HIV-Prevention Smartphone Game Trial
Efficacy Trial for a Smartphone Game to Prevent HIV Among Young Africans
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
The 912 study participants (youth ages 12-14) will be randomized to the intervention or control arm upon completion of the baseline survey. The assignments will be generated with the use of a pseudo-random-number generator with permuted blocks, used to ensure a sex-balanced and age-balanced assignment to each arm. All participants will be given a low-cost (<$40) Android phone on which the study game will be loaded. Intervention arm phones will have app for Tumaini programmed on them, while control arm phones will have a commercially available game to be determined prior to the start of the randomized clinical trial. Preference will be given to a game or other app with educational content, for example, a general knowledge quiz or strategy game. Each app will be standalone and not require data access or connection to the Internet to function. All participants will be invited to play their assigned game for at least 10 hours during the November-December school holiday. While we anticipate that access to smartphones will be widespread at time of roll-out of an efficacious game, this is not yet the case: for the purposes of this study, phones need to be provided in order to ensure consistency of technology and avoid SES bias. All other phone functions aside from the alarm, will be disabled for safety reasons. The game will automatically record the time spent playing and the choices made in the context of gameplay. When returning the phones, all participants will be asked to fill out a form identifying others with whom the game or app was shared and creators of each profile on their study phones.
In line with the preferences expressed by parents during the feasibility test, the phones will be provided to participants during the long November-December school holidays and collected at the end of the holiday. Providing there is no evidence of contamination, participants will (a) keep the phone throughout the long November-December school holiday; and (b) receive the phone, loaded with the game, again during the November-December holidays of the following years.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Kisumu, Kenya
- Kenya Medical Research Institute
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: Intervention Arm
Adolescents participants enrolled in the intervention arm will receive the intervention, Tumaini, loaded on a low-cost Android smartphone, during the long November-December school holidays for the first three years of the study.
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Tumaini is a scenario-based role-playing game application.
Participants will be instructed to engage in a minimum of 10 hours of gameplay over the holiday period each year.
The game will automatically collect for analysis data related to participants' in-game behavior, e.g.
time spent playing, scores on knowledge-based mini-games, choices made in the narrative game, components to which the player was exposed.
The game is designed to: educate players about sexual health and HIV/AIDS; build risk-reduction skills and related self-efficacy for prevention of HIV/STIs and unintended pregnancy; challenge HIV stigma; and promote parent-child dialogue.
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Active Comparator: Control Arm
Adolescent participants enrolled in the control arm will receive a commercially available age- and language-appropriate educational game or knowledge quiz loaded on a study-provided low-cost Android smartphone.
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Independent gameplay of control game.
Total respondent burden: participants will be invited to engage in at least 10 hours of gameplay during each long school holiday (November-December).
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Age at first sex
Time Frame: Up to month 46
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Age at first sex encounter.
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Up to month 46
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Percentage of participants reporting condom use at first sex
Time Frame: Up to month 46
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Percentage of participants reporting condom use at first sex
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Up to month 46
|
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Binary Risk outcome of "risk" vs "low risk"
Time Frame: Up to month 46
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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).
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Up to month 46
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Change in percentage of participants reporting recent sexual activity
Time Frame: Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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For participants reporting previous sexual intercourse, self-report of sexual intercourse since previous behavioral survey.
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Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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Change in percentage of participants reporting recent condom use
Time Frame: Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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For participants reporting recent sexual activity, self-report of consistent condom use since previous behavioral survey.
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Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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Change in number of sexual partners
Time Frame: Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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For participants reporting any past sexual activity, number of different sexual partners
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Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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Change in percentage of participants with recent alcohol and drug use
Time Frame: Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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Percentage of participants that report recent alcohol and drug use.
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Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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Change in knowledge
Time Frame: Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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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.
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Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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Change in self-efficacy
Time Frame: Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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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.
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Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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Change in risk assessment
Time Frame: Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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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.
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Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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Change in attitudes
Time Frame: Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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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.
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Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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Change in behavioral intentions
Time Frame: Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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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.
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Months 1, 3, 6, 9, 12, 17, 22, 25, 30, 34, 37, 42, 46
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Total length of gameplay
Time Frame: Months 3,18, 28
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Total time playing from game log files
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Months 3,18, 28
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Number of participants with new HSV-2 diagnosis
Time Frame: Months 1 and 46
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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.
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Months 1 and 46
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Number of participants with new HIV diagnosis
Time Frame: Months 1 and 46
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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.
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Months 1 and 46
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Kate Winskell, PhD, Emory University
Publications and helpful links
General Publications
- Mudhune V, Sabben G, Ondenge K, Mbeda C, Morales M, Lyles RH, Arego J, Ndivo R, Bednarczyk RA, Komro K, Winskell K. The Efficacy of a Smartphone Game to Prevent HIV Among Young Africans: Protocol for a Randomized Controlled Trial in the Context of COVID-19. JMIR Res Protoc. 2022 Mar 3;11(3):e35117. doi: 10.2196/35117.
- Mudhune V, Winskell K, Bednarczyk RA, Ondenge K, Mbeda C, Kerubo E, Ndivo R, Arego J, Morales M, Halliburton B, Sabben G. Sexual behaviour among Kenyan adolescents enrolled in an efficacy trial of a smartphone game to prevent HIV: a cross-sectional analysis of baseline data. SAHARA J. 2024 Dec;21(1):2320188. doi: 10.1080/17290376.2024.2320188. Epub 2024 Feb 22.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- IRB00108404
- 1R01MH118982-01 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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