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Understanding Patients’ Preferences for Referrals to Specialists for an Asymptomatic Condition

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  • Robert Dunlea
  • Leslie Lenert

Abstract

Background: A specialty referral is a common but complex decision that often requires a primary care provider to balance his or her own interests with those of the patient. Objective: To examine the factors that influence a patient’s choice of a specialist for consultation for an asymptomatic condition and better understand the tradeoffs that patients are and are not willing to make in this decision. Design: Stratified cross-sectional convenience sample of subjects selected to parallel US population demographics. Participants: Members of an Internet survey panel who reported seeing a physician in the past year whose responses met objective quality metrics for attention. Main measures: Respondents completed an adaptive conjoint analysis survey comparing specialists regarding eight attributes. The reliability of assessments and the predictive validity of models were measured using holdout samples. The relative importance (RI) of different attributes was computed using paired t tests. The implications of utility values were studied using market simulation methods. Key results: Five hundred and thirty subjects completed the survey and had responses that met quality criteria. The reliability of responses was high (86% agreement), and models were predictive of patients’ preferences (82.6% agreement with holdout choices). The most important attribute for patients was out-of-pocket cost (RI of 19.5%, P

Suggested Citation

  • Robert Dunlea & Leslie Lenert, 2015. "Understanding Patients’ Preferences for Referrals to Specialists for an Asymptomatic Condition," Medical Decision Making, , vol. 35(6), pages 691-702, August.
    • Handle: RePEc:sae:medema:v:35:y:2015:i:6:p:691-702
    DOI: 10.1177/0272989X14566640
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    1. Hesham Ali Behary Aboelkhir & Adel Elomri & Tarek Y. ElMekkawy & Laoucine Kerbache & Mohamed S. Elakkad & Abdulla Al-Ansari & Omar M. Aboumarzouk & Abdelfatteh El Omri, 2022. "A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies," IJERPH, MDPI, vol. 19(24), pages 1-27, December.

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