View clinical trials related to HIV Testing.
Filter by:Young Black men who have sex with men (MSM) and transwomen in the US are affected by HIV at severely disproportionate rates. A key component of HIV prevention for communities at risk is diagnosing HIV infections through regular HIV testing. A significant proportion of young Black MSM and transwomen have not tested in the prior year. This research study seeks to address low HIV testing rates among young Black MSM and transwomen by testing a brief Internet-based HIV testing intervention optimized for mobile devices. The intervention takes advantage of the variety of HIV testing options now available, including the HIV self testing, couples-based HIV counseling and testing and traditional clinic-based testing and will provide men and transwomen with a tailored recommendation of their optimal HIV testing approach. The investigators are conducting a pilot randomized study among young Black MSM and transwomen followed for 6 months to estimate the intervention's potential efficacy in increasing HIV testing.
Despite worldwide efforts to promote HIV Counseling and Testing (HCT), rates of testing remain low. Understanding how high risk groups decide to test and adapting available testing options to their preferences has the potential to broadly improve HCT uptake and cost-effectiveness. This study proposes to use a Discrete Choice Experiment, a survey method increasingly used by health economists for the design of patient-centered health care options, to rigorously quantify HIV testing preferences among two high-risk populations, identify their preferred testing options, and evaluate, in a pragmatic randomized controlled trial (RCT), the effect of a preference-based HIV counseling and testing (PB-HCT) intervention on testing uptake. At a time of heightened focus on health preferences research and patient-centered care, this study evaluates the critical link between preference-based intervention design and efficacy. If the RCT indicates that PB-HCT increases testing rates, the testing options evaluated in this R01 can be offered to high-risk populations in the study area, and the preference elicitation method and tools can be used to inform the design of testing options that better match the preferences of other high-risk populations and in other settings.
Because people with undiagnosed HIV will not receive treatment and may unknowingly infect others, the investigators propose a mobile computer-based video intervention to increase HIV test rates in high volume urban hospital emergency departments (EDs). EDs offer important points of contact for many of those at greatest risk for HIV. Unfortunately, when ED patients are offered routine HIV testing, most decline. Our proposed intervention builds upon initial findings from a trial our research team conducted with patients who declined HIV testing. The intervention, grounded in the Information-Motivation and Behavioral Skills model (IMB), showed an onscreen physician explaining the importance of HIV testing (to build knowledge and motivation) and modeling a rapid HIV test (to increase motivation and behavioral skill). This brief intervention had a potent effect: a third accepted HIV testing post-intervention. While this preliminary study is highly encouraging, it revealed a number of other critical research questions. First, it remains unclear what intervention component most strongly contributed to patients' decisions to test: the video content or the offer of an HIV test by a computer rather than a person. Second, consistent with the literature, participants indicated a community member disclosing positive HIV status onscreen would increase the proportion of patients who test. Third, results suggest there is individual variation in the extent to which behavior is more strongly influenced by onscreen community members or experts (e.g. physicians). Therefore, the goal of the present study, guided by the IMB model, is to determine how the investigators can refine mobile computer-based interventions to maximize HIV testing rates among patients who initially decline to test in the ED. At the end of the computerized intervention, onscreen text will ask patients if they would agree to an HIV test. Those who agree will be tested by ED staff. The study's endpoint will be post-intervention HIV test rates. The investigators' study will inform scalable interventions for underserved populations nationwide.
The proposed study is designed to develop and test the effectiveness of a novel web-based HIV intervention to motivate HIV testing among men who have sex with men (MSM). The intervention arm includes the delivery of videos tailored to the reasons MSM have for not getting tested for HIV, as well as HIV testing motivational messages sent via mobile-phone text messaging, e-mail or instant messaging. The intervention and assessments will be guided by the Information-Motivation-Behavioral skills model, the Health Belief Model and the Stages of Change theory. The control intervention will be a health promotion message (similar in content to other Peruvian websites) with an invitation for free HIV testing. Testing will be offered at the Via Libre and Epicentro clinic, and at a mobile unit whose location will be determined based on participants' demand. The outcomes evaluated will be intention to get tested and actual HIV testing among MSM of each of the trial arms.
Objectives 1. To determine the impact of MSM-targeted multidisciplinary services on uptake of HIV voluntary counseling and testing (VCT) 2. To determine the impact of MSM-targeted multidisciplinary services on the enrollment into care and retention of HIV-positive MSM Subject population: HIV-negative and HIV-positive MSM clients, age ≥18 years old, of the Thai Red Cross Anonymous Clinic (TRC-AC) in Bangkok Thailand, the Cipto Mangunkusumo Hospital in Jakarta, and the Sanglah Hospital in Bali, Indonesia Number of participants: 200 HIV-negative and 150 HIV-positive MSM participants