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Response adaptive intervention allocation in stepped‐wedge cluster randomized trials

BACKGROUND: Stepped‐wedge cluster randomized trial (SW‐CRT) designs are often used when there is a desire to provide an intervention to all enrolled clusters, because of a belief that it will be effective. However, given there should be equipoise at trial commencement, there has been discussion arou...

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Autores principales: Grayling, Michael J., Wason, James M. S., Villar, Sofía S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612601/
https://www.ncbi.nlm.nih.gov/pubmed/35064595
http://dx.doi.org/10.1002/sim.9317
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author Grayling, Michael J.
Wason, James M. S.
Villar, Sofía S.
author_facet Grayling, Michael J.
Wason, James M. S.
Villar, Sofía S.
author_sort Grayling, Michael J.
collection PubMed
description BACKGROUND: Stepped‐wedge cluster randomized trial (SW‐CRT) designs are often used when there is a desire to provide an intervention to all enrolled clusters, because of a belief that it will be effective. However, given there should be equipoise at trial commencement, there has been discussion around whether a pre‐trial decision to provide the intervention to all clusters is appropriate. In pharmaceutical drug development, a solution to a similar desire to provide more patients with an effective treatment is to use a response adaptive (RA) design. METHODS: We introduce a way in which RA design could be incorporated in an SW‐CRT, permitting modification of the intervention allocation during the trial. The proposed framework explicitly permits a balance to be sought between power and patient benefit considerations. A simulation study evaluates the methodology. RESULTS: In one scenario, for one particular RA design, the proportion of cluster‐periods spent in the intervention condition was observed to increase from 32.2% to 67.9% as the intervention effect was increased. A cost of this was a 6.2% power drop compared to a design that maximized power by fixing the proportion of time in the intervention condition at 45.0%, regardless of the intervention effect. CONCLUSIONS: An RA approach may be most applicable to settings for which the intervention has substantial individual or societal benefit considerations, potentially in combination with notable safety concerns. In such a setting, the proposed methodology may routinely provide the desired adaptability of the roll‐out speed, with only a small cost to the study's power.
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spelling pubmed-76126012022-04-11 Response adaptive intervention allocation in stepped‐wedge cluster randomized trials Grayling, Michael J. Wason, James M. S. Villar, Sofía S. Stat Med Research Articles BACKGROUND: Stepped‐wedge cluster randomized trial (SW‐CRT) designs are often used when there is a desire to provide an intervention to all enrolled clusters, because of a belief that it will be effective. However, given there should be equipoise at trial commencement, there has been discussion around whether a pre‐trial decision to provide the intervention to all clusters is appropriate. In pharmaceutical drug development, a solution to a similar desire to provide more patients with an effective treatment is to use a response adaptive (RA) design. METHODS: We introduce a way in which RA design could be incorporated in an SW‐CRT, permitting modification of the intervention allocation during the trial. The proposed framework explicitly permits a balance to be sought between power and patient benefit considerations. A simulation study evaluates the methodology. RESULTS: In one scenario, for one particular RA design, the proportion of cluster‐periods spent in the intervention condition was observed to increase from 32.2% to 67.9% as the intervention effect was increased. A cost of this was a 6.2% power drop compared to a design that maximized power by fixing the proportion of time in the intervention condition at 45.0%, regardless of the intervention effect. CONCLUSIONS: An RA approach may be most applicable to settings for which the intervention has substantial individual or societal benefit considerations, potentially in combination with notable safety concerns. In such a setting, the proposed methodology may routinely provide the desired adaptability of the roll‐out speed, with only a small cost to the study's power. John Wiley and Sons Inc. 2022-01-21 2022-03-15 /pmc/articles/PMC7612601/ /pubmed/35064595 http://dx.doi.org/10.1002/sim.9317 Text en © 2022 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Grayling, Michael J.
Wason, James M. S.
Villar, Sofía S.
Response adaptive intervention allocation in stepped‐wedge cluster randomized trials
title Response adaptive intervention allocation in stepped‐wedge cluster randomized trials
title_full Response adaptive intervention allocation in stepped‐wedge cluster randomized trials
title_fullStr Response adaptive intervention allocation in stepped‐wedge cluster randomized trials
title_full_unstemmed Response adaptive intervention allocation in stepped‐wedge cluster randomized trials
title_short Response adaptive intervention allocation in stepped‐wedge cluster randomized trials
title_sort response adaptive intervention allocation in stepped‐wedge cluster randomized trials
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612601/
https://www.ncbi.nlm.nih.gov/pubmed/35064595
http://dx.doi.org/10.1002/sim.9317
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