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The SOLVE-IT National Randomized Trial (SOLVE-IT)

Primary Purpose

HIV Infections

Status
Completed
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
SOLVE-IT
Sponsored by
University of Southern California
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional prevention trial for HIV Infections focused on measuring HIV/AIDS Prevention, Men Who Have Sex With Men (MSM), Risky Sexual Behavior, Socially Optimized Learning in a Virtual Environment (SOLVE), HIV Seronegativity

Eligibility Criteria

18 Years - 24 Years (Adult)MaleDoes not accept healthy volunteers

Inclusion Criteria:

  • Self-identifies as Latino, black, or Caucasian
  • Men who have sex with men
  • Not HIV infected
  • Engaged in unprotected anal sex at least twice in the 90 days before study entry with a nonprimary male partner
  • Has broadband access during course of study
  • Lives in United States
  • Biological male

Exclusion Criteria:

  • History of nonprescription drug injection use
  • Has participated in SOLVE-IT at any phase

Sites / Locations

  • University of Southern California (University Village)

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

Active Comparator

Arm Label

SOLVE-IT

Waitlist Control

Arm Description

Participants will receive the intervention SOLVE-IT. The SOLVE-IT intervention is a videogame designed to optimize self-regulation, reduce shame, and reduce risky choices for young men who have sex with men (YMSM).

Participants will receive the intervention, SOLVE-IT, a video game designed to optimize self-regulation reduce shame, and reduce risky sexual choices for YMSM, after a 6-month waitlist period.

Outcomes

Primary Outcome Measures

Residualized Change in Counts of Unprotected Anal Intercourse at 3 Months
Counts of unprotected anal intercourse (one each for insertive and receptive; UAI) in the past 3 months with a non-primary partner were reported by participants at baseline, and 3 month follow-up. Reports of insertive and receptive anal intercourse per time period were summed. Change in unprotected anal intercourse was calculated at 3 months using residualized change scores (regressing 3-month reported UAI (Y) on baseline UAI. Negative numbers reflect a reduction in UAI over time). Although raw counts of UAI are heavily tailed, residualized change scores yield a normal distribution.
Residualized Change in Counts of Unprotected Anal Intercourse at 6 Months
Counts of unprotected anal intercourse (one each for insertive and receptive) in the past 3 months with a non-primary partner were reported by participants at baseline, and 6 month follow-up. Reports of insertive and receptive anal intercourse per time period were summed. Change in unprotected anal intercourse from baseline, was calculated at 6 months using residualized change scores (regressing 6-month reported UAI (Y) on baseline UAI. Negative numbers reflect a reduction in UAI over time). Raw counts of UAI are heavily tailed, but residualized change scores are normally distributed.

Secondary Outcome Measures

Shame Residualized Change
Measures of reported shame (five items from an existing subscale of Watson and Clark's (1994) Positive and Negative Affect Schedule- Expanded Form-- designed to assess State Shame): ashamed, blameworthy, angry at self, disgusted with self, dissatisfied with self. Participants indicate to what extent they experienced emotions that were part of this sub scale, responding on a scale from 1 (very slightly or not at all) to 5(extremely). Values reported represent the mean value per participant on the State Shame subscale; values per participant on this subscale therefore ranged from 1 to 5. Higher scores represent a higher level of reported state shame. Scores on this scale are heavily tailed. Therefore, we have consistently used residualized change scores: This is calculated from baseline to immediate post; negative numbers for residualized change mean reduced shame baseline to immediate post.

Full Information

First Posted
April 3, 2008
Last Updated
June 23, 2019
Sponsor
University of Southern California
Collaborators
National Institute of Mental Health (NIMH)
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1. Study Identification

Unique Protocol Identification Number
NCT00653991
Brief Title
The SOLVE-IT National Randomized Trial
Acronym
SOLVE-IT
Official Title
SOLVE IT: Real Risk Reduction for MSM
Study Type
Interventional

2. Study Status

Record Verification Date
June 2019
Overall Recruitment Status
Completed
Study Start Date
June 2011 (undefined)
Primary Completion Date
October 2012 (Actual)
Study Completion Date
May 2013 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
University of Southern California
Collaborators
National Institute of Mental Health (NIMH)

4. Oversight

Data Monitoring Committee
No

5. Study Description

Brief Summary
This study will evaluate the effectiveness of an interactive virtual environment computer game in reducing risky sexual behaviors among men who have sex with men.
Detailed Description
HIV and sexually transmitted diseases (STDs) are a major public health concern worldwide. Although prevalent across all groups of people, HIV/STDs have had a remarkable effect on men who have sex with men (MSM), who accounted for 71% of all HIV infections among American males in 2005. After years of decline, the number of HIV diagnoses appears to have increased for MSM, especially within the black MSM population. Thus, new approaches geared for HIV prevention and education and built on past HIV prevention methods are needed. New technologies, such as interactive computer games, delivered in a modern and appealing manner may gain or recapture the attention of MSM who have disregarded more traditional HIV prevention and educational services. Socially Optimized Learning in a Virtual Environment (SOLVE)-IT is an interactive virtual environment computer game, designed specifically for MSMs, that simulates the emotional, interpersonal, and contextual narrative of an actual sexual encounter and provides challenging decision-making opportunities. By promoting development of self-regulatory and behavioral skills, SOLVE-IT may be an effective approach to reduce sexual risk behaviors. This study will evaluate the effectiveness of SOLVE-IT in reducing risky sexual behaviors among MSM. Participation in this study will last 6 months from the beginning of treatment. All participants will first undergo baseline assessments that will include questionnaires about sexual behavior, drug use, health history, feelings, and beliefs. Participants will then be assigned randomly to receive SOLVE-IT immediately or after a 6-month waitlist period. SOLVE-IT will include two 1-hour sessions conducted on a computer over the Internet, occurring at baseline and 6 months later. During sessions, participants will play an interactive computer game that presents dating or sexual scenarios and allows participants to choose how the scenarios unfold. Participants will repeat baseline questionnaires at Months 3 and 6 of follow-up. Participants in the waitlist group will be offered to receive SOLVE-IT after completion of the Month 6 follow-up.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
HIV Infections
Keywords
HIV/AIDS Prevention, Men Who Have Sex With Men (MSM), Risky Sexual Behavior, Socially Optimized Learning in a Virtual Environment (SOLVE), HIV Seronegativity

7. Study Design

Primary Purpose
Prevention
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
None (Open Label)
Allocation
Randomized
Enrollment
2020 (Actual)

8. Arms, Groups, and Interventions

Arm Title
SOLVE-IT
Arm Type
Experimental
Arm Description
Participants will receive the intervention SOLVE-IT. The SOLVE-IT intervention is a videogame designed to optimize self-regulation, reduce shame, and reduce risky choices for young men who have sex with men (YMSM).
Arm Title
Waitlist Control
Arm Type
Active Comparator
Arm Description
Participants will receive the intervention, SOLVE-IT, a video game designed to optimize self-regulation reduce shame, and reduce risky sexual choices for YMSM, after a 6-month waitlist period.
Intervention Type
Behavioral
Intervention Name(s)
SOLVE-IT
Other Intervention Name(s)
Socially Optimized Learning in Virtual Environments
Intervention Description
SOLVE-IT, a video game using computer-generated virtual agents, is the next generation of interactive media aimed at reducing risky sex among young MSM. Participants will interact in a virtual environment that focuses upon HIV prevention in a dating context.
Primary Outcome Measure Information:
Title
Residualized Change in Counts of Unprotected Anal Intercourse at 3 Months
Description
Counts of unprotected anal intercourse (one each for insertive and receptive; UAI) in the past 3 months with a non-primary partner were reported by participants at baseline, and 3 month follow-up. Reports of insertive and receptive anal intercourse per time period were summed. Change in unprotected anal intercourse was calculated at 3 months using residualized change scores (regressing 3-month reported UAI (Y) on baseline UAI. Negative numbers reflect a reduction in UAI over time). Although raw counts of UAI are heavily tailed, residualized change scores yield a normal distribution.
Time Frame
Measured at baseline and 3 month follow-up
Title
Residualized Change in Counts of Unprotected Anal Intercourse at 6 Months
Description
Counts of unprotected anal intercourse (one each for insertive and receptive) in the past 3 months with a non-primary partner were reported by participants at baseline, and 6 month follow-up. Reports of insertive and receptive anal intercourse per time period were summed. Change in unprotected anal intercourse from baseline, was calculated at 6 months using residualized change scores (regressing 6-month reported UAI (Y) on baseline UAI. Negative numbers reflect a reduction in UAI over time). Raw counts of UAI are heavily tailed, but residualized change scores are normally distributed.
Time Frame
Measured at baseline and 6 month follow-up
Secondary Outcome Measure Information:
Title
Shame Residualized Change
Description
Measures of reported shame (five items from an existing subscale of Watson and Clark's (1994) Positive and Negative Affect Schedule- Expanded Form-- designed to assess State Shame): ashamed, blameworthy, angry at self, disgusted with self, dissatisfied with self. Participants indicate to what extent they experienced emotions that were part of this sub scale, responding on a scale from 1 (very slightly or not at all) to 5(extremely). Values reported represent the mean value per participant on the State Shame subscale; values per participant on this subscale therefore ranged from 1 to 5. Higher scores represent a higher level of reported state shame. Scores on this scale are heavily tailed. Therefore, we have consistently used residualized change scores: This is calculated from baseline to immediate post; negative numbers for residualized change mean reduced shame baseline to immediate post.
Time Frame
Measured at baseline and Immediate post

10. Eligibility

Sex
Male
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
24 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Self-identifies as Latino, black, or Caucasian Men who have sex with men Not HIV infected Engaged in unprotected anal sex at least twice in the 90 days before study entry with a nonprimary male partner Has broadband access during course of study Lives in United States Biological male Exclusion Criteria: History of nonprescription drug injection use Has participated in SOLVE-IT at any phase
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Lynn C. Miller, PhD
Organizational Affiliation
University of Southern California
Official's Role
Principal Investigator
Facility Information:
Facility Name
University of Southern California (University Village)
City
Los Angeles
State/Province
California
ZIP/Postal Code
90007
Country
United States

12. IPD Sharing Statement

Citations:
Citation
Read SJ, Miller, LC, Appleby PR, Nwosu ME, Reynaldo S, Lauren A, Putcha A. Socially optimized learning in a virtual environment: Reducing risky sexual behavior among men who have sex with men. Human Communication Research 32(1):1-34, 2006.
Results Reference
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The SOLVE-IT National Randomized Trial

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