Evidence map›Paper›PMID 31720398›Full record

ArticleJournal of clinical tuberculosis and other mycobacterial diseases2018

Predictors of tuberculosis treatment outcomes among a retrospective cohort in rural, Central India.

Secretary Of Jan Swasthya Sahyog, Timothy S Laux, Sushil Patil

Abstract read
In one paragraph

Article in Journal of clinical tuberculosis and other mycobacterial diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Secretary Of Jan Swasthya SahyogJan Swasthya Sahyog (People's Health Support Group), Ganiyari, Bilaspur, Chhattisgarh 495112, India.
Timothy S LauxJan Swasthya Sahyog (People's Health Support Group), Ganiyari, Bilaspur, Chhattisgarh 495112, India.
Sushil PatilJan Swasthya Sahyog (People's Health Support Group), Ganiyari, Bilaspur, Chhattisgarh 495112, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionProgrammatic design affects access to healthcare and can influence tuberculosis treatment outcomes. Potential predictors of tuberculosis treatment outcomes in one rural Indian setting were examined to improve outcomes with a focus on access to care.

methodsRoutinely collected tuberculosis treatment data from Jan Swasthya Sahyog, a community based healthcare system in rural Chhattisgarh, India were examined from 2003-2015. Predictors were analyzed for associations with death, loss to follow-up or failure in multivariable logistic regression models. The effect of distance from treatment on outcomes was graphed and Pearson's correlation coefficients (r

results4979 patients with active TB were treated during the study period. Patients were mostly male, malnourished, diagnosed with pulmonary disease and many travelled lengthy distances. Positive treatment outcomes improved from 55% to 80% from 2003 to 2015 for all patients though positive treatment outcomes have been above 80% in the primary care setting since 2012. The annual case fatality rate was 4.4% with small yearly variation.Gender and site of treatment (primary versus secondary care facility) and also season of treatment initiation and travel time to care best predicted outcomes in both the complete model and model which included only patients with initial BMI data. No differences were found between primary and secondary care patients for initial BMI, percentage of sputum positivity among those with pulmonary disease and grade of sputum positivity among the sputum positive. Those who traveled the furthest to access care achieved the worst outcomes during the summer and, to a lesser degree, the monsoon. Distance from care was associated with treatment outcomes in a dose-response manner out to substantial distances. From 2010 to 2015, most patients who died or were lost to follow-up did so in the first week of treatment.

conclusionsThe provision of care through local facilities improves the treatment of tuberculosis in rural India. Interventions addressing death or loss to follow-up should focus on the newly diagnosed. Rural Indian physicians should be aware of how access issues affect TB treatment outcomes.

Indexed as

DistanceOutcomesRuralSocial determinantsTuberculosis

Identifiers

PMID31720398
PMCPMC6830133

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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.