Patient Preferences for Features of Health Care Delivery Systems: A Discrete Choice Experiment.


Journal Article

OBJECTIVE: To estimate the relative importance of organizational-, procedural-, and interpersonal-level features of health care delivery systems from the patient perspective. DATA SOURCES/STUDY SETTING: We designed four discrete choice experiments (DCEs) to measure patient preferences for 21 health system attributes. Participants were recruited through the online patient portal of a large health system. We analyzed the DCE data using random effects logit models. DATA COLLECTION/EXTRACTION METHODS: DCEs were performed in which respondents were provided with descriptions of alternative scenarios and asked to indicate which scenario they prefer. Respondents were randomly assigned to one of the three possible health scenarios (current health, new lung cancer diagnosis, or diabetes) and asked to complete 15 choice tasks. Each choice task included an annual out-of-pocket cost attribute. PRINCIPAL FINDINGS: A total of 3,900 respondents completed the survey. The out-of-pocket cost attribute was considered the most important across the four different DCEs. Following the cost attribute, trust and respect, multidisciplinary care, and shared decision making were judged as most important. The relative importance of out-of-pocket cost was consistently lower in the hypothetical context of a new lung cancer diagnosis compared with diabetes or the patient's current health. CONCLUSIONS: This study demonstrates the complexity of patient decision making processes regarding features of health care delivery systems. Our findings suggest the importance of these features may change as a function of an individual's medical conditions.

Full Text

Duke Authors

Cited Authors

  • Mühlbacher, AC; Bethge, S; Reed, SD; Schulman, KA

Published Date

  • April 2016

Published In

Volume / Issue

  • 51 / 2

Start / End Page

  • 704 - 727

PubMed ID

  • 26255998

Pubmed Central ID

  • 26255998

Electronic International Standard Serial Number (EISSN)

  • 1475-6773

Digital Object Identifier (DOI)

  • 10.1111/1475-6773.12345


  • eng

Conference Location

  • United States