CClinicalTrials.gg
CompletedNCT00653991SOLVE-ITUpdated Jul 16, 2019Results posted

The SOLVE-IT National Randomized Trial

An interventional study of SOLVE-IT in HIV Infections, sponsored by University of Southern California. Completed at 1 site in United States. Open to male participants aged 18 Years to 24 Years. Per ClinicalTrials.gov, last updated 2019-07-16.

Sponsored by University of Southern California · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
2,020
Allocation
Randomized
Ages
18 Years to 24 Years
Sex
Male
01

Study 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.

Read the 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.

02

Conditions studied

  • HIV Infections

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Keywords

  • HIV/AIDS Prevention
  • Men Who Have Sex With Men (MSM)
  • Risky Sexual Behavior
  • Socially Optimized Learning in a Virtual Environment (SOLVE)
  • HIV Seronegativity
03

In context

HIV Infections

4,258 studies on the registry are indexed under HIV Infections; 240 are open to participants now.

This study's enrollment of 2,020 is above the median of 83 across 3,251 interventional studies indexed under HIV Infections.

Browse HIV Infections studies →

Lead sponsor

University of Southern California is the lead sponsor of 773 studies on the registry; 135 are open to participants now.

Of its 68 completed or terminated interventional studies of FDA-regulated products, 32 (47%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 24 Years
Sexes eligible
Male
Accepts healthy volunteers
No

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

Exclusion Criteria:

  • History of nonprescription drug injection use
  • Has participated in SOLVE-IT at any phase
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
2,020 participants (actual)

Study arms

  • Experimental
    SOLVE-IT

    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).

    Behavioral: SOLVE-IT

  • Active comparator
    Waitlist Control

    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.

    Behavioral: SOLVE-IT

Interventions

  • BehavioralSOLVE-IT

    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.

    Also known as: Socially Optimized Learning in Virtual Environments

06

What researchers measure

Primary outcomes

  1. 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.

    Time frame: Measured at baseline and 3 month follow-up

  2. 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.

    Time frame: Measured at baseline and 6 month follow-up

Secondary outcomes

  1. 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.

    Time frame: Measured at baseline and Immediate post

07

Results

Posted Jul 16, 2019

Participant flow

3 Month Follow-up
Participant flow — 3 Month Follow-up
MilestoneSOLVE-ITWaitlist Control
Started444491
Completed294334
Not completed150157
Withdrew: Participant would not respond150157
6 Month Follow-up
Participant flow — 6 Month Follow-up
MilestoneSOLVE-ITWaitlist Control
Started444491
Completed311350
Not completed133141
Withdrew: Participant would not respond133141

Outcome measures

PrimaryResidualized 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.

Time frame:
Measured at baseline and 3 month follow-up
Reported as:
Mean · Res. Change in Counts of UAI at 3 months
Residualized Change in Counts of Unprotected Anal Intercourse at 3 Months
Res. Change in Counts of UAI at 3 monthsSOLVE-ITWaitlist Control
Residualized Change in Counts of Unprotected Anal Intercourse at 3 Months.10 ± 6.67-.09 ± 9.95
PrimaryResidualized 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.

Time frame:
Measured at baseline and 6 month follow-up
Reported as:
Mean · Change in Counts of UAI at 6 months
Residualized Change in Counts of Unprotected Anal Intercourse at 6 Months
Change in Counts of UAI at 6 monthsSOLVE-ITWaitlist Control
Residualized Change in Counts of Unprotected Anal Intercourse at 6 Months-.48 ± 3.95.41 ± 4.68
Statistical analysis
  • SOLVE-IT vs Waitlist Control · t-test, 2 sided · p = <.001
SecondaryShame 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.

Time frame:
Measured at baseline and Immediate post
Reported as:
Mean · score on a scale
Shame Residualized Change
score on a scaleSOLVE-ITWaitlist Control
Shame Residualized Change-.13 ± .65.09 ± .03

Adverse events

Collected over 6 months per participant in the main study. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
SOLVE-IT—0/444 (0%)0/444 (0%)
Waitlist Control—0/491 (0%)0/491 (0%)

Baseline characteristics

Age, Categorical
Age, Categorical(Participants)SOLVE-ITWaitlist ControlTotal
<=18 years000
Between 18 and 65 years444491935
>=65 years000
Age, Continuous
Age, Continuous(years)SOLVE-ITWaitlist ControlTotal
Mean21.3 ± 1.721.3 ± 1.821.3 ± 1.8
Sex: Female, Male
Sex: Female, Male(Participants)SOLVE-ITWaitlist ControlTotal
Female000
Male444491935
Race/Ethnicity, Customized
Race/Ethnicity, Customized(participants)SOLVE-ITWaitlist ControlTotal
White/Caucasian338349687
Latino/Hispanic5576131
Black/African American5166117
Region of Enrollment
Region of Enrollment(participants)SOLVE-ITWaitlist ControlTotal
United States444491935
Counts of unprotected anal intercourse (UAI) past 3 months
Counts of unprotected anal intercourse (UAI) past 3 months(counts)SOLVE-ITWaitlist ControlTotal
Mean11.7 ± 12.512.5 ± 11.812.12 ± 12.14
Level of shame
Level of shame(units on a scale)SOLVE-ITWaitlist ControlTotal
Mean1.7 ± .771.7 ± .821.7 ± .80
08

Study locations

1 site
  • University of Southern California (University Village)
    Los Angeles, California 90007, United States
09

References and documents

Publications

  • 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.
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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 16, 2019, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT00653991
Lead sponsor
University of Southern California
Collaborators
National Institute of Mental Health (NIMH)
Responsible party
Lynn Miller (Study Principal Investigator, University of Southern California) — Principal investigator
First posted
Apr 7, 2008
Start date
Jun 2011
Primary completion
Oct 2012
Completion
May 2013
Results posted
Jul 16, 2019
Last update
Jul 16, 2019

Study contacts

Lynn C. Miller, PhD
principal investigator · University of Southern California

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

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