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1.
medRxiv ; 2024 Jun 04.
Article in English | MEDLINE | ID: mdl-38883795

ABSTRACT

Background: Tanzania faces a significant burden of HIV, with particular challenges in reaching men and ensuring timely linkage to care. To address these issues, HIV self-testing (HIVST) has been implemented to increase HIV testing and the National HIV Hotlines are being considered as a strategy to facilitate linkage to care. This study aimed to assess the willingness of Tanzanian men to receive support from use the National HIV Hotline via mobile phones for HIVST and linkage to care. Methods: Data from 505 men from the baseline survey of a cluster-randomized controlled trial conducted in June 2019 with 18 social networks or "camps" in Dar es Salaam, Tanzania. Participants were 18-year-old or older male camp members who were HIV-negative at the time of enrolment. Logistic regression models were used to assess factors associated with men's comfort with talking with an HIV counselor over the phone. Results: There were 505 heterosexual male participants enrolled in the study with an average age of 29 years. Logistic regression demonstrated that comfortability texting a friend about HIV self-testing (OR =3.37, 95% CI [1.97 - 5.76], being comfortable texting a friend about HIV (OR = 3.84, 95% CI [2.20 - 6.72], previous history of receiving HIV related text messages (aOR = 0.55, 95% CI [0.31 - 0.99] were significantly associated with men's s comfortability talking to a HIV counselor on the National HIV Hotline following HIVST. The factors such as participants' comfortability texting friend about HIVST (OR = 2.52, 95% CI [1.49 - 4.25]) and comfortability texting friend about HIV (OR = 2.96, 95% CI [1.83 - 4.80] were significantly associated with the probability of participant's comfortability receiving text message from HIV counselor following HIVST. Conclusion: These findings suggest an effort to develop and implement a user-friendly digital health intervention that promote comfortability, address private concerns, and deliver tailored support and information to individuals following HIV self-testing.

2.
Article in English | MEDLINE | ID: mdl-32873598

ABSTRACT

Differentiated service delivery (DSD) models for HIV often exclude children and adolescents. Given that children and adolescents have lower rates of HIV diagnosis, treatment and viral load suppression, there is a need to use DSD to meet the needs of children and adolescents living with HIV. This commentary reviews the concept of DSD, examines the application of DSD to the care of children and adolescents living with HIV, and describes national guidance on use of DSD for children and adolescents and implementation of DSD for HIV care and treatment in children and adolescents in Elizabeth Glaser Pediatric AIDS Foundation (EGPAF)-supported programmes in seven sub-Saharan countries between 2017 and 2019. Programme descriptions include eligibility criteria, location and frequency of care delivery, healthcare cadre delivering the care, as well as the number of EGPAF-supported facilities supporting each type of DSD model. A range of DSD models were identified. While facility-based models predominate, several countries support community-based models. Despite significant uptake of various DSD models for children and adolescents, there was variable coverage within countries and variability in age criteria for each model. While the recent uptake of DSD models for children and adolescents suggests feasibility, more can be done to optimise and extend the use of DSD models for children and adolescents living with HIV. Barriers to further DSD uptake are described and solutions proposed. DSD models for children and adolescents are a critical tool that can be optimised to improve the quality of HIV care and outcomes for children and adolescents.


Subject(s)
Delivery of Health Care/organization & administration , HIV Infections/therapy , Health Services Needs and Demand , Models, Organizational , Adolescent , Africa South of the Sahara , Anti-Retroviral Agents/therapeutic use , Child , Health Policy , Humans , Viral Load
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