Dr MATTHEW JONES MATTHEW.JONES3@NOTTINGHAM.AC.UK
ASSISTANT PROFESSOR IN HEALTH ECONOMICS
Cost-Effectiveness of Screening Algorithms for Familial Hypercholesterolaemia in Primary Care
Jones, Matthew; Akyea, Ralph K.; Payne, Katherine; Humphries, Steve E.; Abdul-Hamid, Hasidah; Weng, Stephen; Qureshi, Nadeem
Authors
Dr RALPH AKYEA RALPH.AKYEA1@NOTTINGHAM.AC.UK
SENIOR RESEARCH FELLOW
Katherine Payne
Steve E. Humphries
Hasidah Abdul-Hamid
Stephen Weng
Professor NADEEM QURESHI nadeem.qureshi@nottingham.ac.uk
CLINICAL PROFESSOR
Abstract
Although familial hypercholesterolemia (FH) screening within primary care is considered cost-effective, which screening approach is cost-effective has not been established. This study determines the cost-effectiveness of six case-finding strategies for screening of electronic health records to identify index patients who have genetically confirmed monogenic FH in English primary care. A decision tree was constructed to represent pathways of care for each approach (FH Case Identification Tool (FAMCAT) versions 1 and 2, cholesterol screening, Dutch Lipid Clinic Network (DLCN), Simon Broome criteria, no active screening). Clinical effectiveness was measured as the number of monogenic FH cases identified. Healthcare costs for each algorithm were evaluated from an NHS England perspective over a 12 week time horizon. The primary outcome was the incremental cost per additional monogenic FH case identified (ICER). FAMCAT2 was found to dominate (cheaper and more effective) cholesterol and FAMCAT1 algorithms, and extendedly dominate DLCN. The ICER for FAMCAT2 vs. no active screening was 8111 GBP (95% CI: 4088 to 14,865), and for Simon Broome vs. FAMCAT2 was 74,059 GBP (95% CI: −1,113,172 to 1,697,142). Simon Broome found the largest number of FH cases yet required 102 genetic tests to identify one FH patient. FAMCAT2 identified fewer, but only required 23 genetic tests.
Citation
Jones, M., Akyea, R. K., Payne, K., Humphries, S. E., Abdul-Hamid, H., Weng, S., & Qureshi, N. (2022). Cost-Effectiveness of Screening Algorithms for Familial Hypercholesterolaemia in Primary Care. Journal of Personalized Medicine, 12(3), Article 330. https://doi.org/10.3390/jpm12030330
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 18, 2022 |
Online Publication Date | Feb 22, 2022 |
Publication Date | Mar 1, 2022 |
Deposit Date | Feb 28, 2022 |
Publicly Available Date | Mar 1, 2022 |
Journal | Journal of Personalized Medicine |
Electronic ISSN | 2075-4426 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 3 |
Article Number | 330 |
DOI | https://doi.org/10.3390/jpm12030330 |
Keywords | economic evaluation; cost-effectiveness; genetics; electronic health records; familial hypercholesterolemia |
Public URL | https://nottingham-repository.worktribe.com/output/7509017 |
Publisher URL | https://www.mdpi.com/2075-4426/12/3/330 |
Files
Jones J Personalized Med 2022
(6.7 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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