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Decision Making01:20

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Transparency in Decision Modelling: What, Why, Who and How?

Christopher James Sampson1, Renée Arnold2, Stirling Bryan3

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Transparency in decision modelling requires a clearer definition. This article explores various forms of transparency, stakeholder roles, and implementation strategies for better understanding and adoption in health technology assessment.

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Area of Science:

  • Health Economics
  • Decision Science
  • Health Technology Assessment

Background:

  • Transparency in decision modelling is increasingly discussed, moving beyond reporting standards to open-source implementations.
  • A lack of clear definition hinders the debate on the advantages and disadvantages of greater transparency.

Purpose of the Study:

  • To provide a nuanced understanding of transparency in decision modelling.
  • To explore how transparency can be addressed and implemented.

Main Methods:

  • Review and summarization of existing discourse on transparency.
  • Development of a taxonomy of transparency manifestations (e.g., reporting standards, open-source modelling).
  • Mapping of stakeholder roles, incentives, advantages, disadvantages, barriers, and facilitators.

Main Results:

  • A taxonomy of transparency manifestations is outlined, including reporting standards, reference models, collaboration, model registration, peer review, and open-source modelling.
  • The roles and incentives of various stakeholders (industry, research, publishers, decision-makers) are mapped.
  • Anticipated advantages, disadvantages, barriers, and facilitators for each manifestation are discussed concerning stakeholders and practical issues.

Conclusions:

  • A clear understanding of 'what', 'why', 'who', and 'how' for each transparency manifestation is crucial for community adoption.
  • Current initiatives demonstrate ongoing efforts to improve transparency in decision modelling.
  • Addressing issues like intellectual property, legality, standards, and stakeholder engagement is key to realizing transparency objectives.