Uncertainty around Health State Values Used in Cost-Effectiveness Analysis: How It Arises and How to Deal with It.
Health state values, often in the form of value sets that list values applied to particular health states, are used in cost-effectiveness analyses of health care to calculate gains in quality-adjusted life-years. These values are subject to several sources of uncertainty, arising from the fact that...
| Publicado en: | Medical Decision Making Vol. 46; no. 2; pp. 130 - 144 |
|---|---|
| Autores principales: | , , , , |
| Formato: | questions and answers review tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Feb2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190662478&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190662478 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0272989X DKI jtl: Medical Decision Making issn: 0272989X maglogo: Y pubinfo: dt: Feb2026 vid: 46 iid: 2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 190662478 190290936 190662478 190662478 10.1177/0272989X251380556 190662478 ppf: 130 ppct: 14 formats: tig: atl: Uncertainty around Health State Values Used in Cost-Effectiveness Analysis: How It Arises and How to Deal with It. aug: au: Parkin, David Briggs, Andrew Abangma, Giselle Lloyd, Andrew Devlin, Nancy affil: Office of Health Economics, London UK sug: subj: Cost Effectiveness Analysis Health Status Quality-Adjusted Life Years Uncertainty Measurement Issues and Assessments Variable Data Analysis Sampling Error Technology, Medical Research Methodology Decision Making ab: Health state values, often in the form of value sets that list values applied to particular health states, are used in cost-effectiveness analyses of health care to calculate gains in quality-adjusted life-years. These values are subject to several sources of uncertainty, arising from the fact that values are not constants but variables and are of different types including variability, heterogeneity, statistical uncertainty, and methodological variation. Currently, these sources are not fully documented and are not fully accounted for when creating and analyzing economic evaluation models. This may provide to users of such models a false sense of the precision of quality-adjusted life-year gain estimates and therefore of cost-effectiveness. This article provides a comprehensive account of such sources of uncertainty and how they interact. It also provides a more detailed account of how uncertainty arises in studies that elicit and model value sets. Its aim is to encourage research to measure and report uncertainty around health state values so it can be better accounted for in cost-effectiveness analyses. Highlights: Health state values (HSVs) used in cost-effectiveness analysis are subject to multiple types of uncertainty, including variability, heterogeneity, statistical uncertainty, and methodological variation. Current reporting and guidelines often fail to fully document or address all sources of uncertainty in HSVs, which can mislead users about the precision of QALY and cost-effectiveness estimates. Valuation studies should report measures of uncertainty (such as standard errors or variance/covariance matrices) for HSVs, not just point estimates. Researchers, decision modellers, and guideline developers should recognise, measure, and report HSV uncertainty more thoroughly to improve the reliability of cost-effectiveness analyses. pubtype: Academic Journal doctype: questions and answers review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|