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Improving antenatal detection of small‐for‐gestational‐age fetus: economic evaluation of Growth Assessment Protocol

OBJECTIVE: To determine whether the Growth Assessment Protocol (GAP), as implemented in the DESiGN trial, is cost‐effective in terms of antenatal detection of small‐for‐gestational‐age (SGA) neonate, when compared with standard care. METHODS: This was an incremental cost‐effectiveness analysis under...

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Autores principales: Relph, S., Vieira, M. C., Copas, A., Coxon, K., Alagna, A., Briley, A., Johnson, M., Page, L., Peebles, D., Shennan, A., Thilaganathan, B., Marlow, N., Lees, C., Lawlor, D. A., Khalil, A., Sandall, J., Pasupathy, D., Healey, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828078/
https://www.ncbi.nlm.nih.gov/pubmed/35797108
http://dx.doi.org/10.1002/uog.26022
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author Relph, S.
Vieira, M. C.
Copas, A.
Coxon, K.
Alagna, A.
Briley, A.
Johnson, M.
Page, L.
Peebles, D.
Shennan, A.
Thilaganathan, B.
Marlow, N.
Lees, C.
Lawlor, D. A.
Khalil, A.
Sandall, J.
Pasupathy, D.
Healey, A.
author_facet Relph, S.
Vieira, M. C.
Copas, A.
Coxon, K.
Alagna, A.
Briley, A.
Johnson, M.
Page, L.
Peebles, D.
Shennan, A.
Thilaganathan, B.
Marlow, N.
Lees, C.
Lawlor, D. A.
Khalil, A.
Sandall, J.
Pasupathy, D.
Healey, A.
author_sort Relph, S.
collection PubMed
description OBJECTIVE: To determine whether the Growth Assessment Protocol (GAP), as implemented in the DESiGN trial, is cost‐effective in terms of antenatal detection of small‐for‐gestational‐age (SGA) neonate, when compared with standard care. METHODS: This was an incremental cost‐effectiveness analysis undertaken from the perspective of a UK National Health Service hospital provider. Thirteen maternity units from England, UK, were recruited to the DESiGN (DEtection of Small for GestatioNal age fetus) trial, a cluster randomized controlled trial. Singleton, non‐anomalous pregnancies which delivered after 24 + 0 gestational weeks between November 2015 and February 2019 were analyzed. Probabilistic decision modeling using clinical trial data was undertaken. The main outcomes of the study were the expected incremental cost, the additional number of SGA neonates identified antenatally and the incremental cost‐effectiveness ratio (ICER) (cost per additional SGA neonate identified) of implementing GAP. Secondary analysis focused on the ICER per infant quality‐adjusted life year (QALY) gained. RESULTS: The expected incremental cost (including hospital care and implementation costs) of GAP over standard care was £34 559 per 1000 births, with a 68% probability that implementation of GAP would be associated with increased costs to sustain program delivery. GAP identified an additional 1.77 SGA neonates per 1000 births (55% probability of it being more clinically effective). The ICER for GAP was £19 525 per additional SGA neonate identified, with a 44% probability that GAP would both increase cost and identify more SGA neonates compared with standard care. The probability of GAP being the dominant clinical strategy was low (11%). The expected incremental cost per infant QALY gained ranged from £68 242 to £545 940, depending on assumptions regarding the QALY value of detection of SGA. CONCLUSION: The economic case for replacing standard care with GAP is weak based on the analysis reported in our study. However, this conclusion should be viewed taking into account that cost‐effectiveness analyses are always limited by the assumptions made. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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spelling pubmed-98280782023-01-10 Improving antenatal detection of small‐for‐gestational‐age fetus: economic evaluation of Growth Assessment Protocol Relph, S. Vieira, M. C. Copas, A. Coxon, K. Alagna, A. Briley, A. Johnson, M. Page, L. Peebles, D. Shennan, A. Thilaganathan, B. Marlow, N. Lees, C. Lawlor, D. A. Khalil, A. Sandall, J. Pasupathy, D. Healey, A. Ultrasound Obstet Gynecol Original Papers OBJECTIVE: To determine whether the Growth Assessment Protocol (GAP), as implemented in the DESiGN trial, is cost‐effective in terms of antenatal detection of small‐for‐gestational‐age (SGA) neonate, when compared with standard care. METHODS: This was an incremental cost‐effectiveness analysis undertaken from the perspective of a UK National Health Service hospital provider. Thirteen maternity units from England, UK, were recruited to the DESiGN (DEtection of Small for GestatioNal age fetus) trial, a cluster randomized controlled trial. Singleton, non‐anomalous pregnancies which delivered after 24 + 0 gestational weeks between November 2015 and February 2019 were analyzed. Probabilistic decision modeling using clinical trial data was undertaken. The main outcomes of the study were the expected incremental cost, the additional number of SGA neonates identified antenatally and the incremental cost‐effectiveness ratio (ICER) (cost per additional SGA neonate identified) of implementing GAP. Secondary analysis focused on the ICER per infant quality‐adjusted life year (QALY) gained. RESULTS: The expected incremental cost (including hospital care and implementation costs) of GAP over standard care was £34 559 per 1000 births, with a 68% probability that implementation of GAP would be associated with increased costs to sustain program delivery. GAP identified an additional 1.77 SGA neonates per 1000 births (55% probability of it being more clinically effective). The ICER for GAP was £19 525 per additional SGA neonate identified, with a 44% probability that GAP would both increase cost and identify more SGA neonates compared with standard care. The probability of GAP being the dominant clinical strategy was low (11%). The expected incremental cost per infant QALY gained ranged from £68 242 to £545 940, depending on assumptions regarding the QALY value of detection of SGA. CONCLUSION: The economic case for replacing standard care with GAP is weak based on the analysis reported in our study. However, this conclusion should be viewed taking into account that cost‐effectiveness analyses are always limited by the assumptions made. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology. John Wiley & Sons, Ltd. 2022-11-01 2022-11 /pmc/articles/PMC9828078/ /pubmed/35797108 http://dx.doi.org/10.1002/uog.26022 Text en © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology. 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 Original Papers
Relph, S.
Vieira, M. C.
Copas, A.
Coxon, K.
Alagna, A.
Briley, A.
Johnson, M.
Page, L.
Peebles, D.
Shennan, A.
Thilaganathan, B.
Marlow, N.
Lees, C.
Lawlor, D. A.
Khalil, A.
Sandall, J.
Pasupathy, D.
Healey, A.
Improving antenatal detection of small‐for‐gestational‐age fetus: economic evaluation of Growth Assessment Protocol
title Improving antenatal detection of small‐for‐gestational‐age fetus: economic evaluation of Growth Assessment Protocol
title_full Improving antenatal detection of small‐for‐gestational‐age fetus: economic evaluation of Growth Assessment Protocol
title_fullStr Improving antenatal detection of small‐for‐gestational‐age fetus: economic evaluation of Growth Assessment Protocol
title_full_unstemmed Improving antenatal detection of small‐for‐gestational‐age fetus: economic evaluation of Growth Assessment Protocol
title_short Improving antenatal detection of small‐for‐gestational‐age fetus: economic evaluation of Growth Assessment Protocol
title_sort improving antenatal detection of small‐for‐gestational‐age fetus: economic evaluation of growth assessment protocol
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828078/
https://www.ncbi.nlm.nih.gov/pubmed/35797108
http://dx.doi.org/10.1002/uog.26022
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