The Library
Disability weights for infectious diseases in four European countries : comparison between countries and across respondent characteristics
Tools
Tools
Tools
Maertens de Noordhout, Charline, Devleesschauwer, Brecht, Salomon, Joshua A, Turner, Heather, Cassini, Alessandro, Colzani, Edoardo, Speybroeck, Niko, Polinder, Suzanne, Kretzschmar, Mirjam E, Havelaar, Arie H and Haagsma, Juanita A (2018) Disability weights for infectious diseases in four European countries : comparison between countries and across respondent characteristics. European Journal of Public Health, 28 (1). pp. 124-133. doi:10.1093/eurpub/ckx090
Research output not available from this repository, contact author.
Official URL: http://dx.doi.org/10.1093/eurpub/ckx090
Abstract
Background
In 2015, new disability weights (DWs) for infectious diseases were constructed based on data from four European countries. In this paper, we evaluated if country, age, sex, disease experience status, income and educational levels have an impact on these DWs.
Methods
We analyzed paired comparison responses of the European DW study by participants’ characteristics with separate probit regression models. To evaluate the effect of participants’ characteristics, we performed correlation analyses between countries and within country by respondent characteristics and constructed seven probit regression models, including a null model and six models containing participants’ characteristics. We compared these seven models using Akaike Information Criterion (AIC).
Results
According to AIC, the probit model including country as covariate was the best model. We found a lower correlation of the probit coefficients between countries and income levels (range rs: 0.97–0.99, P < 0.01) than between age groups (range rs: 0.98–0.99, P < 0.01), educational level (range rs: 0.98–0.99, P < 0.01), sex (rs = 0.99, P < 0.01) and disease status (rs = 0.99, P < 0.01). Within country the lowest correlations of the probit coefficients were between low and high income level (range rs = 0.89–0.94, P < 0.01).
Conclusions
We observed variations in health valuation across countries and within country between income levels. These observations should be further explored in a systematic way, also in non-European countries. We recommend future researches studying the effect of other characteristics of respondents on health assessment.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||
| Journal or Publication Title: | European Journal of Public Health | ||||||
| Publisher: | Oxford University Press | ||||||
| ISSN: | 1101-1262 | ||||||
| Official Date: | February 2018 | ||||||
| Dates: |
|
||||||
| Volume: | 28 | ||||||
| Number: | 1 | ||||||
| Page Range: | pp. 124-133 | ||||||
| DOI: | 10.1093/eurpub/ckx090 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
