HIV Screening Take-up: Evaluating Incentives and Opt-out Strategies
| Status: | Completed |
|---|---|
| Conditions: | HIV / AIDS |
| Therapuetic Areas: | Immunology / Infectious Diseases |
| Healthy: | No |
| Age Range: | 13 - 64 |
| Updated: | 7/11/2015 |
| Start Date: | May 2011 |
| End Date: | December 2012 |
| Contact: | Beth Kaplan, MD |
| Email: | beth.kaplan@emergency.ucsf.edu |
| Phone: | 415-206-5757 |
Over twenty percent of HIV-positive persons in the United States are unaware of their
infection, leading the Institute of Medicine to recently urge further work to compare the
effectiveness of HIV screening strategies. This study will use a randomized trial to compare
several variants of emergency-room-based HIV-testing policies in order to determine how HIV
test acceptance rates can be increased. The testing policies will be designed using
principles from behavioral economics, varying the choice architecture and offering small
monetary incentives. This will be the first study to measure differences in take-up rates
across a variety of promising but largely untested approaches within a unified randomized
trial. Three defaults will be tested: traditional opt-in (test only those patients who
request testing), opt-out (routinely testing unless patients decline), and active-choice
testing (patients are required to state whether they want to be tested). The study will also
be the first to test the effect of small monetary incentives ($1, $5, $10) on test take-up.
An additional novel study contribution will be to test the hypothesis that compliance with
large requests (accept an HIV test) increases after making a small request or pre-commitment
- this "foot in the door" technique has not been previously studied in this setting. The
factorial design will permit a direct comparison of all interventions, as well as
interactions. The study will contribute a nuanced empirical understanding of how testing
protocols from behavioral economics theory affect the effectiveness and efficiency of
screening programs in an actual scaled- up setting (San Francisco General Hospital). This
will assist in implementing and assessing recent CDC guidelines on HIV screening, while also
more generally advancing scientific knowledge related to applying behavioral economics in
comparative effectiveness research.
infection, leading the Institute of Medicine to recently urge further work to compare the
effectiveness of HIV screening strategies. This study will use a randomized trial to compare
several variants of emergency-room-based HIV-testing policies in order to determine how HIV
test acceptance rates can be increased. The testing policies will be designed using
principles from behavioral economics, varying the choice architecture and offering small
monetary incentives. This will be the first study to measure differences in take-up rates
across a variety of promising but largely untested approaches within a unified randomized
trial. Three defaults will be tested: traditional opt-in (test only those patients who
request testing), opt-out (routinely testing unless patients decline), and active-choice
testing (patients are required to state whether they want to be tested). The study will also
be the first to test the effect of small monetary incentives ($1, $5, $10) on test take-up.
An additional novel study contribution will be to test the hypothesis that compliance with
large requests (accept an HIV test) increases after making a small request or pre-commitment
- this "foot in the door" technique has not been previously studied in this setting. The
factorial design will permit a direct comparison of all interventions, as well as
interactions. The study will contribute a nuanced empirical understanding of how testing
protocols from behavioral economics theory affect the effectiveness and efficiency of
screening programs in an actual scaled- up setting (San Francisco General Hospital). This
will assist in implementing and assessing recent CDC guidelines on HIV screening, while also
more generally advancing scientific knowledge related to applying behavioral economics in
comparative effectiveness research.
Inclusion Criteria:
- Patients aged 13 - 64 years who are awake, alert, not intoxicated, and understand the
premise of the test will be offered the test and questionnaire according to their
treatment group.
Exclusion Criteria:
- Patients who have altered levels of consciousness, are critically ill (e.g., serious
trauma), are known to have preexisting HIV diagnosis, or who have been tested for HIV
in the past 3 months will be excluded from the study.
- Pregnant patients will be excluded due to alternative guidelines for incorporating
opt-out testing during prenatal care.
- Any patients who are in police custody will also be excluded due to their lack of
control over study participation decisions and ethical concerns over possible
coercion.
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