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Pretreatment loss to follow-up of tuberculosis patients in Chennai, India: a cohort study with implications for health systems strengthening

Overview of attention for article published in BMC Infectious Diseases, March 2018
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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1 news outlet
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4 X users
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1 Facebook page

Citations

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31 Dimensions

Readers on

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153 Mendeley
Title
Pretreatment loss to follow-up of tuberculosis patients in Chennai, India: a cohort study with implications for health systems strengthening
Published in
BMC Infectious Diseases, March 2018
DOI 10.1186/s12879-018-3039-3
Pubmed ID
Authors

Beena E. Thomas, Ramnath Subbaraman, Senthil Sellappan, Chandra Suresh, J. Lavanya, Savari Lincy, Agnes Lawrence Raja, B. Javeed, S. Kokila, S. Arumugam, Soumya Swaminathan, Kenneth H. Mayer

Abstract

Pretreatment loss to follow-up (PTLFU) is a barrier to tuberculosis (TB) control in India's Revised National TB Control Programme (RNTCP). PTLFU studies have not been conducted in India's mega-cities, where patient mobility may complicate linkage to care. We collected data from patient registries for May 2015 from 22 RNTCP designated microscopy centers (DMCs) in Chennai and audited addresses and phone numbers for patients evaluated for suspected TB to understand how missing contact information may contribute to PTLFU. From November 2015 to June 2016, we audited one month of records from each of these 22 DMCs and tracked newly diagnosed smear-positive patients using RNTCP records, phone calls, and home visits. We defined PTLFU cases as including: (1) patients who did not start TB therapy within 14 days and (2) patients who started TB therapy but were lost to follow-up or died before official RNTCP registration. We used multivariate logistic regression to identify factors associated with PTLFU. In the audit of May 2015 DMC registries, out of 3696 patients evaluated for TB, 1273 (34.4%) had addresses and phone numbers that were illegible or missing. Out of 344 smear-positive patients tracked from November 2015 to June 2016, 40 (11.6%) did not start TB therapy within 14 days and 36 (10.5%) started therapy but were lost to follow-up or died before official RNTCP registration, for an overall PTLFU rate of 22.1% (95%CI: 17.8%-26.4%). Of all PTLFU patients, 55 (72.4%) were lost to follow-up and 21 (27.6%) died before starting treatment or before RNTCP registration. In the regression analysis, age > 50 years (OR 2.9, 95%CI 1.4-6.5), history of prior TB (OR 3.9, 95%CI 2.2-7.1), evaluation at a high patient volume DMC (OR 3.2, 95% CI 1.7-6.3), and absence of legible patient contact information (OR 4.5, 95%CI 1.3-15.1) were significantly associated with PTLFU. In an Indian mega-city, we found a high PTLFU rate, especially in patients with a prior TB history, who are at greater risk for having drug-resistance. Enhancing quality of care and health system transparency is critical for improving linkage of newly diagnosed patients to TB care in urban India.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 13%
Researcher 18 12%
Student > Postgraduate 13 8%
Student > Ph. D. Student 10 7%
Student > Bachelor 9 6%
Other 23 15%
Unknown 60 39%
Readers by discipline Count As %
Medicine and Dentistry 35 23%
Nursing and Health Professions 17 11%
Social Sciences 6 4%
Arts and Humanities 4 3%
Immunology and Microbiology 3 2%
Other 16 10%
Unknown 72 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 13 August 2022.
All research outputs
#2,282,104
of 23,090,520 outputs
Outputs from BMC Infectious Diseases
#676
of 7,748 outputs
Outputs of similar age
#51,367
of 330,191 outputs
Outputs of similar age from BMC Infectious Diseases
#7
of 136 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,748 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 91% 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 330,191 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 84% of its contemporaries.
We're also able to compare this research output to 136 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 94% of its contemporaries.