z-logo
Premium
E‐learning and health inequality aversion: A questionnaire experiment
Author(s) -
Cookson Richard,
Ali Shehzad,
Tsuchiya Aki,
Asaria Miqdad
Publication year - 2018
Publication title -
health economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.55
H-Index - 109
eISSN - 1099-1050
pISSN - 1057-9230
DOI - 10.1002/hec.3799
Subject(s) - normative , inequity aversion , psychological intervention , inequality , risk aversion (psychology) , intervention (counseling) , health equity , psychology , public economics , economics , public health , social psychology , medicine , political science , nursing , expected utility hypothesis , mathematics , mathematical analysis , mathematical economics , law
In principle, questionnaire data on public views about hypothetical trade‐offs between improving total health and reducing health inequality can provide useful normative health inequality aversion parameter benchmarks for policymakers faced with real trade‐offs of this kind. However, trade‐off questions can be hard to understand, and one standard type of question finds that a high proportion of respondents—sometimes a majority—appear to give exclusive priority to reducing health inequality. We developed and tested two e‐learning interventions designed to help respondents understand this question more completely. The interventions were a video animation, exposing respondents to rival points of view, and a spreadsheet‐based questionnaire that provided feedback on implied trade‐offs. We found large effects of both interventions in reducing the proportion of respondents giving exclusive priority to reducing health inequality, though the median responses still implied a high degree of health inequality aversion and—unlike the video—the spreadsheet‐based intervention introduced a substantial new minority of non‐egalitarian responses. E‐learning may introduce as well as avoid biases but merits further research and may be useful in other questionnaire studies involving trade‐offs between conflicting values.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here