Are some QALYs more equal than others?
- Publisher:
- SPRINGER
- Publication Type:
- Journal Article
- Citation:
- Eur J Health Econ, 2016, 17, (2), pp. 117-127
- Issue Date:
- 2016-03
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
Wetering2016_Article_AreSomeQALYsMoreEqualThanOther.pdf | Published version | 459.23 kB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | van de Wetering, EJ | |
dc.contributor.author | van Exel, NJA | |
dc.contributor.author | Rose, JM | |
dc.contributor.author | Hoefman, RJ | |
dc.contributor.author | Brouwer, WBF | |
dc.date.accessioned | 2022-05-08T00:35:15Z | |
dc.date.available | 2014-11-11 | |
dc.date.available | 2022-05-08T00:35:15Z | |
dc.date.issued | 2016-03 | |
dc.identifier.citation | Eur J Health Econ, 2016, 17, (2), pp. 117-127 | |
dc.identifier.issn | 1618-7598 | |
dc.identifier.issn | 1618-7601 | |
dc.identifier.uri | http://hdl.handle.net/10453/157126 | |
dc.description.abstract | Including societal preferences in allocation decisions is an important challenge for the health care sector. Here, we present results of a phased discrete choice experiment investigating the impact of various attributes on respondents' preferences for distribution of health and health care. In addition to the renowned equity principles severity of illness (operationalized as initial health) and fair innings (operationalized as age), some characteristics of beneficiaries (culpability and having dependents) and the disease (rarity) were included in the choice experiment. We used a nested logit model to analyse the data. We found that all selected attributes significantly influenced respondents' choices. The phased inclusion showed that additional attributes affected respondents' preferences for previously-included attributes and reduced unobserved variance. Although not all these attributes may be considered relevant for decision making from a normative perspective, including them in choice experiments contributes to our understanding of societal preferences for each single attribute. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | SPRINGER | |
dc.relation.ispartof | Eur J Health Econ | |
dc.relation.isbasedon | 10.1007/s10198-014-0657-6 | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | 1117 Public Health and Health Services, 1402 Applied Economics | |
dc.subject.classification | Health Policy & Services | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Choice Behavior | |
dc.subject.mesh | Female | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Male | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Models, Theoretical | |
dc.subject.mesh | Patient Preference | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Quality-Adjusted Life Years | |
dc.subject.mesh | Resource Allocation | |
dc.subject.mesh | Surveys and Questionnaires | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Choice Behavior | |
dc.subject.mesh | Quality-Adjusted Life Years | |
dc.subject.mesh | Models, Theoretical | |
dc.subject.mesh | Resource Allocation | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Female | |
dc.subject.mesh | Male | |
dc.subject.mesh | Patient Preference | |
dc.subject.mesh | Surveys and Questionnaires | |
dc.title | Are some QALYs more equal than others? | |
dc.type | Journal Article | |
utslib.citation.volume | 17 | |
utslib.location.activity | Germany | |
utslib.for | 1117 Public Health and Health Services | |
utslib.for | 1402 Applied Economics | |
utslib.for | 1117 Public Health and Health Services | |
utslib.for | 1402 Applied Economics | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Business | |
pubs.organisational-group | /University of Technology Sydney/Strength - BIDA - Business Intelligence and Data Analytics | |
utslib.copyright.status | closed_access | * |
dc.date.updated | 2022-05-08T00:35:13Z | |
pubs.issue | 2 | |
pubs.publication-status | Published | |
pubs.volume | 17 | |
utslib.citation.issue | 2 |
Abstract:
Including societal preferences in allocation decisions is an important challenge for the health care sector. Here, we present results of a phased discrete choice experiment investigating the impact of various attributes on respondents' preferences for distribution of health and health care. In addition to the renowned equity principles severity of illness (operationalized as initial health) and fair innings (operationalized as age), some characteristics of beneficiaries (culpability and having dependents) and the disease (rarity) were included in the choice experiment. We used a nested logit model to analyse the data. We found that all selected attributes significantly influenced respondents' choices. The phased inclusion showed that additional attributes affected respondents' preferences for previously-included attributes and reduced unobserved variance. Although not all these attributes may be considered relevant for decision making from a normative perspective, including them in choice experiments contributes to our understanding of societal preferences for each single attribute.
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