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Effect of late HIV diagnosis on HIV-related mortality among adults in general hospitals of Central Zone Tigray, northern Ethiopia: a retrospective cohort study

Overview of attention for article published in HIV/AIDS (Auckland, N.Z.), September 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 tweeters
googleplus
1 Google+ user

Citations

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1 Dimensions

Readers on

mendeley
22 Mendeley
Title
Effect of late HIV diagnosis on HIV-related mortality among adults in general hospitals of Central Zone Tigray, northern Ethiopia: a retrospective cohort study
Published in
HIV/AIDS (Auckland, N.Z.), September 2017
DOI 10.2147/hiv.s141895
Pubmed ID
Authors

Hadera Belay, Fessahaye Alemseged, Teklit Angesom, Solomon Hintsa, Mebrahtu Abay

Abstract

The global incidence of HIV infection is not significantly decreasing, especially in sub-Saharan African countries, including Ethiopia. Though there is availability and accessibility of free HIV services, people are not being diagnosed early for HIV, and hence patients are still dying of HIV-related causes. This research is aimed at verifying the effect of late diagnosis of HIV on HIV-related mortality in Central Zone Tigray, Ethiopia. A retrospective cohort study among adult (≥15 years old) HIV patients in three general hospitals of Tigray was conducted. Record reviews were carried out retrospectively from 2010 to 2015. Sample size was determined using stpower Cox in Stata software. Data were entered into EpiData version 3.1 software and transferred to Stata version 12 for analysis. Both bivariable and multivariable analyses were performed using Cox regression model to compare the HIV-related mortality of exposed (cluster of differentiation 4 cells count <350 cells/mm(3)) and nonexposed (≥350 cells/mm(3)) patients using adjusted hazard ratio (AHR) at 95% confidence interval (CI). In all, 638 HIV patients were analyzed, contributing 2,105.6 person-years. Forty-eight (7.5%) patients died of HIV-related causes with a mortality rate of 2.28 per 100 person-years. In the multivariable Cox regression model, patients with late diagnosis of HIV had a higher risk of mortality (AHR =3.22, 95% CI: 1.17-8.82) than patients with early diagnosis of HIV. Rural residence (AHR =1.96, 95% CI: 1.05-3.68), unemployment (AHR =2.70, 95% CI: 1.03-7.08), bedridden patients (AHR =2.98, 95% CI: 1.45-6.13), ambulatory patients (AHR =2.54, 95% CI: 1.05-6.15), and baseline hemoglobin level of <11 mg/dL (AHR =3.06, 95% CI: 1.51-6.23) were other independent predictors of mortality. Late diagnosis of HIV increased HIV-related mortality. Rural residence, unemployment, bedridden and ambulatory patients, and baseline hemoglobin level <11 mg/dL were also independent predictors of HIV-related mortality.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 27%
Student > Master 5 23%
Lecturer > Senior Lecturer 2 9%
Researcher 2 9%
Student > Ph. D. Student 1 5%
Other 0 0%
Unknown 6 27%
Readers by discipline Count As %
Medicine and Dentistry 9 41%
Nursing and Health Professions 5 23%
Social Sciences 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Engineering 1 5%
Other 0 0%
Unknown 5 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 November 2017.
All research outputs
#6,400,034
of 12,093,596 outputs
Outputs from HIV/AIDS (Auckland, N.Z.)
#53
of 145 outputs
Outputs of similar age
#108,986
of 269,303 outputs
Outputs of similar age from HIV/AIDS (Auckland, N.Z.)
#3
of 5 outputs
Altmetric has tracked 12,093,596 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 145 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 62% 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 269,303 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.