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High pre-diagnosis attrition among patients with presumptive MDR-TB: an operational research from Bhopal district, India

Overview of attention for article published in BMC Health Services Research, April 2017
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Title
High pre-diagnosis attrition among patients with presumptive MDR-TB: an operational research from Bhopal district, India
Published in
BMC Health Services Research, April 2017
DOI 10.1186/s12913-017-2191-6
Pubmed ID
Authors

Hemant Deepak Shewade, Arun M Kokane, Akash Ranjan Singh, Manoj Verma, Malik Parmar, Ashish Chauhan, Sanjay Singh Chahar, Manoj Tiwari, Sheeba Naz Khan, Vivek Gupta, Jaya Prasad Tripathy, Mukesh Nagar, Sanjai Kumar Singh, Pradeep Kumar Mehra, Ajay MV Kumar

Abstract

Pre-diagnosis attrition needs to be addressed urgently if we are to make progress in improving MDR-TB case detection and achieve universal access to MDR-TB care. We report the pre-diagnosis attrition, along with factors associated, and turnaround times related to the diagnostic pathway among patient with presumptive MDR-TB in Bhopal district, central India (2014). Study was conducted under the Revised National Tuberculosis Control Programme setting. It was a retrospective cohort study involving record review of all registered TB cases in Bhopal district that met the presumptive MDR-TB criteria (eligible for DST) in 2014. In quarter 1, Line Probe Assay (LPA) was used if sample was smear/culture positive. Quarter 2 onwards, LPA and Cartridge-based Nucleic Acid Amplification Test (CbNAAT) was used for smear positive and smear negative samples respectively. Pre-diagnosis attrition was defined as failure to undergo DST among patients with presumptive MDR-TB (as defined by the programme). Of 770 patients eligible for DST, 311 underwent DST and 20 patients were diagnosed as having MDR-TB. Pre-diagnosis attrition was 60% (459/770). Among those with pre-diagnosis attrition, 91% (417/459) were not identified as 'presumptive MDR-TB' by the programme. TAT [median (IQR)] to undergo DST after eligibility was 4 (0, 10) days. Attrition was more than 40% across all subgroups. Age more than 64 years; those from a medical college; those eligible in quarter 1; patients with presumptive criteria 'previously treated - recurrent TB', 'treatment after loss-to-follow-up' and 'previously treated-others'; and patients with extra-pulmonary TB were independent risk factors for not undergoing DST. High pre-diagnosis attrition was contributed by failure to identify and refer patients. Attrition reduced modestly with time and one factor that might have contributed to this was introduction of CbNAAT in quarter 2 of 2014. General health system strengthening which includes improvement in identification/referral and patient tracking with focus on those with higher risk for not undergoing DST is urgently required.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 148 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 14%
Student > Master 21 14%
Other 12 8%
Student > Bachelor 11 7%
Professor > Associate Professor 11 7%
Other 38 26%
Unknown 34 23%
Readers by discipline Count As %
Medicine and Dentistry 53 36%
Nursing and Health Professions 15 10%
Social Sciences 8 5%
Immunology and Microbiology 8 5%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 14 9%
Unknown 46 31%
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 23 August 2017.
All research outputs
#17,913,495
of 22,999,744 outputs
Outputs from BMC Health Services Research
#6,349
of 7,702 outputs
Outputs of similar age
#220,611
of 309,009 outputs
Outputs of similar age from BMC Health Services Research
#117
of 140 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,702 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 15th percentile – i.e., 15% 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 309,009 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.