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Patients pathways to tuberculosis diagnosis and treatment in a fragmented health system: a qualitative study from a south Indian district

Overview of attention for article published in BMC Public Health, August 2017
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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16 X users
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140 Mendeley
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Title
Patients pathways to tuberculosis diagnosis and treatment in a fragmented health system: a qualitative study from a south Indian district
Published in
BMC Public Health, August 2017
DOI 10.1186/s12889-017-4627-7
Pubmed ID
Authors

Vijayashree Yellappa, Pierre Lefèvre, Tullia Battaglioli, Narayanan Devadasan, Patrick Van der Stuyft

Abstract

India's Revised National Tuberculosis (TB) Control Programme (RNTCP) offers free TB diagnosis and treatment. But more than 50% of TB patients seek care from private practitioners (PPs), where TB is managed sub-optimally. In India, there is dearth of studies capturing experiences of TB patients when they navigate through health facilities to seek care. Also, there is less information available on how PPs make decisions to refer TB cases to RNTCP. We conducted this study to understand the factors influencing TB patient's therapeutic itineraries to RNTCP and PP's cross referral practices linked to RNTCP. We conducted in-depth interviews on a purposive sample of 33 TB patients and 38 PPs. Patients were categorised into three groups: those who reached RNTCP directly, those who were referred by PPs to RNTCP and patients who took DOT from PPs. We assessed patient's experiences in each category and documented their journey from initial symptoms until they reached RNTCP, where they were diagnosed and started on treatment. PPs were categorised into three groups based on their TB case referrals to RNTCP: actively-referring, minimally-referring and non-referring. Patients had limited awareness about TB. Patients switched from one provider to the other, since their symptoms were not relieved. A first group of patients, self-medicated by purchasing get rid drugs from private chemists over the counter, before seeking care. A second group sought care from government facilities and had simple itineraries. A third group who sought care from PPs, switched concurrently and/or iteratively from public and private providers in search for relief of symptoms causing important diagnostic delays. Eventually all patients reached RNTCP, diagnosed and started on treatment. PP's cross-referral practices were influenced by patient's paying capacity, familiarity with RNTCP, kickbacks from private labs and chemists, and even to get rid of TB patients. These trade-offs by PPs complicated patient's itineraries to RNTCP. India aims to achieve universal health care for TB. Our study findings help RNTCP to develop initiatives to promote early detection of TB, by involving PPs and private chemists and establish effective referral systems from private sectors to RNTCP.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 14%
Researcher 17 12%
Student > Bachelor 12 9%
Student > Postgraduate 11 8%
Student > Ph. D. Student 11 8%
Other 28 20%
Unknown 41 29%
Readers by discipline Count As %
Medicine and Dentistry 37 26%
Nursing and Health Professions 16 11%
Social Sciences 15 11%
Biochemistry, Genetics and Molecular Biology 5 4%
Engineering 3 2%
Other 13 9%
Unknown 51 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 25 August 2019.
All research outputs
#3,306,535
of 25,765,370 outputs
Outputs from BMC Public Health
#4,071
of 17,819 outputs
Outputs of similar age
#56,926
of 328,352 outputs
Outputs of similar age from BMC Public Health
#55
of 190 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,819 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 77% 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 328,352 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 82% of its contemporaries.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.