostartlookingwhenaproblemisdefined.IwouldliketothankeveryoneattheRIVMwhohasworkedwithmeinthepast6months,whereIimmediatelyfeltathome.SpecialthanksgotoLindaVerhoef,KatiHalonen,RudyHertroys,EmmaSmid,PaulBergervoet,SuzannevandeHoefandSabinedeGreefffortheextrahelpandguidestheyhavegivenme.IwouldliketothanktheSNIVteamforpointingouttheimportanceofpracticalworkandlettingmejointhemtoperformtheregistrationforthepointprevalencestudy.Thisshowedmetheimportanceandthelevelofaccuracythatisneededfortheregistrationprocess.Finally,Iwouldliketothankprof.dr.Gert-JanEuverinkandprof.dr.KatjaTaxisfortheireducational/scientificsupportandsupervisionduringmy6monthsinternshipattheRIVM.Ihopethatyouwillfindthisreportbothinformativeasenjoyabletoread.ArsenBarseghianUtrecht,7August2017

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Executivesummary

EveryyeartheNationalInstituteforPublicHealthandtheEnvironment(RIVM)collectsalargeamountofdata regarding the antibiotic use of nursing homes in theNetherlands. This is called the surveillancenetwerkinfectieverpleeghuizen(SNIV).Thisnetworkiscreatedtomonitortheinfectionsthatoccurinnursinghomeseveryyearandtoalarmthenursinghomesforpotentialoutbreaks.TheproblemwiththecurrentsituationisthateveryyearlessnursinghomestendtoparticipatetothevoluntarySNIVprotocol.ThemaingoalofthisstudywastoresearchwhichresultscouldbeobtainedwiththecollecteddataofSNIV2016,whatthecollecteddatameansandhowtheSNIVprotocolcanbeimprovedsoeventuallymorenursinghomeswillparticipate.TheresultsshowedthattheAmoxicillinClavulanicacidwasthemostprescribeddruginthenursinghomesandtheurinarytractinfectionisthemostcommoninfectioninthenursinghomes.AzithromycinhasthehighestprescribeddoseinonenursinghomeandtheaverageusageinnursinghomesinAprilwas5.81%with8nursinghomespassing thisaverageand inNovember6.46%with9nursinghomespassing thisaverage.There were twomain reasons from all the nursing homes to not to participate to the current SNIVprotocol.Thenursinghomedidnothaveenoughtimetocarryouttheregistrationortheydidnothaveenoughpersonneltoparticipate,meaningtheyweretobusy.Analyzingthisproblem,theadvicetoofferhelptothenursinghomeswithlimitedtimewasintroduced,meaningthatRIVMpersonnelcangotothenursinghomeandcarryouttheregistrationforthem.ThissavestimeandresourcesforthenursinghomeandtheRIVMcancollectmoredatathanbefore.ThisadvicewasfoundtobesogoodthattheRIVMdecidedtoimplementitimmediately,causingmorenursinghomestoparticipate.Inthefuture,thesystemcanbeimprovedbydigitalizingthewholeprocess,meaningthatthenursinghomesdonothavetodotheregistrationanymorebuttheRIVMcanlogintotheirelectronicallyclient’sdossier(ECD)andcollecttheneededinformationwithouthavingtogotothenursinghomeorthenursinghomeshavingtomaketime.

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I.Introduction

Worldwide,antibiotics(ABs)areoneofthemostknownanduseddrugs.Alsoinnursinghomes,asubstantialamountofantibioticsisused.Apercentageof47-79%ofalltheresidentsinanursinghomeisatleastonceayeartreatedwithantibiotics1.Themassiveuseofantibioticscontributestotheresistanceofbacteriaagainstantibioticsamongtheelderlyinnursinghomes.Thiscontributestotherisingchanceofinfectionsthataremoreaggressive,deathandsocialcosts(burden).Manydifferentorganizationsareworkingonawarenessandpreventionofresistanceandinfectionsamongpatients.TheWorkgroupInfectionPrevention(WIP)attheNationalInstituteforPublicHealthandEnvironment(RIVM)hasdevelopedguidelinestopreventthespreadofresistantbacteriaamongpeople2.OtherorganizationstrytoincreasetheawarenessofthedangersofincreasingantibioticuseandsoloweringtheamountoftotalABusedamongpatients.ABresistanceduetoexcessiveuseofABhasbecomeasignificantproblemworldwide.ThelowestamountofMultiDrugResistantOrganisms(MDROs)areseenintheNetherlandsandothercountriesinnorthernEurope.ThisisduethefactthatintheNetherlandsthesearchanddestroypolicyisdeveloped3.Thispolicyimpliesundertakingafewstepstocontainthediseaseinsteadofrespondingtoanoutbreak.ThiscomprisesconstantscreeningtodetectthecarriersofaMDROanddestroythebacteria.Possibleoutbreaksarebeingpreventedbyscreeningpeoplewhoarebeingsuspectedforcarryinga3.PeopleatriskareamongstotherpeoplefromforeigncountrieswhovisitedthehospitalorpeoplewhohadcontactwithpeoplecarryingorinfectedwithaMDRO.Thesepersonsaretreatedimmediatelyorputinquarantine.Peoplethatarehospitalizedhavetofillinaformwerethehavetoansweriftheyhavearoommatewhois/wasacarrierofanMDRO,theyworkwithcattleandiftheyhavebeenincontactwitha foreignhospital in the last year.By screeningand treating thesepeople, thehospitalminimizes thechanceofanoutbreakThepeoplewhoaretreated,havetoundergoafewscreeningsandtestnegativefortheMDRObeforetheyareconsideredcured.Thispolicydecreasesthechanceofanoutbreakanddealswiththeproblembeforeitbecomeshazardous.In2060,thepopulationof80yearsandolderwillaccountfor12%4ofthetotalpopulationofEurope.Theseelderlyarethemostvulnerableforinfectionsandareinneedofthemostcare.Mostoftheelderlywillgotoanursinghomeandliveinaclosedenvironmentwithapopulationofelderlylivingneareachother,increasingthechanceoftransmissionofinfections(MDRO)evenmore.Asthetreatmentofbacterialinfectionsaregettingmoredifficultaftereverytreatment,thisdevelopmentisbecomingathreatforthenationalhealthandinmoreparticularthehealthoftheelderly.TheRIVMisalreadymorethana100yearsthededicatedorganisationconcerningthepublicandenvironmentalhealthwithmorethan1,500employees5.TheRIVMhasacentralroleintreatinginfectiondiseasesandnationalpreventionandscreeningsprograms.Itisalsoknownasthetrustedadvisorforthesociety.

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PointsofconcernfortheRIVMareeffectivetreatinginfectiondiseases,keepingthepopulationhealthy,makingsuregoodcareisprovided,thesafetyofthepopulationandimprovingthestatusoftheenvironment.TheRIVMcollectinformationanddataaboutallthesesubjectsandspreadstheknowhowbetweenpolicyworkers,scientists,inspectorsandforthemostofthesesubjectsalsoamongthepopulation.Everyyearnumerousrapportsaremadefilledwithadvicesbouttheenvironment,publichealthetc.TounderstandforwhotheRIVMworksandwhoisinterestedintherapportstheymake,hereisalistofalltheclientsoftheRIVM:

• TheMinistryofHealth,WelfareandSport• TheMinistryofInfrastructureandEnvironment• TheMinistryofEconomicAffairs• theEuropeanUnion• theUnitedNations• TheWorldHealthOrganization

TogetabetterinsightintheABuseandtheinfectiondiseasesinnursinghomes,theDutchgovernmenthasdevelopedanetworkcalledtheSurveillanceNetwerkInfectieziektenVerpleeghuizen(SNIV)6.TheSNIVisanetworkofnursinghomes,whichperformasurveillanceofABuseonnationallevel.Thedataisreceivedfromnursinghomesthattwiceayear(AprilandNovember),voluntarilyparticipatetotheSNIVprotocol.Thecollecteddatafromallthenursinghomesisanalyzed,comparedtothenationalmeanandsentbacktothecorrespondingnursinghomes.Inadditiontothis,thedataisusedforstatisticallyanalysesindifferentstudies.TherearetwokindsofSNIVsurveillanceprotocols.Theoneisapointprevalencesurveyandtheotheroneisanincidencesurvey7,8.Thesetwokindsofsurveillanceprotocolsaremadetomonitortheoccurrenceofhealthcareassociatedinfections(HCAIs)onacontinuebasisandoneonapointprevalencebasis.TheIncidencemeasurementsstartedin2009wheretheparticipatingnursinghomessendeveryweektheincidenceofthecurrentinfectionsintheirnursinghomes.Thisisdonetomonitorthedeterminantsoftransmissioninordertoimprovetheinfectionpreventionandtherapyinnursinghomesandeveninthehospitals.Thesurveillanceisperformedelectronically,whichmeansthatallthecollecteddataistransferredtothedatasetofRIVM.Andfinallythenursinghomesareaskedtosendtwomonstersofpatientswithinfluenza-likesymptomstotheRIVMforsurveillancediagnostics.Theprevalence(incontrarytotheincidencesurveillance)isperformedtwiceayear(AprilandNovember)wherethepresenceoftools(urinecatheterforexample)isregisteredbutantibioticuseinthatdayaswell.DuringthismeasurementthefollowingHCAIsarebeingmonitored:

• Sepsis/bacteraemia• Lowertractrespiratoryinfections• Urinetractinfections• Gastro-intestinalinfections• Bacterialconjunctivitis

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Thisprotocolisdevelopedbytheteamworkofexpertslikegeriatricians,adviser’sinfectionprevention,physicianmicrobiologistsandwiththeRegionaalZorghygiëneNetwerkNijmegenenOmstreken(REZON).WiththeprevalencemeasurementstheoccurrenceofHCAIscouldbeevaluatedonanationallevel.ThedatacollectedcouldbeareasontostartaninterventionofevensupplementaryresearchinaspecificnursinghomeanditcouldalsomapthehighriskpopulationsfortheRIVM.Duringthissurveillancenodataiscollectedabouttheskinandwoundinfections.ThisisdonebytheChronischewondvandeLandelijkePrevalentiemetingZorgproblemen(LPZ)8whichisdoneinAprilandNovemberaswell.InthisstudywewillfocusontheprevalencepartoftheSNIVandnotontheincidence.Whenthenursinghomesregisternewclientstheyhavetocheckforinfectionsandiftheclientcomesfromahospitalorothernursinghometheycheckifthereisatreatmentonthatmoment.Ifthisisthecasethanitischeckiftheinfectionwaspresentonthedayofadmission.Infectionsoccurredbefore48hoursafterregistrationareconsideredinfectionsduringregistration,meaningitisnotahealthcareassociatedinfection.ThisisdonetopreventunknownHCAIandinfectionswiththeotherresidents.Thereisacertainprotocolwhichthenursinghomeshavetofollowinordertoidentifytheinfectionintherightwaymeaningonthedayofregistration9.AsseeninFigure1,thereisaprotocolwhichthenursinghomeshavetofollow.ThefigureillustratesdifferentsituationsinwhichthenursinghomeshavetoregistertheinfectionasaHCAI,asaninfectionfromahospital,ainfectionfromanothernursinghomeorainfectionfromaunknownsource.Afewexamplesofhowtheidentificationworkswillbegivenbelow:ExampleB1.Theclientisregisteredinanursinghomefromahospitalandbefore48hoursaninfectionisfound.ThismeansthattheinfectionisnotaHCAIbutaninfectionduringregistrationmeaningithappenedinthehospitalExampleB7.Onthedayofregistration,theclientistreatedforaninfection.Betweenthefirstnursinghomeandtheregistrationtothenewnursinghometheclienthasbeeninahospital.ThismeansthattheinfectionisnotaHCAIfromthecurrenthospitalbutisoriginatedfromthelastnursinghome.ExampleBD.Onthedayofregistrationaninfectionispresentanditoccurredbefore48hoursofregistration.ItisunknownwheretheclientcomesfrommeaningitisnotaHCAIbutaninfectioninanunknownsource.

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Figure1.Registrationofinfectionduringadmission

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EveryyeartheRIVMcollectsasmuchaspossibleparticipantsforthisSNIVprotocolsothedatasetwillbeasbigaspossiblefortheresultstobeasreliableaspossible.TheparticipationrateofthenursinghomestotheSNIVprotocolaredecliningeveryyearandcomparedtoforeigncountries,therearelessnursinghomesparticipatingtothesurveillancesysteminTheNetherlands.Thiswillbethecentralsubjectofthisadvisoryreport:

InwhatwayhasthecurrentSNIVprotocolbeimprovedsomorenursinghomesandnursinghomeclusterwillbemotivatedtoparticipate?

Toanswerthisquestion,themainquestionhastobedividedintotwosub-question:

• ForwhatreasondonursinghomesnotparticipatetotheSNIV?• HowistheSNIVregistrationperformedandhowmanynursinghomesdidparticipatein2016?

ThesecondgoalofthisstudyismappingtheABuseoftheparticipatingnursinghomesandfindoutwhatthereasonisforthedifferenceinABusebetweenthenursinghomes.AcorrelationbetweenABuseandtheoccurrenceofinfectiondiseasesorevenABresistancewillbesoughtindifferentnursinghomes.ThisreportpresentstheresultsoftheSNIVdatasetof2016Toanswerthesequestionsaliteratureresearchhastobeperformed.ThiswillincreasetheknowledgeabouttheSNIVprotocolandgivemoreinsightinwhataretheweakpointsofthemethodinwhichtheSNIVregistrationisperformed.TogainmoreknowledgeaboutthereasonwhythenursinghomesdonotwanttoparticipatenursinghomeswillbeaskedforthereasonwhentheydeclinetheofferofparticipationtotheSNIVregistrationtroughwhichthelargestreasonfornotparticipationwillbeidentified.Byknowingthereason,itwillmakeitmucheasiertosolvetheproblem.Thesecond(science)questionofthereportwillbeansweredbycalculusandstatisticalanalysisthroughwhichmoreinsightwillbeobtainedintheusedantibioticsinallthedifferentparticipatingnursinghomes.ThiswillhelptounderstandwhichantibioticsareusedthemostandwhatarethemostcommonHCAIsintheNetherlands.Theadvicereportisconstructedinthefollowingway:Inchapter2,amoredetailedviewwillbecreatedinthewaytheSNIVregistrationisperformed.AresearchwillbeperformedinhowtheSNIVregistrationprocessworks,whattheconditionsarefortheparticipantsbutalsowhattheworkingconditionsarefortheRIVMitself.Whattheinandexclusioncriteriaareforthenursinghomesandtheirresidentsandfinallywhoactuallydidparticipate.ThiswillbecomparedtothegeneralamountofnursinghomesintheNetherlandsin2016.Bydoingthisaparticipationratecanbecreatedsothiscanbecomparedtodifferentcountries.ThiswillgiveamoredetailedviewofalltheparticipatingnursinghomesinthetwodifferentperiodsoftheSNIVregistrationandofthenursinghomeswhichparticipatedinbothperiods(overlap).Furtherinchapter2thereasonfornoparticipationwillberesearchedanddiscussed.Agraphwillbecreatedfromalltheanswersofalltheapproachednursinghomesandbydoingthisthemostgivenreasoncanbeseen.

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Thenursinghomeswillbeaskedaswellwhentheywillparticipateiftheywontsothereasonofthenursinghomesthatwillneverparticipatecanbeknown.Byknowingwhythesenursinghomesdonotparticipatethisreasoncanbesolved.Inchapter3aresearchwiththecollectedSNIVdatasetof2016willbeperformed.Aglobalviewoftheantibioticuseindifferentnursinghomesandthedifferentkindofantibioticsusedinthesenursinghomeswillbecreated.BeforetheresultscanbeusedthevalueshavetobecalculatedintoDefinedDailyDoses(DDDs).Thisisaninternationalvaluethatisusedtocalculatethedosageofmedicine.ByconvertingthedosageusedintoDDDstheresultscanbecomparedwithinternationalvaluesandresultsofforeignnursinghomes.Withthisinformationgraphsandtablescanbecreatedshowingwhichnursinghomehadthemostantibioticsusedinwhichperiodenwhichantibioticwasthemostused.ThiswillgiveamoredetailedviewoftheHCAIsthatoccurinthenursinghomesintheseperiodsandhowtheyaretreated.Moreinformationabouttheantibioticuserswillbecollectedandfinallythenursinghomeswhichdifferthemostfromtheirnursinghomesclustersconcerningantibioticuse.Andhowtheydifferfromthenationalaverageantibioticuse.Alltheinformationcollectedwillbeusedtoseeifthenursinghomesdiffersignificantlyinthedifferentsituationsfromeachotherandwhatthismeans.Chapter4andchapter5areusedtoevaluatetheresultsfromchapter2.ThisisdoneinordertogiveanadviceinhowtoimprovetheSNIVpointprevalenceregistrationprocesssomorenursinghomeswillbemotivatedtoparticipated.InthesechaptersmultipleadviceswillbegivenbutaSWOTanalysisforeachadvicewillbeperformed.Thestrengths,weaknesses,opportunitiesandthethreatsofeachadvicewillbeevaluatedinordertoseeifitisfeasible.Inthesechapterstheimplementationoftheadviceswillbecoveredandwillbeexplainedhoweveryadvicewillhavetobeexecutedforittobeimplementedinthecorrectway.Theinternshipandadvicereportiswritteninthetimeperiodof9February2017until11August2017inordertointegratethescienceandpolicypartintothisreport.Inthisreportthescienceisusedasabackgroundinformationsothepolicypartcanbecorrected/improvedintherightway.Thesciencepartisneededforthereadertoknowwhatwillimproveandwhatkindofimpacttheimprovementofthepolicypartwillhavewhentheadvicesareimplemented.ThebackgroundoftheinternisMedicalPharmaceuticalSciencesandtheinternhasabachelordegreeinPharmacywhichdidcomeinhandybecausethereportismainlyaboutantibioticuseandtheeffectsofit.Duringthisreporttheinternissupervisedbyprof.dr.LindaVerhoef(RIVMsupervisor),prof.dr.Gert-JanEuverink(ScienceBusinessPolicysupervisor)andKatja

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IIa.SelectionofnursinghomesandresidentsEachyear,theRIVMapproachesallnursinghomesintheNetherlandsbymailortelephonetoinvitethemtoparticipateintheSNIVprevalencestudy.ParticipationinSNIVisfreeofchargeforallnursinghomesandnursinghomescanparticipatevoluntarily.Thenursinghomescanchoosetoparticipateonceortwiceayear,i.e.inAprilorinNovember.Tobeincludedintheprevalencestudy,thenursinghomeshadtohave50ormorebedstoensurereliableprevalence.Inordertokeepthedatacollectionandinformationreleaseconsistenttowardsthenursinghomes,conditionsweremade.Theseconditions,whichRIVMhastofollowinordertobeabletoperformtheSNIVprevalencestudyarelistedinTable1.Table1.ConditionfortheSNIVprotocol Conditions1.

TheSNIV-teammustorganizeandprovidetheyearlyscheduleoftheprevalenceresearchinthemonthsofAprilandNovember.Nopatientsareallowedtobeincludedtothestudyexceptinthesetwomonths.

2. EveryyeartheSNIV-teamorganizesaninformationalmeetingfortheparticipatingnursinghomes

3. ThenursinghomesarefreetodecideifitparticipatesinAprilorNovemberorboth4. Participationisfreeofchargeforthenursinghomes5. Alltheparticipatingspecialistgeriatriciansneedtobeinformedabouttheconditions6. Aplanofactionshouldbepresentedstatingthewaythesurveillancewillbeperformed7. Thedefinitionsoftheinfectiondiseasesscreenedduringthesurveillancemustbeacceptedby

theparticipatingnursinghomes.8. Foreachdepartmenttheclientsmustberegisteredonthesameday9. Onlyoneregistrationformperclientmustbecompleted.Ifaclientistransferredtoanother

departmentandisregisteredagain,onlythefirstregistrationdatewillbeused.10. Toreceivereliabledatathespecialistgeriatricians(intraining),basisdoctor,nurse-practitioner

orexpert-infectionpreventionhavesufficientexperienceandtrainingtoperformthesurveillance.Doubtfulcausesareinternallyinvestigated.

11. ThedataiselectronicallydeliveredtoSNIV(throughOSIRIS,awebapplicationoradatafileaccordingtothedataspecificationsofSNIV)withinfourweeksafterthelastregistrationday.(ScreeningsinAprilbefore1stofJuneandscreeningsinNovemberbefore1stofJanuary)

12. AftertheexhibitofdatatotheSNIV,alltheparticipatingnursinghomesreceiveanautomatizedrapportwiththeirprevalencenumbersofeveryinfectiondiseaseincomparisonwiththenationalgeneral.Ifthenursinghomehasmorethanonelocationandwantsarapportperlocationtheneverylocationhastosendhisapplyingform.Thisrapportwillbesentonlyifthelocationhasmorethan50beds.

13. ExternalvalidationbytheSNIV-teamwillbeperformedatrandomAllresidentsinanursinghomeareincludedduringtheSNIVprevalencestudyexcepttheoneswhodonotpassthecriteria.Asseenin

Table2,toparticipatetotheSNIVprevalencestudyalltheparticipatingresidentshavetofollowtheseconditions.Bysettingtheseconditions,theRIVMmakessurethatthedataisnotbiased.

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Advicereport|SNIVprotocolanddata2016|ArsenBarseghian15

Table2.In-andexclusioncriteriaforclients Clientsconditions1. Thissurveillanceisonlyforclientswithspecialistgeriatricians2. Clientswhoareincludedlessthan48hoursafterregistrationarenotincludedinthe

surveillance3. Residentswhoareinfectedandareregisteredinthenursinghomelessthantwoweeksawill

notbeincluded4. Clientswhodiedoraredischargedonthedayofregistrationareincludedinthesurveillance5. Ifduringthesurveillanceanoutbreakoccurs(forexampletheNorovirus)thehospitalcanstill

participateintheprevalencestudy.ParticipatingnursinghomesandresidentsSeventhousandninehundredtwenty-threeresidentsfrom75differentnursinghomesand23differentnursinghomeclustersparticipatedinthepointprevalencestudyoftheRIVMin2016.The75nursinghomesbelongtodifferentgroups(nursinghomeclusters),thesenursinghomeclustersconsistofdifferentnursinghomelocationsownedrunbyoneorganization.Fifty-twoofthetotalamountofnursinghomesparticipatedinApriland36participatedinNovember.Therewasanoverlapof13nursinghomes,whichparticipatedinbothAprilandNovemberasseeninTable3.ThisisalsodepictedinFigure2,showingtheparticipationandoverlapofthenursinghomeclustersandnursinghomeswhoparticipatedbothinAprilandinNovember.

April14Nursinghomeclusters52Nursinghomes4025residents

November9Nursinghomeclusters23Nursinghomes3898residents

Overlap6NHclusters13NHs

Figure2.ParticipantsinAprilandNovember2016

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Advicereport|SNIVprotocolanddata2016|ArsenBarseghian16

IIb.DatacollectionThenursinghomesdeliverthedatabycompletingaregistrationformforeachinhabitantofthenursinghome(resident),statingwhethertheyareusingaspecificmedicineandiftheyhaveaninfectionaccordingtofivedefinitionsbasedonclinicalcriteria(Table1):sepsis/bacteremia,lowerrespiratoryinfection,urinarytractinfection,gastrointestinalinfectionandbacterialconjunctivitis.Duringthisstudyonlyquestionsabouttheantibioticsprescribed,infectioncasesandtheresistancecarriersamongthesubjectswillbeused.Theformisreadandcompletedbythespecialistgeriatricians10.Preferably,theformsforallthesubjectshavetobecompletedinonedaybutthisisnotpossible.Theformsarecompletedperspecialisminoneday,howevertheregistrationforonenursinghomecanbedoneinonemonth.Asthegeriatricianshavelimitedrecoursesandtime,theyspreadtheregistrationoveramonthandfillintheformsasifitwasdayoneofregistration.AllthedataisthensenttotheRIVMwheredataarechecked,cleanedandanalyzed.Inonemonth,eachparticipatingnursinghomereceivesinformationabouttheirprevalenceofinfectionsandantibioticusagecomparedtotheotherparticipatingnursinghomesintheNetherlands.ReasonsfornoparticipationWhenthenursinghomeswereapproachedforparticipationtotheSNIVprotocolin2016,thecalleralsoaskedwhytheydidordidnotwanttoparticipate(Figure3).Thisisdonetofindthesourceofthedecliningtrendintheparticipationrateandtoknowhowtomotivatemorenursinghomestoparticipateinthefuture.In2016,75nursinghomesparticipatedtotheSNIVprotocol.Knowingthattherewere2377nursinghomesintotalintheNetherlands11thismeansthatonly3.2%ofallthenursinghomesintheNetherlandsparticipatedtotheSNIVprotocol.In2015,theamountofnursinghomesparticipatedtotheSNIVprotocolwhere75meaningadeclineof3nursinghomes.OthercountrieslikeGermanyandAmericahavethesamesurveillancesystemwheretheamountofABuseisbeingmonitored(eithercontinuouslyorincidentally).IncontrarytotheNetherlands,theparticipationrateinthosecountriesismuchhigher.InMinnesotaforexample,anABusesurveillancewasperformedand393nursinghomesdidparticipatewithaparticipationrateof96%12,whichis30timeshigherthanintheNetherlands.AsseeninFigure3therearemanyreasonsgiventonotparticipate,whichvariesfromnointeresttonotimeorrecourses.Thedifferentcolouredcirclescorrespondtotheanswersfor(no)participation.Thenursinghomeswhichdidnotparticipateandsaidthatwillnotparticipateinthefuturearethemostinterestingnursinghomes,sincetheyhaveonemainissueandbelievethatthiswillneverbesolvedsotheycannotparticipate.Theforemostreasongivenbythesenursinghomeswasalackoftimeandresources.ThismeansthattheadvicegiventotheRIVMmusttaketheproblemofthesenursinghomesintoconsideration.Theadvicesmustsolvethelackofresourcesoreventime.

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Advicereport|SNIVprotocolanddata2016|ArsenBarseghian17

Figure3.Reasonsgivenbynursinghomeclusterswhenaskedwhythedoordon’tparticipatetotheSNIVprotocolin2016.Thesizeofthecirclescorrespondentstotimesthereasonisgiven(1-5).Theoverlapbetweenthecirclesmeansthatanursinghomeclustershavemorethanonereason.ThecolormeansthatthereasongivenbyanursinghomeclusterdidparticipatetotheSNIV(green),didnotparticipate(red),didnotparticipatethisyearbutwillparticipatethenext(orange)anddidnotparticipatethisyearanditisnotknownwhentheywill(blue)

IIIa.ResidentcharacteristicsTable3showsalltheinformationcollectedfromtheSNIVdataset.DatawascollectedinAprilandNovember.ThesedataarechosenbecausetheyaresimilarinweatherconditionsandamountofABused.TheresultsshowthatthiscorrespondstotheamountofDDDsusedbythenursinghomes.InApril45.25DDDs/1000residents/daywasusedandinNovember51.37DDDs/1000residents/day.Thisonlydiffers6.12DDDs,whichisnotsignificant.AsstatedinTable3,inApril,68.7%ofthetotalpopulationwasfemaleandinNovember65.9%.OfthepopulationofApril,thelargestgroupofpeople(47.5%)isbetweentheageof80and89,whichisalsothecaseinNovember(44.4%).ThebiggestpartofthetotalpopulationisinthePGdepartment(56.0%),followedbythesomaticdepartmentwith34.5%andthesmallestpopulationisintherehabilitationdepartmentwith9.5%ofthetotalpopulationinNovember.Aprilhasthesamedistributionwith58.4%atthePGdepartment,33.4%inthesomaticdepartmentand8.2%comesfromtherehabilitationdepartment.

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Table3.Usabledataofthedatabaseusedforthestudy 2016April

Total(%)

2016AprilZI(%)

2016NovTotal(%)

2016NovZI(%)

Nursinghomeclusters 14(Total23) 15(Total23)NursinghomeLocations 52(Total75) 36(Total75)Inhabitants 4025(Total

7923)83(2.1) 3898(Total7923) 119(3.1)

Man/woman 1259/2766 25/58 1330/2568 42/77Age:

- <60- 60-69- 70-79- 80-89- >90

121(3.0)250(6.2)696(17.3)1910(47.5)1048(26.0)

3(2.4)4(1.6)11(1.6)45(2.4)20(1.9)

132(3.4)316(8.1)849(21.8)1730(44.4)871(22.3)

3(2.3)7(2.2)23(2.7)65(3.8)21(2.4)

Specialism:- Somatic- Revalidation- Psychogeriatric

13463312348

30(2.3)10(3.0)43(1.8)

13433712184

60(4.5)24(6.5)35(1.6)

Livingconditions:- Privatebathroom- Privatetoilet- Multi-personroom- Singleroom

140814225223503

21(1.5)21(1.5)78(14.9)5(0.01)

118412277823116

33(2.8)37(3.0)95(12.1)24(0.8)

HealthCareassociatedInfections:- Sepsis/bacteraemia- LRTI- Urinarytractinfection- Gastro-intestinalinfection- Bacterialconjunctivitis

2166312

03967133

Antibioticsuse 234 68(29.1) 252 101(40.1)TwotypesofAntibioticsuse 11 4(36.4) 17 5(29.4)DDDsper1000residents/day 45.25 51.37Aidingtools

- urethracatheter- suprapubiccatheter- peripheralcatheter- tracheostomy- PEG-catheter

(n=353)244671338

(n=12)9(3.7)1(1.5)0(0)0(0)2(5.3)

(n=498)3218431049

(n=28)14(4.4)9(10.7)1(33.3)4(40)0(0)

CarriersBRMO- MRSA- ESBL- VRE- Clostridiumdifficile- Norovirus

(n=72)1947411

(n=3)1(5.3)2(4.3)0(0)0(0)0(0)

(n=68)356136

(n=6)0(0)3(5.4)0(0)0(0)3(50)

Monsterstaken 338 2(0.6) 0 0(0)

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Advicereport|SNIVprotocolanddata2016|ArsenBarseghian19

Furthermore,therewerefivetypesofinfections:Sepsis/bacteraemia,infectionsofthelowerrespiratorytract,urinarytractinfection,gastrointestinalinfectionandbacterialconjunctivitis,ofwhichtheprevalenceinAprilwererespectively:2,16,63,1and2andinNovember:0,39,67,13and3.ThemostcommoninfectionisUrinarytractinfection(UTI).Seventy-fivepercentoftheparticipantswhohaveaHealthCareAssociatedInfection(HCAI)haveUTIinApril.InNovember,themostcommoninfectionisagaintheUTIwith56.3%ofthetotalpopulationofparticipantswithaHCAI.AsseeninTable3,thegroupwiththemostcathetersisparticipantswithaurethralcatheter.ThisappliesforAprilaswellasforNovember.Fromalltheparticipantswithacatheter,thegroupwiththepercutaneousendoscopicgastrostomy(PEG)-catheterhadthehighestamountofHCAIsApril(5.3%).InNovember,thegroupwithtracheostomy(40%)hadthehighestamountofHCAIs.InhabitantswhohaveasingleroomhavetheleastHCAIsandthepeoplewithamulti-personroomhavethemost.ThisdistributionisthesameforAprilandforNovember.AsseeninTable3therewasaparticipationof75nursinghomesin2016.IntheNetherlands,2372nursinghomesprovidetheelderlyhomeandcare12Meaning3.2%ofallthenursinghomesparticipatedin2016totheSNIVprotocol.Thenursinghomesdidnothavetherequiredtimeorpersonneltocollectalltheinformation,neededtoparticipate.ThedifferenceofHCAIprevalencewasthehighestfortheresidentsof80-89yearsofage.ThiswasthecaseforAprilandNovemberbutalthoughtheamountofresidentsofthatagewerelessinNovember,theamountofresidentswithaHCAIwerehigherinNovember.Thereasonforthiscouldbetheperiodofmeasurement.AlthoughthefluisnottreatedwithABandisnotconsideredanHCAI,theeffectofaflucouldbeanLRTIresultinginatreatmentwithanAB.Alltheparticipatingnursinghomesconsistedofthreespecialisms:somaticcare,revalidationandthepsychogeriatriccare.TheamountofincludedresidentsperspecialismdidnotdifferbetweenthetwoperiodsbuttheamountofHCAIsdid.Thedifferencesarenotsignificant,buttherevalidationdepartmenthasinbothperiodsahigherpercentageofHCAIthantheothertwodepartments.Theexpectationwasthatthepsychogeriatricwouldhaveahigherpercentagebecauseoftheconditionoftheresidentslivingthere13.ThereasonthattherevalidationdepartmenthasahigherHCAIpercentagecouldbeassociatedwiththatthoseresidentscomefromthehospitaloranoperationandhavebeenmoreincontactwithsuchinfections.ThisisalsoseenintheamountofABusedinthisdepartment.AsseeninFigure7andFigure8,thehighestamountofABusedinAprilandinNovemberwasintherevalidationdepartment.MeaningthattherecouldbeacorrelationbetweenABuseandHCAIs.Everynursinghomehasdifferentconditionswheretheresidentslivein.AsseeninTable3,residentslivinginasingleroomhavealowerchanceofobtainingaHCAIcomparedtothosesharingaroom,despitetheeffectbeingnotstatisticallysignificant.MostcommonHCAIinbothperiodswastheUrinarytractinfection.Also,theurinarycatheterswerethecathetersmostusedbytheresidents.Asstatedbefore,thereisacorrelationbetweencatheteruseandUTI14.ThiscouldbethereasonforthehigherprevalenceofUTIs.Tobesurethisisthecase,moreresearchhastobedoneconcerningthedifferentfactorsandconditionswheretheresidentslivein.

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IIIb.DataanalysisAsseeninTable4,thefollowingfactorsareinvestigatedfortheirpossiblecorrelationwithantibioticusage.DuringtheSNIVregistration,thegeriatriciansalsofillalistofpossiblefactorsthatcouldinfluencetheuseorresistancetoantibiotics.

Thislistconsistsofdifferentfactorsthatarenotallproventoinfluencetheantibioticuse.SpecialistsaddorremoveeveryyearfactorsthatcouldinfluencethisandthefactorsarechosenfromownexperienceorwhatatthattimewasproventoplayaroleinABresistance.ThismeansthatthelistchangeseveryyearandstaysuptodateconcerningfactorsthatmayinfluenceABuseorresistance.

Table4.FactorsusedinthisstudytocorrelatetoABuse Factors1. Age2. Gender3. Livingconditions4. HCAI5. Specialism6. HavingacatheterIIIc.StatisticalanalysisUsingSPSS,informationaboutthetotalamountofantibioticsusednationwide,totalamountofantibioticsusedinnursinghomesandindifferentdepartmentsofthenursinghomeswillbeanalyzedandevaluated.SignificancebetweenvariablesofinterestwillbecalculatedthroughanindependentTtestinSPSSversion24.0.0.1.Thetotaldoseofantibioticusewillbecalculatedindefineddailydoses,makingitpossibletocomparedrugconsumptionbetweennursinghomes.Thedefineddailydose(DDD)wascreatedinconjunctionwiththeAnatomicalTherapeuticChemical(ATC)classification.Thistechnicalunitisassignedtoeachdrugattheirfifthlevelofclassification.TheDDDrepresentstheaveragemaintenancedoseperdayinadultsfortheirindication15.TheATCcodesandtheDDDsarealldescribedintheWorldHealthOrganizationCollaboratingCentre16withaDDDandanATCcodeforeverydrug.Normally,antibioticconsumptionisexpressedinDDDper1000inhabitants/dayforpatientsoutsideofahospitalandDDDper100beddaysforpatientsinhospitals.Becausethisresearchconcernsnursinghomesinsteadofhospitals,theDDDswillbeexpressedinDDDper1000residents/dayifthecollecteddataissufficient.(asseeninRoukensetal.17astudyaboutSurveillanceofantimicrobialsuseinDutchlong-termcarefacilities).ToconvertthedataintoanumberofDDDs,theATCclassificationsandthequantityofdrugsusedisneeded.Toexplainthisinmoredetail,belowanexampleisgiven.

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Advicereport|SNIVprotocolanddata2016|ArsenBarseghian21

Example1A47-year-oldmanreceivesaprescriptionforatotalof24ciprofloxacin500mgtablets.TheamountofDDDsinthisprescriptioncanbecalculatedbymultiplyingthetotalreceiveddrugsbytheDDDconversionfactoroftheappropriatedrugs(ThiscanbefoundintheWHOCC16.Meaningifthedoseoftheprescribedtabletis500mgandtheATC/DDDforthatspecificdrugis1gramthenonetabletcorrespondsto0.5DDD.0.5multipliedbythetotalamountofciprofloxacinprescribedequals12DDD.Therefore,aprescriptionof24times500mgciprofloxacintabletsequalstoatotalof12DDD.Thisdatacannowbecomparedorstoredforevaluation.ForthecalculationoftheDDDs,thefollowingformulaisused:

𝐷𝐷𝐷 =𝑁𝑖%

&'(𝑋

𝑁𝑖%

&'( =𝑁1+𝑁2+𝑁𝐾𝑁 =𝐷 ∙ 𝐴(Totalmgofprescribedmedicine)𝐷 =Dose𝐴 =Timesaday𝑋 =mg/DDDAmoxicillinClavulanicacidwasprescribedthreetimes625mg.625mgAmoxicillinClavulanicacidconsistof125mgClavulanicacidand500mgoftheworkingcomponentAmoxicillin.TheATCcodeisJ01CR02(www.whocc.no)withaDDDof1000mg.𝑁=500∙3D:500mgA:3X:1000mg𝐷𝐷𝐷= .//∙0

(///

𝐷𝐷𝐷=1.5Meaningthatatotalof1.5DDDAmoxicillinClavulanicacidwasprescribedExample2Apointprevalencestudywasperformedinanursinghomewith50inhabitants.Twoofthe50peopleusedantibiotics.Atotalof400mgNitrofurantoinand1000mgCiprofloxacinwasprescribed.ATCcodesoftheNitrofurantoinandCiprofloxacinareJ01XE01andJ01MA02withaDDDof200mgand1000mg,meaning2DDDofNitrofurantoinand1DDDofCiprofloxacinwasprescribedthatday.Thisamountmustbedividedby50andmultipliedby1000tocalculatetheDDDper1000inhabitantsperday.Meaning40DDDofNitrofurantoinand20DDDofCiprofloxacinwasprescribedper1000inhabitantsperdayinthisnursinghome.

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Advicereport|SNIVprotocolanddata2016|ArsenBarseghian22

ABuseindifferentperiodsTheresultsshowthatantimicrobialsforsystemicuse(J01)accountfor99.43%inApriland99.77%inNovemberofalltheantibioticsregisteredfortheinhabitantsofthe75participatingnursinghomes.Theremaining0.57%inApriland0.23%inNovembercorrespondstoantimycoticsforsystemicuse(J02).AsseeninTable5,inAprilthetopfivemedicineclassesusedareJ01C,J01F,J01X,J01MandJ01AwithJ01Casthemostfrequentusedclass(36.71%).AmoxicillinClavulanicacid(27.14%),Amoxicillin(7.47%),Flucloxacillin(2.08%)andDicloxacillin(0.02%)belongtothisclassandarethemostusedbeta-lactamantibacterialsinAprilbythenursinghomes.InNovember,thetopfivemedicineclassesusedareJ01C,J01X,J01F,J01MandJ01AwithJ01Casthemostfrequentusedclass(39.28%).AmoxicillinClavulanicacid(27.08%),Amoxicillin(8.21%),Flucloxacillin(2.78%)andFenticillin(1.21%)belongtothisclassandarethemostusedbeta-lactamantibacterialsinAprilbythenursinghomes.Table5.Medicineclassesusedinnursinghomesin2016

AsseeninFigure4(Appendix2),duringtheperiodsofAprilandNovemberthemostfrequentusedclassofantimicrobialistheAmoxicillinClavulanicacidwith12.28DDDinApriland13.91DDDinNovember(DDDsper1000residents/day).ThesecondmostfrequentprescribedantimicrobialistheNitrofurantoinwith6.96DDDinApriland8.76DDDinNovember.UnlikeAmoxicillinClavulanicacid,Nitrofurantoinbelongstotheclassofotherantimicrobials(J01X).

ATC %DDDApril ATC %DDDNovJ01 99.43 J01 99.77J01C 36.71 J01C 39.28J01F 18.03 J01X 21.45J01X 17.33 J01F 19.14J01M 13.21 J01M 11.62J01A 5.55 J01A 4.36

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Advicereport|SNIVprotocolanddata2016|ArsenBarseghian23

Figure4.AmountofDDDsper1000residents/dayinnursinghomesin2016

AprilandNovemberdonotdifferforantimicrobialsusedbythenursinghomes.InAprilandinNovember,17typesofantimicrobialswereusedtotreattheresidentsandtheyonlydifferintheprescribedDDDs(asseeninFigure4),whichisinAprilatotalof45.25DDDper1000residents/dayandinNovember51.37DDDper1000residents/day.Thisdifferenceisnotsignificant.ThecategoriesofantibioticsintheperiodsAprilandNovemberarethesameandtheyonlydifferintheamountused.Thismeansthattheseantibioticsarethemostcommonusedantibiotics.Almostalloftheprescribedantibioticsarebroad-spectrum,meaningthattheyareusedtotreatavarietyofbacterialinfectionsandsoincreasingthechanceofashortandsuccessfultherapy18.Becauseoftheempiricalknowledgeofthegeriatriciansabouttheantibioticsusedforthesetypeofinfections,abroadspectrumprescriptionisfavorable.Byprescribingthis,nocultureneedstobegrown,whichmakespatientscanbetreateditfasterandeasier.

NovembershowedhigherABusethanApril,differingby6.12DDD/1000residents/day.ThereasonfortheextrausersinNovembercouldbethatthemedicineareusedmoreprophylacticinNovemberthaninApril.NovemberistheperiodthatpossiblymoreLowerrespiratorytractinfections(LRTI)occurifthefluseasonhasanearlystart,sotopreventcomplicationsgeriatriciansmightusemoreantibiotics.Itisnotonemedicinethatisusedmore,asseeninFigure4alltheantibioticsareusedabout1DDDmore,showingamoregeneralpictureforthisdifference.ThemostcommonusedantibacterialsaretheJ01C(Beta-lactamantibiotics,penicillin’s),whichwasmentionedinthestudyofMcCleanetal19astudyaboutEuropeansurveillanceofantimicrobialconsumption.InthisclasstheAmoxicillinClavulanicacidfollowedbyAmoxicillinandFlucloxacillinwherethemostuseddrugsinApril.

0

10

20

30

40

50

60

April Nov

DDDs/1000re

siden

ts/day

DDDuseperperiod J02AAntimycoticsforsystemicuse

J01XOtherantibacterials

J01MQuinoloneantibacterials

J01GAminoglycosideantibacterials

J01FMacrolides,LincosamideandStreotogramins

J01Esulfonamidesandtrimethoprim

J01DOtherbeta-lactamantibacterials

J01CBeta-lactamantibacterials,penicillines

J01ATetracyclines

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Advicereport|SNIVprotocolanddata2016|ArsenBarseghian24

ThesameappliedforNovemberandJ01Cwasagainthemostusedantibioticclass.ThismeansthattheBetalactamantibiotics,penicillinsarethemostcommonusedABsintheparticipatingnursinghomes.ThisdoeshowevernotmeanthatthisisthemostusedantibioticintheNetherlands,sinceonly3.2%ofallthenursinghomesintheNetherlandsparticipatedtotheSNIVprotocol.TobeabletomakeastatementaboutthemostusedantibioticintheNetherlands,alargerstudyhastobeperformedwithmoreparticipants.

Inthisstudy,AmoxicillinClavulanicacidwasthemostuseddruganditisadrugthatismainlyusedtotreatRespiratoryinfections,Urinarytractinfections,skinandsoftpartinfectionsandinfectionofthebonesandjoints20.AsseeninTable1,themostcommoninfectionsinanursinghomeareUTI,lowerrespiratorytractinfectionsandBacterialconjunctivitis.Asmentionedbefore,AmoxicillinClavulanicacidisabroadspectrumantibiotic.Therefore,beforementionedconditions/infectionscanbetreatedwithAmoxicillinClavulanicacid.ThiscouldbeoneofthereasonswhythisantibioticisthemostuseddrugofallthenursinghomesinAprilandNovember20.

ABuseindifferentnursinghomesThemostfrequentprescribedantimicrobialclassinAprilandNovemberistheantibacterialforsystemicuse(J01)whichaccountsfor99.01%inApriland99.75%inNovember(Table6).Remaining0.99%inApriland0.25%inNovembercorrespondentstotheclassofantimycoticsforsystemicuse(J02).AsseeninTable6,inAprilthetopfivemedicineclassesusedareJ01C,J01F,J01X,J01MandJ01AwithJ01Casthemostfrequentusedclass(36.48%).AmoxicillinClavulanicacid(29.76%),Amoxicillin(5.22%)andFlucloxacillin(1.49%)belongtothisclassandarethemostusedbeta-lactamantibacterialsinAprilbythenursinghomes.InNovember,thetopfivemedicineclassesusedareJ01C,J01X,J01F,J01MandJ01AwithJ01Casthemostfrequentusedclass(38.45%).AmoxicillinClavulanicacid(24.88%),Amoxicillin(7.16%),Flucloxacillin(6.13%)andFenticillin(0.26%)belongtothisclassandarethemostusedbeta-lactamantibacterialinAprilbythenursinghomes.Table6.Medicineclassesusedindifferentnursinghomesin2016ATC %DDDApril ATC %DDDNovJ01 99.01 J01 99.75J01C 36.48 J01C 38.45J01F 25.84 J01X 23.43J01X 16.24 J01F 22.08J01M 8.84 J01M 8.20J01A 6.98 J01A 4.42

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Advicereport|SNIVprotocolanddata2016|ArsenBarseghian25

AsseeninFigure5,inApril,thenursinghomewiththemostfrequentDDDprescriptionwasnursinghome1withatotalof590.42DDD/1000residents/day.Thisis431DDDhigherthanthesecondhighestnursinghome(Nursinghome2with159DDD).ThemeanDDDsprescribedinApril2016was64.16.Azithromycinwasprescribedfor486.25DDDsinnursinghome1inApril2016bringingit526.26DDDs/1000residents/dayaboveaverage.Azithromycinisthesecondmostfrequentusedmedicine,asAmoxicillinClavulanicacidhasthehighestDDDsprescriptions.ThetotalamountofprescribedAmoxicillinClavulanicacidwasintotal801.76DDDs.Azithromycinwasprescribedfor591.02DDDs.AmoxicillinClavulanicacidwasprescribedin21ofthenursinghomesandAzithromycininonlyfournursinghomes,bringingittothesecondplaceinApril2016.ThetotalDDDprescriptiondifferencebetweennursinghome1and2isnotsignificant.

InNovember,thenursinghomewiththemostfrequentDDDprescriptionwasnursinghome22withatotalof333.33DDD/1000residents/day.Thisis119DDDshigherthanthesecondhighestnursinghome(nursinghome43with214.29DDD).ThemeanDDDsprescribedinNovember2016was70.83DDD.Azithromycinwasprescribedfor303.03DDDsinnursinghome22inNovember2016bringingit232.2DDDs/1000residents/dayaboveaverage.

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 101112131415161718192021222324252627282930313233343536373839404142

Used

DDD

s/1000re

siden

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J01DDCeftrixaon

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J01CAAmoxicillline

J01MACiprofloxacine

J01AADoxycycline

J01XENitrofurantoïne

J01FAAzitromycine

Figure5.ABusepernursinghomeinApril2016

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AzithromycinisthesecondmostfrequentusedmedicineforAmoxicillinClavulanicacidhasthehighestDDDsprescriptions.AmoxicillinClavulanicacidwasintotalprescribed546.39DDDsandAzithromycin409.46DDD.AmoxicillinClavulanicacidwasprescribedin18ofthenursinghomesandAzithromycininonlyfournursinghomesbringingittothesecondplaceinApril2016.ThetotalDDDprescriptiondifferencebetweennursinghome22andnursinghome43isnotsignificant.

Likeinthepreviouspart,theusedantibioticsinAprilarethesameasinNovember.Thenursinghomesmayhaveguidelinesofantibioticusethattheyuse,meaningthattheusedantibioticswillalwaysbethesameuntilanewdrugisinventedoraddedtotheABguidelines.Clearly,themostusedclassofantibioticswillbeJ01,sincethiswasalreadythecaseintheresultsoftheperiods.Atanursinghomelevel,theABuseisalsoevaluated.AsseeninFigure6,themostuseddrugistheAmoxicillinClavulanicacidfollowedbyAzithromycin.ThedifferencebetweenthesetwoprescriptionsisthattheAmoxicillinClavulanicacidisprescribedin21differentnursinghomesandtheAzithromycininonlyfour.Azithromycinisadrugthatismainlyusedforchronicalinfectionoftherespiratorytractforexamplechronicalbronchitisofpneumonia,infectionsinthethroat,shares(tonsillitis),cavities(sinusitis),earinfections,urinarytractinfectionsandskininfections.However,thisdrugisnotthefirstchoicefortheindicationsmentionedbefore.AmoxicillinClavulanicacidis,meaningthatatfirstAmoxicillinClavulanicacidwillbegiventotheresidentandifthatdoesnotwork,thenAzithromycinwillbeused.AsseeninFigure5andFigure6,thereisapeakinAprilandNovemberforthenursinghomes1and22thathaveusedAzithromycin.ThesenursinghomeshavethehighestusedDDDper1000residents/day.

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Figure6.ABusepernursinghomeinNovember2016

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ThereasoninbothnursinghomesfortheDDDistheAzithromycinusage,whichis486.25DDDinApriland303.03DDDinNovember.ThereasonforthishighusagecouldbeanoutbreakinthenursinghomeswhereahighdosageofAzithromycinhadtobeusedtocuretheinfectedresidents.MeaningtherewasanoutbreakinAprilandinNovember.AsseenintheleafletofAzithromycin,21AzithromycinisabroadspectrumdruganditisusedforLRTI,earinfections,skininfectionsandUTImeaningthatthisdrugcanbethesecondlinedrugsthatgeriatriciansprescribemakingitthesecondmostuseddruginthenursinghomes.NotshowninthegraphbutapartoftheresultsisthattherewasameasurementofAmphotericinB.Theresultsshowedthattherewasaprescriptionofthreetimesof625mgofAmphotericinB.OneDDDofAmphotericinBis35mg16meaningthattherewouldbeanincreaseof260.05DDDforthatspecificnursinghome,bringingittoatotalof325.97DDD.Nowthiswouldnotbesignificanthigherthantherest,howeveritwasimpossibletoimaginethatonepersonwouldhavereceived260.05DDDinoneday.Thisiswhyitisremovedfromtheresultsandnottakenintoconsiderationforthecalculations.AreasonforthiserrorcouldbethatthedoctorwhofilledintheamountmadeamistakeandwroteAMFB(AmphotericinB)insteadofAMCL(AmoxicillinClavulanicacid),butthiscouldnotbechecked.TheassumptionwasmadethathewantedtowriteAMCLbecauseasmentionedinthemethods,AmoxicillinClavulanicacidisprescribedinadoseof625mgofwhich500mgistheworkingcomponent.ThisisnotthecasewithAmphotericinBbutthedoseintheresultsshowedthat3times625mgwasused.Therefore,itwasassumedthattheAmphotericinBissupposedtobeAmoxicillinClavulanicacidandsoitwasnotusedintheresults.

AsseeninthegraphsofABusepernursinghomeandAbuseperperiod,thereisadifferenceintheamountofDDDsused.TheDDDsintheABusepernursinghomeismuchhigherbecauseofthewaythedefineddailydosehastobecalculated,thisisbecausetheDDDisper1000residents/1day.TheDDDmustbecalculatedforeveryquestionmeaningthatwhenDDDiscalculatedfortheperiod,theamountofuseddrugswillbedividedbyadifferentamountofpeoplethenwhenitiscalculatedpernursinghome.Thisresultsindifferentvaluesforeverycalculation.

ABuseindifferentspecialismsEverynursinghomeparticipatingtheSNIVprotocolin2016hadthreespecialisms:thesomatic,revalidationandthepsychogeriatricdepartments.Thesomaticdepartmentisforthepeoplewhosufferachronicillnessandhavetobeconstantlytreated.Therevalidationdepartmentisthedepartmentwherepatientscomefromahospitalthathavetorecoverafterasurgeryforexample.Thepsychogeriatricdepartmentisthedepartmentwhichisspecializedintreatingofmentaldisordersinpatientswitholdage.Table7andFigure7displaytheantibioticuseinthedifferentspecialismsofallthenursinghomestogetherinApril.AsseeninThevalueshavebeennotedinDDD/1000residents/day.AsseeninTable7andTable8,ofalltheantimicrobialsusedinthesomatic,revalidationandpsychogeriatricdepartments,thesystemicuse(J01)accountsfor100%intherevalidationandpsychogeriatricinAprilandinthesomaticandrevalidationdepartmentinNovember.

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InthesomaticdepartmentinAprilontheotherhand,99.79%ofalltheantibioticsusedweresystemicuse(J01)andinNovember99.09%weresystemicinthepsychogeriatricdepartment.Theremainingpercentagewhereantimycoticsforsystemicuse(J02).Everydepartmenthasadifferenttopfivemedicineclassesusedin2016(Appendix3).AsseeninTable7andFigure7,themostfrequentclassofmedicineusedinAprilinthesomaticdepartmentwastheJ01C(31.32%).Themostfrequentusedbeta-lactamantibacterialsinAprilwhere:AmoxicillinClavulanicacid(23.01%)andAmoxicillin(8.31%).AsseeninTable8andFigure8,inNovemberthetopfivemedicineclassesusedwhereJ01C,J01F,J01M,J01XandJ01AwithJ01Casthemostfrequentusedclass(40.27%).AmoxicillinClavulanicacid(29.46%),Amoxicillin(6.44%),Flucloxacillin(3.45%)andFenticillin(0.91%)belongtothisclassandarethemostusedbeta-lactamantibacterialsinNovemberinthesomaticdepartment.InApril,themostfrequentclassofmedicineusedintherevalidationdepartmentwastheJ01F(34.86%).Themostfrequentusedmacrolides,lincosamidesandstreptograminsinAprilwhere:Azithromycin(26.03%)andClindamycin(8.83%).InNovemberthetopfivemedicineclassesusedwhereJ01C,J01F,J01X,J01MandJ01EwithJ01Casthemostfrequentusedclass(31.30%).AmoxicillinClavulanicacid(24.29%),Amoxicillin(4.68%)andFlucloxacillin(2.34%)belongtothisclassandarethemostusedbeta-lactamantibacterialsinNovemberintherevalidationdepartment.InAprilthemostfrequentclassofmedicineusedinthepsychogeriatricdepartmentwastheJ01C(48.69%).Themostfrequentusedbeta-lactamantibacterialsinAprilwhere:AmoxicillinClavulanicacid(35.60%),Amoxicillin(9.40%)andFlucloxacillin(3.69%)InNovemberthetopfivemedicineclassesusedwhereJ01C,J01X,J01M,J01AandJ01EwithJ01Casthemostfrequentusedclass(40.73%).AmoxicillinClavulanicacid(24.44%),Amoxicillin(14.47%)andFlucloxacillin(1.82%)belongtothisclassandarethemostusedbeta-lactamantibacterialsinNovemberinthepsychogeriatricdepartment.Table7.PercentageoftheantibioticuseofdifferentspecialismsofallthenursinghomesinApril2016Somatic Revalidation Psychogeriatric

J01C 31,32 J01F 34,86 J01C 48,69

J01F 26,26 J01X 27,47 J01X 22,83J01M 12,91 J01C 21,78 J01M 14,44J01A 12,77 J01M 11,77 J01D 8,07J01X 9,28 J01E 3,92 J01E 4,98J01E 6,18 J01D 0,00 J01F 4,13J02A 1,28 J01A 0,00 J01A 0,00J01D 0,00 J02A 0,19 J02A 0,00

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Table8.PercentageoftheantibioticuseofdifferentdepartmentsofallthenursinghomesinNovember2016Somatic Revalidation Psychogeriatric

J01 100 J01 100 J01 99.09J01C 40.27 J01C 31.30 J01C 40.73J01F 25.05 J01F 27.07 J01X 33.49J01M 13.81 J01X 26.90 J01M 10.87J01X 13.21 J01M 10.63 J01A 7.24J01A 4.60 J01E 4.09 J01E 5.42J01E 2.75 J01A 0.00 J01F 1.34J01G 0.31 J02A 0.00 J02A 0.91J02A 0.00 J01G 0.00 J01G 0.00

InApril,thespecialismwiththemostfrequentDDDprescriptionwasthedepartmentofrevalidationwithatotalof76.99DDD/1000residents/day(Table7).Thisis18.88DDDhigherthanthesecondhighestdepartment(somatic58.11DDD).ThemeanDDDsprescribedinApril2016was55.60.ThemostfrequentusedantibioticsinthesomaticdepartmentareAzithromycin(13.59DDD)andAmoxicillinClavulanicacid(13.37DDD)inApril2016bringingit2.51DDDs/1000residents/dayaboveaverage.ThemostfrequentusedantibioticsintheRevalidationdepartmentareAzithromycin(20.04DDD),Nitrofurantoin(18.88DDD)andAmoxicillinClavulanicacid(13.60DDD)inApril2016bringingit21.39DDDs/1000residents/dayaboveaverage.AndfinallythemostfrequentusedantibioticsinthepsychogeriatricdepartmentareAmoxicillinClavulanicacid(11.29DDD)andNitrofurantoin(6.81DDD)inApril2016bringingitwith32.71DDDintotal22.79DDD/1000residents/dayunderaverageusage.InApril2016,thethreespecialismsuseddifferentamountofantibiotics.TherevalidationdepartmenthadthehighestamountofDDDsused(76.99DDD/1000residents/day)followedbysomatic(58.11DDD/1000residents/day)andthelowestamountofDDDswereusedbythepsychogeriatricdepartment(32.71DDD/1000residents/day).Thedifferencebetweenthedepartmentssomaticandrevalidationisnotsignificant.Soisthedifferencebetweenrevalidation-psychogeriatricandsomatic–psychogeriatric.

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AsseeninFigure8inNovember,thedepartmentwiththemostfrequentDDDprescriptionwasrevalidationwithatotalof115.29DDD/1000residents/day.Thisis34.41DDDhigherthanthesecondhighestdepartment(Somatic58.11DDD).ThemeanDDDsprescribedinApril2016was73.82.ThemostfrequentusedantibioticsinthesomaticdepartmentareAmoxicillinClavulanicacid(23.83DDD),Azithromycin(16.72DDD)andCiprofloxacin(10.80DDD)inNovember2016bringingit7.06DDDs/1000residents/dayaboveaverage.AsseeninTable8,themostfrequentusedantibioticsintheRevalidationdepartmentareAmoxicillinClavulanicacid(28DDD),Nitrofurantoin(25.61DDD)andAzithromycin(15.71DDD)inApril2016bringingit41.47DDDs/1000residents/dayaboveaverage.AndfinallythemostfrequentusedantibioticsinthepsychogeriatricdepartmentareNitrofurantoin(7.10DDD)andAmoxicillinClavulanicacid(6.18DDD)inNovember2016bringingitwith25.29DDDintotal48.53DDD/1000residents/dayunderaverageusage.InNovember2016,thethreespecialismsuseddifferentamountofantibiotics.TherevalidationdepartmenthadthehighestamountofDDDsused(117.99DDD/1000residents/day)followedbysomatic(81.61DDD/1000residents/day)andthelowestamountofDDDswereusedbythepsychogeriatricdepartment(25.29DDD/1000residents/day).Thedifferencebetweenthespecialismsomatic-revalidationandsomatic-psychogeriatricisnotsignificantbutthedifferencebetweenrevalidation-psychogeriatricis(p<0.05(CI0.80-9.79)).InApril,theSomaticdepartmentused13.59DDDAzithromycin,13.37DDDAmoxicillinClavulanicacidand4.09DDDofNitrofurantoin.

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J01DOtherbeta-lactamantibacterials

J01CBeta-lactamantibacterials,penicillinesJ01ATetracyclines

Figure7.ABuseperspecialisminApril2016

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TheRevalidationdepartmentused20.04DDDAzithromycin,13.60DDDAmoxicillinClavulanicacidand18.88DDDofNitrofurantoin.Finally,thepsychogeriatricdepartmentused11.29DDDAmoxicillinClavulanicacidand6.81DDDofNitrofurantoinInNovember,theSomaticdepartmentused16.72DDDAzithromycin,23.83DDDAmoxicillinClavulanicacidand7.63DDDofNitrofurantoin.TheRevalidationdepartmentused15.71DDDAzithromycin,28.00DDDAmoxicillinClavulanicacidand25.61DDDofNitrofurantoin.Finally,thepsychogeriatricdepartmentused6.81DDDAmoxicillinClavulanicacidand7.10DDDofNitrofurantoin

Figure8.ABuseperspecialisminNovember2016

Afterunderstandingtheroleofeveryspecialism,therevalidationdepartmentappearstohavethehighestamountofDDDsbecausetheseresidentsarerecoveringandhavetogobacktothesocietyassoonaspossible.Thesomaticdepartmentwillbesecondbecauseofthechronicillnessesmeaningtheyhavetousethemedicinefortherestoftheirlivesandthepsychogeriatricdepartmentwillbethirdasthenursinghomesneedtotakethecost-benefitintoconsiderationfortreatingthesepeople.AsseeninFigure7andFigure8,intherevalidationdepartmenthadthemostusedDDDsfollowedbythesomaticandfinallythepsychogeriatricdepartment.

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Asseeninthegraphs,threetypeofdrugsarethemainuseddrugsandhavethehighestDDDs.ThesedrugsaretheAzithromycin,AmoxicillinClavulanicacidandtheNitrofurantoin,whichallarebroad-spectrumantibiotics.Nitrofurantoinisabroad-spectrumantibioticmainlyusedforacuteUTI,short-livedprophylaxisbytransurethralinterventionsorsurgeryoftheurinarytractandforlong-termtreatmentoftheUTI(6months)21.ThismeansthatNitrofurantoinis,justliketheothertwoantibiotics,usedforthemostoccurringinfection.Therefore,itisplausibletheusagewillbehighinallthedepartments.AsseeninthegraphsofFigure7andFigure8,theDDDsusedinAprilandNovemberdiffer.ItseemsthattheamountofDDDsusedislessinAprilthaninNovember.ThiswasseeninthediscussionoftheDDDsusedintheperiods,soitwasexpected.WhencomparingAprilwithNovemberthesomaticdepartmentdiffers20DDD,therevalidationdiffersalmost40DDDandthepsychogeriatrichasdeclinedwithadifferenceofalmost10DDD.Themostnoticeabledifferenceisattherevalidationdepartment.Asexplainedbefore,themoreuseofantibioticsinNovembercouldbeaprophylacticchoiceinordertopreventpatient’sformbeinginfected.Theobservationthattheantibioticuseislargerintherevalidationdepartmentfitswellinthatconclusion,asthesepatientscomefromahospitalafterasurgeryforexampleandsotopreventthemfrombeinginfectedwithbacteriaafterthistheyhavetotakeprophylacticantibiotics.MeaningthatthisdepartmentwillhaveahighDDDused.ThereasonwhyinNovembertheusagerisescouldbebecausethegeriatriciansknowempiricallythatthereisahighertendencyofgettinginfectedwithaLRTIforexampleinNovemberthaninApril,meaningthattheusageofantibioticswillriseinthatspecificperiod.

VariationinABuseinNHsandthemeanofABuseintheNetherlandsTherewasavariationbetweenthenursinghomeclusters(mean)andthenursinghomescorrespondingtothosenursinghomeclusters.AsseeninFigure9(Appendix4.1),thelargestdifferences(+/-10%)betweenthenursinghomeantibioticprescriptionsandthenursinghomeclustersprescriptionarewiththefollowingnursinghomes:E,LandM.NursinghomeclusterEhadapercentageof8.3usersandthenursinghomewiththehighestuser’sratehadapercentageof25.NursinghomeclusterLhadameanof5.6%usersandthenursinghomewiththehighestuser’sratehadapercentageof15.6.NursinghomeclusterMhadapercentageof14.7usersandthenursinghomewiththehighestuser’sratehadapercentageof30.8.NursinghomeclustersC,I,J,N,O,P,T,UandWhadonlyonenursinghomeintheirclustermeaningthosenursinghomeclusterscouldnotdifferfromthemeanusage.Thenursinghomeswiththesmallestdifference(+/-1%)wereFandR.

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Thenationalmeanpercentageofallthenursinghomestogetherwas5.81%.

Bluestripescorrespondtomeanvalueofthenursinghomeclusters.

InNovember,thevariationremainsbetweenthenursinghomeclustersandtheircorrespondingnursinghomes.AsseeninFigure10(Appendix4.2),thelargestdifferences(+/-10%)betweenthenursinghomeantibioticprescriptionsandthenursinghomeclustersprescriptioniswithnursinghomeG.NursinghomeclusterGhadapercentageof8.7usersandthenursinghomewiththehighestuser’sratehadapercentageof28.6.Thenursinghomeswiththesmallestvariation(+/-1%)wereAandF.NursinghomeclustersC,N,O,P,T,UandWhadonlyonenursinghomeintheirclustermeaningthosenursinghomeclusterscouldnotdifferfromthemeanusage.Thenationalmeanpercentageofallthenursinghomestogetherwas6.46%.

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Figure9.VariationinABusersinnursinghomesbetweenandwiththenursinghomeclustersinApril2016

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Figure10.VariationinABusersinnursinghomesbetweenandwiththenursinghomeclustersinNovember2016Bluestripescorrespondtomeanvalueofthenursinghomeclusters

Figure9describesthepercentageofresidentswhoreceivedanantibioticinApril.Thefiguredescribeshowmuchthenursinghomesdifferfromthepercentageoftheirnursinghomeclusterandalsohowmuchthenursinghomeclustersandtheirnursinghomesdifferfromthenationalmeanpercentage.Asseeninthisfigure,thereare22nursinghomesthatusemoreantibioticsthanthenationalaverageandtherearefournursinghomeclustersthathaveahigherpercentageofantibioticusersthanthenationalaverage.ForthenursinghomesinNovemberappliesthesame.AsseeninFigure10,19nursinghomesand7nursinghomeclustershaveahigheruserpercentagethanthenationaluserpercentage.Itisapossibilitythateverynursinghomeclusterhashisownguidelinesaboutantibioticuseandsothenursinghomescorrespondingtothatspecificnursinghomeclusterwillallhavethesamepercentageofantibioticuse.AsseeninFigure9andFigure10,inAprilandNovemberthiswasnotthecase.FivenursinghomeclustersinAprilandtwonursinghomeclustersinNovemberhadnursinghomesthatdifferedmorethan5%fromthepercentageofthenursinghomeclusters.Thedifferencewasnotsignificantbutthepercentagewasnotthesameasthenursinghomecluster.Thereasonforthiscouldbethattherewasanoutbreakinthosespecificnursinghomesandtheyhadtousemoreantibioticsoreventhefollowing.Severalnursinghomeclustersandnursinghomeshaveahigherpercentageofantibioticusethanthenationalaveragesincetherearenogovernmentalrestrictionsforantibioticuse,thereareonlyguidelinesandrules22.Forthenursinghomesandthenursinghomeclustersitisgoodtoknowwheretheystandcomparedtothenationalaverage.Knowingthatanursinghomeisusingmoreantibioticthanthenationalaveragemightmakethenursinghomeornursinghomeclusterslookinmoredetailintotheirusage.Theremightbeasmalloutbreakforexamplewithoutthestaffknowing.

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Althoughtheappropriatenessoftheantibioticprescriptioninnursinghomesin2016wasnotstudiedinthisresearch,therehavebeenstudiesthatdid22–27.AsstatedbyStuartEtalinastudyabouttheantibioticuseandmisuse,thereareseveralcasesofinappropriateantibioticprescribinginnursinghomesItisknownthatitismoredifficulttodiagnosetheelderlywithaninfectionbecauseofthenon-typicalsymptomsthattheymighthave19.Thismeansthatantibioticmighthavebeenunnecessaryprescribedandusedinsomecaseswheretheresultsshowedthatthereisauseofanantibiotic.Thiscouldinfluencetheresultsinawaythattheresultsmightbeoverestimated.Theinfectionsmightevenbemoredifficulttotreatbecauseofthehigherdiversityofcausativepathogensthatcomewithage19.

Conclusionofscienceresults72NursinghomesdidparticipatetotheSNIVprevalencesurveyin2016ThemostcommonreasonfornursinghomestonottoparticipatetotheSNIVprotocolwas:lackingofresourcesandtimeTheresultsshowthatin2016theantibioticuseinDDDs/1000residents/daywashigherinNovemberbutthedifferencebetweenAprilandNovemberwasnotsignificant.IngeneralAmoxicillinClavulanicacidwasthemostuseddrugbynursinghomesperperiod.MeaningthatintotalitwasthemostuseddruginDDDs/1000residents/day.AzithromycinwasthemostuseddruginAprilandNovemberpernursinghome.Meaningthatithadthehighestprescribeddose(DDDs/1000residents/day)inonenursinghomecomparedtotherestoftheantibiotics.UTIisthemostcommoninfectionfollowedbyLRTIinAprilandNovemberintheparticipatingnursinghomes.TherevalidationdepartmenthasinAprilandNovemberthehighestamountofprescribedDDDs/1000residents/daycomparedtotheresofthespecialism.ThePGdepartmenthastheleastamountopprescribedDDDs/1000residents/dayInAprilthenationalaverageprescriptionratewas5.81%with8nursinghomespassingthisaverageandinNovember6.46%with9nursinghomespassingthisaverage

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IV/VAdvice/ImplementationForeveryadviceaStrengths,Weaknesses,OpportunitiesandThreats(SWOT)-analysiswillbeperformed.Bydoingso,thegivenadvicecanbeanalyzed,meaningthatthestrengthoftheadvicecanbeanalyzedtoseewhatthebenefitsare.Theweaknessesoftheadvicearethepointsthateitherstillhavetobeimprovedtomaketheadvicebetteroraretheweakpointsoftheadvice.Theopportunitiesoftheadvicecanbeanalyzedtoseewhattherewillchangeinthefutureaftertheadviceisimplementedandwhataretheimprovementsforinthefuture.Thethreatsoftheadvicearethepointsthatcouldinfluencethecompanylateron,meaningwhatwillhavetobedonetoexecutetheadviceandwillcausedifficultiesorevenmakethesituationforthecompanymoredifficultinthefuture.

DigitalizationoftheElectronicaClientsDossier(ECD)BymakingtheECDofallthenursinghomesremotelyaccessibletheRIVMwillbeabletoaccessthedatafromoffice,resultinginthattheregistrationnolongerhavetobeperformedbythegeriatricians.Heorshenolongerhastochooseadayandregisteralltheclientsofthenursinghome.Theregistrationformsnolongerhavetobefilledinandallthemedicationuseofalltheclientsnolongerhastobewrittendown.AdatasafeismadebytheRIVMwhereallthedatacanbestored.EverydayageriatricobserveshispatientsandwriteseverythingdownintheECD.Themedicationthatisprescribed,theproblemsthattheclientsencounter,thesituationoftheclientetc.Thisallisstoredinafileofthespecificclientandisstoredinthecomputer.Bydigitalizingthisprocedure,thestoredinformationwillbesendtothedatasafeonline,meaningthatthedataissenteverydaytothedatasafewherealltheinformationabouttheclientsofeverynursinghomeisstored.Withthisdatastoredinthedatasafe,thegeriatriciansnolongerhavetoperformthiswholeprocessagainononespecificday.TheRIVMcansimplygettheinformationoutofthedatasafeononespecificdayandnotethevaluesintheSNIVdataset.AsseeninTable9,thestrengthsareinthecategoryofsimplifyingtheprocessandimprovingthedata.Nosubjectisskippedandnodataislostbecauseitisalldigitalandtheopportunitiesshowthatwiththismethodanew,betterandmainlylargerdatasetwillbecreatedwhichcanbeusedforfuturestudies.Theadvicehasalsoweaknessesandtheyalltendtowardsthedatasafeitself.Itisnotmadeyetandthereisnobudgettomakeit.However,thebiggestweaknessisthattherearemultipleECDsinuse.TherearenorulesabouttheECDsoftware,meaningthatalmosteverynursinghomeusesadifferentECD.SoalltheECDsoftwaremakershavetoparticipatewiththisprocessandadjusttheirsoftwaresoeverydayitwillsendallthedatatothedatasafe.Thiswillonlybedoneifthenursinghomesdemandit.Thenextpointofconcernisthesafetyofthedataset.Thedataisonlineinadatasafemeaningitcanbehackedandstolenortheservercancrash,meaningthatallthestoreddatawillbegone.Tosolvethis,thedatasafecanhaveaback-upeveryweeksonolargeamountofdatawillbelostifthesystemcrashes.Toensurethatthedatawillnotbestolenbyhackers,thesystemhastobeprotectedatalltimeswiththelatesttechnology.

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Table9.SWOT-analysisofthefirstadvice

SWOT-analysisStrengths Weaknesses

• Fasterregistration• Lessresourcesneeded• Nooneisskipped• Noinformationislost• Analysescanbeperformedfaster• Datacanbecollectedeasierwhen

morestudiesareconducted

• Theonlinedatasafestillhastobemade

• AllthedifferentECDshavetobemadetosupportthissystem

• Thereisnobudgetforthissystem

Opportunities Threats• Abiggerdatasetforfuturestudies• Morenursinghomescanparticipate• Moredatacanbecollected• Moreanddifferentstudiescanbe

performedwiththegrowingdataset

• DependedoftheECDcreators• Ifthedatasafecrasheseverything

willbeerased• Ifhacked,itisnolongeranonymous

andalldatacanbepublished

SNIVparticipationcertificate(includingatraining)AccordingtoFigure3,thenursinghomeshavenotimeorresourcesfortheregistrationtoparticipatetotheSNIVprotocol.TomotivatetheNHstodedicatetimefortheregistration,amethodneedstobemadesotheywillbemoremotivatedtoparticipate.Becausethenursinghomesarenotownedbythegovernment(thegovernmentcannotforcethemtoparticipate),thestickandcarrotmodelcanbeusedinthissituation.Thestickandcarrotmodelstandsforforceandpersuasion,inourexamplethestickstandsforforce.AsmentionedbeforetheNHscannotbeforcedtoparticipatetotheSNIVprotocolmeaningthecarrothastobeused(motivation).AgoodwaytomotivatetheNHstoparticipateistohandsomething,whichtheycanusetoshowthequalityoftheNHwhenclientswanttocomeandlivethere.Whatthegovernmentcoulddo,ishandoutcertificatestotheNHswhoparticipatetotheSNIVprotocolstatingthattheNHswhichhavethesecertificatesarefullyawareoftheinfectionsandtheamountofantibioticsusedintheirNHs.AndalistwillbemadewhichshowsthenamesoftheNHswhichhavethecertificatesoeveryonewillbeaware.ThiswillcreateatrustworthinesstowardstheclientslivingintheNHsaswellastothefamiliesoftheresidents.Whatwillhappen,isthatalltheNHswillwantthiscertificateandtheirnameonthelistaseveryonewouldwanttheirelderlyparentstogotoaNHwhichisawareofalltheinfectionsinsteadofaNHwhichisnot.Inadditiontothis,thegeriatricianscanbetrainedinthecorrectwayofregistrationsothecollecteddatawillalwaysbecorrectandwithlessmistakes.ThisisabenefitforbothRIVMandtheNHs.AsseeninTable10,oneofthestrengthsisthatnomarketingisneededtoconvincetheNHstoparticipate.

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ThecurrentwaytoapproachparticipatingNHsistocallthemandaskiftheywanttoparticipateandsomeofmarketingtoconvincetheNHsthatitisalsointheirinteresttoparticipate.ThiswillnolongerbeneededbecausetheNHswillsee(carrot)thebenefitsandbemotivatedtoparticipate,meaningthattheywillcalltoparticipateinsteadoftheRIVMcallingtheNHs.EventuallymoreNHswillparticipateandthedatasetwillgrow,meaningmoredatawillbeavailablefordifferentstudiesthatcanbeperformedinthefuture.Theweaknessesoftheadvicearethatthereisnocertificatemadeyet.Thegovernmenthastobeconvincedofthepotentialsofthismethodandtheyhavetoprocessanddecideifitisagoodmethod,meaningthisisnotsomethingthatwillbeappliedinafewmonths.ThebiggestthreatisthattheNHsmightnotsendinrealdatabuttheywillsenddatajusttogetthecertificate,meaningthesentdatacanbefalsepositiveorfalsenegative.ThiscanbesolvedbysendingRIVMpersonneltorandomlyselectedNHstocheckiftheyaresendingtherightdata.Thiswilllowerthechanceofbiaseddata.Table10.SWOT-analysisofthesecondadvice

SWOT-analysisStrengths Weaknesses

• MoreNHswillparticipateinordertoreceivethecertificate

• MorepatientswillgototheNHswithacertificate

• NomarketingisneededtoconvinceNHtoparticipate

• Structuredwayofcollectingdata• NHswithacertificateobtainacertain

trustworthiness

• Acertificatehastobemade• TraininghastobegiventotheNHsin

ordertocollectthedatainthesameway

• TheRIVMpushestheproblemtothegovernmentinsteadofsolvingititself

• Abudgetisneeded

Opportunities Threats• InthefuturemoreNHswill

participateinordertoreceivethecertificate

• PatientswillonlygotoNHswithacertificate

• Moredatawillbecollectedandcanalsobeusedfordifferentfuturestudies

• Thecollecteddatacanbefalsepositiveorfalsenegative

• ThereisachancethatRIVMworkershavetogotoNHstosurveillancethedatacollectionmethodinordertoreceivecorrectdata

• Dependentofthegovernmentatalltimes

• Abudgethastobemade

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Selfregistration

Asmentionedbefore,theregistrationofthepatientsisperformedbyageriatricianoftheNH.HeorshechoosesonedayinAprilorinNovembertoanswerallthequestionsintheregistrationformforalltheclientsinaNHandsendsittotheRIVMtobeanalyzed.AsseeninFigure3,themainreasonfornotparticipationisthelackingofrecoursesandtimefortheregistration.Awaytosolvethisproblemisbytakingthisobstacleoutofthewayanddoingthisforthem,meaningthattheRIVMpersonnelgoestoaNHanddoestheregistrationforthem,savingtimeandresources.AsseeninTable11,bysendingRIVMpersonneltoNHstoperformtheregistration,theNHswillsavetimeandresources,theRIVMpersonnelcancollectthedatathatisneededandifsomethingischangeditcandirectlybeappliedmeaningthedataisalwayscorrect.Oneofthebestpointsisthatitcanbeapplieddirectlyandnoextrabudgetisneeded.PositiveeffectsofthismethodarethatmoreNHswillwanttoparticipate,meaningmoredatawillbecollectedandstoredforfuturestudies.ThedownsideofthismethodisthatwhenmoreNHswanttoparticipate,theworkloadwillincreasemeaningmoreRIVMpersonnelhastogotoNHsandmorepeoplehavetobehiredfortheregistration.Thiscanbedonebyhiringspecialistsparttime,onlyfortheregistrationtwiceayear.TheotherdownsideisthattheNHsmaynottrustthedatacollectorsandnotallowthemtoseethedatameaningregistrationcannotbeperformed.ThisadvicewaspresentedtothestaffofRIVMduringtheSNIVmeeting.Becauseofitsbenefitsandsimplicity,itwasimplementedrightawaycausingariseofparticipationof40%.ThismethodwillnotonlybeusedfortheSNIVprotocolbutalsoforotherstudieswhereregistrationhastobedone.Theorganizationofchoicewillbeaskediftheywanttoparticipateandwhenrejected,thesolutionofself-registrationbyRIVMpersonnelcanbesuggested.Table11.SWOT-analysisofthethirdadvice

SWOT-analysisStrengths Weaknesses

• Safestime• Safesresources• Geriatriciansdon’thavetodothe

registration• Collecteddataismorereliableand

collectedmorestructured• Noextrabudgetisneeded

• RIVMpersonnelhavetogototheNHsmeaningthedailyworkhastowait

Opportunities Threats• MoreNHswillparticipate• Moredatawillbecollectedandmore

differentstudiescanbeperformedinthefuture

• Morereliableinformationwillbecollected

• Whendifferentdataisneededitcandirectlybecollected

• NHsmaynottrustthedatacollectorsandnotallowtheregistration

• ThemoreNHsparticipatethemorepersonnelhavetobehiredtoperformtheregistration

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16. HutchinsonJM1,PatrickDM,MarraF,NgH,BowieWR,HeuleL,MuscatM,MonnetDL.Measurementofantibioticconsumption:ApracticalguidetotheuseoftheAnatomicalTherapeuticChemicalclassificationandDefinedDailyDosesystemmethodologyinCanada.CanJInfectDis.2004Jan;15(1):29-35.

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26. LoebM,SimorAE,LandryLetal.AntibioticuseinOntariofacilitiesthatprovidechroniccare.JGen

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AppendixIInfectiontype Definition

Sepsis/bacteremia Tobeidentifiedassepsis/bacteremiatheresidentsmustbediagnosedwithatleasttwoofthefollowingclinicalsymptomswithoutanyothervisiblecause.

- Fever- Hypotension(systolicpressure<90mmHg)- Oliguria- Doctordiagnosisincludingstartofanantibiotic(unlessforexampleterminal

patients)- Positivebloodsamples

Lowerrespiratoryinfection

BasedontheGraffelmanetalandMacfarlaneetalAtleastthreeofthefollowingsymptomshavetobeidentifiedordeteriorate.

- Fever>37.9°Corfeverinthepast48hours- Dyspneaorcoughing(productiveornon-productive)- Tachypnea,malaiseorconfusedandnewfocaldisorderwith

auscultationofthelungs

Urinarytractinfection BasedontheVERENSO-guidelinesTobeidentifiedasaurinarytracttheresidentsofthenursinghomesmustmeetthefollowingcriteria:

- Micturitionrelatedcomplaintsand/orsymptoms- Presenceofbacteriuria- Signsofinflammation- Onlyurinecatheterrelatedifin7daysbeforeregistrationa

urinecatheterisused.Gastrointestinalinfection

Theresidentsofthenursinghomesmustbediagnosedwithatleastoneofthesecriteriatobeidentifiedwithagastrointestinalinfection:

- Threetimesormoreliquidstool(aberrantofnormalfortheresidentandfrequencyisnotimportantwhenincontinencematerialsused)\

- Orliquidstoolandtwoofthefollowingsymptoms:• Fever,vomiting,nausea,stomachache,abdominalcramps

andbloodorslimeinthestool- Orvomitingandtwoofthefollowingsymptoms:

• Fever,nausea,stomachache,abdominalcrampsandbloodorslimeinthestool

- Orvomitingthreetimesin24hours:withoutadditionalcomplaints(ifvomitingdoesnotcorrespondentwithdruguse)andnootherreasonisknown

Bacterialconjunctivitis

Theresidentsofthenursinghomesmustbediagnosedwithatleastthesecriteriatobeidentifiedwithabacterialconjunctivitis*:

- Painorrednessorpurulentsecretionoftheconjunctivaoradjoiningtissuelikeeyes,cornea,lacrimalglandsorglandsMaypole(>24hours)*Symptomsdidnotariseduetoallergicreaction.

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Appendix2AntibioticUseinallthenursinghomesDDDs/1000residents/1day

ATC April Nov J01AA Doxycycline 2.51 2.24 J01CA Amoxicillline 3.38 4.22 J01CE Feneticilline 0.00 0.62 J01CF Flucloxacilline 0.94 0.00 J01CF Dicloxacilline 0.01 0.00 J01CF Flucloxacilline 0.00 1.43 J01CR Amoxicillline/Clavulaanzuur 12.28 13.91 J01DD Ceftrixaon 1.50 0.00 J01EA Trimethoprim 1.88 1.43 J01EC Sulfamethoxazol 0.26 0.00 J01EE Trimethoprim/Sulfametrol 0.25 0.50 J01FA Claritromycine 0.38 0.50 J01FA Azitromycine 6.46 7.03 J01FF Clindamycine 1.32 2.30 J01GB Gentamicine 0.00 0.08 J01MA Ciprofloxacine 5.23 5.85 J01MA Norfloxacine 0.75 0.12 J01XA Vancomycine 0.38 0.00 J01XE Nitrofurantoïne 6.96 8.76 J01XX Fosfomycine 0.50 2.01 J01XX Linezolide 0.00 0.25 J02AC01 Fluconazole 0.25 0.00 J02AC Itraconazol 0.01 0.12

Total 45.25 51.37

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Appendix3AntibioticuseofallthethreespecialismsinAprilDDDs/1000residents/1day

April Somatic Revalidation Psychogeriatric J01A Tetracyclines 7.43 0.00 0.00 J01C Beta-lactam antibacterials, penicillines 18.2 16.77 15.44

J01D Other beta-lactam antibacterials 0.00 0.00 2.56

J01E sulfonamides and trimethoprim 3.59 3.02 1.58

J01F Macrolides, Lincosamide and Streotogramins 15.26 26.84 1.31

J01M Quinolone antibacterials 7.5 9.06 4.58

J01X Other antibacterials 5.39 21.15 7.24

J02A Antimycotics for systemic use 0.74 0.15 0.00

AntibioticuseofallthethreespecialismsinNovemberDDDs/1000residents/1day

November Somatic Revalidation Psychogeriatric

J01A Tetracyclines 3.71 0.00 1.83

J01C Beta-lactam antibacterials, penicillines 32.57 36.09 10.3

J01E sulfonamides and trimethoprim 2.97 7.42 1.37 J01F Macrolides, Lincosamide and Streotogramins 20.26 31.21 0.34 J01G Aminoglycoside antibacterials 0.25 0.00 0.00

J01M Quinolone antibacterials 11.17 12.26 2.75

J01X Other antibacterials 10.68 31.01 8.47

J02A Antimycotics for systemic use 0.00 0.00 0.23

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Appendix4.1AmountofantibioticprescriptionsinallthenursinghomesinApril

NH % of antibiotic prescriptions A 8.9 9.2 8.3 B 10.7 12.8 9.5 7.2 10.2 15.9 C 6.6 6.6 D 0 0 0 0 0 0 E 0 F 2.6 3.4 0 G 8.7 11.8 2.6 28.6 10.4 H 0 0 0 0 I 0 0 0 0 0 J 0 0 0 K 8 11.2 5.3 7.3 10.6 3.9 L 0 0 M 0 0 N 2.8 2.8 O 4.7 4.7 P 9.1 9.1 Q 2.9 2.5 3.2 R 1.9 1.3 0 9.1 S 3.2 6.6 5 5 0 0 T 7.4 7.4 U 3.2 3.2 V 0 0 0 W 11.8 11.8

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Appendix4.2AmountofantibioticprescriptionsinallthenursinghomesinApril

NH % of antibiotic prescriptions A 7.9 9.9 4.1 B 0 0 0 0 0 0 C 3.2 3.2 D 2.9 5.9 2.3 3 2.4 3.9 1 E 8.3 7.7 4.2 6.9 25 8.9 2.8 3.4 8.7 8.33 F 5.3 5.6 4.3 G 0 0 0 0 0 H 1.6 3.8 0 I 1.6 1.6 J 15 15 K 0 0 0 0 0 0

L 5.6 3.8 0 2.2 15.6 4.7 2.6 0 4.3 M 14.7 7.1 4 7.1 22.7 22.7 10 8.3 20.8 30.8 22.6 N 0 0 O 2.9 2.9 P 0 0 Q 3.1 0 3.1 R 0 0 0 0 S 4.3 11.8 6.2 0 0 0.8 T 0 0 U 0 0

V 2.9 0 4.2 6.3 W 0 0