Ilhem Berrou Ilhem.Berrou@uwe.ac.uk
Senior Lecturer in Applied Pharmacology
Lessons learnt from the implementation of the Covid-19 vaccination programme in the Southwest of England
Berrou, Ilhem; Hobbs, Laura; Jones, Sue; Hughes, Sian; Bailey, Hannah; Quigg, Sally; Manning, Thomas; Morris, Anne
Authors
Dr Laura Hobbs Laura5.Hobbs@uwe.ac.uk
Senior Research Fellow - CHSS - DAS
Sue Jones
Sian Hughes
Hannah Bailey
Sally Quigg
Thomas Manning
Anne Morris
Abstract
Background
Vaccination remains one of the most successful public health interventions in preventing severe disease and death. The roll-out of Covid-19 vaccination programmes has helped protect billions of people around the world against Covid-19. Most of these programmes have been unprecedented in terms of scale and resources, and have been implemented at times of significant humanitarian crisis. This study aims to outline the lessons learnt from the implementation of a regional Covid-19 vaccination programme. These will help inform emergency preparedness and future crisis management.
Methods
This qualitative study sought to explore the key drivers to the successful implementation of the Covid-19 vaccination programme in a region in the Southwest of England, applying the Normalisation Process Theory lens (NPT) to examine multi-stakeholder perspectives. Data collection involved semi-structured interviews with 75 participants. Document analysis was also used to corroborate the findings emerging from the interviews. Inductive thematic analysis of the data was used to identify the key drivers for the successful implementation of the programme. The NPT lens was then applied to map the themes identified to the domains and constructs of the framework.
Results
Ten key drivers to the successful implementation of the Covid-19 vaccination programme locally were identified, including: the clarity and consistency of the programme’s goal; the diverse representation of stakeholders within the programme leadership team and the mechanisms created by this team to ensure psychological safety, autonomy, operational flexibility and staff empowerment; Communication and data specialists’ input, and collaboration with local communities to maximise the reach of the programme; and allocating funding to tackle health inequalities.
Conclusions
This study highlights the lessons learnt from the implementation of the Covid-19 vaccination programme at a local level, and the mechanisms that can be used in future crises to respond efficiently to the needs of individuals, communities and governments.
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 7, 2024 |
Online Publication Date | Aug 28, 2024 |
Publication Date | Aug 28, 2024 |
Deposit Date | Aug 29, 2024 |
Publicly Available Date | Aug 29, 2024 |
Journal | PLOS ONE |
Electronic ISSN | 1932-6203 |
Publisher | Public Library of Science |
Peer Reviewed | Peer Reviewed |
Volume | 19 |
Issue | 8 |
Article Number | e0309230 |
DOI | https://doi.org/10.1371/journal.pone.0309230 |
Keywords | implementation, public health, vaccination, Covid-19, BNSSG |
Public URL | https://uwe-repository.worktribe.com/output/12820758 |
Ensure healthy lives and promote well-being for all at all ages
Files
Lessons learnt from the implementation of the Covid-19 vaccination programme in the Southwest of England
(1.4 Mb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
You might also like
Making clinical consultations inclusive for people with learning disabilities
(2024)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search