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Technology-assisted adaptive recruitment strategy for a large nation-wide COVID-19 vaccine immunogenicity study in Brunei
A national study was conducted in Brunei to assess and compare the immunogenicity of the various brands of COVID-19 vaccines administered to the population as part of the National COVID-19 Vaccination Programme. Most of the population have had received at least 2 doses of BBIBP-CorV, AZD1222 or MRNA...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511035/ https://www.ncbi.nlm.nih.gov/pubmed/36172211 http://dx.doi.org/10.3389/fpubh.2022.983571 |
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author | Shim, Chin Yee Chan, Si Yee Wei, Yuan Ghani, Hazim Ahmad, Liyana Sharif, Hanisah Alikhan, Mohammad Fathi Haji Bagol, Saifuddien Taib, Surita Tan, Chee Wah Ong, Xin Mei Wang, Lin-Fa Wang, Yan Liu, An Qi Lim, Hong Shen Wong, Justin Naing, Lin Cunningham, Anne Catherine |
author_facet | Shim, Chin Yee Chan, Si Yee Wei, Yuan Ghani, Hazim Ahmad, Liyana Sharif, Hanisah Alikhan, Mohammad Fathi Haji Bagol, Saifuddien Taib, Surita Tan, Chee Wah Ong, Xin Mei Wang, Lin-Fa Wang, Yan Liu, An Qi Lim, Hong Shen Wong, Justin Naing, Lin Cunningham, Anne Catherine |
author_sort | Shim, Chin Yee |
collection | PubMed |
description | A national study was conducted in Brunei to assess and compare the immunogenicity of the various brands of COVID-19 vaccines administered to the population as part of the National COVID-19 Vaccination Programme. Most of the population have had received at least 2 doses of BBIBP-CorV, AZD1222 or MRNA-1273 vaccines. Neutralising antibodies against SARS-CoV-2 induced by these vaccines will be analysed to infer population-level immune protection against COVID-19. During the 5-week recruitment period, 24,260 eligible individuals were invited to the study via SMS, out of which 2,712 participants were enrolled into the study. This paper describes the novel adaptive strategy used to recruit the study participants. Digital technology was leveraged to perform targeted online recruitment to circumvent the limitations of traditional recruitment methods. Technology also enabled stratified random selection of these eligible individuals who were stratified based on age, gender and vaccine brand. Data was extracted from the electronic health records, the national mobile health application and a third-party survey platform and integrated into a dedicated research platform called EVYDResearch. The instant availability and access to up-to-date data on EVYDResearch enabled the study team to meet weekly and adopt an adaptive recruitment strategy informed by behavioural science, where interventions could be quickly implemented to improve response rates. Some examples of these include incorporating nudge messaging into SMS invitations, involving the Minister of Health to make press announcements on this study, media coverage, setting up an enquiries hotline and reaching out to foreign language speaking expatriates of a local multinational company to participate in this study. Data integration from various data sources, real time information sharing and a strong teamwork led to good outcomes adaptable to the progress of recruitment, compared to the more time-consuming and static traditional recruitment methods. |
format | Online Article Text |
id | pubmed-9511035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95110352022-09-27 Technology-assisted adaptive recruitment strategy for a large nation-wide COVID-19 vaccine immunogenicity study in Brunei Shim, Chin Yee Chan, Si Yee Wei, Yuan Ghani, Hazim Ahmad, Liyana Sharif, Hanisah Alikhan, Mohammad Fathi Haji Bagol, Saifuddien Taib, Surita Tan, Chee Wah Ong, Xin Mei Wang, Lin-Fa Wang, Yan Liu, An Qi Lim, Hong Shen Wong, Justin Naing, Lin Cunningham, Anne Catherine Front Public Health Public Health A national study was conducted in Brunei to assess and compare the immunogenicity of the various brands of COVID-19 vaccines administered to the population as part of the National COVID-19 Vaccination Programme. Most of the population have had received at least 2 doses of BBIBP-CorV, AZD1222 or MRNA-1273 vaccines. Neutralising antibodies against SARS-CoV-2 induced by these vaccines will be analysed to infer population-level immune protection against COVID-19. During the 5-week recruitment period, 24,260 eligible individuals were invited to the study via SMS, out of which 2,712 participants were enrolled into the study. This paper describes the novel adaptive strategy used to recruit the study participants. Digital technology was leveraged to perform targeted online recruitment to circumvent the limitations of traditional recruitment methods. Technology also enabled stratified random selection of these eligible individuals who were stratified based on age, gender and vaccine brand. Data was extracted from the electronic health records, the national mobile health application and a third-party survey platform and integrated into a dedicated research platform called EVYDResearch. The instant availability and access to up-to-date data on EVYDResearch enabled the study team to meet weekly and adopt an adaptive recruitment strategy informed by behavioural science, where interventions could be quickly implemented to improve response rates. Some examples of these include incorporating nudge messaging into SMS invitations, involving the Minister of Health to make press announcements on this study, media coverage, setting up an enquiries hotline and reaching out to foreign language speaking expatriates of a local multinational company to participate in this study. Data integration from various data sources, real time information sharing and a strong teamwork led to good outcomes adaptable to the progress of recruitment, compared to the more time-consuming and static traditional recruitment methods. Frontiers Media S.A. 2022-09-12 /pmc/articles/PMC9511035/ /pubmed/36172211 http://dx.doi.org/10.3389/fpubh.2022.983571 Text en Copyright © 2022 Shim, Chan, Wei, Ghani, Ahmad, Sharif, Alikhan, Haji Bagol, Taib, Tan, Ong, Wang, Wang, Liu, Lim, Wong, Naing and Cunningham. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Shim, Chin Yee Chan, Si Yee Wei, Yuan Ghani, Hazim Ahmad, Liyana Sharif, Hanisah Alikhan, Mohammad Fathi Haji Bagol, Saifuddien Taib, Surita Tan, Chee Wah Ong, Xin Mei Wang, Lin-Fa Wang, Yan Liu, An Qi Lim, Hong Shen Wong, Justin Naing, Lin Cunningham, Anne Catherine Technology-assisted adaptive recruitment strategy for a large nation-wide COVID-19 vaccine immunogenicity study in Brunei |
title | Technology-assisted adaptive recruitment strategy for a large nation-wide COVID-19 vaccine immunogenicity study in Brunei |
title_full | Technology-assisted adaptive recruitment strategy for a large nation-wide COVID-19 vaccine immunogenicity study in Brunei |
title_fullStr | Technology-assisted adaptive recruitment strategy for a large nation-wide COVID-19 vaccine immunogenicity study in Brunei |
title_full_unstemmed | Technology-assisted adaptive recruitment strategy for a large nation-wide COVID-19 vaccine immunogenicity study in Brunei |
title_short | Technology-assisted adaptive recruitment strategy for a large nation-wide COVID-19 vaccine immunogenicity study in Brunei |
title_sort | technology-assisted adaptive recruitment strategy for a large nation-wide covid-19 vaccine immunogenicity study in brunei |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511035/ https://www.ncbi.nlm.nih.gov/pubmed/36172211 http://dx.doi.org/10.3389/fpubh.2022.983571 |
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