A tool for predicting loss-to-follow-up among people living with HIV at Busia border

dc.contributor.authorJuma, Denice O
dc.date.accessioned2025-11-15T14:42:57Z
dc.date.issued2017
dc.description.abstractHuman Immuno-Deficiency Virus (HIV) and Acquired Immune Deficiency Syndrome (AIDS) are a global emergency. Infection with HIV can lead to poor health, loss of lives, increased number of orphans and reduced national productivity. In Kenya and Uganda, National AIDS & STI Control Programme (NASCOP) and the Uganda AIDS Commission (UAC) respectively are promoting combination of approaches for HIV prevention with the key populations. Studies have revealed that 1.5 million people live with HIV with a 5.9% adult HIV prevalence. There are an estimated 78,000 new HIV infections with 36,000 aids related deaths and 59% adults on antiretroviral treatment (AVERT 2016). Complex socio-cultural, economic, and health-system factors inhibit excellent patient retention. Better tracking, enhanced social support, and regular adherence counseling in addressing stigma, and alternative healing options are needed. Intervention strategies aimed at changing clinic routines and improving patient–provider communication could address many of the identified barriers (Tiruneh et al. 2016). The objective of the study is to develop a tool to predict possible loss-to-follow-up among mobile people living with HIV/AIDS enrolled in care and treatment at the Busia border.
dc.identifier.urihttp://192.168.8.146:4000/handle/123456789/842
dc.language.isoen
dc.publisherkca university
dc.titleA tool for predicting loss-to-follow-up among people living with HIV at Busia border
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Juma-A Tool For Predicting Loss-to-follow-up Among People Living With Hiv At Busia Border.pdf
Size:
4.65 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: