HIV Infections Clinical Trial
Official title:
Using Mathematical Modelling to Determine the Number and Characteristics of People Living With Undiagnosed HIV to Inform Targeted and Innovative HIV-testing
An innovative HIV-testing strategy is developed based on mathematical modeling results on undiagnosed HIV and being implemented in primary care settings in Belgian's Flemish region. The systematically developed intervention aims at increasing the number of targeted HIV tests in primary care in order to identify people with undiagnosed HIV. The intervention tool is an HIV-screening advice targeting general practitioners (GPs), combining indicator-condition based screening and target-group based screening. A group-level training to apply this advice in routine practice is being delivered as part of the continuing medical education through GP-associations. The intervention is implemented across Flanders adopting a modified stepped wedged design: two different intervention levels (delivering written/online information on the HIV testing advice versus information plus group-level training) are being compared with a control condition (no intervention, i.e. standard practice) based on surveillance data. A mixed-method study evaluates the intervention's effectiveness, feasibility, and acceptability.
An innovative HIV-screening strategy is developed based on mathematical modelling on undiagnosed HIV and being implemented in primary care settings in Belgian's Flemish region. A multidisciplinary advisory board including stakeholders from the public sector, community-based organizations and primary care physicians (general practitionners; GPs) has been set up to advise on the different phases of the intervention's systematic development and implementation. Mathematical modelling using a back-calculation approach with national HIV-surveillance data delivered estimations of undiagnosed HIV and time-distribution between HIV-acquisition and diagnosis: 2805 (confidence interval: 2478 - 3186) people living with HIV remained undiagnosed in 2015, with highest rates among non-Belgian men having sex with men, and sub-Saharan African (SSA) women followed by SSA men (Marty et al., 2017) . These results informed the intervention objectives: to increase the numbers of HIV-tests performed, of new HIV-diagnoses among the priority groups with undiagnosed HIV, and of timely HIV diagnoses in these groups to link HIV positive individuals to care. A systematic literature review (Deblonde et al., 2018) indicated that many diagnostic opportunities were missed in primary care. Therefore, formative qualitative research was conducted with 122 purposively selected GPs to understand their perceived barriers and facilitators for HIV-testing. Based on these results, the following intervention determinants are addressed: HIV-knowledge, motivation to test and skills to proactively offer an HIV-test in a non-judgmental manner. Formative research and input from the advisory board also informed the delivery mode of the intervention. The intervention consists of an HIV-screening advice combining indicator-condition based screening (adapted for primary care) and target-group based screening. A multidisciplinary group-level training (one evening session) to apply this advice in routine practice is being delivered as part of the continuing medical education through GP-associations. The intervention is implemented across Flanders using a modified stepped wedged design t evaluate its effectiveness: two different intervention levels (1) delivering written/online information only on the HIV testing advice versus (2) information plus group-level training, are being compared with a control condition (standard of care or no specific intervention). regional HIV surveillance data are being used for the outcome evaluation. A mixed-method study evaluates the intervention's effectiveness, feasibility, and acceptability. Deblonde J, Van Beckhoven D, Loos J, Boffin N, Sasse A, Nöstlinger C, Supervie V. HIV testing within general practices in Europe: a mixed-methods systematic review. BMC public health. 2018 Dec;18(1):1191. ;
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