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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-7612601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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