Criteria for item selection for a preference-based measure for use in economic evaluation. [PDF]
AbstractPreference-based measures allow patients to report their level of health, and the responses are then scored using preference weights from a representative general population sample for use in cost utility analysis. The development process of new preference-based measures should ensure that valid items are selected to reflect the constructs of ...
Peasgood T +4 more
europepmc +9 more sources
Development of DEMQOL-U and DEMQOL-PROXY-U: generation of preference-based indices from DEMQOL and DEMQOL-PROXY for use in economic evaluation [PDF]
Background: Dementia is one of the most common and serious disorders in later life and the economic and personal cost of caring for people with dementia is immense. There is a need to be able to evaluate interventions in dementia using cost-effectiveness
B Mulhern +13 more
doaj +2 more sources
Generic preference-based measures: how economists measure health benefit
Resources are always scarce, but the possible uses of these resources are limitless. This simple observation underlies much of what economists do. It leads to competing demands from different parties and requires individuals and organisations to make choices about their use of scarce resources.
Chris Sampson
doaj +2 more sources
A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures [PDF]
Clinical studies use a wide variety of health status measures to measure health related quality of life, many of which cannot be used in cost-effectiveness analysis using cost per quality adjusted life year (QALY). Mapping is one solution that is gaining popularity as it enables health state utility values to be predicted for use in cost per QALY ...
John E, Brazier +3 more
openaire +5 more sources
The impact of adding an extra dimension to a preference-based measure. [PDF]
The ability to compare incremental changes in Quality Adjusted Life Years (QALYs) generated by different condition-specific preference-based measures (CSPBMs), or indeed between generic measures, is often criticised even where the valuation methods and source of values are the same.
Brazier J +4 more
europepmc +4 more sources
Condition-Specific Preference-Based Measures: Benefit or Burden? [PDF]
Some argue that generic preference-based measures (PBMs) are not sensitive to certain disease-specific improvements. To overcome this problem, new condition-specific PBMs (CS-PBMs) are being developed, but it is not yet clear how such measures compare with existing generic PBMs.We generated CS-PBMs from three condition-specific questionnaires (Health ...
Versteegh, Matthijs +3 more
openaire +3 more sources
Information Retrieval Evaluation Measures Based on Preference Graphs [PDF]
Offline evaluation for web search has used mostly graded judgments to evaluate the performance of information retrieval systems. While graded judgments suffer several known problems, preference judgments simply judge one item over another, which avoids ...
Luo, Chengxi
core
The Estimation of a Preference-Based Measure of Health From the SF-12 [PDF]
The SF-12 is a multidimensional generic measure of health-related quality of life. It has become widely used in clinical trials and routine outcome assessment because of its brevity and psychometric performance, but it cannot be used in economic evaluation in its current form.We sought to derive a preference-based measure of health from the SF-12 for ...
John E, Brazier, Jennifer, Roberts
openaire +7 more sources
Background A new patient-reported health measurement model has been developed to quantify descriptions of health states. Known as the multi-attribute preference response (MAPR) model, it is based on item response theory.
Catharina G. M. Groothuis-Oudshoorn +2 more
doaj +1 more source
An Improved Collaborative Filtering Recommendation Algorithm Based on Retroactive Inhibition Theory
Collaborative filtering (CF) is the most classical and widely used recommendation algorithm, which is mainly used to predict user preferences by mining the user’s historical data.
Nihong Yang, Lei Chen, Yuyu Yuan
doaj +1 more source

