| Literature DB >> 30180860 |
Kenneth K Mugwanya1, Elizabeth Irungu2, Elizabeth Bukusi2,3, Nelly R Mugo4,2, Josephine Odoyo2, Elizabeth Wamoni2, Kenneth Ngure5, Jennifer F Morton4, Kathryn Peebles4, Sarah Masyuko6, Gena Barnabee4, Deborah Donnell4,7, Ruanne Barnabas8, Jessica Haberer9, Gabrielle O'Malley4, Jared M Baeten10.
Abstract
BACKGROUND: Antiretroviral therapy (ART) for HIV-infected persons and pre-exposure prophylaxis (PrEP) for uninfected persons are extraordinarily effective strategies for HIV prevention. In Africa, the region which shoulders the highest HIV burden, HIV care is principally delivered through public health HIV care clinics, offering an existing platform to incorporate PrEP delivery and maximize ART and PrEP synergies. However, successfully bringing this integrated approach to scale requires an implementation science evaluation in public health settings.Entities:
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Year: 2018 PMID: 30180860 PMCID: PMC6123996 DOI: 10.1186/s13012-018-0809-7
Source DB: PubMed Journal: Implement Sci ISSN: 1748-5908 Impact factor: 7.327
Fig. 1Clinical settings. Counties in Kenya with high and medium HIV incidence
Fig. 2Schema for the cluster-randomized stepped-wedge design
Application of the RE-AIM framework to evaluate the programmatic scale-up of PrEP integrated into public health HIV clinics
| Domain | Original RE-AIM definition | Measurement level | Project-specific outcome measures |
|---|---|---|---|
| Reach | Reach is the absolute number, proportion, and representativeness of individuals who are willing to participate in a given initiative | Individual | ▪ Number of at-risk persons initiated on PrEP |
| Clinic | ▪ Characteristics of implementing clinics | ||
| Effectiveness | The impact of an intervention on outcomes, including potential negative effects, quality of life, and economic outcomes. | Individual | ▪ Incident HIV infection among PrEP users |
| Program | ▪ Cost and cost-effectiveness outcomes: unit cost, HIV infections averted, ICER, DALYS | ||
| Adoption | Absolute number, proportion, and representativeness of settings and intervention agents who are willing to initiate a program | Individual | ▪ PrEP continuation rates |
| Clinic | ▪ Number of clinics implementing PrEP in HIV clinics | ||
| Implementation | The intervention agents’ fidelity to the various elements of an intervention’s protocol | Clinic | ▪ Number and % of users appropriately initiated on PrEP |
| Maintenance | The extent to which a program or policy becomes institutionalized or part of the routine organizational practice | Individual | ▪ 6-month PrEP continuation rates |
| Clinic | ▪ Number of clinics implementing PrEP in HIV clinics | ||
| National program | ▪ PrEP delivery in HIV clinic continuing as part of Kenya MOH program |
Data sources
| Data source | Description | Purpose |
|---|---|---|
| Data abstraction | ▪ Data abstracted from clinical delivery tools | ▪ Define who is initiating PrEP and whether persons are appropriately put on PrEP |
| Technical assistance | ▪ TA reports prepared at baseline and 6-monthly | ▪Document details of the process of adoption and integration of PrEP delivery and track changes in PrEP implementation processes. |
| Qualitative interviews: user and provider | ▪ Purposefully sampled patient and key informants involved in the delivery | ▪ Gain deep understanding of process of adoption and integration of PrEP delivery and track changes in PrEP implementation processes. |
| Time and motion studies | ▪ Primary data collection | ▪ Economic evaluation |
| Exit interviews | ▪ Random on spot user structured surveys at the end of clinic visit | ▪ User experiences and satisfaction |
| Random blood draw | ▪ Dried blood spots collected at ~ 10% visits on persons using PrEP | ▪ Objective assessment of PrEP adherence (tenofovir levels), resistance surveillance |
| Observation | ▪ Informal | ▪ Track changes in PrEP implementation processes. |
Application of Consolidated Framework for Implementation Science Research to the Partners Scale Up Project
| CFIR domains/definitions | Respective project-specific codes |
|---|---|
| 1. Innovation characteristics | 1. Oral prep for HIV prevention |
| Innovation Source: | ▪ Ownership of the PrEP program at: |
| Adaptability: | ▪ Adaptations—clinic level: |
| Complexity | ▪ Perceived difficulty of delivering PrEP: |
| 2. Outer setting | 2. External influence of prep implementation |
| External policy and incentives | ▪ External enablers and policy: |
| Peer pressure | ▪ Clinic-level peer pressure: |
| 3. Inner setting | 3. Clinic-level factors |
| Structural characteristics | ▪ Infrastructure and staff: |
| Relative priority | ▪ Clinic-level priority: |
| Leadership engagement | ▪ Leadership engagement: |
| Access to knowledge and information | ▪ Staff training: |
| Available resources | |
| 4. Characteristics of individuals | 4. Health care provider factors |
| Knowledge and beliefs about the innovation | ▪ Provider adoption and experience: |
| Self-efficacy | ▪ Self-efficacy: |
| 5. Process | 5. Prep implementation process |
| Engaging | ▪ Demand creation strategies: |
| Champions | ▪ PrEP champions: |
| External change agents | ▪ External change agents: |
| Execution | ▪ Fidelity, clinic innovations, and adaptations—PrEP provision: |
| Innovation participants | ▪ Patient experiences: |
| Reflecting and evaluating | ▪ M & E activities: |