A discrete-choice experiment study of physicians’ prioritization of attributes of medical treatments for endometriosis-associated pain

Christine Poulos, Yanqing Xu, Willings Botha, Colton Leach, Kristin Kahle Wrobleski, Keith Gordon, Stacey A. Missmer, Stephanie J. Estes

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Physicians’ preferences for attributes of medical treatments for endometriosis-associated pain have not previously been quantified. Methods: US obstetrician-gynecologists completed an online discrete-choice experiment survey. In a series of questions, physicians chose a medical treatment for a hypothetical patient with endometriosis experiencing severe, persistent dysmenorrhea, nonmenstrual pelvic pain, and/or dyspareunia. Each question presented two hypothetical medical treatments for endometriosis-associated pain, defined by seven attributes with varying levels. Preferences weights and conditional relative importance (CRI) were calculated using a random-parameters logit model. Results: Respondents (N = 250) had an average age of 53 years; 36% were female. The most important attribute, conditional on the attributes and levels evaluated, was risk of moderate-to-severe hot flashes (CRI, 3.34). In descending order of importance, the CRIs of the other attributes were 2.13 for improvement in nonmenstrual pelvic pain, 2.04 for improvement in dyspareunia, 1.88 for improvement in dysmenorrhea, 1.16 for risk of pregnancy-related complications if pregnancy occurs during treatment, 0.62 for increased risk of bone fracture later in life, and 0.48 for mode of administration. Conclusions: In addition to valuing pain reduction, respondents prioritized avoiding moderate-to-severe hot flashes, followed by less common and less immediate risks of pregnancy-related complications and bone fracture.

Original languageEnglish (US)
Pages (from-to)111-121
Number of pages11
JournalExpert Review of Pharmacoeconomics and Outcomes Research
Volume23
Issue number1
DOIs
StatePublished - 2023

All Science Journal Classification (ASJC) codes

  • Health Policy
  • Pharmacology (medical)

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