A Flexible Open-Source Decision Model for Value Assessment of Biologic Treatment for Rheumatoid Arthritis.
Objective: The nature of model-based cost-effectiveness analysis can lead to disputes in the scientific community. We propose an iterative and collaborative approach to model development by presenting a flexible open-source simulation model for rheumatoid arthritis (RA), accessible to both technical...
| Publicado en: | PharmacoEconomics Vol. 37; no. 6; pp. 829 - 844 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2019
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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=136585419&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136585419 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11707690 C5G jtl: PharmacoEconomics issn: 11707690 maglogo: N pubinfo: dt: Jun2019 vid: 37 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 136585419 136585419 NLM30737711 136585419 10.1007/s40273-018-00765-2 NLM30737711 136585419 ppf: 829 ppct: 15 formats: tig: atl: A Flexible Open-Source Decision Model for Value Assessment of Biologic Treatment for Rheumatoid Arthritis. aug: au: Incerti, Devin Curtis, Jeffrey R. Shafrin, Jason Lakdawalla, Darius N. Jansen, Jeroen P. affil: Innovation and Value Initiative, 11100 Santa Monica Boulevard, Suite 500, 90025, Los Angeles, CA, USA sug: subj: Models, Statistical Biological Products Therapeutic Use Decision Making Arthritis, Rheumatoid Drug Therapy Uncertainty Human Cost Benefit Analysis Arthritis, Rheumatoid Mortality Probability Health Care Costs Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: Objective: The nature of model-based cost-effectiveness analysis can lead to disputes in the scientific community. We propose an iterative and collaborative approach to model development by presenting a flexible open-source simulation model for rheumatoid arthritis (RA), accessible to both technical and non-technical end-users.Methods: The RA model is a discrete-time individual patient simulation with 6-month cycles. Model input parameters were estimated based on currently available evidence and treatment effects were obtained with Bayesian network meta-analysis techniques. The model contains 384 possible model structures informed by previously published models. The model consists of the following components: (i) modifiable R and C++ source code available in a GitHub repository; (ii) an R package to run the model for custom analyses; (iii) detailed model documentation; (iv) a web-based user interface for full control over the model without the need to be well-versed in the programming languages; and (v) a general audience web-application allowing those who are not experts in modeling or health economics to interact with the model and contribute to value assessment discussions.Results: A primary function of the initial version of RA model is to help understand and quantify the impact of parameter uncertainty (with probabilistic sensitivity analysis), structural uncertainty (with multiple competing model structures), the decision framework (cost-effectiveness analysis or multi-criteria decision analysis), and perspective (healthcare or limited societal) on estimates of value.Conclusion: In order for a decision model to remain relevant over time it needs to evolve along with its supporting body of clinical evidence and scientific insight. Multiple clinical and methodological experts can modify or contribute to the RA model at any time due to its open-source nature. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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