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The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage

BACKGROUND: While most Australian children are vaccinated, delays in vaccination can put them at risk from preventable infections. Widespread mobile phone ownership in Australia could allow automated short message service (SMS) reminders to be used as a low-cost strategy to effectively ‘nudge’ paren...

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Autores principales: Currie, Grace E., Totterdell, James, Bowland, Grahame, Leeb, Alan, Peters, Ian, Blyth, Chris C., Waddington, Claire, Marsh, Julie A., Snelling, Thomas L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904255/
https://www.ncbi.nlm.nih.gov/pubmed/36750833
http://dx.doi.org/10.1186/s13063-023-07097-3
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author Currie, Grace E.
Totterdell, James
Bowland, Grahame
Leeb, Alan
Peters, Ian
Blyth, Chris C.
Waddington, Claire
Marsh, Julie A.
Snelling, Thomas L.
author_facet Currie, Grace E.
Totterdell, James
Bowland, Grahame
Leeb, Alan
Peters, Ian
Blyth, Chris C.
Waddington, Claire
Marsh, Julie A.
Snelling, Thomas L.
author_sort Currie, Grace E.
collection PubMed
description BACKGROUND: While most Australian children are vaccinated, delays in vaccination can put them at risk from preventable infections. Widespread mobile phone ownership in Australia could allow automated short message service (SMS) reminders to be used as a low-cost strategy to effectively ‘nudge’ parents towards vaccinating their children on time. METHODS: AuTOMATIC is an adaptive randomised trial which aims to both evaluate and optimise the use of SMS reminders for improving the timely vaccination of children at primary care clinics across Australia. The trial will utilise high levels of digital automation to effect, including eligibility assessment, randomisation, delivery of intervention, data extraction and analysis, thereby allowing healthcare-embedded trial delivery. Up to 10,000 parents attending participating primary care clinics will be randomised to one of 12 different active SMS vaccine reminder content and timing arms or usual practice only (no SMS reminder). The primary outcome is vaccine receipt within 28 days of the scheduled date for the index vaccine (the first scheduled vaccine after randomisation). Secondary analyses will assess receipt and timeliness for all vaccine occasions in all children. Regular scheduled analyses will be performed using Bayesian inference and pre-specified trial decision rules, enabling response adaptive randomisation, suspension of any poorly performing arms and early stopping if a single best message is identified. DISCUSSION: This study will aim to optimise SMS reminders for childhood vaccination in primary care clinics, directly comparing alternative message framing and message timing. We anticipate that the trial will be an exemplar in using Bayesian adaptive methodology to assess a readily implementable strategy in a wide population, capable of delivery due to the levels of digital automation. Methods and findings from this study will help to inform strategies for implementing reminders and embedding analytics in primary health care settings. TRIAL REGISTRATION: ANZCTR: ACTRN12618000789268. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-023-07097-3.
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spelling pubmed-99042552023-02-07 The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage Currie, Grace E. Totterdell, James Bowland, Grahame Leeb, Alan Peters, Ian Blyth, Chris C. Waddington, Claire Marsh, Julie A. Snelling, Thomas L. Trials Study Protocol BACKGROUND: While most Australian children are vaccinated, delays in vaccination can put them at risk from preventable infections. Widespread mobile phone ownership in Australia could allow automated short message service (SMS) reminders to be used as a low-cost strategy to effectively ‘nudge’ parents towards vaccinating their children on time. METHODS: AuTOMATIC is an adaptive randomised trial which aims to both evaluate and optimise the use of SMS reminders for improving the timely vaccination of children at primary care clinics across Australia. The trial will utilise high levels of digital automation to effect, including eligibility assessment, randomisation, delivery of intervention, data extraction and analysis, thereby allowing healthcare-embedded trial delivery. Up to 10,000 parents attending participating primary care clinics will be randomised to one of 12 different active SMS vaccine reminder content and timing arms or usual practice only (no SMS reminder). The primary outcome is vaccine receipt within 28 days of the scheduled date for the index vaccine (the first scheduled vaccine after randomisation). Secondary analyses will assess receipt and timeliness for all vaccine occasions in all children. Regular scheduled analyses will be performed using Bayesian inference and pre-specified trial decision rules, enabling response adaptive randomisation, suspension of any poorly performing arms and early stopping if a single best message is identified. DISCUSSION: This study will aim to optimise SMS reminders for childhood vaccination in primary care clinics, directly comparing alternative message framing and message timing. We anticipate that the trial will be an exemplar in using Bayesian adaptive methodology to assess a readily implementable strategy in a wide population, capable of delivery due to the levels of digital automation. Methods and findings from this study will help to inform strategies for implementing reminders and embedding analytics in primary health care settings. TRIAL REGISTRATION: ANZCTR: ACTRN12618000789268. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-023-07097-3. BioMed Central 2023-02-07 /pmc/articles/PMC9904255/ /pubmed/36750833 http://dx.doi.org/10.1186/s13063-023-07097-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Study Protocol
Currie, Grace E.
Totterdell, James
Bowland, Grahame
Leeb, Alan
Peters, Ian
Blyth, Chris C.
Waddington, Claire
Marsh, Julie A.
Snelling, Thomas L.
The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage
title The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage
title_full The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage
title_fullStr The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage
title_full_unstemmed The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage
title_short The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage
title_sort automatic trial: a study protocol for a multi-arm bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904255/
https://www.ncbi.nlm.nih.gov/pubmed/36750833
http://dx.doi.org/10.1186/s13063-023-07097-3
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