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Quantifying retention during pre-antiretroviral treatment in a large urban clinic in Uganda

Overview of attention for article published in BMC Infectious Diseases, July 2015
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Title
Quantifying retention during pre-antiretroviral treatment in a large urban clinic in Uganda
Published in
BMC Infectious Diseases, July 2015
DOI 10.1186/s12879-015-0957-1
Pubmed ID
Authors

Barbara Castelnuovo, Joseph Musaazi, Rachel Musomba, Rosalind Parkes Ratanshi, Agnes N. Kiragga

Abstract

Retention studies are usually focused on patients on antiretroviral treatment (ART), however in Sub-Saharan Africa many patients get lost to program (LTP) in the pre-ART care period.. We investigated the proportion of patients not retained in care and factors associated with LTP (dead or lost to follow up ≥6 months) in the pre-ART care period. We analyzed data from the Infectious Diseases Institute, Kampala, Uganda. We included all adult patients ≥18 years, ART naïve at program enrollment from 1(st)/Jan/2005. We described the number of patients not retained in care during the 3 steps of enrollment-to-treatment "cascade": Step 1) From enrollment to CD4 count testing, Step 2) ART eligibility assessment. Patients were initially considered eligible if CD4 count was <200 cell/μL, and <350 cell/μL from 2012 onwards; Step 3) From eligibility to ART start. We described cumulative probability of being LTP by gender and ART eligibility using Kaplan Meier estimates. We used a Cox proportional hazards model to identify factors associated with being LTP at any stage for all patients and for those with a CD4 count available. Factors considered were age, gender, year of enrollment, and WHO stage. After enrollment in our program, cumulatively, a low proportion of patients (30.8 %) were retained and started on ART. The cumulative probability of being LTP was higher in males and patients not eligible for ART. In the multivariable Cox proportional Hazards model, male gender (HR: 1.19 CI 1.12-1.19) and clinical WHO stage 3 and 4 (HR: 1.20 CI 1.13-1.27) were associated with being LTP while older age was protective (HR: 0.98 0.96-0.99). Patients enrolled in the program more recently were also at lower risk of being LTP. In addition, among patients with CD4 count test, patients with higher CD4 count were at higher risk of being LTP. In our program there has been suboptimal retention of patients in pre-ART care, particularly of patients not eligible for ART. Since the proportion of eligible patients has recently increased due to the higher recommended threshold for ART eligibility (CD4 count > 500 cell/μL in 2014), this could lead to an increase in program retention as more people fall under the recommended threshold and seek care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 22%
Student > Master 9 22%
Student > Ph. D. Student 6 15%
Other 3 7%
Librarian 2 5%
Other 7 17%
Unknown 5 12%
Readers by discipline Count As %
Medicine and Dentistry 16 39%
Nursing and Health Professions 8 20%
Social Sciences 4 10%
Engineering 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 10%
Unknown 6 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 July 2015.
All research outputs
#13,949,040
of 22,815,414 outputs
Outputs from BMC Infectious Diseases
#3,553
of 7,675 outputs
Outputs of similar age
#130,650
of 263,437 outputs
Outputs of similar age from BMC Infectious Diseases
#56
of 122 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,675 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 263,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.