IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Understanding the effect of disease adaptation information on general population values for hypothetical health states

  • McTaggart-Cowan, Helen
  • Tsuchiya, Aki
  • O'Cathain, Alicia
  • Brazier, John

It has been recommended that economic evaluation of healthcare technologies should use values for hypothetical health states elicited from the general population rather than patients. The drawback is the general population may not consider the possibility of adapting to the impaired state. This study explored the extent to which the general population changes their initial values, and the factors that influenced this change, after being informed with different disease adaptation techniques. Three rheumatoid arthritis states were used for illustration. General population respondents from the United Kingdom initially valued the states. An adaptation exercise followed, where they listened to recordings of patients discussing how they adapted; they then valued the same states again. The differences between the valuations were examined using t-tests. A multivariate regression model was developed to assess the factors that impacted individuals to change their initial values. After undergoing the adaptation exercise, the respondents increased their values for the rheumatoid arthritis states. Younger and healthier individuals were more likely to increase their initial values after being informed.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/pii/S0277953611002103
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Social Science & Medicine.

Volume (Year): 72 (2011)
Issue (Month): 11 (June)
Pages: 1904-1912

as
in new window

Handle: RePEc:eee:socmed:v:72:y:2011:i:11:p:1904-1912
Contact details of provider: Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description

Order Information: Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
Web: http://www.elsevier.com/orderme/journalorderform.cws_home/315/journalorderform1/orderooc/id=654&ref=654_01_ooc_1&version=01

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:72:y:2011:i:11:p:1904-1912. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.