Validation of a model for predicting HIV pre-exposure prophylaxis uptake: a study protocol
IntroductionBy 2023, HIV will have claimed 40.4 million lives, posing a significant global public health risk, with youth at the highest risk of new infections. Pre-exposure prophylaxis (PrEP) reduces HIV transmission by 48.9% when combined with other prevention strategies. Despite increased PrEP pr...
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Tropical Diseases |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fitd.2025.1571116/full |
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| author | Elizabeth Nailantei Kileku Joseph Sitienei Morris Senghor Shisanya Nyawira Gitahi |
| author_facet | Elizabeth Nailantei Kileku Joseph Sitienei Morris Senghor Shisanya Nyawira Gitahi |
| author_sort | Elizabeth Nailantei Kileku |
| collection | DOAJ |
| description | IntroductionBy 2023, HIV will have claimed 40.4 million lives, posing a significant global public health risk, with youth at the highest risk of new infections. Pre-exposure prophylaxis (PrEP) reduces HIV transmission by 48.9% when combined with other prevention strategies. Despite increased PrEP programs in sub-Saharan Africa since 2015, uptake remains low due to various barriers. This study aims to validate a model identifying demographic, economic, social, behavioral, and structural factors influencing PrEP use in Turbo Sub-County, where uptake is among the lowest.MethodsThe study will employ a descriptive cross-sectional design using both quantitative and qualitative methods to gather data from youths aged 15–24 in Turbo Sub-County. Participants will be selected through multistage random sampling based on Wards and villages. Data will be collected via self-administered questionnaires, interviews, and Focus Group Discussions (FGDs). Analysis will include thematic methods for qualitative data and Structural Equation Modeling (SEM) will be used to validate the relationships predicting PrEP uptake at 95% confidence intervals and α < 0.05.ResultsThe study is expected to provide insights into factors influencing PrEP uptake among youths in Turbo Sub-County. The validated model will highlight key demographic, economic, and behavioral determinants, offering actionable data for enhancing HIV prevention strategies tailored to this population.DiscussionThe discussion will interpret the interplay of factors affecting PrEP uptake and compare findings with regional studies. It will emphasize community-specific barriers and enablers, informing targeted interventions and strategies to improve PrEP accessibility and acceptance.ConclusionsThe study aims to provide a validated framework for predicting PrEP uptake, guiding stakeholders in addressing barriers and strengthening interventions. The findings will support optimizing PrEP programs to reduce HIV transmission among at-risk youth. |
| format | Article |
| id | doaj-art-2aa062598fa1464a8a6db604b225806f |
| institution | OA Journals |
| issn | 2673-7515 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Tropical Diseases |
| spelling | doaj-art-2aa062598fa1464a8a6db604b225806f2025-08-20T02:03:16ZengFrontiers Media S.A.Frontiers in Tropical Diseases2673-75152025-06-01610.3389/fitd.2025.15711161571116Validation of a model for predicting HIV pre-exposure prophylaxis uptake: a study protocolElizabeth Nailantei Kileku0Joseph Sitienei1Morris Senghor Shisanya2Nyawira Gitahi3Field Epidemiology and Laboratory Training Program, Moi University/Center for Disease Control and Prevention (CDC), Eldoret, KenyaMinistry of Health, Directorate of Health Policy, Monitoring and Evaluation, Nairobi, KenyaSchool of Nursing, Kibabii University, Bungoma, KenyaMoi University, Department of Epidemiology and Medical Statistics, School of Public Health, Eldoret, KenyaIntroductionBy 2023, HIV will have claimed 40.4 million lives, posing a significant global public health risk, with youth at the highest risk of new infections. Pre-exposure prophylaxis (PrEP) reduces HIV transmission by 48.9% when combined with other prevention strategies. Despite increased PrEP programs in sub-Saharan Africa since 2015, uptake remains low due to various barriers. This study aims to validate a model identifying demographic, economic, social, behavioral, and structural factors influencing PrEP use in Turbo Sub-County, where uptake is among the lowest.MethodsThe study will employ a descriptive cross-sectional design using both quantitative and qualitative methods to gather data from youths aged 15–24 in Turbo Sub-County. Participants will be selected through multistage random sampling based on Wards and villages. Data will be collected via self-administered questionnaires, interviews, and Focus Group Discussions (FGDs). Analysis will include thematic methods for qualitative data and Structural Equation Modeling (SEM) will be used to validate the relationships predicting PrEP uptake at 95% confidence intervals and α < 0.05.ResultsThe study is expected to provide insights into factors influencing PrEP uptake among youths in Turbo Sub-County. The validated model will highlight key demographic, economic, and behavioral determinants, offering actionable data for enhancing HIV prevention strategies tailored to this population.DiscussionThe discussion will interpret the interplay of factors affecting PrEP uptake and compare findings with regional studies. It will emphasize community-specific barriers and enablers, informing targeted interventions and strategies to improve PrEP accessibility and acceptance.ConclusionsThe study aims to provide a validated framework for predicting PrEP uptake, guiding stakeholders in addressing barriers and strengthening interventions. The findings will support optimizing PrEP programs to reduce HIV transmission among at-risk youth.https://www.frontiersin.org/articles/10.3389/fitd.2025.1571116/fullHIV prevention and controlvalidated modelpre-exposure prophylaxis (PrEP)Structural Equation Modeling (SEM)Kenya |
| spellingShingle | Elizabeth Nailantei Kileku Joseph Sitienei Morris Senghor Shisanya Nyawira Gitahi Validation of a model for predicting HIV pre-exposure prophylaxis uptake: a study protocol Frontiers in Tropical Diseases HIV prevention and control validated model pre-exposure prophylaxis (PrEP) Structural Equation Modeling (SEM) Kenya |
| title | Validation of a model for predicting HIV pre-exposure prophylaxis uptake: a study protocol |
| title_full | Validation of a model for predicting HIV pre-exposure prophylaxis uptake: a study protocol |
| title_fullStr | Validation of a model for predicting HIV pre-exposure prophylaxis uptake: a study protocol |
| title_full_unstemmed | Validation of a model for predicting HIV pre-exposure prophylaxis uptake: a study protocol |
| title_short | Validation of a model for predicting HIV pre-exposure prophylaxis uptake: a study protocol |
| title_sort | validation of a model for predicting hiv pre exposure prophylaxis uptake a study protocol |
| topic | HIV prevention and control validated model pre-exposure prophylaxis (PrEP) Structural Equation Modeling (SEM) Kenya |
| url | https://www.frontiersin.org/articles/10.3389/fitd.2025.1571116/full |
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