LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Grieve, Richard David
Languages: English
Types: Doctoral thesis
Subjects:

Classified by OpenAIRE into

mesheuropmc: health care economics and organizations
This thesis is concerned with the estimation \ud of costs \ud in \ud economic evaluation. \ud The \ud thesis reviews the theoretical and applied \ud literature \ud on costing \ud and \ud highlights that \ud studies generally ignore cost variation \ud across \ud health \ud care settings. \ud The thesis \ud aims \ud to \ud assess why costs vary across health care \ud settings, \ud and the implications for \ud economic \ud evaluations. \ud The study uses microeconomic theory to \ud pose \ud hypotheses for \ud cost \ud variation across \ud health care settings and uses a consistent methodology to \ud collect costs across \ud a range \ud of health care settings. The analysis \ud uses \ud multilevel \ud models \ud (MLMs) to test \ud hypotheses concerning cost variation. \ud Statistical theory \ud suggests that \ud MLMs \ud accommodate the hierarchical structure of \ud the \ud data \ud and \ud may \ud therefore \ud be \ud more \ud appropriate than ordinary least squares \ud (OLS) \ud models \ud for identifying \ud reasons \ud for \ud cost \ud variation across settings. The use of MLMs and \ud OLS \ud models \ud for \ud analysing reasons \ud for \ud cost variation are compared. The OLS models \ud find that \ud both \ud patient \ud and \ud higher-level \ud covariates are associated with length of \ud hospital \ud stay \ud (LOS) \ud and total \ud cost, \ud but these \ud models overestimate the precision of the \ud higher-level \ud variables. \ud By \ud contrast, \ud the \ud MLMs show that none of the higher-level variables are \ud associated \ud with \ud LOS, \ud and \ud the \ud national level of spending on health care \ud is the \ud only \ud higher-level \ud variable associated \ud with total cost. \ud The empirical investigation also illustrates that \ud using \ud OLS \ud regression \ud analysis \ud to \ud report cost-effectiveness can lead to inaccurate \ud estimates. \ud By \ud contrast, \ud the \ud MLMs \ud recognise the structure of the data and accurately \ud quantify \ud mean \ud incremental \ud cost- \ud effectiveness and the associated levels of \ud uncertainty. \ud The thesis concludes that ignoring cost \ud variation \ud across \ud health \ud care \ud settings \ud can \ud lead \ud to inaccurate estimates of cost and \ud cost-effectiveness. \ud Basing \ud decision-making \ud on \ud inaccurate information can move the allocation \ud of \ud health \ud care \ud resources \ud away \ud from the \ud target of allocative efficiency. This thesis presents \ud a methodology \ud for improving the \ud conduct of cost analyses that future economic evaluations can \ud adopt.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Health Econ.14: 185-196(2005)
  • No related research data.
  • No similar publications.

Share - Bookmark

Download from

Cite this article