Avoiding and identifying errors in health technology assessment models: qualitative study and methodological review

Abstract

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The Head Injury Transportation Straight to Neurosurgery (HITS-NS) randomised trial: a feasibility study

“…To maximise internal validity we followed expert recommendations, consensus modelling guidelines and NICE technical guidance. [57][58][59][60] Our base-case analysis followed NICE reference case methodology, taking the perspective of the UK NHS DH (the primary decision-maker) and employing a lifetime horizon.…”

Economic modelling of diagnostic and treatment pathways in National Institute for Health and Care Excellence clinical guidelines: the Modelling Algorithm Pathways in Guidelines (MAPGuide) project

“…[22][23][24] The models were verified internally (to ensure correct programming) and validated (to ensure consistency with expected results -for example, that survival times and levels of service use are realistic). In addition, each of the models was reviewed by an experienced modeller with expertise in DES, who worked with the teams to ensure that any identified errors or inconsistencies were corrected.…”

“…23 The model was verified internally (to ensure correct programming) and validated externally (to ensure consistency with expected results, e.g. that survival times and levels of service use were realistic).…”

How Qualitative Methods Can be Used to Inform Model Development

“…3.0 Qualitative methods to understand and inform the process of future model development A number of studies have used qualitative methods to understand modelling practices and produce findings to inform future model development [18][19][20][21][22][23][24]. These studies all aimed to explore 'real' modelling processes, seeking to understand model development from the perspective of those involved and generate findings aimed at improving modelling methods.…”

“…Similarly using informant perspectives to understand issues with model development, were two related papers that undertook focus groups [19,20], and one study using in-depth interviews with modellers [21]. Both methodological approaches generated rich data through asking informants to describe their modelling practices, and asking questions about where current approaches required improvement.…”