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| Regulatory Impact Analysis× | Cost-Utility Analysis× | |
|---|---|---|
| Campo | Public Policy | Public Policy |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1995 | 2015 |
| Ideatore≠ | Government regulatory-reform practice; standardised by the OECD | Health-economics community; standardised by Drummond and colleagues |
| Tipo≠ | Systematic ex-ante appraisal of proposed regulation | Economic evaluation expressing outcomes in utility-weighted health |
| Fonte seminale≠ | OECD (2020). Regulatory Impact Assessment, OECD Best Practice Principles for Regulatory Policy. Paris: OECD Publishing. DOI ↗ | Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the Economic Evaluation of Health Care Programmes (4th ed.). Oxford: Oxford University Press. ISBN: 9780199665877 |
| Alias | RIA, Regulatory Impact Assessment, Impact Assessment of Regulation | CUA, Cost per QALY Analysis, QALY-Based Economic Evaluation |
| Correlati≠ | 4 | 3 |
| Sintesi≠ | Regulatory impact analysis (RIA) is a systematic process for appraising the likely costs, benefits and effects of proposed regulation before it is adopted. Promoted by the OECD as a cornerstone of good regulatory governance, it requires governments to define the problem a regulation is meant to solve, set out alternative options including non-regulatory ones, assess the impacts of each against a do-nothing baseline, consult affected parties, and recommend the option that delivers the greatest net benefit. RIA aims to ensure that new rules are evidence-based, proportionate and justified rather than imposed without examination of their consequences. | Cost-utility analysis (CUA) is a form of economic evaluation that compares the costs of alternative interventions with their outcomes expressed in a common, preference-based measure of health — most often the quality-adjusted life year (QALY), or in global health the disability-adjusted life year (DALY). By combining length and quality of life into a single index, CUA allows interventions with very different effects to be compared on a like-for-like basis, and it produces an incremental cost-effectiveness ratio expressed as cost per QALY gained. It is the dominant method for informing decisions about which health technologies and programs to fund. |
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