Health Care Costs After Genome-Wide Sequencing for Children With Rare Diseases in England and Canada.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 Jul 2024
Historique:
medline: 10 7 2024
pubmed: 10 7 2024
entrez: 10 7 2024
Statut: epublish

Résumé

Etiologic diagnoses for rare diseases can involve a diagnostic odyssey, with repeated health care interactions and inconclusive diagnostics. Prior studies reported cost savings associated with genome-wide sequencing (GWS) compared with cytogenetic or molecular testing through rapid genetic diagnosis, but there is limited evidence on whether diagnosis from GWS is associated with reduced health care costs. To measure changes in health care costs after diagnosis from GWS for Canadian and English children with suspected rare diseases. This cohort study was a quasiexperimental retrospective analysis across 3 distinct English and Canadian cohorts, completed in 2023. Mixed-effects generalized linear regression was used to estimate associations between GWS and costs in the 2 years before and after GWS. Difference-in-differences regression was used to estimate associations of genetic diagnosis and costs. Costs are in 2019 US dollars. GWS was conducted in a research setting (Genomics England 100 000 Genomes Project [100KGP] and Clinical Assessment of the Utility of Sequencing and Evaluation as a Service [CAUSES] Research Clinic) or clinical outpatient setting (publicly reimbursed GWS in British Columbia [BC], Canada). Participants were children with developmental disorders, seizure disorders, or both undergoing GWS between 2014 and 2019. Data were analyzed from April 2021 to September 2023. GWS and genetic diagnosis. Annual health care costs and diagnostic costs per child. Study cohorts included 7775 patients in 100KGP, among whom 788 children had epilepsy (mean [SD] age at GWS, 11.6 [11.1] years; 400 female [50.8%]) and 6987 children had an intellectual disability (mean [SD] age at GWS, 8.2 [8.4] years; 2750 female [39.4%]); 77 patients in CAUSES (mean [SD] age at GWS, 8.5 [4.4] years; 33 female [42.9%]); and 118 publicly reimbursed GWS recipients from BC (mean [SD] age at GWS, 5.5 [5.2] years; 58 female [49.2%]). GWS diagnostic yield was 143 children (18.1%) for those with epilepsy and 1323 children (18.9%) for those with an intellectual disability in 100KGP, 47 children (39.8%) in the BC publicly reimbursed setting, and 42 children (54.5%) in CAUSES. Mean annual per-patient spending over the study period was $5283 (95% CI, $5121-$5427) for epilepsy and $3373 (95% CI, $3322-$3424) for intellectual disability in the 100KGP, $724 (95% CI, $563-$886) in CAUSES, and $1573 (95% CI, $1372-$1773) in the BC reimbursed setting. Receiving a genetic diagnosis from GWS was not associated with changed costs in any cohort. In this study, receiving a genetic diagnosis was not associated with cost savings. This finding suggests that patient benefit and cost-effectiveness should instead drive GWS implementation.

Identifiants

pubmed: 38985473
pii: 2820969
doi: 10.1001/jamanetworkopen.2024.20842
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2420842

Auteurs

Deirdre Weymann (D)

Cancer Control Research, BC Cancer Research Institute, Vancouver, British Columbia, Canada.
Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

John Buckell (J)

Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, United Kingdom.
National Institute for Health Research Biomedical Research Centre, Oxford, United Kingdom.

Patrick Fahr (P)

Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.

Rosalie Loewen (R)

Cancer Control Research, BC Cancer Research Institute, Vancouver, British Columbia, Canada.

Morgan Ehman (M)

Cancer Control Research, BC Cancer Research Institute, Vancouver, British Columbia, Canada.

Samantha Pollard (S)

Cancer Control Research, BC Cancer Research Institute, Vancouver, British Columbia, Canada.

Jan M Friedman (JM)

Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.

Sylvia Stockler-Ipsiroglu (S)

BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.
Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Division of Biochemical Genetics, BC Children's Hospital, Vancouver, British Columbia, Canada.

Alison M Elliott (AM)

Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.

Sarah Wordsworth (S)

Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
National Institute for Health Research Biomedical Research Centre, Oxford, United Kingdom.

James Buchanan (J)

Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
National Institute for Health Research Biomedical Research Centre, Oxford, United Kingdom.

Dean A Regier (DA)

Cancer Control Research, BC Cancer Research Institute, Vancouver, British Columbia, Canada.
School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.

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