Title |
Incorporating equity in economic evaluations: a multi-attribute equity state approach
|
---|---|
Published in |
HEPAC Health Economics in Prevention and Care, June 2017
|
DOI | 10.1007/s10198-017-0897-3 |
Pubmed ID | |
Authors |
Jeff Round, Mike Paulden |
Abstract |
In publicly funded health care systems, decision makers must continually balance often conflicting priorities of efficiency and equity. Health economists have developed a set of highly sophisticated analytical methods for assessing efficiency, but less attention has been paid to formally incorporating equity considerations into analyses. As a result, where equity is considered is often informal, ad hoc and/or simplistic. This paper is a proposal for a mechanism for formally incorporating equity within the decision process. It begins with an overview of the current literature on equity weighting. It then considers the case of a single equity domain and illustrates how this is currently applied in practice by the UK's National Institute for Health and Care Excellence. It then proposes a more comprehensive method for considering the multi-attribute equity state, where a population exhibits more than one trait considered worthy of differential weighting. Finally, the paper proposes a mechanism by which this could be applied in practice, and concludes with a discussion of the challenges for applying multi-attribute equity weighting. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 38% |
Spain | 2 | 25% |
New Zealand | 1 | 13% |
Canada | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 50% |
Scientists | 2 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 88 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 18% |
Researcher | 15 | 17% |
Student > Master | 13 | 15% |
Student > Bachelor | 8 | 9% |
Student > Doctoral Student | 6 | 7% |
Other | 12 | 14% |
Unknown | 18 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 20% |
Economics, Econometrics and Finance | 11 | 13% |
Social Sciences | 9 | 10% |
Nursing and Health Professions | 8 | 9% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
Other | 8 | 9% |
Unknown | 32 | 36% |