Evidence-Based Medicine in Otolaryngology, Part XI: Modeling and Analysis to Support Decisions

Lisa Caulley, Myriam G. Hunink, Gregory W. Randolph, Jennifer J. Shin*

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

4 Citations (Scopus)
39 Downloads (Pure)


Objective: To provide a resource to educate clinical decision makers about the analyses and models that can be employed to support data-driven choices. Data Sources: Published studies and literature regarding decision analysis, decision trees, and models used to support clinical decisions. Review Methods: Decision models provide insights into the evidence and its implications for those who make choices about clinical care and resource allocation. Decision models are designed to further our understanding and allow exploration of the common problems that we face, with parameters derived from the best available evidence. Analysis of these models demonstrates critical insights and uncertainties surrounding key problems via a readily interpretable yet quantitative format. This 11th installment of the Evidence-Based Medicine in Otolaryngology series thus provides a step-by-step introduction to decision models, their typical framework, and favored approaches to inform data-driven practice for patient-level decisions, as well as comparative assessments of proposed health interventions for larger populations. Conclusions: Information to support decisions may arise from tools such as decision trees, Markov models, microsimulation models, and dynamic transmission models. These data can help guide choices about competing or alternative approaches to health care. Implications for Practice: Methods have been developed to support decisions based on data. Understanding the related techniques may help promote an evidence-based approach to clinical management and policy.

Original languageEnglish
Pages (from-to)462-472
Number of pages11
JournalOtolaryngology - Head and Neck Surgery (United States)
Issue number3
Early online date25 Aug 2020
Publication statusPublished - Mar 2021

Bibliographical note

Funding Information:
Competing interests : Lisa Caulley is supported by a Canadian Institutes of Health Research Frederick Banting and Charles Best Doctoral Award and the PSI Foundation Research Trainee Fellowship. Myriam G. Hunink receives royalties from Cambridge University Press for a textbook on decision making and reimbursement for travel and lodging from the European Society of Radiology and the European Institute for Biomedical Imaging Research. Jennifer J. Shin and Gregory W. Randolph receive textbook royalties from Springer for Evidence-Based Otolaryngology. Jennifer J. Shin receives book royalties from Plural Publishing for Otolaryngology Prep and Practice. Jennifer J. Shin became the deputy editor of Otolaryngology–Head and Neck Surgery after the first 8 installments of this series. Jennifer J. Shin is a recipient of the American Academy of the Otolaryngology–Head and Neck Surgery Foundation Maureen Hannley Grant, the Brigham Care Redesign Program Award, and the Schlager Family Innovations Fund Award.

Publisher Copyright:
© American Academy of Otolaryngology–Head and Neck Surgery Foundation 2020.


Dive into the research topics of 'Evidence-Based Medicine in Otolaryngology, Part XI: Modeling and Analysis to Support Decisions'. Together they form a unique fingerprint.

Cite this