Verification of Decision-Analytic Models for Health Economic Evaluations: An Overview.
Decision-analytic models for cost-effectiveness analysis are developed in a variety of software packages where the accuracy of the computer code is seldom verified. Although modeling guidelines recommend using state-of-the-art quality assurance and control methods for software engineering to verify...
| Publicado en: | PharmacoEconomics Vol. 35; no. 7; pp. 673 - 684 |
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| Autores principales: | , , , |
| Formato: | review Journal Article |
| Publicado: |
Springer Nature
Jul2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123610075&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123610075 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11707690 C5G jtl: PharmacoEconomics issn: 11707690 maglogo: N pubinfo: dt: Jul2017 vid: 35 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 123610075 123610075 144195348 NLM28456972 123610075 10.1007/s40273-017-0508-2 NLM28456972 123610075 ppf: 673 ppct: 11 formats: tig: atl: Verification of Decision-Analytic Models for Health Economic Evaluations: An Overview. aug: au: Dasbach, Erik Elbasha, Elamin Dasbach, Erik J Elbasha, Elamin H affil: Merck & Co. Inc., Kenilworth, NJ, USA sug: subj: Decision Support Techniques Models, Statistical Economics, Pharmaceutical Software Cost Benefit Analysis Quality Assessment Ferrans and Powers Quality of Life Index Questionnaires ab: Decision-analytic models for cost-effectiveness analysis are developed in a variety of software packages where the accuracy of the computer code is seldom verified. Although modeling guidelines recommend using state-of-the-art quality assurance and control methods for software engineering to verify models, the fields of pharmacoeconomics and health technology assessment (HTA) have yet to establish and adopt guidance on how to verify health and economic models. The objective of this paper is to introduce to our field the variety of methods the software engineering field uses to verify that software performs as expected. We identify how many of these methods can be incorporated in the development process of decision-analytic models in order to reduce errors and increase transparency. Given the breadth of methods used in software engineering, we recommend a more in-depth initiative to be undertaken (e.g., by an ISPOR-SMDM Task Force) to define the best practices for model verification in our field and to accelerate adoption. Establishing a general guidance for verifying models will benefit the pharmacoeconomics and HTA communities by increasing accuracy of computer programming, transparency, accessibility, sharing, understandability, and trust of models. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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