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A comparision of the yield of three tuberculosis screening modalities among people living with HIV: a retrospective quasi-experiemental study

Overview of attention for article published in BMC Public Health, October 2016
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Title
A comparision of the yield of three tuberculosis screening modalities among people living with HIV: a retrospective quasi-experiemental study
Published in
BMC Public Health, October 2016
DOI 10.1186/s12889-016-3763-9
Pubmed ID
Authors

Michael Kakinda, Joseph K. B. Matovu, Ekwaro A. Obuku

Abstract

The Intensified Case Finding (ICF) tool was approved for TB screening in 2011; however there is still paucity of robust data comparing yields of the different ICF screening modalities. We compared yields of three different screening modalities for TB among Patients Living with HIV (PLHIV) in Uganda in order to inform National TB Programs on the most effective TB screening method. This was a retrospective quasi-experimental study conducted at an Out-Patient HIV/AIDS clinic in Uganda. We set out to determine yields of three different TB screening modalities at three time periods: 2006/07 where Passive Case Finding (PCF) was used. Here, no screening questions were administered; the clinician depended on the patient's self report. In 2008/09 embedded Intensified Case Finding Tool (e-ICF) was used; here a data capture field was added to the patient clinical encounter forms to compel clinicians to screen for TB symptoms. In 2010/11 Independent Intensified Case Finding Tool (i-ICF) was used; here a screening data collection form, was used, it had the same screening questions as e-ICF. Routine clinical data, including TB status, were collected and entered into an electronic clinical care database. Analysis was done in STATA and the main outcome estimated was the proportional yield of TB cases for each screening modality. The overall yield of TB cases was 11.18 % over the entire period of the study (2006 - 2011). The intervention-specific yields were 1.86 % for PCF, 14.95 % for e-ICF and 12.47 % for i-ICF. Use of either e-ICF (OR: 9.2, 95 % CI: 4.81-17.73) or i- ICF (OR: 7.7, 95 % CI: 4.02-14.78) significantly detected more TB cases compared to PCF (P <0.001). While the yields of the Active Case Finding modalities (e-ICF & i-ICF) were not significantly different (OR: 0.98, 95 % CI 0.76-1.27, P = 0.89). The active screening modalities (e-ICF & i-ICF) had a comparable TB yield and were eight to nine times more efficient in identifying TB cases when compared to the PCF. Cost effectiveness studies would be informative.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Master 11 19%
Student > Bachelor 5 9%
Student > Ph. D. Student 4 7%
Lecturer 3 5%
Other 8 14%
Unknown 15 26%
Readers by discipline Count As %
Medicine and Dentistry 20 35%
Nursing and Health Professions 7 12%
Social Sciences 2 4%
Immunology and Microbiology 2 4%
Environmental Science 1 2%
Other 7 12%
Unknown 18 32%
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 07 November 2016.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from BMC Public Health
#13,336
of 17,508 outputs
Outputs of similar age
#211,208
of 325,687 outputs
Outputs of similar age from BMC Public Health
#188
of 244 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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We're also able to compare this research output to 244 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.