Exploring the Cost-Effectiveness of Newborn Screening for Metachromatic Leukodystrophy (MLD) in the UK.

MLD NHS cost utility analysis cost-effectiveness decision-tree model metachromatic leukodystrophy newborn screening

Journal

International journal of neonatal screening
ISSN: 2409-515X
Titre abrégé: Int J Neonatal Screen
Pays: Switzerland
ID NLM: 101665400

Informations de publication

Date de publication:
26 Jun 2024
Historique:
received: 08 03 2024
revised: 12 06 2024
accepted: 17 06 2024
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 25 7 2024
Statut: epublish

Résumé

Metachromatic leukodystrophy (MLD) is a fatal inherited lysosomal storage disease that can be detected through newborn bloodspot screening. The feasibility of the screening assay and the clinical rationale for screening for MLD have been previously demonstrated, so the aim of this study is to determine whether the addition of screening for MLD to the routine newborn screening program in the UK is a cost-effective use of National Health Service (NHS) resources. A health economic analysis from the perspective of the NHS and Personal Social Services was developed based on a decision-tree framework for each MLD subtype using long-term outcomes derived from a previously presented partitioned survival and Markov economic model. Modelling inputs for parameters related to epidemiology, test characteristics, screening and treatment costs were based on data from three major UK specialist MLD hospitals, structured expert opinion and published literature. Lifetime costs and quality-adjusted life years (QALYs) were discounted at 1.5% to account for time preference. Uncertainty associated with the parameter inputs was explored using sensitivity analyses. This health economic analysis demonstrates that newborn screening for MLD is a cost-effective use of NHS resources using a willingness-to-pay threshold appropriate to the severity of the disease; and supports the inclusion of MLD into the routine newborn screening programme in the UK.

Identifiants

pubmed: 39051401
pii: ijns10030045
doi: 10.3390/ijns10030045
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Karen Bean (K)

Orchard Therapeutics, London W6 8PW, UK.

Simon A Jones (SA)

Division of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.

Anupam Chakrapani (A)

Great Ormond Street Hospital, London WC1N 3JH, UK.

Suresh Vijay (S)

Birmingham Women's and Children NHS Foundation Trust, Birmingham B4 6NH, UK.

Teresa Wu (T)

Division of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.

Heather Church (H)

Division of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.

Charlotte Chanson (C)

Orchard Therapeutics, London W6 8PW, UK.

Andrew Olaye (A)

Orchard Therapeutics, London W6 8PW, UK.

Beckley Miller (B)

Precision AQ, Boston, MA 02108, USA.

Ivar Jensen (I)

Precision AQ, Boston, MA 02108, USA.

Francis Pang (F)

Orchard Therapeutics, London W6 8PW, UK.

Classifications MeSH