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Implementation of data triangulation and dashboard development for COVID-19 vaccine adverse event following immunisation (AEFI) data in Nigeria

Nigeria began administering COVID-19 vaccines on 5 March 2021 and is working towards the WHO’s African regional goal to fully vaccinate 70% of their eligible population by December 2022. Nigeria’s COVID-19 vaccination information system includes a surveillance system for COVID-19 adverse events foll...

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Autores principales: Shragai, Talya, Adegoke, Oluwasegun Joel, Ikwe, Hadley, Sorungbe, Temilade, Haruna, Aminu, Williams, Imoiboho, Okonkwo, Rita, Onu, Kenneth, Asekun, Adeyelu, Gberikon, Margaret, Iwara, Emem, Abimiku, Alash'le, Rufai, Ahmed, Okposen, Bassey, Gidudu, Jane, Lam, Eugene, Bolu, Omotayo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852739/
https://www.ncbi.nlm.nih.gov/pubmed/36650016
http://dx.doi.org/10.1136/bmjgh-2022-011006
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author Shragai, Talya
Adegoke, Oluwasegun Joel
Ikwe, Hadley
Sorungbe, Temilade
Haruna, Aminu
Williams, Imoiboho
Okonkwo, Rita
Onu, Kenneth
Asekun, Adeyelu
Gberikon, Margaret
Iwara, Emem
Abimiku, Alash'le
Rufai, Ahmed
Okposen, Bassey
Gidudu, Jane
Lam, Eugene
Bolu, Omotayo
author_facet Shragai, Talya
Adegoke, Oluwasegun Joel
Ikwe, Hadley
Sorungbe, Temilade
Haruna, Aminu
Williams, Imoiboho
Okonkwo, Rita
Onu, Kenneth
Asekun, Adeyelu
Gberikon, Margaret
Iwara, Emem
Abimiku, Alash'le
Rufai, Ahmed
Okposen, Bassey
Gidudu, Jane
Lam, Eugene
Bolu, Omotayo
author_sort Shragai, Talya
collection PubMed
description Nigeria began administering COVID-19 vaccines on 5 March 2021 and is working towards the WHO’s African regional goal to fully vaccinate 70% of their eligible population by December 2022. Nigeria’s COVID-19 vaccination information system includes a surveillance system for COVID-19 adverse events following immunisation (AEFI), but as of April 2021, AEFI data were being collected and managed by multiple groups and lacked routine analysis and use for action. To fill this gap in COVID-19 vaccine safety monitoring, between April 2021 and June 2022, the US Centers for Disease Control and Prevention, in collaboration with other implementing partners led by the Institute of Human Virology Nigeria, supported the Government of Nigeria to triangulate existing COVID-19 AEFI data. This paper describes the process of implementing published draft guidelines for data triangulation for COVID-19 AEFI data in Nigeria. Here, we focus on the process of implementing data triangulation rather than analysing the results and impacts of triangulation. Work began by mapping the flow of COVID-19 AEFI data, engaging stakeholders and building a data management system to intake and store all shared data. These datasets were used to create an online dashboard with key indicators selected based on existing WHO guidelines and national guidance. The dashboard went through an iterative review before dissemination to stakeholders. This case study highlights a successful example of implementing data triangulation for rapid use of AEFI data for decision-making and emphasises the importance of stakeholder engagement and strong data governance structures to make data triangulation successful.
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spelling pubmed-98527392023-01-20 Implementation of data triangulation and dashboard development for COVID-19 vaccine adverse event following immunisation (AEFI) data in Nigeria Shragai, Talya Adegoke, Oluwasegun Joel Ikwe, Hadley Sorungbe, Temilade Haruna, Aminu Williams, Imoiboho Okonkwo, Rita Onu, Kenneth Asekun, Adeyelu Gberikon, Margaret Iwara, Emem Abimiku, Alash'le Rufai, Ahmed Okposen, Bassey Gidudu, Jane Lam, Eugene Bolu, Omotayo BMJ Glob Health Practice Nigeria began administering COVID-19 vaccines on 5 March 2021 and is working towards the WHO’s African regional goal to fully vaccinate 70% of their eligible population by December 2022. Nigeria’s COVID-19 vaccination information system includes a surveillance system for COVID-19 adverse events following immunisation (AEFI), but as of April 2021, AEFI data were being collected and managed by multiple groups and lacked routine analysis and use for action. To fill this gap in COVID-19 vaccine safety monitoring, between April 2021 and June 2022, the US Centers for Disease Control and Prevention, in collaboration with other implementing partners led by the Institute of Human Virology Nigeria, supported the Government of Nigeria to triangulate existing COVID-19 AEFI data. This paper describes the process of implementing published draft guidelines for data triangulation for COVID-19 AEFI data in Nigeria. Here, we focus on the process of implementing data triangulation rather than analysing the results and impacts of triangulation. Work began by mapping the flow of COVID-19 AEFI data, engaging stakeholders and building a data management system to intake and store all shared data. These datasets were used to create an online dashboard with key indicators selected based on existing WHO guidelines and national guidance. The dashboard went through an iterative review before dissemination to stakeholders. This case study highlights a successful example of implementing data triangulation for rapid use of AEFI data for decision-making and emphasises the importance of stakeholder engagement and strong data governance structures to make data triangulation successful. BMJ Publishing Group 2023-01-17 /pmc/articles/PMC9852739/ /pubmed/36650016 http://dx.doi.org/10.1136/bmjgh-2022-011006 Text en © Author(s) (or their employer(s)) 2023. 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 Practice
Shragai, Talya
Adegoke, Oluwasegun Joel
Ikwe, Hadley
Sorungbe, Temilade
Haruna, Aminu
Williams, Imoiboho
Okonkwo, Rita
Onu, Kenneth
Asekun, Adeyelu
Gberikon, Margaret
Iwara, Emem
Abimiku, Alash'le
Rufai, Ahmed
Okposen, Bassey
Gidudu, Jane
Lam, Eugene
Bolu, Omotayo
Implementation of data triangulation and dashboard development for COVID-19 vaccine adverse event following immunisation (AEFI) data in Nigeria
title Implementation of data triangulation and dashboard development for COVID-19 vaccine adverse event following immunisation (AEFI) data in Nigeria
title_full Implementation of data triangulation and dashboard development for COVID-19 vaccine adverse event following immunisation (AEFI) data in Nigeria
title_fullStr Implementation of data triangulation and dashboard development for COVID-19 vaccine adverse event following immunisation (AEFI) data in Nigeria
title_full_unstemmed Implementation of data triangulation and dashboard development for COVID-19 vaccine adverse event following immunisation (AEFI) data in Nigeria
title_short Implementation of data triangulation and dashboard development for COVID-19 vaccine adverse event following immunisation (AEFI) data in Nigeria
title_sort implementation of data triangulation and dashboard development for covid-19 vaccine adverse event following immunisation (aefi) data in nigeria
topic Practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852739/
https://www.ncbi.nlm.nih.gov/pubmed/36650016
http://dx.doi.org/10.1136/bmjgh-2022-011006
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