Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
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Function: require_once
Background: HIV risk perception is an important cognition for prevention, theoretically engendering service-seeking and risk-reduction behaviors, but its composition remains poorly understood. We examined country-specific correlates of self-appraised HIV exposure risk among sexually active adolescent girls and young women (AGYW, aged 15-24 years) without HIV in Kenya, Malawi, and Zambia. We also explored overlaps between self-appraised HIV exposure risk and pre-exposure prophylaxis (PrEP) eligibility to identify engagement opportunities.
Methods: We analyzed cross-sectional data (2016/2017) to estimate sexual-related correlates of self-appraised HIV exposure risk (likely vs. not, temporally framed as "ever") using log-Poisson models with robust standard errors. For sexual-related factors with an unadjusted p ≤ 0.10, individual adjusted models were fitted, controlling for sociodemographic and cognitive factors with an unadjusted p ≤ 0.10. PrEP eligibility was defined using national guidelines; since conditional criteria are in Malawi's (age-disparate sex + ever-pregnant) and Zambia's (multiple partners + condomless sex) guidelines, we also assessed PrEP eligibility after decoupling these factors.
Results: Few AGYW reported likely HIV exposures (Kenya [N = 746]: 15.7%, Malawi [N = 1348]: 46.2%, Zambia [N = 349]: 9.5%) despite ubiquitous HIV risk (98.7%, 99.8%, and 98.9% of Kenyan, Malawian, and Zambian AGYW reported ≥ 1 sexual-related factor). However, the adjusted models found some actual-perceived risk concordance. Positive correlates of self-appraised likely HIV exposures included partner(s)' likely HIV exposure (all countries); partner(s)' unknown HIV status and other partners (Kenya, Malawi); STI symptoms and partner(s) living outside the community (Kenya); non-partner sexual violence (Zambia); and transactional sex, multiple partners, pre-coital alcohol use, and physical/sexual intimate partner violence (Malawi). Per national guidelines, PrEP eligibility criteria differentially identified HIV risk (Kenya: 93.6%, Malawi: 53.3%, Zambia: 44.6%), and self-appraised likely HIV exposures were low among PrEP-eligible AGYW (Kenya: 16.5%, Malawi: 48.5%, Zambia: 18.8%). Decoupling Malawi's and Zambia's conditional PrEP criteria could increase risk identification to > 85% and potential engagement by ~ 70% and ~ 30%, respectively.
Conclusions: AGYW's HIV risk perceptions were mostly influenced by factors beyond their locus of control. Conditional PrEP eligibility criteria may inhibit AGYW's access and uptake in some settings: countries should consider decoupling these factors to minimize barriers. Intersections between autonomy, behaviors, and perceptions among AGYW in gender-inequitable settings warrants further investigation.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11470662 | PMC |
http://dx.doi.org/10.1186/s12889-024-20276-4 | DOI Listing |
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