HIV Clinical Trial
Official title:
Efficacy Trial for a Smartphone Game to Prevent HIV Among Young Africans
Verified date | May 2024 |
Source | Emory University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This project, funded by the National Institute of Mental Health, will test the efficacy of an electronic game to prevent HIV among African adolescents (aged 12-17), delivered via inexpensive Android smartphones. This study involves a sample of 912 young people and 500 of their parents in Kenya's former Nyanza province, where 11.4% of young women and 3% of men ages 15-24 are HIV-infected. This study will be carried out by Emory University and the Kenya Medical Research Institute (KEMRI).
Status | Active, not recruiting |
Enrollment | 1000 |
Est. completion date | August 2025 |
Est. primary completion date | August 2025 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 12 Years to 14 Years |
Eligibility | Adolescents, male and female, aged 12-14 at recruitment in Kisumu Town, Kenya (n=912) Inclusion criteria: - Aged 12-14 at time of enrollment - Resident in Kisumu Town, Kenya - Having basic English literacy (Grade 3-4 on the Flesch-Kincaid Reading Scale, assessed via a short listening and reading comprehension test at enrollment) - Only one child per family - Not previously enrolled in formative research or pilot testing of intervention or survey instruments Exclusion criteria: - Aged <12 or >14 at time of enrollment - Not a resident of Kisumu Town, Kenya - Not having basic English literacy - Sibling to a child already enrolled in the study - Previously involved in formative research or pilot testing of intervention or survey instruments |
Country | Name | City | State |
---|---|---|---|
Kenya | Kenya Medical Research Institute | Kisumu |
Lead Sponsor | Collaborator |
---|---|
Emory University | Kenya Medical Research Institute, National Institute of Mental Health (NIMH) |
Kenya,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Age at first sex | Age at first sex encounter. | Up to month 46 | |
Primary | Percentage of participants reporting condom use at first sex | Percentage of participants reporting condom use at first sex | Up to month 46 | |
Primary | Binary Risk outcome of "risk" vs "low risk" | Binary outcome of "risk" group (experienced sexual debut during the study period without condom use at first sex) vs "low risk" group (not yet experienced sexual debut by the end of the study, or used a condom at sexual debut during the study period). | Up to month 46 | |
Primary | Change in percentage of participants reporting recent sexual activity | For participants reporting previous sexual intercourse, self-report of sexual intercourse since previous behavioral survey. | Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46 | |
Primary | Change in percentage of participants reporting recent condom use | For participants reporting recent sexual activity, self-report of consistent condom use since previous behavioral survey. | Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46 | |
Primary | Change in number of sexual partners | For participants reporting any past sexual activity, number of different sexual partners | Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46 | |
Primary | Change in percentage of participants with recent alcohol and drug use | Percentage of participants that report recent alcohol and drug use. | Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46 | |
Primary | Change in knowledge | Knowledge measures will be assessed via Yes/No survey questions and will address HIV, sexually transmitted infections (STIs), pregnancy, and condoms. Answers to knowledge questions will be coded as 0 or 1, with higher scores indicating more accurate knowledge. A positive value for the change from baseline score indicate an increase in knowledge from the baseline assessment. | Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46 | |
Primary | Change in self-efficacy | Self-efficacy will be assessed via a Likert scale, and focus on self-efficacy to use a condom correctly; to communicate with a partner about protected sex; to reject peer, partner, and adult pressure to engage in risk behaviors; and, for female participants, to manage menstruation. Self-efficacy will be scored on a 0-1 scale with higher scores indicating stronger self-efficacy. A positive value for the change from baseline score will indicate an increase in self-efficacy since the baseline assessment. | Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46 | |
Primary | Change in risk assessment | Risk assessment will be assessed via a Likert scale, and address perceived risk of certain risk situations/behaviors. Risk items will be scored on a 0-1 scale, with higher scores indicating higher risk assessment. A positive value for the change from baseline score will indicate an increase in assessing risky situations as risky. | Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46 | |
Primary | Change in attitudes | Attitudes will be assessed via Likert survey questions relating to puberty, HIV stigma, condoms, sex, and gender. Attitudes items will be scored on a 0-1 scale, with higher scores indicating more desirable attitudes. A positive value for the change from baseline score will indicate an increase in desirable attitudes. | Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46 | |
Primary | Change in behavioral intentions | Behavioral intention will be assessed via Likert survey questions. The measure will address intention to avoid risk situations and to engage in health protective behaviors. Behavioral intention items will be scored on a 0-1 scale with higher scores indicating more intention to partake in health protective behaviors and a positive value for the change from baseline score indicating an increase in intention to engage in health protective behaviors. | Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46 | |
Secondary | Total length of gameplay | Total time playing from game log files | Months 3,18, 28 | |
Secondary | Number of participants with new HSV-2 diagnosis | Incidence rates over the course of study of HSV-2 among uninfected participants will be compared by exposure to intervention using Poisson and/or Cox regression methods. | Months 1 and 46 | |
Secondary | Number of participants with new HIV diagnosis | Incidence rates over the course of study of HIV among uninfected participants will be compared by exposure to intervention using Poisson and/or Cox regression methods. | Months 1 and 46 |
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