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Increasing HIV Testing in Urban Emergency Departments Via Mobile Technology

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02154802
Enrollment
300
Registered
2014-06-03
Start date
2014-07-31
Completion date
Unknown
Last updated
2014-06-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

HIV Testing

Brief summary

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.

Interventions

BEHAVIORALvideo: community member
BEHAVIORALvideo: physician
BEHAVIORALvideo: choice of video

Sponsors

National Development and Research Institutes, Inc.
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
FACTORIAL
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Age 18 or over * Capable of providing informed consent * Reads English * Declined HIV test offered by hospital staf at triage

Exclusion criteria

* intoxicated * a prisoner * known to be HIV positive * presenting to the hospital for a psychiatric problem

Design outcomes

Primary

MeasureTime frameDescription
Number of participants who accept an HIV test after completing the interventionDay 1The intervention computers will show participants a set of videos and data collection instruments. When the participant has watched the video and responded to all instruments, the computers will ask patients if they would like an HIV test. Answers are yes or no.

Secondary

MeasureTime frameDescription
Knowledge changeBaseline, Day 1The intervention computers will display a set of HIV-related knowledge questions before and after a video segment. This will enable the investigators to examine potential increases in participants' knowledge after watching a video.

Countries

United States

Contacts

Primary ContactIan D Aronson, Ph.D.
aronson@ndri.org212-845-4567
Backup ContactLisa Bernhard
bernhard@ndri.org

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026