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Predictors of tuberculosis treatment outcomes among a retrospective cohort in rural, Central India
INTRODUCTION: Programmatic 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. METHODS: Routinely collected tubercu...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830133/ https://www.ncbi.nlm.nih.gov/pubmed/31720398 http://dx.doi.org/10.1016/j.jctube.2018.06.005 |
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author | Secretary of Jan Swasthya Sahyog Laux, Timothy S. Patil, Sushil |
author_facet | Secretary of Jan Swasthya Sahyog Laux, Timothy S. Patil, Sushil |
author_sort | Secretary of Jan Swasthya Sahyog |
collection | PubMed |
description | INTRODUCTION: Programmatic 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. METHODS: Routinely 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(2)) calculated. Descriptive time to event analyses were performed for all deaths and loss to follow-up from January 2010 to September 2015. RESULTS: 4979 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. CONCLUSIONS: The 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. |
format | Online Article Text |
id | pubmed-6830133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68301332019-11-12 Predictors of tuberculosis treatment outcomes among a retrospective cohort in rural, Central India Secretary of Jan Swasthya Sahyog Laux, Timothy S. Patil, Sushil J Clin Tuberc Other Mycobact Dis Article INTRODUCTION: Programmatic 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. METHODS: Routinely 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(2)) calculated. Descriptive time to event analyses were performed for all deaths and loss to follow-up from January 2010 to September 2015. RESULTS: 4979 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. CONCLUSIONS: The 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. Elsevier 2018-07-03 /pmc/articles/PMC6830133/ /pubmed/31720398 http://dx.doi.org/10.1016/j.jctube.2018.06.005 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Secretary of Jan Swasthya Sahyog Laux, Timothy S. Patil, Sushil Predictors of tuberculosis treatment outcomes among a retrospective cohort in rural, Central India |
title | Predictors of tuberculosis treatment outcomes among a retrospective cohort in rural, Central India |
title_full | Predictors of tuberculosis treatment outcomes among a retrospective cohort in rural, Central India |
title_fullStr | Predictors of tuberculosis treatment outcomes among a retrospective cohort in rural, Central India |
title_full_unstemmed | Predictors of tuberculosis treatment outcomes among a retrospective cohort in rural, Central India |
title_short | Predictors of tuberculosis treatment outcomes among a retrospective cohort in rural, Central India |
title_sort | predictors of tuberculosis treatment outcomes among a retrospective cohort in rural, central india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830133/ https://www.ncbi.nlm.nih.gov/pubmed/31720398 http://dx.doi.org/10.1016/j.jctube.2018.06.005 |
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