Uncertainty and validation of health economic decision models

2009 ◽  
pp. n/a-n/a ◽  
Author(s):  
Lois G. Kim ◽  
Simon G. Thompson
Keyword(s):  
Health Economic ◽  
Decision Models ◽  
Economic Decision

Four Aspects Affecting Health Economic Decision Models and Their Validation

2021 ◽  
Author(s):  
Talitha Feenstra ◽  
Isaac Corro-Ramos ◽  
Dominique Hamerlijnck ◽  
George van Voorn ◽  
Salah Ghabri
Keyword(s):  
Health Economic ◽  
Decision Models ◽  
Economic Decision

External validation of exacerbation and mortality outcomes of health economic decision models for COPD

2016 ◽  
Author(s):  
Martine Hoogendoorn ◽  
Talitha Feenstra ◽  
Yumi Asukai ◽  
Andrew Briggs ◽  
Ryan Hansen ◽  
...  
Keyword(s):  
Health Economic ◽  
External Validation ◽  
Decision Models ◽  
Economic Decision

scholarly journals Development and Validation of the TRansparent Uncertainty ASsessmenT (TRUST) Tool for Assessing Uncertainties in Health Economic Decision Models

2019 ◽  
Vol 38 (2) ◽  
pp. 205-216 ◽  
Author(s):  
Sabine E. Grimm ◽  
Xavier Pouwels ◽  
Bram L. T. Ramaekers ◽  
Ben Wijnen ◽  
Saskia Knies ◽  
...  
Keyword(s):  
Health Economic ◽  
Uncertainty Assessment ◽  
Decision Models ◽  
Economic Decision ◽  
Development And Validation

USEOF EXPERT KNOWLEDGE ELICITATION TO ESTIMATE PARAMETERS IN HEALTH ECONOMIC DECISION MODELS

2014 ◽  
Vol 30 (4) ◽  
pp. 461-468 ◽  
Author(s):  
David Hadorn ◽  
Giorgi Kvizhinadze ◽  
Lucie Collinson ◽  
Tony Blakely
Keyword(s):  
Health Economic ◽  
De Novo ◽  
Expert Knowledge ◽  
National Health System ◽  
Knowledge Elicitation ◽  
Decision Models ◽  
Economic Evaluations ◽  
Economic Decision ◽  
Two Samples ◽  
Parameter Values

Objectives: The aim of this study was to determine the prevalence and methods of expert knowledge elicitation (EKE) for specifying input parameters in health economic decision models (HEDM).Methods: We created two samples using the National Health System Economic Evaluations Database: (1) 100 randomly selected HEDM studies to determine prevalence of EKE and (2) sixty studies using a formal EKE process to determine methods used.Results: Fifty-seven (57 percent) of the random sample included at least one EKE-derived parameter. Of these, six (10 percent) used a formal expert process. Thirty-four studies from our second sample of sixty studies (57 percent) described at least one aspect of the process (e.g., elicitation method) with reasonable clarity. In approximately two-thirds of studies the external experts estimated parameters de novo; the remainder confirmed or modified initial estimates provided by authors, or the method was unclear. The majority of elicitations obtained point estimates only, although a few studies asked experts to estimate ranges of parameter values.Conclusions: The use of EKE for parameter estimation is common in HEDMs, although there is room for improvement in the methods used.

scholarly journals Advishe: a New Tool to Report Validation of Health-Economic Decision Models

2014 ◽  
Vol 17 (7) ◽  
pp. A556-A557 ◽  
Author(s):  
P. Vemer ◽  
I. Corro Ramos ◽  
G. Van Voorn ◽  
M.J. Al ◽  
T.L. Feenstra
Keyword(s):  
Health Economic ◽  
Decision Models ◽  
Economic Decision
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