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Factors associated with access to HIV care services in eastern Uganda: the Kumi home based HIV counseling and testing program experience

Overview of attention for article published in BMC Primary Care, November 2015
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Title
Factors associated with access to HIV care services in eastern Uganda: the Kumi home based HIV counseling and testing program experience
Published in
BMC Primary Care, November 2015
DOI 10.1186/s12875-015-0379-6
Pubmed ID
Authors

David Lubogo, John Bosco Ddamulira, Raymond Tweheyo, Henry Wamani

Abstract

The HIV/AIDS health challenge continues to ravage many resource-constrained countries of the world. Approximately 75 % of all the global HIV/AIDS related deaths totaling 1.6 (1.4-1.9) million in 2012 occurred in sub-Saharan Africa, Uganda contributed 63,000 (52,000-81,000) to these deaths. Most of the morbidity and mortality associated with HIV/AIDS can be averted if individuals with HIV/AIDS have improved access to HIV care and treatment. The aim of this study therefore, was to explore the factors associated with access to HIV care services among HIV seropositive clients identified by a home based HIV counseling and testing program in Kumi district, eastern Uganda. In a cross sectional study conducted in February 2009, we explored predictor variables: socio-demographics, health facility and community factors related to access to HIV care and treatment. The main outcome measure was reported receipt of cotrimoxazole for prophylaxis. The majority [81.1 % (284/350)] of respondents received cotrimoxazole prophylaxis (indicating access to HIV care). The main factors associated with access to HIV care include; age 25-34 years (AOR = 5.1, 95 % CI: 1.5-17.1), male sex (AOR = 2.3, 95 % CI: 1.2-4.4), urban residence (AOR = 2.5, CI: 1.1-5.9) and lack of family support (AOR = 0.5, CI: 0.2-0.9). There was relatively high access to HIV care and treatment services at health facilities for HIV positive clients referred from the Kumi home based HIV counseling and testing program. The factors associated with access to HIV care services include; age group, sex, residence and having a supportive family. Stakeholders involved in providing HIV care and treatment services in similar settings should therefore consider these socio-demographic variables as they formulate interventions to improve access to HIV care services.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 22%
Student > Bachelor 12 11%
Researcher 9 8%
Student > Postgraduate 6 5%
Student > Ph. D. Student 6 5%
Other 23 20%
Unknown 32 28%
Readers by discipline Count As %
Medicine and Dentistry 28 25%
Nursing and Health Professions 18 16%
Social Sciences 6 5%
Psychology 4 4%
Unspecified 4 4%
Other 16 14%
Unknown 37 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 November 2015.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from BMC Primary Care
#2,212
of 2,359 outputs
Outputs of similar age
#253,619
of 296,421 outputs
Outputs of similar age from BMC Primary Care
#42
of 47 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 296,421 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.