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It’s All in the Name, or Is It? The Impact of Labeling on Health State Values

Background. Many descriptions of health used in vignettes and condition-specific measures name the medical condition. This article assesses the impact of referring to the medical condition in the descriptions of health states valued by members of the general population. Methods. A valuation study wa...

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Published in:Medical decision making 2012-01, Vol.32 (1), p.31-40
Main Authors: Rowen, Donna, Brazier, John, Tsuchiya, Aki, Young, Tracey, Ibbotson, Rachel
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Language:English
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cited_by cdi_FETCH-LOGICAL-c336t-e4618bae691d7de9edbfd3b6c219250094eb76bb9136121ed389da8f10c3bf3
cites cdi_FETCH-LOGICAL-c336t-e4618bae691d7de9edbfd3b6c219250094eb76bb9136121ed389da8f10c3bf3
container_end_page 40
container_issue 1
container_start_page 31
container_title Medical decision making
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creator Rowen, Donna
Brazier, John
Tsuchiya, Aki
Young, Tracey
Ibbotson, Rachel
description Background. Many descriptions of health used in vignettes and condition-specific measures name the medical condition. This article assesses the impact of referring to the medical condition in the descriptions of health states valued by members of the general population. Methods. A valuation study was conducted using face-to-face interviews involving the time trade-off valuation technique. All respondents valued essentially the same health states, but for each respondent, the descriptions featured an irritable bowel syndrome (IBS) label, a cancer label, or no label. Random effects generalized least squares regressions were used to estimate the impact of each label and experience of the condition on health state values. Data. A sample of 241 members of the UK general population each valued 8 states, generating 1910 observations (response rate = 39%, completion rate = 99% for all states). Results. The authors find no significant difference between health state values when the description contains no label or an IBS label. They find that the inclusion of a cancer label in health state descriptions affects health state values and that the impact is dependent on the severity of the state, with a significant reduction in values for more severe health states (up to −0.25 for the worst possible state) but no significant difference for mild states. Conclusions. A condition label can affect health state values, but this is dependent on the specific condition and severity. The authors recommend avoiding condition labels in health state descriptions (where possible) to ensure that values are not affected by prior knowledge or preconception of the condition that may distort the health state being valued.
doi_str_mv 10.1177/0272989X11408435
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Random effects generalized least squares regressions were used to estimate the impact of each label and experience of the condition on health state values. Data. A sample of 241 members of the UK general population each valued 8 states, generating 1910 observations (response rate = 39%, completion rate = 99% for all states). Results. The authors find no significant difference between health state values when the description contains no label or an IBS label. They find that the inclusion of a cancer label in health state descriptions affects health state values and that the impact is dependent on the severity of the state, with a significant reduction in values for more severe health states (up to −0.25 for the worst possible state) but no significant difference for mild states. Conclusions. A condition label can affect health state values, but this is dependent on the specific condition and severity. 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A sample of 241 members of the UK general population each valued 8 states, generating 1910 observations (response rate = 39%, completion rate = 99% for all states). Results. The authors find no significant difference between health state values when the description contains no label or an IBS label. They find that the inclusion of a cancer label in health state descriptions affects health state values and that the impact is dependent on the severity of the state, with a significant reduction in values for more severe health states (up to −0.25 for the worst possible state) but no significant difference for mild states. Conclusions. A condition label can affect health state values, but this is dependent on the specific condition and severity. 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Random effects generalized least squares regressions were used to estimate the impact of each label and experience of the condition on health state values. Data. A sample of 241 members of the UK general population each valued 8 states, generating 1910 observations (response rate = 39%, completion rate = 99% for all states). Results. The authors find no significant difference between health state values when the description contains no label or an IBS label. They find that the inclusion of a cancer label in health state descriptions affects health state values and that the impact is dependent on the severity of the state, with a significant reduction in values for more severe health states (up to −0.25 for the worst possible state) but no significant difference for mild states. Conclusions. A condition label can affect health state values, but this is dependent on the specific condition and severity. 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source SAGE:Jisc Collections:SAGE Journals Read and Publish 2023-2024:2025 extension (reading list)
subjects Adolescent
Adult
Attitude to Health
Female
Health Status
Humans
Interviews as Topic
Male
Middle Aged
Patient Preference
Surveys and Questionnaires
United Kingdom
Young Adult
title It’s All in the Name, or Is It? The Impact of Labeling on Health State Values
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