Predicting PrEP Uptake and Adherence among Adolescent Girls and Young Women in Sub-Saharan Africa: Leveraging Programmatic and Clinical Trials Data
Predicting PrEP Uptake and Adherence among Adolescent Girls and Young Women in Sub-Saharan Africa: Leveraging Programmatic and Clinical Trials Data
批准号:
10201694
负责人:
Ying Qing Chen
金额:
$11.88万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-01 至 2022-03-31
关键词:
AIDS preventionAddressAdherenceAffectAfricaAfrica South of the SaharaAfricanAgeBehavioralCaringClinical TrialsClinical Trials DesignClinical Trials NetworkCommunitiesCountyDataData CollectionDoseDrug KineticsEpidemicExclusion CriteriaFactor AnalysisFamilyFemale AdolescentsFunding OpportunitiesFutureGenderHIVHIV InfectionsHIV prevention trials networkHealthHealth PersonnelIncidenceIndividualInterventionInterviewKenyaLifeMale CircumcisionMeasurementMentorsMethodsModelingMonitorOralOutcomeParticipantPopulationPreventionPrevention approachPrevention programPrevention strategyPrevention trialPreventiveProviderRandomizedRandomized Clinical TrialsRegimenResearchResearch DesignRiskRisk FactorsRoleSaharaSampling BiasesSchoolsSexual PartnersSocial ProtectionSouth AfricaStructureTimeVulnerable PopulationsWeightWomanZambiaagedantiretroviral therapybaseclinical trial implementationcondomscost effectivenessdesignempoweredexperiencefallshigh riskimplementation studyimprovedinfection rateinfection riskinsightintervention programmathematical modelmenmicrobicidemulti-component interventionmultilevel analysispeerpre-exposure prophylaxispreventive interventionprogramsresponsescale upskills trainingsuccesstransmission processuptakeyoung woman
中文摘要
摘要
英文摘要
ABSTRACT
Overall, 15% of women living with HIV worldwide are aged 15-24 years, with the majority (80%) living in sub-
Saharan Africa. Although HIV care and treatment initiatives as well as scale-up of prevention activities have
dramatically reduced HIV infection rates in much of sub-Saharan Africa (SSA), young women there experience
among the highest HIV incidence rates in the world. Recent research has demonstrated the efficacy of several
interventions to reduce risk of HIV in adolescent girls and young women (AGYW) by reducing HIV acquisition
in men through male circumcision or reducing transmission from HIV-infected men through early antiretroviral
therapy (ART). Interventions for AGYW themselves have included biomedical interventions such as ART-
based microbicides or pre-exposure prophylaxis, and social protection interventions including safe spaces,
cash transfers for staying in school, life skills training, and community support for changes in gender norms.
Because no single biomedical, behavioral or structural intervention is highly effective for AGYW, the most
effective approach will likely involve multiple interventions in combination. The success of combination
prevention interventions will depend not only on the efficacy of their component parts but also on the feasibility
of broad implementation and the acceptability of individual components which, in turn, affect uptake and
adherence. One challenge for program implementers is bridging from clinical trials to program implementation
since the trial populations are different from the overall population of AGYW – thus data from trial participants
may not predict real-world acceptability and the influence of individual, provider and community attributes on
AGYW’s uptake of and adherence to HIV prevention strategies. An additional challenge is programmatic data
are usually are not hypothesis-driven, and do not maintain the same research rigor in study design, data
collection and annotation, that randomized clinical trials do. Thus, relying on program data alone for multi-level
factor analysis is highly likely to produce biased results. In this application, we tackle the challenges of
analyzing the influence of multiple factors on AGYW’s uptake and adherence leveraging data from both the
DREAMS Initiative program and clinical trials in sub-Saharan African AGYW. Our specific aims are:
Aim 1. Determine multi-level individual and community risk factors associated with the PrEP uptake and
adherence outcomes among AGYW, using programmatic data from the DREAMS Initiative.
Aim 2. Enhance multi-level analysis of the factors identified to influence uptake and adherence by AGYW in
Aim 1, leveraging data from both the DREAMS Initiative and the HPTN randomized clinical trials.
Aim 3. Predict the influence of the multi-level factors on AGYW uptake and adherence to HIV prevention
packages, and assess their population impact.
Aim 4. Bridge between the randomized clinical trials and the implementation studies to assess combination
prevention intervention packages with better precision for AGYW’s uptake and adherence.
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