4.2 Article

Mapping Clinical Outcomes Expectations to Treatment Decisions: An Application to Vestibular Schwannoma Management

Journal

OTOLOGY & NEUROTOLOGY
Volume 31, Issue 2, Pages 284-293

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MAO.0b013e3181cc06cb

Keywords

Complex decision making; Conjoint analysis; Facial nerve and hearing preservation outcomes expectations; Medical decision engine; Tradeoff; Vestibular schwannoma

Funding

  1. University of California, San Francisco, CA

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Objective: Complex medical decision making obligates tradeoff assessments among treatment outcomes expectations, but an accessible tool to perform the necessary analysis is conspicuously absent. We aimed to demonstrate methodology and feasibility of adapting conjoint analysis for mapping clinical outcomes expectations to treatment decisions in vestibular schwannoma (VS) management. Study Design: Prospective. Settings: Tertiary medical center and US-based otologists/neurotologists. Subjects: Treatment preference profiles among VS stakeholders-61 younger and 74 older prospective patients, 61 observation patients, and 60 surgeons-were assessed for the synthetic VS case scenario of a 10-mm tumor in association with useful hearing and normal facial function. Main Outcome Measure: Treatment attribute utility. Methods: Conjoint analysis attribute levels were set in accordance to the results of a meta-analysis. Forty-five case series were disaggregated to formulate microsurgery facial nerve and hearing preservation outcomes expectations models. Attribute utilities were computed and mapped to the realistic treatment choices of translabyrinthine craniotomy, middle fossa craniotomy, and gamma knife radiosurgery. Results: Among the treatment attributes of likelihoods of causing deafness, temporary facial weakness for 2 months, and incurable cancer within 20 years, and recovery time, permanent deafness was less important to tumor surgeons, and temporary facial weakness was more important to tumor surgeons and observation patients (Wilcoxon rank-sum, p < 0.001). Inverse mapping of preference profiles to realistic treatment choices showed all study cohorts were inclined to choose gamma knife radiosurgery. Conclusion: Mapping clinical outcomes expectations to treatment decisions for a synthetic clinical scenario revealed inhomogeneous drivers of choice selection among study cohorts. Medical decision engines that analyze personal preferences of outcomes expectations for VS and many other diseases may be developed to promote shared decision making among health care stakeholders and transparency in the informed consent process.

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