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Multidimensional dynamic healthcare personnel (HCP)-centric model from a low-income and middle-income country to support and protect COVID-19 warriors: a large prospective cohort study
OBJECTIVES: Healthcare personnel (HCP) are at an increased risk of acquiring COVID-19 infection especially in resource-restricted healthcare settings, and return to homes unfit for self-isolation, making them apprehensive about COVID-19 duty and transmission risk to their families. We aimed at imple...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902325/ https://www.ncbi.nlm.nih.gov/pubmed/33619195 http://dx.doi.org/10.1136/bmjopen-2020-043837 |
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author | Dutta, Usha Sachan, Anurag Premkumar, Madhumita Gupta, Tulika Sahoo, Swapnajeet Grover, Sandeep Sharma, Sugandhi Lakshmi, P V M Talati, Shweta Biswal, Manisha Suri, Vikas Singh, Mini P Ghai, Babita Chhabra, Rajesh Bharti, Bhavneet Samanta, Jayanta Arora, Pankaj Mohindra, Ritin Malhotra, Sunita Singh, Gurmeet Guru, Rashmi Ranjan Pandey, Navin Koushal, Vipin Kumar, Ashok Bhogal, Ranjitpal Singh Aggarwal, Arun K Goel, Kapil Malhotra, Pankaj Yaddanapudi, Narayana Mahajan, Pranay Thakur, J S Sehgal, Rakesh Ghosh, Arnab Sehgal, Inderpaul Singh Agarwal, Ritesh Jayashree, Muralidharan Bhalla, Ashish Jain, Sanjay Kochhar, Rakesh Chakrabarti, Arunaloke Puri, Goverdhan Dutt Ram, Jagat |
author_facet | Dutta, Usha Sachan, Anurag Premkumar, Madhumita Gupta, Tulika Sahoo, Swapnajeet Grover, Sandeep Sharma, Sugandhi Lakshmi, P V M Talati, Shweta Biswal, Manisha Suri, Vikas Singh, Mini P Ghai, Babita Chhabra, Rajesh Bharti, Bhavneet Samanta, Jayanta Arora, Pankaj Mohindra, Ritin Malhotra, Sunita Singh, Gurmeet Guru, Rashmi Ranjan Pandey, Navin Koushal, Vipin Kumar, Ashok Bhogal, Ranjitpal Singh Aggarwal, Arun K Goel, Kapil Malhotra, Pankaj Yaddanapudi, Narayana Mahajan, Pranay Thakur, J S Sehgal, Rakesh Ghosh, Arnab Sehgal, Inderpaul Singh Agarwal, Ritesh Jayashree, Muralidharan Bhalla, Ashish Jain, Sanjay Kochhar, Rakesh Chakrabarti, Arunaloke Puri, Goverdhan Dutt Ram, Jagat |
author_sort | Dutta, Usha |
collection | PubMed |
description | OBJECTIVES: Healthcare personnel (HCP) are at an increased risk of acquiring COVID-19 infection especially in resource-restricted healthcare settings, and return to homes unfit for self-isolation, making them apprehensive about COVID-19 duty and transmission risk to their families. We aimed at implementing a novel multidimensional HCP-centric evidence-based, dynamic policy with the objectives to reduce risk of HCP infection, ensure welfare and safety of the HCP and to improve willingness to accept and return to duty. SETTING: Our tertiary care university hospital, with 12 600 HCP, was divided into high-risk, medium-risk and low-risk zones. In the high-risk and medium-risk zones, we organised training, logistic support, postduty HCP welfare and collected feedback, and sent them home after they tested negative for COVID-19. We supervised use of appropriate personal protective equipment (PPE) and kept communication paperless. PARTICIPANTS: We recruited willing low-risk HCP, aged <50 years, with no comorbidities to work in COVID-19 zones. Social distancing, hand hygiene and universal masking were advocated in the low-risk zone. RESULTS: Between 31 March and 20 July 2020, we clinically screened 5553 outpatients, of whom 3012 (54.2%) were COVID-19 suspects managed in the medium-risk zone. Among them, 346 (11.4%) tested COVID-19 positive (57.2% male) and were managed in the high-risk zone with 19 (5.4%) deaths. One (0.08%) of the 1224 HCP in high-risk zone, 6 (0.62%) of 960 HCP in medium-risk zone and 23 (0.18%) of the 12 600 HCP in the low-risk zone tested positive at the end of shift. All the 30 COVID-19-positive HCP have since recovered. This HCP-centric policy resulted in low transmission rates (<1%), ensured satisfaction with training (92%), PPE (90.8%), medical and psychosocial support (79%) and improved acceptance of COVID-19 duty with 54.7% volunteering for re-deployment. CONCLUSION: A multidimensional HCP-centric policy was effective in ensuring safety, satisfaction and welfare of HCP in a resource-poor setting and resulted in a willing workforce to fight the pandemic. |
format | Online Article Text |
id | pubmed-7902325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-79023252021-02-24 Multidimensional dynamic healthcare personnel (HCP)-centric model from a low-income and middle-income country to support and protect COVID-19 warriors: a large prospective cohort study Dutta, Usha Sachan, Anurag Premkumar, Madhumita Gupta, Tulika Sahoo, Swapnajeet Grover, Sandeep Sharma, Sugandhi Lakshmi, P V M Talati, Shweta Biswal, Manisha Suri, Vikas Singh, Mini P Ghai, Babita Chhabra, Rajesh Bharti, Bhavneet Samanta, Jayanta Arora, Pankaj Mohindra, Ritin Malhotra, Sunita Singh, Gurmeet Guru, Rashmi Ranjan Pandey, Navin Koushal, Vipin Kumar, Ashok Bhogal, Ranjitpal Singh Aggarwal, Arun K Goel, Kapil Malhotra, Pankaj Yaddanapudi, Narayana Mahajan, Pranay Thakur, J S Sehgal, Rakesh Ghosh, Arnab Sehgal, Inderpaul Singh Agarwal, Ritesh Jayashree, Muralidharan Bhalla, Ashish Jain, Sanjay Kochhar, Rakesh Chakrabarti, Arunaloke Puri, Goverdhan Dutt Ram, Jagat BMJ Open Health Policy OBJECTIVES: Healthcare personnel (HCP) are at an increased risk of acquiring COVID-19 infection especially in resource-restricted healthcare settings, and return to homes unfit for self-isolation, making them apprehensive about COVID-19 duty and transmission risk to their families. We aimed at implementing a novel multidimensional HCP-centric evidence-based, dynamic policy with the objectives to reduce risk of HCP infection, ensure welfare and safety of the HCP and to improve willingness to accept and return to duty. SETTING: Our tertiary care university hospital, with 12 600 HCP, was divided into high-risk, medium-risk and low-risk zones. In the high-risk and medium-risk zones, we organised training, logistic support, postduty HCP welfare and collected feedback, and sent them home after they tested negative for COVID-19. We supervised use of appropriate personal protective equipment (PPE) and kept communication paperless. PARTICIPANTS: We recruited willing low-risk HCP, aged <50 years, with no comorbidities to work in COVID-19 zones. Social distancing, hand hygiene and universal masking were advocated in the low-risk zone. RESULTS: Between 31 March and 20 July 2020, we clinically screened 5553 outpatients, of whom 3012 (54.2%) were COVID-19 suspects managed in the medium-risk zone. Among them, 346 (11.4%) tested COVID-19 positive (57.2% male) and were managed in the high-risk zone with 19 (5.4%) deaths. One (0.08%) of the 1224 HCP in high-risk zone, 6 (0.62%) of 960 HCP in medium-risk zone and 23 (0.18%) of the 12 600 HCP in the low-risk zone tested positive at the end of shift. All the 30 COVID-19-positive HCP have since recovered. This HCP-centric policy resulted in low transmission rates (<1%), ensured satisfaction with training (92%), PPE (90.8%), medical and psychosocial support (79%) and improved acceptance of COVID-19 duty with 54.7% volunteering for re-deployment. CONCLUSION: A multidimensional HCP-centric policy was effective in ensuring safety, satisfaction and welfare of HCP in a resource-poor setting and resulted in a willing workforce to fight the pandemic. BMJ Publishing Group 2021-02-22 /pmc/articles/PMC7902325/ /pubmed/33619195 http://dx.doi.org/10.1136/bmjopen-2020-043837 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://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/. |
spellingShingle | Health Policy Dutta, Usha Sachan, Anurag Premkumar, Madhumita Gupta, Tulika Sahoo, Swapnajeet Grover, Sandeep Sharma, Sugandhi Lakshmi, P V M Talati, Shweta Biswal, Manisha Suri, Vikas Singh, Mini P Ghai, Babita Chhabra, Rajesh Bharti, Bhavneet Samanta, Jayanta Arora, Pankaj Mohindra, Ritin Malhotra, Sunita Singh, Gurmeet Guru, Rashmi Ranjan Pandey, Navin Koushal, Vipin Kumar, Ashok Bhogal, Ranjitpal Singh Aggarwal, Arun K Goel, Kapil Malhotra, Pankaj Yaddanapudi, Narayana Mahajan, Pranay Thakur, J S Sehgal, Rakesh Ghosh, Arnab Sehgal, Inderpaul Singh Agarwal, Ritesh Jayashree, Muralidharan Bhalla, Ashish Jain, Sanjay Kochhar, Rakesh Chakrabarti, Arunaloke Puri, Goverdhan Dutt Ram, Jagat Multidimensional dynamic healthcare personnel (HCP)-centric model from a low-income and middle-income country to support and protect COVID-19 warriors: a large prospective cohort study |
title | Multidimensional dynamic healthcare personnel (HCP)-centric model from a low-income and middle-income country to support and protect COVID-19 warriors: a large prospective cohort study |
title_full | Multidimensional dynamic healthcare personnel (HCP)-centric model from a low-income and middle-income country to support and protect COVID-19 warriors: a large prospective cohort study |
title_fullStr | Multidimensional dynamic healthcare personnel (HCP)-centric model from a low-income and middle-income country to support and protect COVID-19 warriors: a large prospective cohort study |
title_full_unstemmed | Multidimensional dynamic healthcare personnel (HCP)-centric model from a low-income and middle-income country to support and protect COVID-19 warriors: a large prospective cohort study |
title_short | Multidimensional dynamic healthcare personnel (HCP)-centric model from a low-income and middle-income country to support and protect COVID-19 warriors: a large prospective cohort study |
title_sort | multidimensional dynamic healthcare personnel (hcp)-centric model from a low-income and middle-income country to support and protect covid-19 warriors: a large prospective cohort study |
topic | Health Policy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902325/ https://www.ncbi.nlm.nih.gov/pubmed/33619195 http://dx.doi.org/10.1136/bmjopen-2020-043837 |
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