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Patterns of HIV, TB, and non-communicable disease multi-morbidity in peri-urban South Africa- a cross sectional study

Overview of attention for article published in BMC Infectious Diseases, January 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
policy
1 policy source
twitter
2 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
156 Dimensions

Readers on

mendeley
400 Mendeley
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Title
Patterns of HIV, TB, and non-communicable disease multi-morbidity in peri-urban South Africa- a cross sectional study
Published in
BMC Infectious Diseases, January 2015
DOI 10.1186/s12879-015-0750-1
Pubmed ID
Authors

Tolu Oni, Elizabeth Youngblood, Andrew Boulle, Nuala McGrath, Robert J Wilkinson, Naomi S Levitt

Abstract

BackgroundMany low and middle-income countries are experiencing colliding epidemics of chronic infectious (ID) and non-communicable diseases (NCD). As a result, the prevalence of multiple morbidities (MM) is rising.MethodsWe conducted a study to describe the epidemiology of MM in a primary care clinic in Khayelitsha. Adults with at least one of HIV, tuberculosis (TB), diabetes (DM), and hypertension (HPT) were identified between Sept 2012-May 2013 on electronic databases. Using unique patient identifiers, drugs prescribed across all facilities in the province were linked to each patient and each drug class assigned a condition.ResultsThese 4 diseases accounted for 45% of all prescription visits. Among 14364 chronic disease patients, HPT was the most common morbidity (65%). 22.6% of patients had MM, with an increasing prevalence with age; and a high prevalence among younger antiretroviral therapy (ART) patients (26% and 30% in 18-35 yr and 36¿45 year age groups respectively). Among these younger ART patients with MM, HPT and DM prevalence was higher than in those not on ART.ConclusionsWe highlight the co-existence of multiple ID and NCD. This presents both challenges (increasing complexity and the impact on health services, providers and patients), and opportunities for chronic diseases screening in a population linked to care. It also necessitates re-thinking of models of health care delivery and requires policy interventions to integrate and coordinate management of co-morbid chronic diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 400 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Tanzania, United Republic of 1 <1%
Brazil 1 <1%
Unknown 397 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 77 19%
Researcher 66 17%
Student > Ph. D. Student 53 13%
Student > Postgraduate 29 7%
Student > Bachelor 26 7%
Other 69 17%
Unknown 80 20%
Readers by discipline Count As %
Medicine and Dentistry 121 30%
Nursing and Health Professions 46 12%
Social Sciences 36 9%
Agricultural and Biological Sciences 20 5%
Psychology 12 3%
Other 69 17%
Unknown 96 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 16 August 2023.
All research outputs
#1,046,344
of 24,216,270 outputs
Outputs from BMC Infectious Diseases
#236
of 8,102 outputs
Outputs of similar age
#14,675
of 360,523 outputs
Outputs of similar age from BMC Infectious Diseases
#4
of 191 outputs
Altmetric has tracked 24,216,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,102 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 97% 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 360,523 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.