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The First Differentiated TB Care Model From India: Delays and Predictors of Losses in the Care Cascade
To reduce TB deaths in resource-limited settings, a differentiated care strategy can be used to triage patients with high risk of severe illness (i.e., those with very severe undernutrition, respiratory insufficiency, or inability to stand without support) at diagnosis and refer them for comprehensi...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Global Health: Science and Practice
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141439/ https://www.ncbi.nlm.nih.gov/pubmed/37116929 http://dx.doi.org/10.9745/GHSP-D-22-00505 |
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author | Shewade, Hemant Deepak Frederick, Asha Kiruthika, G. Kalyanasundaram, Madhanraj Chadwick, Joshua Rajasekar, T. Daniel Gayathri, K. Vijayaprabha, R. Sabarinathan, R. Kathiresan, Jeyashree Bhavani, P.K. Aarthi, S. Suma, K.V. Pathinathan, Delphina Peter Parthasarathy, Raghavan Nivetha, M. Bhavani Thampi, Jerome G. Chidambaram, Deiveegan Bhatnagar, Tarun Lokesh, S. Devika, Shanmugasundaram Laux, Timothy S. Viswanathan, Stalin Sridhar, R. Krishnamoorthy, K. Sakthivel, M. Karunakaran, S. Rajkumar, S. Ramachandran, M. Kanagaraj, K.D. Kaleeswari, M. Durai, V.P. Saravanan, R. Sugantha, A. Khan, S. Zufire Hassan Mohamed Sangeetha, P. Vasudevan, R. Nedunchezhian, R. Sankari, M. Jeevanandam, N. Ganapathy, S. Rajasekaran, V. Mathavi, T. Rajaprakash, A.R. Murali, Lakshmi Pugal, U. Sundaralingam, K. Savithri, S. Vellasamy, S. Dheenadayal, D. Ashok, P. Jayasree, K. Sudhakar, R. Rajan, K.P. Tharageshwari, N. Chokkalingam, D. Anandrajkumar, S.M. Selvavinayagam, T.S. Padmapriyadarshini, C. Ramachandran, Ranjani Murhekar, Manoj V. |
author_facet | Shewade, Hemant Deepak Frederick, Asha Kiruthika, G. Kalyanasundaram, Madhanraj Chadwick, Joshua Rajasekar, T. Daniel Gayathri, K. Vijayaprabha, R. Sabarinathan, R. Kathiresan, Jeyashree Bhavani, P.K. Aarthi, S. Suma, K.V. Pathinathan, Delphina Peter Parthasarathy, Raghavan Nivetha, M. Bhavani Thampi, Jerome G. Chidambaram, Deiveegan Bhatnagar, Tarun Lokesh, S. Devika, Shanmugasundaram Laux, Timothy S. Viswanathan, Stalin Sridhar, R. Krishnamoorthy, K. Sakthivel, M. Karunakaran, S. Rajkumar, S. Ramachandran, M. Kanagaraj, K.D. Kaleeswari, M. Durai, V.P. Saravanan, R. Sugantha, A. Khan, S. Zufire Hassan Mohamed Sangeetha, P. Vasudevan, R. Nedunchezhian, R. Sankari, M. Jeevanandam, N. Ganapathy, S. Rajasekaran, V. Mathavi, T. Rajaprakash, A.R. Murali, Lakshmi Pugal, U. Sundaralingam, K. Savithri, S. Vellasamy, S. Dheenadayal, D. Ashok, P. Jayasree, K. Sudhakar, R. Rajan, K.P. Tharageshwari, N. Chokkalingam, D. Anandrajkumar, S.M. Selvavinayagam, T.S. Padmapriyadarshini, C. Ramachandran, Ranjani Murhekar, Manoj V. |
author_sort | Shewade, Hemant Deepak |
collection | PubMed |
description | To reduce TB deaths in resource-limited settings, a differentiated care strategy can be used to triage patients with high risk of severe illness (i.e., those with very severe undernutrition, respiratory insufficiency, or inability to stand without support) at diagnosis and refer them for comprehensive assessment and inpatient care. Globally, there are few examples of implementing this type of strategy in routine program settings. Beginning in April 2022, the Indian state of Tamil Nadu implemented a differentiated care strategy called Tamil Nadu-Kasanoi Erappila Thittam (TN-KET) for all adults aged 15 years and older with drug-susceptible TB notified by public facilities. Before evaluating the impact on TB deaths, we sought to understand the retention and delays in the care cascade as well as predictors of losses. During April–June 2022, 14,961 TB patients were notified and 11,599 (78%) were triaged. Of those triaged, 1,509 (13%) were at high risk of severe illness; of these, 1,128 (75%) were comprehensively assessed at a nodal inpatient care facility. Of 993 confirmed as severely ill, 909 (92%) were admitted, with 8% unfavorable admission outcomes (4% deaths). Median admission duration was 4 days. From diagnosis, the median delay in triaging and admission of severely ill patients was 1 day each. Likelihood of triaging decreased for people with extrapulmonary TB, those diagnosed in high-notification districts or teaching hospitals, and those transferred out of district. Predictors of not being comprehensively assessed included: aged 25–34 years, able to stand without support, and diagnosis at a primary or secondary-level facility. Inability to stand without support was a predictor of unfavorable admission outcomes. To conclude, the first quarter of implementation suggests that TN-KET was feasible to implement but could be improved by addressing predictors of losses in the care cascade and increasing admission duration. |
format | Online Article Text |
id | pubmed-10141439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Global Health: Science and Practice |
record_format | MEDLINE/PubMed |
spelling | pubmed-101414392023-04-29 The First Differentiated TB Care Model From India: Delays and Predictors of Losses in the Care Cascade Shewade, Hemant Deepak Frederick, Asha Kiruthika, G. Kalyanasundaram, Madhanraj Chadwick, Joshua Rajasekar, T. Daniel Gayathri, K. Vijayaprabha, R. Sabarinathan, R. Kathiresan, Jeyashree Bhavani, P.K. Aarthi, S. Suma, K.V. Pathinathan, Delphina Peter Parthasarathy, Raghavan Nivetha, M. Bhavani Thampi, Jerome G. Chidambaram, Deiveegan Bhatnagar, Tarun Lokesh, S. Devika, Shanmugasundaram Laux, Timothy S. Viswanathan, Stalin Sridhar, R. Krishnamoorthy, K. Sakthivel, M. Karunakaran, S. Rajkumar, S. Ramachandran, M. Kanagaraj, K.D. Kaleeswari, M. Durai, V.P. Saravanan, R. Sugantha, A. Khan, S. Zufire Hassan Mohamed Sangeetha, P. Vasudevan, R. Nedunchezhian, R. Sankari, M. Jeevanandam, N. Ganapathy, S. Rajasekaran, V. Mathavi, T. Rajaprakash, A.R. Murali, Lakshmi Pugal, U. Sundaralingam, K. Savithri, S. Vellasamy, S. Dheenadayal, D. Ashok, P. Jayasree, K. Sudhakar, R. Rajan, K.P. Tharageshwari, N. Chokkalingam, D. Anandrajkumar, S.M. Selvavinayagam, T.S. Padmapriyadarshini, C. Ramachandran, Ranjani Murhekar, Manoj V. Glob Health Sci Pract Original Article To reduce TB deaths in resource-limited settings, a differentiated care strategy can be used to triage patients with high risk of severe illness (i.e., those with very severe undernutrition, respiratory insufficiency, or inability to stand without support) at diagnosis and refer them for comprehensive assessment and inpatient care. Globally, there are few examples of implementing this type of strategy in routine program settings. Beginning in April 2022, the Indian state of Tamil Nadu implemented a differentiated care strategy called Tamil Nadu-Kasanoi Erappila Thittam (TN-KET) for all adults aged 15 years and older with drug-susceptible TB notified by public facilities. Before evaluating the impact on TB deaths, we sought to understand the retention and delays in the care cascade as well as predictors of losses. During April–June 2022, 14,961 TB patients were notified and 11,599 (78%) were triaged. Of those triaged, 1,509 (13%) were at high risk of severe illness; of these, 1,128 (75%) were comprehensively assessed at a nodal inpatient care facility. Of 993 confirmed as severely ill, 909 (92%) were admitted, with 8% unfavorable admission outcomes (4% deaths). Median admission duration was 4 days. From diagnosis, the median delay in triaging and admission of severely ill patients was 1 day each. Likelihood of triaging decreased for people with extrapulmonary TB, those diagnosed in high-notification districts or teaching hospitals, and those transferred out of district. Predictors of not being comprehensively assessed included: aged 25–34 years, able to stand without support, and diagnosis at a primary or secondary-level facility. Inability to stand without support was a predictor of unfavorable admission outcomes. To conclude, the first quarter of implementation suggests that TN-KET was feasible to implement but could be improved by addressing predictors of losses in the care cascade and increasing admission duration. Global Health: Science and Practice 2023-04-28 /pmc/articles/PMC10141439/ /pubmed/37116929 http://dx.doi.org/10.9745/GHSP-D-22-00505 Text en © Shewade et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited. To view a copy of the license, visit https://creativecommons.org/licenses/by/4.0/. When linking to this article, please use the following permanent link: https://doi.org/10.9745/GHSP-D-22-00505 |
spellingShingle | Original Article Shewade, Hemant Deepak Frederick, Asha Kiruthika, G. Kalyanasundaram, Madhanraj Chadwick, Joshua Rajasekar, T. Daniel Gayathri, K. Vijayaprabha, R. Sabarinathan, R. Kathiresan, Jeyashree Bhavani, P.K. Aarthi, S. Suma, K.V. Pathinathan, Delphina Peter Parthasarathy, Raghavan Nivetha, M. Bhavani Thampi, Jerome G. Chidambaram, Deiveegan Bhatnagar, Tarun Lokesh, S. Devika, Shanmugasundaram Laux, Timothy S. Viswanathan, Stalin Sridhar, R. Krishnamoorthy, K. Sakthivel, M. Karunakaran, S. Rajkumar, S. Ramachandran, M. Kanagaraj, K.D. Kaleeswari, M. Durai, V.P. Saravanan, R. Sugantha, A. Khan, S. Zufire Hassan Mohamed Sangeetha, P. Vasudevan, R. Nedunchezhian, R. Sankari, M. Jeevanandam, N. Ganapathy, S. Rajasekaran, V. Mathavi, T. Rajaprakash, A.R. Murali, Lakshmi Pugal, U. Sundaralingam, K. Savithri, S. Vellasamy, S. Dheenadayal, D. Ashok, P. Jayasree, K. Sudhakar, R. Rajan, K.P. Tharageshwari, N. Chokkalingam, D. Anandrajkumar, S.M. Selvavinayagam, T.S. Padmapriyadarshini, C. Ramachandran, Ranjani Murhekar, Manoj V. The First Differentiated TB Care Model From India: Delays and Predictors of Losses in the Care Cascade |
title | The First Differentiated TB Care Model From India: Delays and Predictors of Losses in the Care Cascade |
title_full | The First Differentiated TB Care Model From India: Delays and Predictors of Losses in the Care Cascade |
title_fullStr | The First Differentiated TB Care Model From India: Delays and Predictors of Losses in the Care Cascade |
title_full_unstemmed | The First Differentiated TB Care Model From India: Delays and Predictors of Losses in the Care Cascade |
title_short | The First Differentiated TB Care Model From India: Delays and Predictors of Losses in the Care Cascade |
title_sort | first differentiated tb care model from india: delays and predictors of losses in the care cascade |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141439/ https://www.ncbi.nlm.nih.gov/pubmed/37116929 http://dx.doi.org/10.9745/GHSP-D-22-00505 |
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