HIV Clinical Trial
Official title:
Integra Initiative to Assess the Benefits and Costs of Integrating Sexual and Reproductive Health and HIV Services in Kenya and Swaziland
The overarching aim of the Integra Initiative is to strengthen the evidence base on the
impact of integrating family planning (FP), postnatal care (PNC) and HIV services in
sub-Saharan Africa. Specifically, in the study the investigators aim to test the following
hypotheses:
the provision of integrated services, compared to separate services, will:
1. lead to increased uptake of a range of SRH services .
2. attract a greater number and diversity of clients.
3. lead to increased quality of a range of SRH services
4. lead to healthier sexual and reproductive behavior.
5. lead to reduced stigma at health facilities.
6. lead to the more efficient use of resources, with a lower unit cost of provision of key
services.
For the purposes of this study integration is defined as offering clients both HIV and
postnatal care (PNC) or HIV and family planning (FP) services in the same visit.
To better understand how services can be integrated in different countries this study
focuses on two key models of integration in Kenya and Swaziland.
- The first model focuses on integration of FP and HIV services (integrated FP model) and
entails performing HIV testing, STI screening and management, cervical cancer
screening, condom promotion within FP consultations, as well as active referral to
antiretroviral (ART) units for HIV-positive clients. The FP model will be evaluated in
Kenya only.
- The second model focuses on integration of PNC and HIV services (integrated PNC model)
and will be implemented in both Kenya and Swaziland. The model focuses on the provision
of PNC services to mother and baby, FP services, repeat HIV testing for mother, HIV
testing for infant and referral to HIV services for HIV positive mothers and infants,
as well as referrals for clients requiring other additional services.
There are many well-established reasons that support the rationale for integrating or
linking sexual and reproductive health (SRH) and HIV services in developing countries with
generalized HIV epidemics - primarily in sub-Saharan Africa. Yet the evidence base for the
impact of integrated service delivery on health outcomes and costs remains weak. Partly this
is a result of methodological difficulties.
There is an emerging body of literature addressing the challenges of using randomized
controlled trials to assess the impact of public health interventions. Particularly in cases
such as the Integra Initiative, where the causal chain (between intervention and outcome) is
long, and where there are is a broad range of outcomes that need to be explored, and where
there is already some a degree of integration occurring in some clinic settings, attempting
to conduct a randomized controlled trial is not appropriate. Consistent with evaluation
designs described by Habicht and colleagues, the Integra design includes evaluation of
performance and impact to try to make two types of causal inference: adequacy and
plausibility.
Evaluation of adequacy will assess whether the expected changes in provision, service
utilisation and cost-effectiveness have occurred in intervention facilities. Evaluation of
impact will assess the plausibility that changes in service, health and behavioral outcomes
are due to the Integra Initiative. The case for such plausibility will be built from the
following strands of evidence:
- Comparing findings in 'intervention' facilities with those in facilities chosen as
'comparison' sites prior to the evaluation
- Exploring a dose-response relationship between the measured extent of integration and
the study outcomes
- Measuring changes in performance over time, to demonstrate a logical sequence between
the intervention (integration) and outcomes.
- Measuring change in each step of the logic model - a prerequisite for any attribution
to the intervention
- Triangulating findings from a mix of research methods to capture a range of
perspectives and insights from different disciplines.
The study will employ a controlled pre- and post-test quasi-experimental, or non-randomised,
design and utilises multiple research methods (cohort study, community survey, clinic
assessments, costing tools and qualitative interviews). Since the research is being
conducted in real-life health delivery settings where programmatic contamination is possible
due to ongoing health programme interventions over the study period, the control group will
be referred to as a 'comparison group', for which outcomes will be compared over time up to
two years after implementation.
;
Allocation: Non-Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Health Services Research
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