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Improving care for hypertension and diabetes in india by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care
BACKGROUND: The growing burden of hypertension and diabetes is one of the major public health challenges being faced by the health system in India. Clinical Decision Support Systems (CDSS) that assist with tailoring evidence-based management approaches combined with task-shifting from more specializ...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125907/ https://www.ncbi.nlm.nih.gov/pubmed/35606762 http://dx.doi.org/10.1186/s12913-022-08025-y |
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author | Jindal, Devraj Sharma, Hanspria Gupta, Yashdeep Ajay, Vamadevan S. Roy, Ambuj Sharma, Rakshit Ali, Mumtaj Jarhyan, Prashant Gupta, Priti Srinivasapura Venkateshmurthy, Nikhil Ali, Mohammed K. Narayan, K M Venkat Prabhakaran, Dorairaj Weber, Mary Beth Mohan, Sailesh Patel, Shivani A. Tandon, Nikhil |
author_facet | Jindal, Devraj Sharma, Hanspria Gupta, Yashdeep Ajay, Vamadevan S. Roy, Ambuj Sharma, Rakshit Ali, Mumtaj Jarhyan, Prashant Gupta, Priti Srinivasapura Venkateshmurthy, Nikhil Ali, Mohammed K. Narayan, K M Venkat Prabhakaran, Dorairaj Weber, Mary Beth Mohan, Sailesh Patel, Shivani A. Tandon, Nikhil |
author_sort | Jindal, Devraj |
collection | PubMed |
description | BACKGROUND: The growing burden of hypertension and diabetes is one of the major public health challenges being faced by the health system in India. Clinical Decision Support Systems (CDSS) that assist with tailoring evidence-based management approaches combined with task-shifting from more specialized to less specialized providers may together enhance the impact of a program. We sought to integrate a technology “CDSS” and a strategy “Task-shifting” within the Government of India’s (GoI) Non-Communicable Diseases (NCD) System under the Comprehensive Primary Health Care (CPHC) initiative to enhance the program’s impact to address the growing burden of hypertension and diabetes in India. METHODS: We developed a model of care “I-TREC” entirely calibrated for implementation within the current health system across all facility types (Primary Health Centre, Community Health Centre, and District Hospital) in a block in Shaheed Bhagat Singh (SBS) Nagar district of Punjab, India. We undertook an academic-community partnership to incorporate the combination of a CDSS with task-shifting into the GoI CPHC-NCD system, a platform that assists healthcare providers to record patient information for routine NCD care. Academic partners developed clinical algorithms, a revised clinic workflow, and provider training modules with iterative collaboration and consultation with government and technology partners to incorporate CDSS within the existing system. DISCUSSION: The CDSS-enabled GoI CPHC-NCD system provides evidence-based recommendations for hypertension and diabetes; threshold-based prompts to assure referral mechanism across health facilities; integrated patient database, and care coordination through workflow management and dashboard alerts. To enable efficient implementation, modifications were made in the patient workflow and the fulcrum of the use of technology shifted from physician to nurse. CONCLUSION: Designed to be applicable nationwide, the I-TREC model of care is being piloted in a block in the state of Punjab, India. Learnings from I-TREC will provide a roadmap to other public health experts to integrate and adapt their interventions at the national level. TRIAL REGISTRATION: CTRI/2020/01/022723. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08025-y. |
format | Online Article Text |
id | pubmed-9125907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91259072022-05-24 Improving care for hypertension and diabetes in india by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care Jindal, Devraj Sharma, Hanspria Gupta, Yashdeep Ajay, Vamadevan S. Roy, Ambuj Sharma, Rakshit Ali, Mumtaj Jarhyan, Prashant Gupta, Priti Srinivasapura Venkateshmurthy, Nikhil Ali, Mohammed K. Narayan, K M Venkat Prabhakaran, Dorairaj Weber, Mary Beth Mohan, Sailesh Patel, Shivani A. Tandon, Nikhil BMC Health Serv Res Research BACKGROUND: The growing burden of hypertension and diabetes is one of the major public health challenges being faced by the health system in India. Clinical Decision Support Systems (CDSS) that assist with tailoring evidence-based management approaches combined with task-shifting from more specialized to less specialized providers may together enhance the impact of a program. We sought to integrate a technology “CDSS” and a strategy “Task-shifting” within the Government of India’s (GoI) Non-Communicable Diseases (NCD) System under the Comprehensive Primary Health Care (CPHC) initiative to enhance the program’s impact to address the growing burden of hypertension and diabetes in India. METHODS: We developed a model of care “I-TREC” entirely calibrated for implementation within the current health system across all facility types (Primary Health Centre, Community Health Centre, and District Hospital) in a block in Shaheed Bhagat Singh (SBS) Nagar district of Punjab, India. We undertook an academic-community partnership to incorporate the combination of a CDSS with task-shifting into the GoI CPHC-NCD system, a platform that assists healthcare providers to record patient information for routine NCD care. Academic partners developed clinical algorithms, a revised clinic workflow, and provider training modules with iterative collaboration and consultation with government and technology partners to incorporate CDSS within the existing system. DISCUSSION: The CDSS-enabled GoI CPHC-NCD system provides evidence-based recommendations for hypertension and diabetes; threshold-based prompts to assure referral mechanism across health facilities; integrated patient database, and care coordination through workflow management and dashboard alerts. To enable efficient implementation, modifications were made in the patient workflow and the fulcrum of the use of technology shifted from physician to nurse. CONCLUSION: Designed to be applicable nationwide, the I-TREC model of care is being piloted in a block in the state of Punjab, India. Learnings from I-TREC will provide a roadmap to other public health experts to integrate and adapt their interventions at the national level. TRIAL REGISTRATION: CTRI/2020/01/022723. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08025-y. BioMed Central 2022-05-23 /pmc/articles/PMC9125907/ /pubmed/35606762 http://dx.doi.org/10.1186/s12913-022-08025-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Jindal, Devraj Sharma, Hanspria Gupta, Yashdeep Ajay, Vamadevan S. Roy, Ambuj Sharma, Rakshit Ali, Mumtaj Jarhyan, Prashant Gupta, Priti Srinivasapura Venkateshmurthy, Nikhil Ali, Mohammed K. Narayan, K M Venkat Prabhakaran, Dorairaj Weber, Mary Beth Mohan, Sailesh Patel, Shivani A. Tandon, Nikhil Improving care for hypertension and diabetes in india by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care |
title | Improving care for hypertension and diabetes in india by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care |
title_full | Improving care for hypertension and diabetes in india by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care |
title_fullStr | Improving care for hypertension and diabetes in india by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care |
title_full_unstemmed | Improving care for hypertension and diabetes in india by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care |
title_short | Improving care for hypertension and diabetes in india by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care |
title_sort | improving care for hypertension and diabetes in india by addition of clinical decision support system and task shifting in the national ncd program: i-trec model of care |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125907/ https://www.ncbi.nlm.nih.gov/pubmed/35606762 http://dx.doi.org/10.1186/s12913-022-08025-y |
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