Programmatic assessment of electronic Vaccine Intelligence Network (eVIN)

eVIN is a technology system that digitizes vaccine stocks through a smartphone application and builds the capacity of program managers and cold chain handlers to integrate technology in their regular work. To effectively manage the vaccine logistics, in 2015, this technology was rolled-out in 12 sta...

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Autores principales: Gurnani, Vandana, Singh, Prem, Haldar, Pradeep, Aggarwal, Mahesh Kumar, Agrahari, Kiran, Kashyap, Satabdi, Ghosh, Shreeparna, Mohapatra, Mrinal Kar, Bhargava, Ruma, Nandi, Partha, Dhalaria, Pritu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643996/
https://www.ncbi.nlm.nih.gov/pubmed/33151951
http://dx.doi.org/10.1371/journal.pone.0241369
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author Gurnani, Vandana
Singh, Prem
Haldar, Pradeep
Aggarwal, Mahesh Kumar
Agrahari, Kiran
Kashyap, Satabdi
Ghosh, Shreeparna
Mohapatra, Mrinal Kar
Bhargava, Ruma
Nandi, Partha
Dhalaria, Pritu
author_facet Gurnani, Vandana
Singh, Prem
Haldar, Pradeep
Aggarwal, Mahesh Kumar
Agrahari, Kiran
Kashyap, Satabdi
Ghosh, Shreeparna
Mohapatra, Mrinal Kar
Bhargava, Ruma
Nandi, Partha
Dhalaria, Pritu
author_sort Gurnani, Vandana
collection PubMed
description eVIN is a technology system that digitizes vaccine stocks through a smartphone application and builds the capacity of program managers and cold chain handlers to integrate technology in their regular work. To effectively manage the vaccine logistics, in 2015, this technology was rolled-out in 12 states of India. This study assessed the programmatic usefulness of eVIN implementation in the areas of vaccine utilization, vaccine stock and distribution management and documentation across selected cold chain points. A pre-post study design was used, where cold chain points (CCPs) were selected using two-stage sampling technique in eVIN states. Pre-post comparative analysis was carried out on the identified indicators using both primary and secondary data sources. The vaccine utilization data reflects that the utilization had reduced from 305.3 million doses in pre-eVIN period to 215.0 million doses in post-eVIN period across 12 eVIN states, resulting into savings of approximately 90 million doses of vaccines. Number of facilities having stock-out of any vaccine showed a significant reduction by 30.4% in post-eVIN period (p<0.001). There was a 4.0% drop in facilities reporting minimum stock of any vaccine after implementation of eVIN. Facilities with maximum stock of any vaccine had increased from 37.4% in pre-eVIN to 39.2% in post-eVIN. During the pre-eVIN period, only 38.6% facilities updated vaccine stock on a daily basis, while in post-eVIN period, 53.5% facilities updated vaccine stock on daily basis. The completeness of records in the vaccine stock registers, indent form and temperature logbook have been substantially improved in the post-eVIN period (p<0.001). eVIN had helped in streamlining the vaccine flow network and ensured equity through better vaccine management practices. It is a powerful contribution to strengthen the vaccine supply chain and management. Upscaling eVIN in the remaining states of India will be crucial in improving the efficacy of vaccines and cold chain management.
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spelling pubmed-76439962020-11-16 Programmatic assessment of electronic Vaccine Intelligence Network (eVIN) Gurnani, Vandana Singh, Prem Haldar, Pradeep Aggarwal, Mahesh Kumar Agrahari, Kiran Kashyap, Satabdi Ghosh, Shreeparna Mohapatra, Mrinal Kar Bhargava, Ruma Nandi, Partha Dhalaria, Pritu PLoS One Research Article eVIN is a technology system that digitizes vaccine stocks through a smartphone application and builds the capacity of program managers and cold chain handlers to integrate technology in their regular work. To effectively manage the vaccine logistics, in 2015, this technology was rolled-out in 12 states of India. This study assessed the programmatic usefulness of eVIN implementation in the areas of vaccine utilization, vaccine stock and distribution management and documentation across selected cold chain points. A pre-post study design was used, where cold chain points (CCPs) were selected using two-stage sampling technique in eVIN states. Pre-post comparative analysis was carried out on the identified indicators using both primary and secondary data sources. The vaccine utilization data reflects that the utilization had reduced from 305.3 million doses in pre-eVIN period to 215.0 million doses in post-eVIN period across 12 eVIN states, resulting into savings of approximately 90 million doses of vaccines. Number of facilities having stock-out of any vaccine showed a significant reduction by 30.4% in post-eVIN period (p<0.001). There was a 4.0% drop in facilities reporting minimum stock of any vaccine after implementation of eVIN. Facilities with maximum stock of any vaccine had increased from 37.4% in pre-eVIN to 39.2% in post-eVIN. During the pre-eVIN period, only 38.6% facilities updated vaccine stock on a daily basis, while in post-eVIN period, 53.5% facilities updated vaccine stock on daily basis. The completeness of records in the vaccine stock registers, indent form and temperature logbook have been substantially improved in the post-eVIN period (p<0.001). eVIN had helped in streamlining the vaccine flow network and ensured equity through better vaccine management practices. It is a powerful contribution to strengthen the vaccine supply chain and management. Upscaling eVIN in the remaining states of India will be crucial in improving the efficacy of vaccines and cold chain management. Public Library of Science 2020-11-05 /pmc/articles/PMC7643996/ /pubmed/33151951 http://dx.doi.org/10.1371/journal.pone.0241369 Text en © 2020 Gurnani et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gurnani, Vandana
Singh, Prem
Haldar, Pradeep
Aggarwal, Mahesh Kumar
Agrahari, Kiran
Kashyap, Satabdi
Ghosh, Shreeparna
Mohapatra, Mrinal Kar
Bhargava, Ruma
Nandi, Partha
Dhalaria, Pritu
Programmatic assessment of electronic Vaccine Intelligence Network (eVIN)
title Programmatic assessment of electronic Vaccine Intelligence Network (eVIN)
title_full Programmatic assessment of electronic Vaccine Intelligence Network (eVIN)
title_fullStr Programmatic assessment of electronic Vaccine Intelligence Network (eVIN)
title_full_unstemmed Programmatic assessment of electronic Vaccine Intelligence Network (eVIN)
title_short Programmatic assessment of electronic Vaccine Intelligence Network (eVIN)
title_sort programmatic assessment of electronic vaccine intelligence network (evin)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643996/
https://www.ncbi.nlm.nih.gov/pubmed/33151951
http://dx.doi.org/10.1371/journal.pone.0241369
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