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A combination SMS and transportation reimbursement intervention to improve HIV care following abnormal CD4 test results in rural Uganda: a prospective observational cohort study

Overview of attention for article published in BMC Medicine, July 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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14 X users
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1 Facebook page

Citations

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45 Dimensions

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207 Mendeley
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Title
A combination SMS and transportation reimbursement intervention to improve HIV care following abnormal CD4 test results in rural Uganda: a prospective observational cohort study
Published in
BMC Medicine, July 2015
DOI 10.1186/s12916-015-0397-1
Pubmed ID
Authors

Mark J. Siedner, Data Santorino, Alexander J. Lankowski, Michael Kanyesigye, Mwebesa B. Bwana, Jessica E. Haberer, David R. Bangsberg

Abstract

Up to 50 % of HIV-infected persons in sub-Saharan Africa are lost from care between HIV diagnosis and antiretroviral therapy (ART) initiation. Structural barriers, including cost of transportation to clinic and poor communication systems, are major contributors. We conducted a prospective, pragmatic, before-and-after clinical trial to evaluate a combination mobile health and transportation reimbursement intervention to improve care at a publicly operated HIV clinic in Uganda. Patients undergoing CD4 count testing were enrolled, and clinicians selected a result threshold that would prompt early return for ART initiation or further care. Participants enrolled in the pre-intervention period (January - August 2012) served as a control group. Participants in the intervention period (September 2012 - November 2013) were randomized to receive daily short message service (SMS) messages for up to seven days in one of three formats: 1) messages reporting an abnormal result directly, 2) personal identification number-protected messages reporting an abnormal result, or 3) messages reading "ABCDEFG" to confidentially convey an abnormal result. Participants returning within seven days of their first message received transportation reimbursements (about $6USD). Our primary outcomes of interest were time to return to clinic and time to ART initiation. There were 45 participants in the pre-intervention period and 138 participants in the intervention period (46, 49, and 43 in the direct, PIN, and coded groups, respectively) with low CD4 count results. Median time to clinic return was 33 days (IQR 11-49) in the pre-intervention period and 6 days (IQR 3-16) in the intervention period (P < 0.001); and median time to ART initiation was 47 days (IQR 11-75) versus 12 days (IQR 5-19), (P < 0.001). In multivariable models, participants in the intervention period had earlier return to clinic (AHR 2.32, 95 %CI 1.53 to 3.51) and earlier time to ART initiation (AHR 2.27, 95 %CI 1.38 to 3.72). All three randomized message formats improved time to return to clinic and time to ART initiation (P < 0.01 for all comparisons versus the pre-intervention period). A combination of an SMS laboratory result communication system and transportation reimbursements significantly decreased time to clinic return and time to ART initiation after abnormal CD4 test results. Clinicaltrials.gov NCT01579214 , approved 13 April 2012.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Zambia 1 <1%
Unknown 205 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 15%
Researcher 30 14%
Student > Ph. D. Student 28 14%
Student > Bachelor 16 8%
Other 12 6%
Other 36 17%
Unknown 54 26%
Readers by discipline Count As %
Medicine and Dentistry 51 25%
Nursing and Health Professions 24 12%
Social Sciences 19 9%
Psychology 8 4%
Agricultural and Biological Sciences 5 2%
Other 36 17%
Unknown 64 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 23 July 2015.
All research outputs
#3,504,698
of 24,344,498 outputs
Outputs from BMC Medicine
#2,003
of 3,745 outputs
Outputs of similar age
#44,155
of 266,713 outputs
Outputs of similar age from BMC Medicine
#45
of 74 outputs
Altmetric has tracked 24,344,498 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,745 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.0. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 266,713 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.