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Estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending TB in India, 2015–2020
OBJECTIVES: We verified subnational (state/union territory (UT)/district) claims of achievements in reducing tuberculosis (TB) incidence in 2020 compared with 2015, in India. DESIGN: A community-based survey, analysis of programme data and anti-TB drug sales and utilisation data. SETTING: National T...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340578/ https://www.ncbi.nlm.nih.gov/pubmed/35902192 http://dx.doi.org/10.1136/bmjopen-2021-060197 |
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author | Jeyashree, Kathiresan Thangaraj, Jeromie Rade, Kiran Modi, Bhavesh Selvaraju, Sriram Velusamy, Saravanakumar Akhil, Sasidharan Vijayageetha, Mathavaswami Sudha Rani, Dhanapal Sabarinathan, Ramasamy Manikandanesan, Sakthivel Elumalai, Rajalakshmi Natarajan, Meenakumari Joseph, Bency Mahapatra, Amarendra Shamim, Almas Shah, Amar Bhardwaj, Ashok Purty, Anil Vadera, Bhavin Sridhar, Anand Chowdhury, Aniket Shafie, Asif Choudhury, Avijit Dhrubjyoti, Deka Solanki, Hardik Sirmanwar, Krushna Khaparde, Kshitij Parmar, Malik Dahiya, Nisha Debdutta, Parija Ahmed, Quazi Ramachandran, Ranjani Prasad, Ranjeet Shinde, Rohini Baruah, Rupali Chauhan, Sandeep Bharaswadkar, Sandip Achanta, Shanta Sharath, Burugina Nagaraja Balakrishnan, Shibu Chandra, Shivani Khumukcham, Sophia Mandal, Sudarsan Chalil, Sumitha Shah, Vaibhav Roddawar, Venkatesh Rao, Raghuram Sachdeva, Kuldeep Murhekar, Manoj |
author_facet | Jeyashree, Kathiresan Thangaraj, Jeromie Rade, Kiran Modi, Bhavesh Selvaraju, Sriram Velusamy, Saravanakumar Akhil, Sasidharan Vijayageetha, Mathavaswami Sudha Rani, Dhanapal Sabarinathan, Ramasamy Manikandanesan, Sakthivel Elumalai, Rajalakshmi Natarajan, Meenakumari Joseph, Bency Mahapatra, Amarendra Shamim, Almas Shah, Amar Bhardwaj, Ashok Purty, Anil Vadera, Bhavin Sridhar, Anand Chowdhury, Aniket Shafie, Asif Choudhury, Avijit Dhrubjyoti, Deka Solanki, Hardik Sirmanwar, Krushna Khaparde, Kshitij Parmar, Malik Dahiya, Nisha Debdutta, Parija Ahmed, Quazi Ramachandran, Ranjani Prasad, Ranjeet Shinde, Rohini Baruah, Rupali Chauhan, Sandeep Bharaswadkar, Sandip Achanta, Shanta Sharath, Burugina Nagaraja Balakrishnan, Shibu Chandra, Shivani Khumukcham, Sophia Mandal, Sudarsan Chalil, Sumitha Shah, Vaibhav Roddawar, Venkatesh Rao, Raghuram Sachdeva, Kuldeep Murhekar, Manoj |
author_sort | Jeyashree, Kathiresan |
collection | PubMed |
description | OBJECTIVES: We verified subnational (state/union territory (UT)/district) claims of achievements in reducing tuberculosis (TB) incidence in 2020 compared with 2015, in India. DESIGN: A community-based survey, analysis of programme data and anti-TB drug sales and utilisation data. SETTING: National TB Elimination Program and private TB treatment settings in 73 districts that had filed a claim to the Central TB Division of India for progress towards TB-free status. PARTICIPANTS: Each district was divided into survey units (SU) and one village/ward was randomly selected from each SU. All household members in the selected village were interviewed. Sputum from participants with a history of anti-TB therapy (ATT), those currently experiencing chest symptoms or on ATT were tested using Xpert/Rif/TrueNat. The survey continued until 30 Mycobacterium tuberculosis cases were identified in a district. OUTCOME MEASURES: We calculated a direct estimate of TB incidence based on incident cases identified in the survey. We calculated an under-reporting factor by matching these cases within the TB notification system. The TB notification adjusted for this factor was the estimate by the indirect method. We also calculated TB incidence from drug sale data in the private sector and drug utilisation data in the public sector. We compared the three estimates of TB incidence in 2020 with TB incidence in 2015. RESULTS: The estimated direct incidence ranged from 19 (Purba Medinipur, West Bengal) to 1457 (Jaintia Hills, Meghalaya) per 100 000 population. Indirect estimates of incidence ranged between 19 (Diu, Dadra and Nagar Haveli) and 788 (Dumka, Jharkhand) per 100 000 population. The incidence using drug sale data ranged from 19 per 100 000 population in Diu, Dadra and Nagar Haveli to 651 per 100 000 population in Centenary, Maharashtra. CONCLUSION: TB incidence in 1 state, 2 UTs and 35 districts had declined by at least 20% since 2015. Two districts in India were declared TB free in 2020. |
format | Online Article Text |
id | pubmed-9340578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-93405782022-08-01 Estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending TB in India, 2015–2020 Jeyashree, Kathiresan Thangaraj, Jeromie Rade, Kiran Modi, Bhavesh Selvaraju, Sriram Velusamy, Saravanakumar Akhil, Sasidharan Vijayageetha, Mathavaswami Sudha Rani, Dhanapal Sabarinathan, Ramasamy Manikandanesan, Sakthivel Elumalai, Rajalakshmi Natarajan, Meenakumari Joseph, Bency Mahapatra, Amarendra Shamim, Almas Shah, Amar Bhardwaj, Ashok Purty, Anil Vadera, Bhavin Sridhar, Anand Chowdhury, Aniket Shafie, Asif Choudhury, Avijit Dhrubjyoti, Deka Solanki, Hardik Sirmanwar, Krushna Khaparde, Kshitij Parmar, Malik Dahiya, Nisha Debdutta, Parija Ahmed, Quazi Ramachandran, Ranjani Prasad, Ranjeet Shinde, Rohini Baruah, Rupali Chauhan, Sandeep Bharaswadkar, Sandip Achanta, Shanta Sharath, Burugina Nagaraja Balakrishnan, Shibu Chandra, Shivani Khumukcham, Sophia Mandal, Sudarsan Chalil, Sumitha Shah, Vaibhav Roddawar, Venkatesh Rao, Raghuram Sachdeva, Kuldeep Murhekar, Manoj BMJ Open Health Services Research OBJECTIVES: We verified subnational (state/union territory (UT)/district) claims of achievements in reducing tuberculosis (TB) incidence in 2020 compared with 2015, in India. DESIGN: A community-based survey, analysis of programme data and anti-TB drug sales and utilisation data. SETTING: National TB Elimination Program and private TB treatment settings in 73 districts that had filed a claim to the Central TB Division of India for progress towards TB-free status. PARTICIPANTS: Each district was divided into survey units (SU) and one village/ward was randomly selected from each SU. All household members in the selected village were interviewed. Sputum from participants with a history of anti-TB therapy (ATT), those currently experiencing chest symptoms or on ATT were tested using Xpert/Rif/TrueNat. The survey continued until 30 Mycobacterium tuberculosis cases were identified in a district. OUTCOME MEASURES: We calculated a direct estimate of TB incidence based on incident cases identified in the survey. We calculated an under-reporting factor by matching these cases within the TB notification system. The TB notification adjusted for this factor was the estimate by the indirect method. We also calculated TB incidence from drug sale data in the private sector and drug utilisation data in the public sector. We compared the three estimates of TB incidence in 2020 with TB incidence in 2015. RESULTS: The estimated direct incidence ranged from 19 (Purba Medinipur, West Bengal) to 1457 (Jaintia Hills, Meghalaya) per 100 000 population. Indirect estimates of incidence ranged between 19 (Diu, Dadra and Nagar Haveli) and 788 (Dumka, Jharkhand) per 100 000 population. The incidence using drug sale data ranged from 19 per 100 000 population in Diu, Dadra and Nagar Haveli to 651 per 100 000 population in Centenary, Maharashtra. CONCLUSION: TB incidence in 1 state, 2 UTs and 35 districts had declined by at least 20% since 2015. Two districts in India were declared TB free in 2020. BMJ Publishing Group 2022-07-28 /pmc/articles/PMC9340578/ /pubmed/35902192 http://dx.doi.org/10.1136/bmjopen-2021-060197 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Health Services Research Jeyashree, Kathiresan Thangaraj, Jeromie Rade, Kiran Modi, Bhavesh Selvaraju, Sriram Velusamy, Saravanakumar Akhil, Sasidharan Vijayageetha, Mathavaswami Sudha Rani, Dhanapal Sabarinathan, Ramasamy Manikandanesan, Sakthivel Elumalai, Rajalakshmi Natarajan, Meenakumari Joseph, Bency Mahapatra, Amarendra Shamim, Almas Shah, Amar Bhardwaj, Ashok Purty, Anil Vadera, Bhavin Sridhar, Anand Chowdhury, Aniket Shafie, Asif Choudhury, Avijit Dhrubjyoti, Deka Solanki, Hardik Sirmanwar, Krushna Khaparde, Kshitij Parmar, Malik Dahiya, Nisha Debdutta, Parija Ahmed, Quazi Ramachandran, Ranjani Prasad, Ranjeet Shinde, Rohini Baruah, Rupali Chauhan, Sandeep Bharaswadkar, Sandip Achanta, Shanta Sharath, Burugina Nagaraja Balakrishnan, Shibu Chandra, Shivani Khumukcham, Sophia Mandal, Sudarsan Chalil, Sumitha Shah, Vaibhav Roddawar, Venkatesh Rao, Raghuram Sachdeva, Kuldeep Murhekar, Manoj Estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending TB in India, 2015–2020 |
title | Estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending TB in India, 2015–2020 |
title_full | Estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending TB in India, 2015–2020 |
title_fullStr | Estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending TB in India, 2015–2020 |
title_full_unstemmed | Estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending TB in India, 2015–2020 |
title_short | Estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending TB in India, 2015–2020 |
title_sort | estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending tb in india, 2015–2020 |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340578/ https://www.ncbi.nlm.nih.gov/pubmed/35902192 http://dx.doi.org/10.1136/bmjopen-2021-060197 |
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