Academic Journal
Quantifying the Impact of Intervention on Health Outcomes: A Tool for Assessing Incremental Changes to Life Expectancy.
| Τίτλος: | Quantifying the Impact of Intervention on Health Outcomes: A Tool for Assessing Incremental Changes to Life Expectancy. |
|---|---|
| Συγγραφείς: | Singh S; Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia. Electronic address: symret.singh@health.nsw.gov.au., Rivero-Arias O; Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Nuffield Department of Population Health, National Perinatal Epidemiology Unit, University of Oxford, Oxford, England, UK., Clarke P; Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia. |
| Πηγή: | Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research [Value Health] 2025 Jul; Vol. 28 (7), pp. 988-992. Date of Electronic Publication: 2025 Apr 15. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Elsevier Country of Publication: United States NLM ID: 100883818 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1524-4733 (Electronic) Linking ISSN: 10983015 NLM ISO Abbreviation: Value Health Subsets: MEDLINE |
| Imprint Name(s): | Publication: Jan./Feb. 2011- : New York : Elsevier Original Publication: Malden, MA : Blackwell Science, c1998- |
| Ιατρικοί όροι (MeSH): | Outcome Assessment, Health Care*/methods , Life Expectancy* , Life Tables*, Humans ; Quality-Adjusted Life Years ; Risk Factors ; Aged ; Female ; Middle Aged ; Male ; Cost-Benefit Analysis |
| Περίληψη: | Objectives: Traditional life tables provide valuable insights into mortality patterns but need to be adapted for quantifying the benefits of medical interventions. This article presents a methodology that modifies life tables using relative risk data to estimate incremental changes in life expectancy. Methods: We developed a calculator that applies this approach, allowing users to input risk-factor data with and without intervention to generate adjusted life expectancy estimates. The calculations to modify life-expectancy were based on estimating 'effective age', a concept widely used in risk communication studies. Results: The calculator provides a structured approach for estimating life expectancy changes that can be used for health economic evaluations. Its user-friendly interface offers policy makers and researchers a framework to explore intervention outcomes. Conclusions: By incorporating relative risk data into life tables, this methodology supports a structured but simplified assessment of how medical interventions may influence life expectancy. (Copyright © 2025. Published by Elsevier Inc.) |
| Competing Interests: | Author Disclosures Author disclosure forms can be accessed below in the Supplemental Material section. |
| Contributed Indexing: | Keywords: effective age; life expectancy; life tables; relative risk |
| Entry Date(s): | Date Created: 20250417 Date Completed: 20250704 Latest Revision: 20250730 |
| Update Code: | 20260130 |
| DOI: | 10.1016/j.jval.2025.03.021 |
| PMID: | 40246066 |
| Βάση Δεδομένων: | MEDLINE |
καταχωρήστε σχόλιο πρώτοι!