Lifecycleevaluationofmedicaldevices: supportingorjeopardizingpatientoutcomes? Acomparativeanalysisofevaluationmodels
KathleenR.Harkin1 ,JanSorensen2 andSteveThomas1
1CentreforHealthPolicyandManagement,TrinityCollegeDublin(TCD),Dublin,Irelandand 2RCSIHealthcare OutcomesResearchCentre,SchoolofPopulationHealth,RoyalCollegeofSurgeonsinIreland(RCSI),Dublin,Ireland
Abstract
Objectives: Lackofevidenceregardingsafetyandeffectivenessatmarketentryisdrivingthe needtoconsideradoptingalifecycleapproachtoevaluatingmedicaldevices,butitisunclear whatlifecycleevaluationmeans.Thisresearchsoughttoexplorethetacitmeaningsof “lifecycle” and “lifecycleevaluation” asembodiedwithinevaluationmodels/frameworksusedformedical devices.
Methods: Drawingonqualitativeevidencesynthesismethodsandusinganinductiveapproach, novelmethodsweredevelopedtoidentify,appraise,analyze,andsynthesizelifecycleevaluation modelsusedformedicaldevices.Datawasextracted(includingpurpose;audience;characterization;outputs;timing;andtypeofmodel)fromkeytextsforcoding,categorization,and comparison,exploringembodiedmeaningacrossfourbroadperspectives.
Results: Fifty-twomodelswereincludedinthesynthesis.Theydemonstratedsignificant heterogeneityofmeaning,form,scope,timing,andpurpose.The “lifecycle” mayrepresenta singlestage,aseriesofstages,acycleofinnovation,orasystem. “Lifecycleevaluation” focuseson theoverarchinggoalofthestakeholdergroup,andmayuseasingleorrepeatedevaluationto informdecision-makingregardingtheadoptionofhealthtechnologies(Healthcare),resource allocation(Policymaking),investmentinnewproductdevelopmentormarketing(Tradeand Industry),ormarketregulation(Regulation).Theadoptionofalifecycleapproachbyregulators hasresultedinthedeferralofevidencegenerationtothepost-marketphase.
Conclusions: Usinga “lifecycleevaluation” approachtoinformreimbursementdecisionmakingmustnotbeallowedtofurtherjeopardizeevidencegenerationandpatientsafetyby acceptinginadequateevidenceofsafetyandeffectivenessforreimbursementdecisions.
Introduction
Patientsandhealthcarepayersvaluemedicaldevicesthataresafeandeffective.However,thereis verylittledirectclinicalevidenceregardingthesafetyandefficacyofmostmedicaldeviceswhen theyfirstenterthemarketorevenatthepointofreimbursement(1–7).Thishaspromptedmany stakeholderstoconsiderapplyingalifecycleapproachtoevaluationwiththeaimofimproving theevidencebaseovertime.
However,the “medicaldevicelifecycle” isapoorlydefinedconceptandthereisnoconsensus regardingwhatitencompassesnorregardingwhatismeantbylifecycleevaluation(8–11). Instead,theirmeaningisassumed,yetimplicitlyembodiedwithintheevaluationframeworks beingused.
©TheAuthor(s),2024.PublishedbyCambridge UniversityPress.ThisisanOpenAccessarticle, distributedunderthetermsoftheCreative CommonsAttributionlicence(http:// creativecommons.org/licenses/by/4.0 ),which permitsunrestrictedre-use,distributionand reproduction,providedtheoriginalarticleis properlycited.
Withoutcleardefinitions,differentpeopleassumedifferentmeaningsandusetheseconcepts fordifferentpurposes.Indeed,lifecycleevaluationmaymeangeneratingbetterevidenceovertime, butequally,itmaymeanacceptinglimitedorpoor-qualityevidenceearlyinthelifecyclebasedon thepremisethatmoreevidencewillbecomeavailablelater(12).Unfortunately,suchdifferences mayimpactpatientsafetyiftheyarenotmadeexplicit.Forexample,assumingthatadevicehas beenproventobesafeandeffectivebeforebeingmarketedmeanspatientoutcomesmaynotbe analyzedtotheextentthattheywouldbeifitwereknownthatthisisfrequentlyuntrue,thereby, delayingthedetectionofharmfuldevices(5;13–15).Therefore,itisnecessarytounderstandwhat differentpeoplemeanandunderstandbytheseconceptsandhowtheyusethem.
Objectives
Aim
Toexplorethedifferentmeaningsof “medicaldevicelifecycle” and “lifecycleevaluation” as embodiedwithintheevaluationmodelsusedbydifferentactorsinvolvedwithmedicaldevices, andthepotentialimpactthatdifferencesmayhaveonpatientsafety.
Methods
Theunitofanalysisforthisliteraturereviewisthemodelrather thanthearticles.SimilartoMichie,Stralen,andWest,weusethe term “model” tomean ““ahypotheticaldescriptionofacomplex entityorprocess.”” (16),whichinthisstudydenotesanyapproach, framework,modelortheoryutilizedtoevaluatemedicaldevices acrosstheirlifespan(SupplementaryMaterial1).Forthesakeof brevity,throughoutthisarticletheterms “model” or “conceptual model” willbeusedtoencompasstheentirerangeoftheoreticalor conceptualapproaches,models,andframeworks.
Theincludedmodelsweredrawnfromdiversedisciplinesand, consequently,demonstratedextensiveheterogeneity,requiring novelmethodsforanalysisandsynthesis.Thesearebriefly describedhereusingtheENTREQguidelines(17),withmoredetail providedwhereindicatedinthe SupplementaryMaterials
SynthesisMethodology
Usinganinductivequalitativeapproach,modelsweresynthesized usinganalytictechniquesdrawnfromgroundedtheory,qualitative contentanalysis,thematicanalysis,andmeta-ethnography(18–24).
ApproachtoSearching
Duetotheunexpectedlylargenumberoflifecycleevaluation approachesfoundintheliterature,anddrawingonmethods describedpreviously,apragmaticapproachtosearchingwas adopted(25–27).Indeed,complementaryandsnowballtechniques havepreviouslybeenfoundtobemoreeffectiveandefficientat identifyingrelevantmaterialwhenthetopiciscomplexandmultidisciplinary(26;27).Seminaltextsandmodelswereidentified throughscopingsearchesconductedinbiomedicalandmultidisciplinarybibliographicdatabases,theInternet,andspecificWeb sitesusingkeywordsandphrasescoveringtheconcepts “medical device,”“lifecycle,” and “model.” Snowballsearching(i.e.,searching references,referencesofreferences,andcitations)ofseminaltexts wasemployedtoidentifyadditionalmodels. ElectronicSearch strategy:(SupplementaryMaterial2).
DataSources
Systematicscopingsearches:PubMed,EMBASE,andtheCochrane Library.Pragmaticsearches:theinternet,GoogleScholar,and JSTOR.
InclusionCriteria
Anylifecyclemodelthatmaybeappliedtoamedicaldevice (however,thatmaybeconceptualized,e.g.,asaproduct,industry, innovation,therapy,technology,intervention,softwareorhardware,orasaspecifictypeofdevice)(SupplementaryMaterial1) coveringseveralaspectsorstagesofadevice’slifetimewaseligible forinclusion(SupplementaryMaterial3).Modelsdevisedsolelyfor evaluatingmedicineswereexcluded,becausetheirlifecyclestages differconsiderablyfrommedicaldevices,posingdifferentproblems andbeingsubjecttodifferentrequirements.
StudyScreeningMethods
Articlesweresystematicallyscreenedinphasesagainsttheinclusionandexclusioncriteria(SupplementaryMaterial4).Initial
screeningwasconductedconcurrentlywithsearching.Potentially relevanttextsappearingtotakealifecycleapproachwereidentified andsavedinadocumentarchive.
ModelSelection
Documentsinthearchiveweresystematicallyscreenedagainstthe inclusioncriteriafordataextractionintoanExceldatabase,where theywerethenscreenedagainstaselectionalgorithmtoselectone representativetextpermodel,withtheremainderservingasreferencematerials.Searching,screening,selection,anddataextraction iteratedwithdataanalysis.Selectionceasedwhendatasaturation hadbeenreached(i.e.,nosignificantlydifferentmodelsornew themeswereemerging).Potentiallyeligiblemodelsidentifiedsubsequentlyweresavedfortriangulation(SupplementaryMaterials 3 and 4).
ModelandStudyCharacteristics
Thecharacteristicsoftheincludedmodelsandtheirkeyreference textsaresummarizedin Table2 (SupplementaryMaterials8 and 9).
AppraisalRationale
Qualityappraisal(QA),thoughitsuseinqualitativeresearchis contested(28),servestodeepenresearchers’ understandingofthe databeingexamined,makingtheQAprocessvaluableforincreasinginsight(29). Appraisalitems:NoQAcriteriahavebeenuniversallyacceptedforappraisingconceptualmodels.Weadoptedthose usedbyD’Amouretal.(30),assessingwhetheramodelwas underpinnedbytheory,empiricaldata,and/oranexplicitliterature reviewstrategy,assigningascoreofoneforeachcriterionmet. Appraisalprocess:Modelswereappraisedratherthanarticles, therefore,wedrewonadditionaltextsfortheappraisalprocess sincecriteriamaybemetindifferentsources. Appraisalresults are summarizedin Table2 (SupplementaryMaterial7).Nomodelwas excludedbasedonitsscore.
DataExtraction
Extracteddataincludedstudycharacteristicsofreferencetexts;the model’spurpose,perspective,audience,characterization,scope, stagescovered,factorsincluded,focusofinterest,representation (e.g.,diagrams,graphs,mathematicalequations,ortextualdescriptions),levelofapplication,timepointsforanalysis,processdefinition;andthequalitycriteria.Datawereextractedprimarilyfrom thereferencetexts,butsupplementedfromothers. Software:Word andExcel2016forMac(Version16.70).
NumberofReviewers
ThisstudywasconductedaspartofaPhD,therefore,onereviewer (KH)conductedallaspectsofsearching,screening,selection,data extraction,qualityappraisal,analysis,andsynthesis,withsupervision,oversight,discussion,reflection,andreviewbytwosupervisors(STandJS).
Coding
Theunitofanalysiswasthemodel,consequently,codingfocusedon thedataextractedfromthedocuments.Eachmodelwascategorized intooneoffourbroadperspectives(SupplementaryMaterial5).
2 Harkin etal.
Asanalysisprogressedextracteddatawascodedintoincreasingly broadandmoreabstractcategories,enablingcomparisonwithin andacrosscategories.Summariesofeachmodelwereprepared,and visualtoolscreated(Analysiscards)toenableavisualcomparison ofthemodels.
DerivationofThemes
Usingtheconstantcomparativemethod,togetherwithreflective writing,whichsurfacedhigher-orderpatternsinthedata,themes relevanttopatientsafetywerederived. Quotations areusedto supportthefindings.
PositionalityandReflexivity
Theresearcherscomefromamedical,HealthTechnologyAssessment(HTA),and/orpolicybackgr ound,mostly,fromapositivist/ postpositivistparadigm,buttakeapragmaticworldview.Weare interestedinpatientoutcomesandhealthcareefficiency.Consequently,personalprofessionalperspectivesandpre-conceptions werebracketedduringtheinterpretiveprocessandaninductive approachwastakentogroundtheanalysisinthedata( 31 ,p.27, 193 –195).
Trustworthiness
Toensureresearcherconsistency,asystemofdouble-entry,comparison,andvalidationofanalyticdatawasdeveloped.ThedocumentarchiveandExceldatabaseprovidearesearchaudittrail,with SupplementaryMaterials ensuringtransparency.
SynthesisOutput
Severalsyntheseswerecreated,includingacomparativeanalysisof themodels,thedevelopmentofamodeltypology,andathematic analysis.Thisarticlereportsonthecomparativeanalysis.
Reporting
Thefindingsarepresentedinthreesections,withabriefoverview first,followedbyatabularandnarrativedescriptionofthemeaningsattributedto “medicaldevicelifecycle” and “lifecycle evaluation.” Thediscussionexploresimplications,whilsttheconclusionsetsoutthekeyissuesandpotentialsolutions.
Findings
Fifty-twomodelswereincludedinthesynthesis,with51keytexts, drawnfrommultipledifferentperspectives,andorganizedintofour broadcategoriesforcomparison.Ninemodelswerederivedfrom Healthcare(HC),16fromPolicymaking(Policy),eightfromRegulation(Reg),and19fromTradeandIndustry(T&I). Table1 lists themodelsaccordingtotheirperspectives,providingabbreviated namesandthereferencenumbersforkeytexts,withtheirreferencesprovidedin SupplementaryMaterial6.
Themodelswerecharacterizedacrosssevendimensions relatedtothetypesofdevice,model,lifecycle,evaluation,and data;dateoffirstappearance;andQAscores,whicharesummarizedin Table2,whilst Table3 summarizesandcomparestheirkey features,includingpurpose,primaryintendedaudience,lifecycle characterization,outputs,timing,andscope(Supplementary Material10).
WhatisMeantby “MedicalDeviceLifecycle”?
Inthissection,wedescribethedifferent forms, scopes,and typesof process usedtorepresentthelifecycleofamedicaldevice.The mostcommonlifecycle form usedisalinearseriesofstages (thoughiterationmayoccur)movingfromtheidea,throughits development,growth,maturity,decline,toend-of-life(orasubset ofthese).Asecondformisacycleofinnovation,witheachoriginal inventionbeingincrementallyrefined,whichmeansthat,for thesemodels,thelifecycleencompassesseveralgenerationsofa device.Athirdformisapatterndescribinghowasinglelifecycle phasechangesovertime(e.g.,salesoradoption),therefore,these modelsfocusonhowtheparameterisaffectedratherthanthe effectstheproducthasonpatients/end-users.Inasense,theseare notactuallydevicelifecycles,buttheyare,nevertheless,oftenwhat ismeantbyadevice ’slifecycle.Anothersetofmodelsdescribethe lifecycleasmovementthroughvariouslevelsinasystem,andare, therefore,multi-levelevaluatio ns.Forexample,whereanovelidea isdevelopedintoatechnology,whichbecomesacomponentina device,thatisitselfincorporatedintoasystem(e.g.,software developedforaswitch,usedinamobilearm,whichbecomesa componentinaroboticassistant).
Tocomparemodels’ scope, weutilizedtheHealthCareTechnologyLifecycle(HCTLC)model(thegreenpartin Figure1)from theWorldHealthOrganization(WHO)(SR-20).Itillustratesthe phasesofthemedicaldevicelifecycleintermsoftheactivities/ processesrequiredacrossitslifespan.Thisincludes17specific stagesofactivitygroupedintothreephases – Provision,Acquisition,andUtilization.Regulationmaybeconsideredasaseparate process,butinthismodelitisconsideredtobeanintegralpart, whereregulatorycomplianceisnecessaryforthedevicetotransitiontothenextstage.Thefocusofinterestduringtheprovision stageisprimarilyonthenewproductdevelopmentprocess,whilst theacquisitionphasefocusesprimarilyonadoptionorsales (i.e.,diffusion).Duringutilization,themainfocusofthemodels isonevaluatingoutcomes.However,whilstcertainmodelscoverall ofthesephasesandstages,generally,mostcoveronlysome.Infact, Table3 showsthatthescopeofthelifecyclemodelsvariedconsiderablyacrossperspectives.Forexample,theT&Imodelscoveronly theprovisionstages,andapproximatelyhalfofthePolicymodels donotincludetheutilizationstage,whichmeansthattheseevaluationmodelsdonotexamine(toanygreatextent)whathappens afteradeviceentersthehealthcaresystem.
Tocomparethe typesofprocess embodiedinthemodels,we utilizedVandeVen’sprocessdefinitions –“(i)alogicusedtoexplain acausalrelationshipinavariancetheory,(ii)acategoryofconcepts thatrefertoactionsofindividualsororganizations,and(iii)a sequenceofeventsthatdescribehowthingschangeovertime” (32, p.169).Wefoundthatfrequentlythemodelsencompassedboththe secondandthirdofthesedefinitions.Nevertheless,approximately halfofthemodelspredominantlyusedaprocessdefinitionthat referredtoactors’ actions,aquarterreferredtoasequenceofevents, whilstfiveusedboth.Themajorityofthesewerestagemodels,thatis theydescribedthelifecycleasdistinctstagesratherthanasacontinuousdistributionofaparticularvariable.Thiscontrastswiththe sevenapplyingthefirstdefinition,exploringcausalrelationships,all ofwhichcharacterizedthelifecyclequantitatively,andnoneofwhich focusedonevaluatingpatient/end-useroutcomes.
WhatisMeantby “LifecycleEvaluation”?
Asshownin Tables2 and 3,lifecycleevaluationdiffersintermsof what getsevaluated, when, how,and why. Mostcommonly, what is
InternationalJournalofTechnologyAssessmentinHealthCare 3
Table1. Listofmodelsincludedinthesynthesis
Modelname
NewProductDevelopment
Lifeofaninnovation
Abbreviatedname, Author(s)ofReferencetext,PublicationYear (SupplementalReference-number)SymbolforBroadPerspectiveassignedto
Baldock-NPD, Baldock,1960 (SR-1)™
DOI, Rogers,1962 (SR-2)Π
BassModel Bass, Bass,1969 (SR-3)™
ProductLifeCycle
7stagesinthecareerofamedicalinnovation
Lifehistoryandroutinizationofaninnovation
NewProductProcess
BusinessLifecycle(High-technologyventures)
IndustryLifeCycle
NewProductDevelopmentProcess
Adiffusiontheorymodelofadoptionandsubstitutionforsuccessivegenerationsof high-technologyproducts
Stage-gatesystem(fornewproductdevelopment)
TechnologyAdoptionLifeCycle(High-TechMarketingModel)
GeneralizedBassModel
TechnologyReadinessLevels
MedicalDeviceDesignandDevelopmentprocess
VATechnologyTransferProcess
Aframeworkofiterativeeconomicevaluation
RE-AIMFramework
HealthCareTechnologyLifeCycle
Majorphasesinthelifespanofamedicaldevice
Asystems-baseduser-centeredapproachtohealthcaredesign
ConceptualModelforConsideringtheDeterminantsofDiffusion,Dissemination,and ImplementationofInnovationsinHealthServiceDeliveryandOrganizations
TotalProductLifecycle(TPLC)
TechnologyadoptionlifecycleConceptualattractor&HFramework
EquipmentLifeCycle
Technologyriskandreadinessassessmentframework
IDEALFramework
IndustrialEmergenceFramework
Medicaldevicedesignanddevelopmentstage-gateprocess
TheInnovationLifeCycle
LifecycleofTechnology
EAESguidelineonmethodologyofinnovationmanagementinendoscopicsurgery
PLC, Levitt,1965 (SR-4)™
7Sm-IC, McKinlay,1981 (SR-5)Π
IRP, Yin,1981 (SR-6)Π
BAH-NPD, Booz,Allen&Hamilton,1982 (SR-7)™
BLC, Galbraith,1982 (SR-8)™
ILC, Gort&Klepper,1982 (SR-9)™
CK-NPD, Cooper&Kleinschmidt,1986 (SR-10)™
Norton-Bass, Norton&Bass,1987 (SR-11)™
SG-CK-NPD, Cooper,1990 (SR-12)™
TALC, Moore,2001 (SR-13)™
G-Bass-M, Bass,Krishnan,&Jain,1994 (SR-14)™
TRL, Mankins,1995 (SR-15)Π
MDDP, FDA,1997 (SR-16)®
VA-NPD, Sheredos&Cupo,1997 (SR-17)Ψ
4S-IEE, Sculpher,Buxton,&Drummond,1997 (SR-18)Π
RE-AIM, Glasgow,Vogt,&Boles,1999 (SR-19)Π
HCTLC, Cheng,2003 (SR-20)®
MDLS, Cheng,2003 (SR-20)®
SUHCD, Clarksonetal.,2004 (SR-21)Ψ
DDDII, Greenhalghetal.,2004 (SR-22)Π
TPLC, FeigalJr.fortheInstituteofMedicine,2010 (SR-23)®
TALC-CAHF, Meade&Rabelo,2004 (SR-24)™
ELC, Worm(THET),2015 (SR-25)Ψ
IRM-TRL, Mankins,2009 (SR-26)Π
IDEAL, McCullochetal.,2009 (SR-27)Ψ
IEF, Phaaletal.,2009 (SR-28)™
SG-MDDP, Pietzschetal.,2009 (SR-29)™
IC+, Croslin,2010 (SR-30)™
TLC, Myttonetal.,2010 (SR-31)Π
EIM-2DA, Neugebauer&Beckeretal.,2010 (SR-32)Ψ
NewProductDevelopmentFramework Bhuiyan-NPD, Bhuiyan,2011 (SR-33)™
ConceptualFrameworkoftheUniversitySpin-offVenturingProcess
Medicaldevicelife-cycle
HealthProductVigilanceFramework
TheInnovationCycle(CIRAS)
TheInnovationCycle(WW)
TheintegrationofriskmanagementprocesswiththelifecycleofMDsoftware
Treatment “lifecycle” framework
ProductInnovationLifeCycle
USVP, Rasmussen,2011 (SR-34)™
MDLC, Velazquez-Berumen,2011 (SR-35)Π
HCanada-MDRegLC, HealthCanada,2013 (SR-36)®
IC, CIRAS,2013 (SR-37)™
WW-IC, Wright&Weinstein,2013 (SR-38)Ψ
IRM-SaMDDP, Pecoraro&Luzi,2017 (SR-39)™
RxLCF, Provoostetal.,2014 (SR-40)Ψ
PILC, Baeyens,2016 (SR-41)Π
(Continued) 4 Harkin etal.
Table1. (Continued)
Modelname
IDEAL-DFramework
Abbreviatedname, Author(s)ofReferencetext,PublicationYear (SupplementalReference-number)SymbolforBroadPerspectiveassignedto
IDEAL-D, Pennelletal.,2016 (SR-42)Ψ
Nonadoption,abandonment,scale-up,spread,andsustainability(NASSS)Framework NASSS, Greenhalghetal.,2017 (SR-43)Π
HealthTechnologyLifeCycle
Optimalmethodologyfortheintroductionofneworthopedicimplants
NASASpaceflightProjectLifeCycle
HTLC, Gutiérrez-Ibarluzea,Chiumente&Dauben,2017 (SR-44)Π
OIM-DA, Hannanetal.,2017 (SR-45)Ψ
PrLC, NASA,2014 (SR-46)Π
NewHealthTechnologies – Lifecycleforintegrationintohealthcaresystems nHTLC4I, Parisetal.,2017 (SR-47)Π
Lifecycleofmedicaldevices – Lifecycleapproachtoregulationandtheimportanceof reportingincidentstotheTGA
EUnetHTA’slifecycleapproach
TheDeviceDevelopmentProcess
Lifecycleofamedicaldevice
TGA-MDRegLC, Reeves&Garcia,2014 (SR-48)®
EUnetHTA-MDLC, Meyer,Brühl&Omstad,2018 (SR-49)Π
FDA-MDRegLC, FDA,2018 (SR-50)®
Swissmedic-MDRegLC, Swissmedic,2019 (SR-51)®
Similarabbreviationsindicateasimilarnameorfocus:DA,decisionalgorithm;DOI,diffusionofinnovations;EAES,EuropeanAssociationforEndoscopicSurgery;EIM,endoscopicinnovation management;EUnetHTA,EuropeannetworkforHealthTechnologyAssessment;FDA,FoodandDrugAdministration;HCanada,HealthCanada;IC,innovationcycle;IDEAL,idea,development, exploration,assessment,andlong-termstudy;4S-IEE,4-stageiterativeeconomicevaluation;IRM,integratedriskmanagement;IRP,innovationroutinizationprocess;MD,medicaldevice;MDDP, medicaldevicedevelopmentprocess;MDRegLC,medicaldeviceregulatorylifecycle;NASA,NationalAeronauticsandSpaceAdministration;nHTLC4I,newhealthtechnologylifecyclefor innovation;NPD,newproductdevelopment;OIM,orthopedicinnovationmanagement;PLC,productlifecycle;RE-AIM,reach,efficacy,adoption,implementation,maintenance;SaMDDP, softwareasamedicaldevicedevelopmentprocess;SG,stage-gate;TALC,technologyadoptionlifecycle;TGA,TherapeuticGoodsAdministration;TLC,Technologylifecycle;USVP,UniversitySpinoffVenturingProcess;VA,VeteranAdministration.
Symbolskey: ™,TradeandIndustry; Π,Policymaking; Ψ,Healthcare; ®,Regulation.
Table2. Summaryofmodelandstudy(referencetext)characteristics
Combinesbothasequenceofeventsthatdescribehowthingschangeovertimeandacategory ofconceptsthatrefertoactionsofindividualsororganizations
Summaryofmodelcharacteristics Devicetype HCPolicyRegT&ITotal Industry 22 Business 22 Product 77 Technology 325 Healthtechnology 1517 Medicaldevice 417214 Innovation 47415 Lifecycletype HCPolicyRegT&ITotal
Alogicusedtoexplainacausalrelationshipinavariancetheory347 Acategoryofconceptsthatrefertoactionsofindividualsororganizations758727 Asequenceofeventsthatdescribehowthingschangeovertime16613
1225 Evaluationtype HCPolicyRegT&ITotal Descriptive 184215 Exploratoryand/orExplanatory 336 Predictive 145 Prescriptive 8441026 Modeltype HCPolicyRegT&ITotal Framework 457622 Model 5811327 Theory 33 (Continued) InternationalJournalofTechnologyAssessmentinHealthCare 5
Table2. (Continued)
Datatype HCPolicyRegT&ITotal Qualitative 81081036 Quantitative 3710 Mixed 1326 Firstappearanceofmodel HCPolicyRegT&ITotal 1930–1939 11 1960–1969 123 1970–1979 11 1980–1989 156 1990–1999 13239 2000–2009 322411 2010–2019 584421 QAscore HCPolicyRegT&ITotal 0 497424 1 341614 2 21912 3 22 Grandtotal 91681952 Summaryofreferencestudycharacteristics Publicationperiod HCPolicyRegT&ITotal 1960–1969 134 1980–1989 257 1990–1999 13127 2000–2009 222410 2010–2019 685524 Geographicalregion HCPolicyRegT&ITotal Americas 2841529 Australia 112 Europe 351312 International 33219 Publicationtype HCPolicyRegT&ITotal Journalarticle 891229 Academicpublication 11 Conference/Presentation 2125 Regulatoryguidance 22 WHOGuidance 123 Book 3137 Magazine 11 Onlineresource 112 Website 112 (Continued) 6 Harkin etal.
Table2. (Continued)
Funding/supportorConflicts(COI)declaredHCPolicyRegT&ITotal Funding/supportdeclared 594624 Personalinterestsstated 22 Writingsupportacknowledged 11 Disclaimer 11 DeclarednoCOI 213 Nonedeclared 2531020 Uncertain 11 Total 91681952 COI,conflictofinterest;HC,healthcare;NPD,newproductdevelopment;Policy,policymaking;QA,qualityappraisal;Reg,regulation;T&I,trade andindustry;WHO,WorldHealthOrganization.
Summaryoffindings Purpose HCPolicyRegT&ITotal Describethelifecycle 347 ExploreInfluencingorimpactedfactors 336 Identifylifecyclestage 213 Determinereadinesstoprogress1225 Defineactionsoractivities 688931 Audience HCPolicyRegT&ITotal TradeandIndustry 431926 Policymakers 112215 Regulators 11 Healthcare 72110 Generalpublic 44 Totalsforaudience 918101956 Characterizedintermsof HCPolicyRegT&ITotal Development(pattern) 22 Development(stages) 8781033 Adoption(pattern) 99 Sales(pattern) 77 Healthtechnologymanagementactivities11 Outputs(Detailing ) HCPolicyRegT&ITotal Whathappens 1214 Influencingfactors 3811 “Howto” 12912 Process/outcomesevaluationmethodsoractivities77216 Regulation 279 Timing HCPolicyRegT&ITotal Lifecycleevaluationatasinglepointintime21710 Separateevaluationofdifferentphasesatasingletimepoint15612 Repeatedevaluationateachlifecyclestage897630 (Continued) InternationalJournalofTechnologyAssessmentinHealthCare 7
Table3. Summaryoffindingstable
(Continued)
Figure1. ModelarchetypesassociatedwiththeHealthcareTechnologyLifeCycle(adaptedfromWHO,SR-20).
Table3.
Scope – Lifecycle HCPolicyRegT&ITotal Provision 11920 Acquisition 123 Utilization 11 ProvisionandAcquisition 44 ProvisionandUtilization 66 AcquisitionandUtilization 235 ProvisionandAcquisitionandUtilization66113 Scope – Devices HCPolicyRegT&ITotal New 8141739 Established 112 All 28111 Modelarchetypes HCPolicyRegT&ITotal NPD 11011 Diffusion 17917 Outcomesevaluation 6511 Hybrid 24713 Total 91681952 HC,healthcare;NPD,newproductdevelopment;Policy,policymaking;Reg,regulation;T&I,tradeandIndustry. 8 Harkin etal.
evaluatedarethefactorsthatareusedtocharacterizethelifecycle, indicatorsoflifecycleprogression,factorsinfluencingthelifecycle trajectoryorthatareaffectedbyit,and/ortheoutcomesfrom deployingatechnology.However,relativelyfewofthemodels, andnoneofthosefromtheT&Iperspective,focusprimarilyon evaluatingpatient/end-useroutcomes.
Anevaluationmaybeaonce-offeventencompassingtheentire lifecycleinasingleevaluation(e.g.,usingempiricaldatatodescribe thesales/adoptionpatternovertimeorbyevaluatingdifferent lifecyclestagesatasinglepointintime,eitherretrospectivelyusing existingdataorprospectivelyusingmodelingtechniques)oritmay bealifecycleevaluationbyvirtueofthefactthattheevaluationis repeatedatseveraltimepointsacrossthelifeofatechnology.Itis thislattertypethatisgenerallyconsideredtobea “lifecycle approach” bytheHTAcommunity(33).However,22ofthemodels includedinthissynthesisdidnottakethisapproach.
How thelifecycleisevaluateddependsontheparticularpurpose ofagivenmodel.Itmaybeperformedusingquantitative,qualitative,ormixedtypesofdata,toconductadescriptive,explanatory, predictive,orprescriptiveevaluation. Table3 showsthatthemost frequentpurposeofevaluationistodefineparticularactionsor activitiesthatneedtobeundertakenatthedifferentlifecyclestages, only15ofwhichdescribeapproachestoevaluatingend-useror patientoutcomes.
Themainreasonforadoptingalifecycleevaluationapproachis toaddressaneedforinformation.Themodelsareusedfor gathering,generating,orconveyinginformation/evidence requiredformakingthebestdecisionstoachievetheoverarching goal.Thepurposeslistedin Table3 aresimplyintermediate purposes,whilsttheoverarchinggoal(andthecorresponding decision)variesacrossperspectives.TheprimarygoalforHCis toprovidesafe,effective,andefficienthealthcare,therefore,its decisionsrelatetotheadoptionofcl inicallyeffectivetechnologies. WhilstforT&Ithegoalistoachievecommercialsuccessand generateprofit.Todothisitmustdecideontheappropriate resourcestoinvestandthetimingofinvestment,usuallyinnew productdevelopmentand/ormarketing.Policymakersoftenhave dualpolicygoals – topromotetradeandindustryandtoensure theprovisionofhigh-qualityandcost-effectivehealthcare.Thus, theirdecisionsdependonthepolicygoal,butgenerallyrelateto marketregulationorresourceall ocation.Sometimes,however, thesegoalsareconflicting,becauseeasingaccesstohealthcare marketsfortradeandindustryusuallymeansreducingthequality andquantityofevidencerequiredformarketaccess,which reducestheevidenceavailableforevaluatinghealthtechnologies fortheircost-effectiveness. “ Tensioncanarisebetweenthese objectives.Expediencymustbebalancedagainstadequaterigor, affordabilitywithaccess.Aligningregulatoryobjectiveswith broadereconomicandindustrialpolicy(e.g.,topromoteinnovation,employment,growth,ex portandtrade)mayresultin tensionwithgoalsofmanagingcosts.Inaddition,eachobjective willbeprioritiseddifferentlybystakeholdergroups,addinga politicaldimensiontotheprocess. ” (SR-47,p.118).
Theexplicitgoalforthosefromtheregulatoryperspectiveis not,asisfrequentlyassumed,toensurethatmedicaldevices enteringthemarketaresafeandeffective(SR-35),butratherthat theregulatoryrequirementsoftheirparticularjurisdictionare met. “Pre-marketcontrolisperformedonthedevicetoensurethat the product tobeplacedon-marketcomplieswithregulatory requirements. ” (SR-20,p.20,boldinoriginal)Therefore,the safetyandeffectivenessofmedicaldevicesatmarketentryis dependentonthespecificlegalrequirementsinagiven
jurisdiction.Regulatorymodelsdiffer,butforthemostpart regulatorsendorsetheguidelinesoftheGlobalHarmonization TaskForceandfollowtheapproachesillustratedin Figure2 suggestedbytheWHO(SR-20).
Medicaldeviceregulatorsareresponsiblefordecidingwhether ahealthtechnologymaybelegallymarketedintheirjurisdiction. Insomejurisdictions,this sometimes involvesamarketauthorizationprocess,wheretheproductscanonlybeplacedonthe marketifauthorizedtodosobytheregulators(e.g.,intheUSand Canada)usuallyonthebasisofev idenceofsafetyandeffectivenessgleanedfromtheliteratureorclinicalinvestigations. “… the premarketnotification,or510(k),processisaclassificationprocess,whereasPMA[Pre-marketApproval]isadeterminationof safetyandeffectivenessthatleadstoapproval. Forthe510 (k)process,devicesare cleared formarketing,notapproved,and devicesmaynotbemarketedas ‘approvedbyFDA ’” (SR-23,p.12, emphasisinoriginal).Inotherjurisdictions(e.g.,Australia, EuropeanUnion(EU),Switzerland)marketauthorizationisnot required,insteadmanufacturersofhigh-riskdevicesmustapply foranassessmentoftheirconformitywiththelegalrequirements byanexternalbody,aconformityassessmentbody(CAS) (SR-51).IftheCASdeemsthemt obecompliantitauthorizes themtoaffixamarking(e.g.,theCEmarkingintheEU)ontheir device,alegalrequirementformarketingthedevicethatindicates itislegallycompliant.Thisisnotthesameasmarketauthorization, “ Unlikemedicinalproducts,medicaldevicesdonotundergo anofficialauthorisationprocedu re.Forthesedevices,Switzerland followswhatisspecifiedfortheEuropeanUnion(EU)systemof complianceassessmentandcertification,basedonbilateralagreements.Compliancewithinternationallyvalidnormsisevaluated byprivateentities ” (SR-51).
Allregulatorymodelsincludearequirementforanevaluationof clinicaldataforallbutthelowest-riskdevices,butnotnecessarily onthesamedevice,normusttheclinicaldataincludearandomized controlledtrial(RCT). “Whatconsumerprotectionsarerequiredto bringnewproductstomarket? FDAisrequiredtoprovidethe leastburdensomepathtomarket Thismeansthatthetrials shouldbeparsimoniousinsize,focusedinobjectives,andnot cumbersomeinexecution.Ifthequestionscanbeansweredina post-marketingperiodthentheyshouldnotberequiredbefore marketing” (9,slides5,14).Consequently,thisregulatorylifecycle approachmeansthatevidencegenerationisfrequentlydeferred untilthepost-marketphase(34).
Discussion
Thelackofevidenceavailableatmarketentryisdrivingthepushto adoptalifecycleapproachtoevaluationforhealthcarereimbursementdecisions(SR-49).However,thedifferencesnotedin Tables2 and 3 illustratethat,despiteusingthesamewords,peopleoften meanverydifferentthingsandhavedifferentreasonsforusinga lifecycleevaluationapproach.Nevertheless,theconcepts,as embodiedinthemodelarchetypes,havechangedlittleovertime. Whathaschanged,asevidencedbytherelativelyrecentemergence ofthehealthcaremodels,istheincreasingpressureforearlieraccess tonovelhealthtechnologies,resultinginincreasedpressureon healthcareprovidersandregulators.
However,thelackofevidenceavailableatmarketentry/reimbursementisrelatedtotheregulators’ adoptionofalifecycle approach. “Theconceptoflifecycleregulation alsoreferstoan approachtoregulationthatfactorstheprospectofevidence
InternationalJournalofTechnologyAssessmentinHealthCare 9
Figure2. Regulationacrossthemedicaldevicelifecycle(adaptedfromWHO,SR-20).
Stage
10 Harkin etal.
generationpostapprovalintopreapprovaldecisionmaking” (34, p.824).Therefore,adoptingalifecycleapproachhasmeantthatthe regulatorshaveacceptedlimitedandpoor-qualityevidence,allowingdevicestoenterthemarketbasedontheexpectationthatmore evidencewillbecomeavailableoncethedeviceisinuse(34). However,thisisfrequentlynotthecase(35–37).
Oncedevicesareplacedonthemarketregulatorsrelyonpostmarketstudiestoaddressuncertaintyregardingeffectivenessand vigilance/surveillanceactivitiestodetectadverseoutcomes.Yet, Rathietal.haveshownthatmanypost-marketstudiesareslow tobecompletedornotconductedatall(38).Whilstpost-market surveillanceisdesignedtodetectonlythemostsevereadverse outcomes,whicharejustafractionofadverseoutcomesthatmatter topatients(3;39).
Furthermore,cliniciansandpatientsarenotreadilymade awareofevidenceregardingadevice ’spoorsafetyrecord,as demonstratedbyPeters,Pelle rin,andJanney,whosestudy showedthatrecallsofClassIIIdevicesintheUStookmorethan 8monthstocomplete( 40).Severalauthorshavealsodemonstratedthatalthoughadeviceha sbeenrecalleditmaystillbeused asapredicate(i.e.,asubstantiallyequivalent,legallymarketed) devicetosupportthemarketauthorizationofmanysubsequent devicesthroughequivalenceclaims(38 ;41 –44 ).Furthermore, becausethisevidenceeitherneverbecomesavailable,oronly becomesavailableyearslater,m anypeoplemaybeaffectedbefore itbecomesclearthatitisclinicallyinferiortoalternativeinterventions(13–15 ;45).
Therefore,ifHTAistofollowtheexampleoftheregulators’ lifecycleapproach,itwouldmeanacceptinglimitedandinadequate evidenceofsafetyandefficacyforreimbursementdecisionswith thepromisethattherequiredevidencewouldlaterbecomeavailable.However,thisassumesthatthedeviceislikelytobebeneficial, unlikelytocauseharm,andevidencewillbemadeavailable(ina timelymanner).Unfortunately,ifmanufacturershavealready securedpublicfundingfortheirdevices,thenthereisverylittle incentiveforthemtogenerateadditionalevidence,whichiscostly andmightshowthattheirdeviceislesssafeoreffectivethan alternatives,resultinginitsmarketfailure.However,withoutevidencetheassumptionthatadeviceissafeandeffectivecannotbe challengedorconfirmed.
Industrymayarguethathigh-qualityevidenceisdifficultto developduetoinherentdifficultiesinconductingRCTsformedical devices(46),andthatthecostsaretoogreataburdenforthesmallto-mediumenterprises(SMEs)thatapparentlypredominateinthe industry(47).However,whyshouldpatientsbeartheburdenof havingunprovendevicesusedonthemsothatSMEscanbespared thecostofproperlyevaluatingthem?
Instead,governmentscouldcreatehealthcareinfrastructures tosupportrigorousevidencegenerationinasefficientamanner aspossible.Thereareschemesfor “ coveragewithevidence development” ,however,fewdevicesareinvestigatedinthisway. Therefore,amoresystematicappr oachisneededthatenrollsall patientsandallinterventionsintoanongoingandadaptiveclinicaltrialcomparingclinicaloutcomesforalltreatments.This requiresrobustdatacollectionandevaluationsystemswithin healthcare,withsecureindividualpatientanddeviceidentifiers, datalinkage,andstrongmechanismsofdataprotection.Sucha systemwillrequiremulti-stakeholderengagementandhuge investmenttodevelop,andislikelytobecomplextooperationalize.Nevertheless,itspotentialforimprovingclinicaloutcomes andpatientsafetyisimmense.Additionally,itwouldprovidea meansforindustrytodevelopar obustevidencebasetosupport
applicationsforreimbursementandimprovepayers’ abilityto fundthemostcost-effectivei nnovations.Therefore,future researchshouldinvestigatehowbesttodothis.
Limitations
Thisisnotanaggregativesystematicreview,somodelsexistthathave notbeenincluded.Nevertheless,byincludingalargesamplefroma broadvarietyofsourcesandperspectivesthisreviewprovidesa reasonablepictureofthegeneralformandcontentoflifecyclemodels beingused.Duetothebroadinclusioncriteriamanyoftheincluded modelsarenotintendedspecificallyformedicaldevices,however, thisheterogeneityfacilitatedarichexplorationofeachdiscipline’ s perspectivesandmotivations.Additionally,themethodsweused, particularlytheQAcriteria,arenotvalidated,therefore,future methodologicalresearchshouldestablishbestpracticesforconductingreviewsofmulti-disciplinaryconceptualmodels.
Conclusions
Themedicaldevicelifecycleandlifecycleevaluationhavedifferent meanings,anddifferentpurposesfordifferentstakeholders.The lifecycleapproachadoptedbyregulatorshasresultedinthedeferral ofevidencegenerationtothepost-marketperiod,resultinginalack ofevidenceforreimbursementandclinicaldecisions.Therefore, researchisneededtoevaluatepatientoutcomesarisingfromearly accesstomedicaldevicesbasedonthepromiseoffutureevidence comparedwithevidence-basedinterventions.Furthermore,the HTAcommunitycouldbecomeinvolvedinsettinguprigorous systemswithinhealthcaretosystematicallycollectandanalyzedata onpatientoutcomesfromthehighest-riskdevices(SR-44).Meanwhile,HTAbodiesshouldnotallowlifecycleevaluationtobeused asanexcuseforacceptinginadequateevidenceandshouldinsiston appropriateevidencebeingmadeavailableforreimbursement decisions,asthismaybethelastdefensesomepatientshaveagainst sub-optimaldevices(1).
Supplementarymaterial. Thesupplementarymaterialforthisarticlecanbe foundat https://doi.org/10.1017/S026646232300274X
Dataavailabilitystatement. AccesstotheExceldatabasewillbemade availableonreasonablerequestfollowingcompletionofthePhD.
Fundingstatement. ThisworkwassupportedbytheIrishHealthResearch BoardthroughitsSPHeREProgramme(SPHeRE-2013-1).
Competinginterest. Theauthorsdeclarenone.
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