Developing Open-Source Models for the US Health System: Practical Experiences and Challenges to Date with the Open-Source Value Project.

The Innovation and Value Initiative started the Open-Source Value Project with the aim to improve the credibility and relevance of model-based value assessment in the context of the US healthcare environment. As a core activity of the Open-Source Value Project, the Innovation and Value Initiative de...

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Publicado en:PharmacoEconomics Vol. 37; no. 11; pp. 1313 - 1321
Autores principales: Jansen, Jeroen P., Incerti, Devin, Linthicum, Mark T.
Formato: research Journal Article
Publicado: Springer Nature Nov2019
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Developing Open-Source Models for the US Health System: Practical Experiences and Challenges to Date with the Open-Source Value Project.
      aug:
        au:
          Jansen, Jeroen P.
          Incerti, Devin
          Linthicum, Mark T.
        affil: Innovation and Value Initiative, Alexandria, VA, USA
      sug:
        subj:
          Health Care Delivery Administration
          Decision Making
          Models, Statistical
          Lung Neoplasms Economics
          United States
          Lung Neoplasms Therapy
          Carcinoma, Non-Small-Cell Lung Economics
          Human
          Arthritis, Rheumatoid Therapy
          Cost Benefit Analysis
          Carcinoma, Non-Small-Cell Lung Therapy
          Arthritis, Rheumatoid Economics
          Health Care Delivery
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
      ab: The Innovation and Value Initiative started the Open-Source Value Project with the aim to improve the credibility and relevance of model-based value assessment in the context of the US healthcare environment. As a core activity of the Open-Source Value Project, the Innovation and Value Initiative develops and provides access to flexible open-source economic models that are developed iteratively based on public feedback and input. In this article, we describe our experience to date with the development of two currently released, Open-Source Value Project models, one in rheumatoid arthritis and one in epidermal growth factor receptor-positive non-small-cell lung cancer. We developed both Open-Source Value Project models using the statistical programming language R instead of spreadsheet software (i.e., Excel), which allows the models to capture multiple model structures, model sequential treatment with individual patient simulations, and improve integration with formal evidence synthesis. By developing the models in R, we were also able to use version control systems to manage changes to the source code, which is needed for iterative and collaborative model development. Similarly, Open-Source Value Project models are freely available to the public to provide maximum transparency and facilitate collaboration. Development of the rheumatoid arthritis and non-small-cell lung cancer model platforms has presented multiple challenges. The development of multiple components of the model platform tailored to different audiences, including web interfaces, required more resources than a cost-effectiveness analysis for a publication would. Furthermore, we faced methodological hurdles, in particular related to the incorporation of multiple competing model structures and novel elements of value. The iterative development based on public feedback also posed some challenges during the review phase, where methodological experts did not always understand feedback from clinicians and vice versa. Response to the Open-Source Value Project by the modeling community and patient organizations has been positive, but feedback from US decision makers has been limited to date. As we progress with this project, we hope to learn more about the feasibility, benefits, and challenges of an open-source and collaborative approach to model development for value assessment.
      pubtype: Academic Journal
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        research
        Journal Article
      ougenre: Article
    language: English
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