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


Journal

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
ISSN: 1469-0705
Titre abrégé: Ultrasound Obstet Gynecol
Pays: England
ID NLM: 9108340

Informations de publication

Date de publication:
11 2022
Historique:
revised: 19 06 2022
received: 26 04 2022
accepted: 23 06 2022
pubmed: 8 7 2022
medline: 4 11 2022
entrez: 7 7 2022
Statut: ppublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 35797108
doi: 10.1002/uog.26022
pmc: PMC9828078
doi:

Types de publication

Clinical Trial Protocol Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

620-631

Subventions

Organisme : Medical Research Council
ID : MC_UU_00011/6
Pays : United Kingdom

Informations de copyright

© 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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Auteurs

S Relph (S)

Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

M C Vieira (MC)

Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Department of Obstetrics and Gynaecology, University of Campinas (UNICAMP), School of Medical Sciences, São Paulo, Brazil.

A Copas (A)

Centre for Pragmatic Global Health Trials, Institute for Global Health, University College London, London, UK.

K Coxon (K)

Faculty of Health, Social Care and Education, Kingston and St George's University, London, UK.

A Alagna (A)

The Guy's & St Thomas' Charity, London, UK.

A Briley (A)

Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.

M Johnson (M)

Department of Surgery and Cancer, Imperial College London, London, UK.

L Page (L)

West Middlesex University Hospital, Chelsea & Westminster Hospital NHS Foundation Trust, London, UK.

D Peebles (D)

UCL Institute for Women's Health, University College London, London, UK.

A Shennan (A)

Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

B Thilaganathan (B)

Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK.
Molecular & Clinical Sciences Research Institute, St George's, University of London, London, UK.

N Marlow (N)

UCL Institute for Women's Health, University College London, London, UK.

C Lees (C)

Department of Surgery and Cancer, Imperial College London, London, UK.

D A Lawlor (DA)

Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.
Bristol NIHR Biomedical Research Centre, Bristol, UK.

A Khalil (A)

Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK.
Molecular & Clinical Sciences Research Institute, St George's, University of London, London, UK.

J Sandall (J)

Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

D Pasupathy (D)

Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Reproduction and Perinatal Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.

A Healey (A)

Department of Health Service and Population Research, David Goldberg Centre, King's College London, London, UK.

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