Evidence map›Paper›PMID 28376789›Full record

ArticleBMC health services research2017

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

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 and 5 more

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Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Universal Access to Xpert MTB/RIF Testing for Diagnosis of Tuberculosis in Uzbekistan: How Well Are We Doing?International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Hemant Deepak ShewadeInternational Union Against Tuberculosis and Lung Disease (The Union), South-East Asia Office, New Delhi, India, 110016. hemantjipmer@gmail.com.
Arun M KokaneDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, India.
Akash Ranjan SinghDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, India.
Manoj VermaState TB cell, Department of Health and Family Welfare, Bhopal, India.
Malik ParmarWorld Health Organization, Country Office in India, New Delhi, India.
Ashish ChauhanDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, India.
Sanjay Singh ChaharDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, India.
Manoj TiwariDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, India.
Sheeba Naz KhanState TB cell, Department of Health and Family Welfare, Bhopal, India.
Vivek GuptaDepartment of Community Ophthalmology, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Jaya Prasad TripathyInternational Union Against Tuberculosis and Lung Disease (The Union), South-East Asia Office, New Delhi, India, 110016.
Mukesh NagarDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, India.
Sanjai Kumar SinghDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, India.
Pradeep Kumar MehraDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, India.
Ajay Mv KumarInternational Union Against Tuberculosis and Lung Disease (The Union), South-East Asia Office, New Delhi, India, 110016.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundPre-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).

methodsStudy 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).

resultsOf 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.

conclusionHigh 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.

Indexed as

Patient Acceptance of Health CareAdolescentAdultAgedAntitubercular AgentsEarly DiagnosisFemaleHealth Services AccessibilityHumansIndiaMaleMiddle AgedMycobacterium tuberculosisOperations ResearchRetrospective StudiesTuberculosis, Multidrug-ResistantAntitubercular AgentsAttritionDiagnosis and treatment pathwayDiagnosis, delayedIndiaOperational researchTuberculosis, multidrug-resistant/diagnosisTuberculosis, multidrug-resistant/prevention and control

Identifiers

PMID28376789
PMCPMC5379759

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.