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OPTIONSOptimizingPreventionTechnologyIntroductionOnSchedulePrEPModelingGapAnalysis
JULY2016
OPTIONSisoneoffivecooperativeagreementsawardedbyUSAIDwithPEPFARfundingthroughRoundThreeoftheAnnualProgramStatement(APS)forMicrobicideResearch,Development,andIntroduction.ThefivecooperativeagreementsarealsoknowncollectivelyastheMicrobicideProductIntroductionInitiative(MPii).Thesefive-yearawardscontinueandexpandUSAID'ssupport,inpartnershipwithPEPFAR,formicrobicideintroductionandaccesswithadvancesinbiomedicaltechnologiesandnewapproachesforHIVprevention.
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ProvidetargetedsupporttohelpexpediteandsustainaccesstonewARV-basedHIVpreventionproductsincountriesandamongpopulationswheremostneeded.
KENYA
SOUTHAFRICA
ZIMBABWE
WhereWeWork
ConsortiumPartners
Objective
OptimizingPreventionTechnologyInnovationonSchedule
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Howwework• Oursupportisflexibleandisdesignedtoberesponsivetoglobal
regionalandnationalcountryprioritiesandplans
• Wehavestrongin-countrypartners,e.g.WitsRHI,PangaeaandLVCTHealth,withsignificantexperienceworkingonHIVpreventionintheSouthAfrica,Zimbabwe,andKenyacontexts
• Inadditiontolocalpartners,ourconsortiumisabletobringmulti-disciplinaryexpertisetotheefforttointroducefemale-controlledHIVpreventionproductsinsub-SaharanAfrica
• Wearetakingsignificantstepstoensurewedonotreplicateexistingorongoingwork– ourmissionistofillgapsandhelpanswerkeyquestionsasoutlinedbyglobalstakeholders,nationalgovernments,USAIDmissions,andotherkeylocalstakeholders
• OPTIONSisnotaservicedeliveryproject;weapplysystemsthinkingtosupportandaccelerateproductintroduction
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GapAnalysisMethodology• Literaturereview
• Phone/emailinterviewswiththemajorityofmodelinggroupsworkingintheHIVfieldtodeterminecurrentmodelingactivities
• Analysisincludesrecentlycompleted,ongoing,planned,orproposedPrEPmodeling
• CountryfocusisKenya,SouthAfrica,andZimbabwe
• Studiesorganizedbyresearchquestion,sub-population,andcountry
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ModelingLiteratureReviewMethodologyAim:ToidentifythescopeofthecompletedPrEPandmicrobicidemodelingaspartofanassessmenttoidentifycurrentmodelingneeds.Thisliteraturereviewdidnotattempttoassessthequalityoftheworkbutrathertoidentifytheworkandobtainabroadoverviewofthefindings.
• OPTIONScollectedatotalof64modelingstudies,reviewsandanalysesfocusedontheimpact,cost,cost-effectiveness,drugresistanceandotherparametersofbothPrEPandmicrobicides.Studypublicationdatesrangefrom2003to2016.Studytypesincludedmodelingonpublichealthimpactandcost- effectivenessaswellasreviewsofexistingmodelingwork.
• Ofthesestudies,46lookedatPrEP,16atmicrobicidesandoneatbothPrEPandmicrobicides.Ofthese,eightstudiesaremeta-analysesorreviewsfocusedonPrEPandlookatimpact,cost- effectivenessanddrugresistance.
• Theliteraturereviewwasconductedthroughpeerreviewedjournalandabstractsearchesusingkeyterms,thesnowballmethod,andminingofstudycollectionsfrominternalpartners.
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ModelingLiteratureReviewOverviewStudiesandreviewslookedatthefollowingparameters:Measures/includes Total PrEP Microbicide BothImpact 37 25 11 1Cost/cost-effectiveness 27 23 3 1Drugresistance 15 14 1 0
Studiesandreviewsspecificallyidentifiedthefollowingpopulations:Population Total PrEP Microbicide BothHeterosexualserodiscordantcouples
3 3 0 0
Femalesexworkers(FSW) 8 5 3 0Youngwomen 4 3 1Menwhohavesexwithmen(MSM)
15 12 3 0
YoungMSM 2 2 0 0
Studiesandreviewsfocusedonthefollowinggeographicareas:Region Total PrEP Microbicide BothEast,SouthandSouth-EastAsia 6 2 4 0NorthAmerica 8 7 1 0SouthAmericaandCaribbean 3 2 1 0Sub-SaharanAfrica 37 29 7 1EasternEuropeandCentralAsia 2 1 1 0
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ModelingLiteratureReviewOverview• PrEPhasbeenextensivelymodelled
• MajorityofstudiesfocusonSouthAfrica,withfewerfocusingonKenya,andasmallnumberfocusingonZimbabwe
• Healthimpactandcost-effectivenesstwomostcommonresearchquestionsaddressed
• Femalesexworkers(FSW),adolescentgirlsandyoungwomen(AGYW)andunspecifiedpopulationsmostcommonpopulationsstudied
• Moststudieslookingatcost/cost-effectivenessconcludedwhilePrEPcanconfersignificantbenefititrequiressubstantialexpenditure
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ModelingLiteratureReviewSummary• Mostmodelingstudieslookingatcostandcost-effectivenessconcluded
thatwhilePrEPcanconfersignificantbenefit,itrequiressubstantialexpenditure
• Severalstudiesfoundthatmaximalcost-effectivenessisachievedbyprovidingtreatmenttoagreaternumberofinfectedindividualsearlierratherthanprovidingPrEPtouninfectedindividuals.
• SomemodelingpredictedthatforPrEPtobemostcost-effectiveitshouldbeusedbeforetreatmentreachesasaturationlevelwhilenotingthatearlytreatmentalonecannotreduceHIVincidenceenough(Cremin,2013;Pretorius,2010;Supervie,2011)
1. Cremin,I.,etal.,Thenewroleofantiretrovirals incombinationHIVprevention:amathematicalmodellinganalysis. AIDS,2013.27(3):p.447-58.2. Pretorius,C.,etal.,Evaluatingthecost-effectivenessofpre-exposureprophylaxis(PrEP)anditsimpactonHIV-1transmissioninSouthAfrica.
PLoS One,2010.5(11):p.e13646.3. Supervie,V.,etal.,Modelingdynamicinteractionsbetweenpre-exposureprophylaxisinterventions&treatmentprograms:predictingHIV
transmission&resistance. Sci Rep,2011.1:p.185.
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ModelingQuestions• WhatisthetotalestimateddemandforPrEPwithineachkeypopulation(e.g.,AGYW,
MSM,FSW)?
• Whatistheprojectedhealthimpact(e.g.,HIVincidenceandprevalencereductions)ofaddingPrEPtothemixofcurrentHIVpreventionandtreatmentinterventions? IsitpossiblefornationalHIVprevalenceandincidencereductiontargetstobereachedwithoutinvestinginPrEP?
• WhatistheincrementalunitcostofdeliveringPrEPthroughexistingornewchannelstoreachkeypopulations?
• Whatistheprojectedincrementalcost-effectivenessratio(ICER)ofaddingPrEPforaspecifiedpopulationtothemixofcurrentHIVpreventionandtreatmentinterventions? IsPrEPforagivenpopulationcost-effectiverelativetointernationalstandards?
• Whatarethepotentialcostsavings ofdeliveringPrEPintermsoflowerARTcosts?
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Gapsinmodelingdata:Demand
Question Population
published(L),conducted(C),ongoing(O),planned(P),orproposed(M)work;numbersrefertorownumberofrelevantworksheet
Kenya SouthAfrica Zimbabwe othersub-SaharanAfrica
WhatisthetotalestimateddemandforPrEPwithineachkeypopulation(e.g.,AGYW,MSM,FSW)?
AGYWO12(uptakepredictionsfromDCE)
FSWO12(uptakepredictionsfromDCE)
Sero-discordantcouplesMSMIDU
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Question Population
published(L),conducted(C),ongoing(O),planned(P),orproposed(M)work;numbersrefertorownumberofrelevantworksheet
Kenya SouthAfrica Zimbabwe othersub-SaharanAfrica
Whatistheprojectedhealthimpact(e.g.,HIVincidenceandprevalencereductions)ofaddingPrEPtothemixofcurrentHIVpreventionandtreatmentinterventions? IsitpossiblefornationalHIVprevalenceandincidencereductiontargets tobereachedwithoutinvestinginPrEP?
AGYW M3,M5O12,C13,O14,O15,M19,O21,L44
O21,O24,L51
FSW C2,M3,M5,L18,L53
O11,O12,C13,O14,M19 O22
sero-discordantcouples
O3 L11,L39 O3(Uganda)
MSM M3,C2 P14,O16,M14IDU
unspecifiedP8,L16(PrEPwithincomboprevention),L53
P8,P8(cabotegravir),P20,L13,L15,L22,L23,L25,L29,L31,L33(women),L35,L44
P20,P23,O24
O27,O28,L17(global),L27(Zambia),L30(SSA),L31(Zambia),L38(Botswana),L57(SSA)
Gapsinmodelingdata:Impact
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Question Population
published(L),conducted(C),ongoing(O),planned(P),orproposed(M)work;numbersrefertorownumberofrelevantworksheet
Kenya SouthAfrica Zimbabwe othersub-SaharanAfrica
WhatistheincrementalunitcostofdeliveringPrEPthroughexistingornewchannelstoreachkeypopulations?
AGYW C6,O7 BMGFFSW L20,L21,C6,O7 O9 O22sero-discordantcouplesMSM C6,O7IDUunspecified P8 P8,C13
Whatistheprojectedincrementalcost-effectivenessratio(ICER) ofaddingPrEPforaspecifiedpopulationtothemixofcurrentHIVpreventionandtreatmentinterventions? IsPrEPforagivenpopulationcost-effectiverelativetointernationalstandards?
AGYW M5 C13,O14,M19,L7,L44FSW C2,M5,L18 O9,C13,O14,M19 O22
sero-discordantcouples L11,L39 L2 L2(Uganda),L10(Mozambique)
MSM C2 P14IDU
unspecified P8P8,P8(cabotegravir),L15,L22,L29,L33(women),L44
P23 O27,L27(Zambia),L30(SSA)
Whatarethepotentialcostsavings ofdeliveringPrEPintermsoflowerARTcosts?
AGYW M5 C13,O14,M19FSW C2,M5 C13,O14,M19 O22sero-discordantcouplesMSM C2 P14IDUunspecified P8 P8 P23 O27
Gapsinmodelingdata:Cost-effectiveness
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Gaps:OPTIONSmodelingquestionsWhatismissingfromthePrEPmodelingstudiesconductedtodateareanswerstothefollowingquestions,ofparticularrelevancetopolicymakers:
1. Aretherespecificsubpopulations*in[countryofinterest]forwhichprovidingPrEPmay:a) Providealargeadditionalepidemiological
impact,inadditiontotheexistingsuiteofpreventioninterventionsandscale-upofART?
b) Becost-effective?
2. Howdoesdifferentialuptakebydifferentsub-populationsmodifytheimpactprojections?a) WhichnewARV-basedpreventionoptionsbest
satisfyadolescentgirls’andyoungwomen’sownneeds(preferences)?
b) WhataretheriskprofilesandsociodemographiccharacteristicsofwomenwhopreferPrEP?
3. Doesitcostmoretoreachhigherrisksubgroupsofwomen?a) Howdoesthisaffectthecost-effectiveness
projections?
OncethepopulationsforPrEPprovisionhavebeendecideduponthroughdiscussionswithpolicymakers,donors,andprogramplanners,basedonthemodelingandotherconsiderations,thefollowingmodelingquestionswillneedtobeaddressedforprogramplanning:
4. HowmanypeoplewillrequirePrEPin[countryofinterest]in[timeframedefinedbypolicymakers]?
a) Nationaldemandprojectionswillbedisaggregatedbydistrict/county/province,riskgroup,andservicedeliverymodel
5. Howmuchwillitcost?
6. Whatwillbetheprojectedimpact?
*Subpopulationsmaybedefinedbyriskgroup,age,sex,geography,accesstootherhealthcareservices,andotherfactors.
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What’sneededtoanswerquestionsforpolicymakers?
• Country-specificprimarydataareneeded;inthecaseofriskgrouppopulationsize,epidemiology,andbehavior,thedatamayalreadybeavailablethroughexistingsources
• However,forPrEP-specificquestionsaboutuptake,adherence,costofdifferentservicedeliverymodelsandreachingdifferentsubpopulations,thedatawilllikelycomefromthedemonstrationprojectsandotherprimarydatacollection;theavailabilityofthesedatamaybealimitingfactorforthemodeling
• Inadditiontothedata,adetailedage-structuredmodelisneededtoassessthepotentialadditionalepidemiologicalimpactofprovidingspecificsubpopulationsofAGYWwithPrEPinthecontextofscale-upofantiretroviraltreatmentandvoluntarymedicalmalecircumcision
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What’sneededtoanswerquestionsforprogramplanning?• Toestimatequestionsofdemand,healthsystemsresourceutilizationandtotal
programcost,additionalinformationisneededregardingthecostofPrEPthroughdifferentdeliverychannelsfordifferentsubpopulationsineachcountry
– Mostofthesecostdatahavenotyetbeencollected,giventhatimplementationisstillintheearlystages,andimplementationstrategiesarestillbeingworkedoutinthecontextofthedemonstrationstudies
• Inaddition,informationneedstobecollectedaboutthesizeofspecificsubpopulations (e.g.,highestriskadolescentgirlsandyoungwomen,sexworkerswithdifferentbehavioralandriskcharacteristics)andaboutexistingandpossibleexpansioncapacityofthedeliverysystemsthatwouldbeutilizedforPrEP
• Ifthesedataareavailableorbecomeavailable,additionalmodelingcanbeconductedtoassistwithquantifyingdemandandprojectingtotalcostandimpactofagivenPrEPtargetingstrategy
Thank you
ThisprogramismadepossiblebythegenerousassistancefromtheAmericanpeoplethroughtheU.S.AgencyforInternationalDevelopment(USAID)inpartnershipwithPEPFARunderthetermsofCooperativeAgreementNo.AID-OAA-A-15-00035.The
contentsdonotnecessarilyreflecttheviewsofUSAIDortheUnitedStatesGovernment.