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Events

ISPOR Atlanta 2010 Canadian study (17 May 2010, podium session I)

ISPHC Boston 2010
(PDF: 70 Kb) EVIDEM testing in Canada and South Africa (25 April 2010, podium)

CADTH Halifax 2010 Application in Canada (18 April 2010, poster session 5-7 pm)

EVIDEM Workshop 17 March 2010, University of Twente, The Netherlands

EVIDEM Presentation 29 January 2010, Canadian Institutes of Health Research, Ottawa

 



 


A demo is available online to experience the MCDA Value matrix. It is being used in a number of workshops and data is being collected to explore functionality and variation among participants.

Combined results from demonstrator workshops

Workshop participants were asked to weight components of the MCDA Value Matrix and to assess the intrinsic value of intervention Y indicated for disease X using defined scales and synthesized data prepared using the EVIDEM™ methodology. Participants have included policy and formulary decisionmakers, physicians, pharmacists, nurses, health economists/epidemiologists, other researchers, other healthcare professionals, and others not specified.

Collected weights and scores are reported below.

Worksop figure - Weighting of components  Worksop figure - Scoring of intervention
[+ Click to enlarge]

 

Scores and normalized weights were combined using a MCDA linear model to estimate the value of the intervention; contribution of each component of the MCDA Value Matrix to the value estimate is reported below.

Worksop figure - Value of intervention
[+ Click to enlarge]

 

The value estimate is a comprehensive measure of relative value (i.e., comparative efficacy, safety, patient reported outcomes, impact on drug and other spending, cost-effectiveness) as well as absolute value (i.e., severity of disease, size of population affected, types of benefit at population and patient level, quality of evidence) while taking into consideration clinical guidelines and limitations of alternative interventions.

Worksop figure - Value estimate
[+ Click to enlarge]

Most importantly, through the framework structure, it provides a transparent link to how components of decision are considered and on which evidence those considerations are based.

 

   
 
     

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