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

23. juni 2019 opdateret af: Lynn Miller, University of Southern California

SOLVE IT: Real Risk Reduction for MSM

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.

Studieoversigt

Status

Afsluttet

Betingelser

Intervention / Behandling

Detaljeret beskrivelse

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.

Undersøgelsestype

Interventionel

Tilmelding (Faktiske)

2020

Fase

  • Ikke anvendelig

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiesteder

    • California
      • Los Angeles, California, Forenede Stater, 90007
        • University of Southern California (University Village)

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

18 år til 24 år (Voksen)

Tager imod sunde frivillige

Ingen

Køn, der er berettiget til at studere

Han

Beskrivelse

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

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Primært formål: Forebyggelse
  • Tildeling: Randomiseret
  • Interventionel model: Parallel tildeling
  • Maskning: Ingen (Åben etiket)

Våben og indgreb

Deltagergruppe / Arm
Intervention / Behandling
Eksperimentel: 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).
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.
Andre navne:
  • Socially Optimized Learning in Virtual Environments
Aktiv komparator: 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.
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.
Andre navne:
  • Socially Optimized Learning in Virtual Environments

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Residualized Change in Counts of Unprotected Anal Intercourse at 3 Months
Tidsramme: Measured at baseline and 3 month follow-up
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.
Measured at baseline and 3 month follow-up
Residualized Change in Counts of Unprotected Anal Intercourse at 6 Months
Tidsramme: Measured at baseline and 6 month follow-up
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.
Measured at baseline and 6 month follow-up

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Shame Residualized Change
Tidsramme: Measured at baseline and Immediate post
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.
Measured at baseline and Immediate post

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Efterforskere

  • Ledende efterforsker: Lynn C. Miller, PhD, University of Southern California

Publikationer og nyttige links

Den person, der er ansvarlig for at indtaste oplysninger om undersøgelsen, leverer frivilligt disse publikationer. Disse kan handle om alt relateret til undersøgelsen.

Generelle publikationer

  • 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.

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart

1. juni 2011

Primær færdiggørelse (Faktiske)

1. oktober 2012

Studieafslutning (Faktiske)

1. maj 2013

Datoer for studieregistrering

Først indsendt

3. april 2008

Først indsendt, der opfyldte QC-kriterier

3. april 2008

Først opslået (Skøn)

7. april 2008

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

16. juli 2019

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

23. juni 2019

Sidst verificeret

1. juni 2019

Mere information

Begreber relateret til denne undersøgelse

Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter

Studerer et amerikansk FDA-reguleret lægemiddelprodukt

Ingen

Studerer et amerikansk FDA-reguleret enhedsprodukt

Ingen

produkt fremstillet i og eksporteret fra U.S.A.

Ingen

Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .

Kliniske forsøg med HIV-infektioner

Kliniske forsøg med SOLVE-IT

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