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Relationship between CD4 count and quality of life over time among HIV patients in Uganda: a cohort study

Overview of attention for article published in Health and Quality of Life Outcomes, September 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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6 X users
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1 Facebook page

Citations

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155 Mendeley
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Title
Relationship between CD4 count and quality of life over time among HIV patients in Uganda: a cohort study
Published in
Health and Quality of Life Outcomes, September 2015
DOI 10.1186/s12955-015-0332-3
Pubmed ID
Authors

Doris Mutabazi Mwesigire, Faith Martin, Janet Seeley, Achilles Katamba

Abstract

Immunological markers (CD4 count) are used in developing countries to decide on initiation of antiretroviral therapy and monitor HIV/AIDS disease progression. HIV is an incurable chronic illness, making quality of life paramount. The direct relationship between quality of life and CD4 count is unclear. The purpose of this study is to determine the relationship between change in CD4 count and quality of life measures in a Ugandan cohort of people living with HIV. We prospectively assessed quality of life among 1274 HIV patients attending an HIV clinic within a national referral hospital over a period of 6 months. Quality of life was measured using an objective measure, the Medical Outcomes Study HIV health survey summarized as Physical Health Score and Mental Health Score and a subjective measure, the Global Person Generated Index. Generalized estimating equations were used to analyze the data. The primary predictor variable was change in CD4 count, and the outcome was quality of life scores. We controlled for sociodemographic characteristics, clinical factors and behavioral factors. Twenty in-depth interviews were conducted to assess patient perception of quality of life and factors influencing quality of life. Of the 1274 patients enrolled 1159 had CD4 count at baseline and six months and 586 (51 %) received antiretroviral therapy. There was no association found between change in CD4 count and quality of life scores at univariate and multivariate analysis among the study participants whether on or not on antiretroviral therapy. Participants perceived quality of life as happiness and well-being, influenced by economic status, psychosocial factors, and health status. Clinicians and policy makers cannot rely on change in immunological markers to predict quality of life in this era of initiating antiretroviral therapy among relatively healthy patients. In addition to monitoring immunological markers, socioeconomic and psychosocial factors should be underscored in management of HIV patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Tanzania, United Republic of 1 <1%
Unknown 154 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 21%
Student > Bachelor 19 12%
Researcher 16 10%
Student > Ph. D. Student 14 9%
Student > Postgraduate 13 8%
Other 27 17%
Unknown 34 22%
Readers by discipline Count As %
Medicine and Dentistry 45 29%
Nursing and Health Professions 17 11%
Psychology 16 10%
Agricultural and Biological Sciences 6 4%
Social Sciences 5 3%
Other 26 17%
Unknown 40 26%
Attention Score in Context

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 10 October 2015.
All research outputs
#13,213,964
of 22,828,180 outputs
Outputs from Health and Quality of Life Outcomes
#998
of 2,158 outputs
Outputs of similar age
#123,240
of 268,887 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#11
of 59 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 52% 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 268,887 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 53% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.