Patient expectations regarding eye care: development and results of the Eye Care Expectations Survey (ECES).

Academic Article


  • OBJECTIVE: To develop an instrument (the Eye Care Expectations Survey [ECES]) that can identify and quantify the expectations of patients visiting eye care providers. METHODS: A total of 202 patients attending 4 ophthalmology practices affiliated with Duke University Eye Center enrolled in the study. All participants completed the pilot version of the ECES, which was developed through a review of the expectations literature and a multicondition focus group process. Factor analysis of patients' responses was used to identify the performance characteristics of the ECES. RESULTS: Factor analysis yielded factors that describe 4 distinct types of expectations: patient involvement in eye care, interpersonal manner, information about diagnosis and prognosis, and communication and clinical competence. These 4 factors explained 89% of the total variance. The factor analysis identified a subset of 27 questions (of the original 37) to represent the 4 factors. Estimates of internal consistency and test-retest reproducibility indicate that the ECES is reliable. In addition, tests of association with clinical variables support the construct validity of the survey. The psychometric properties of the ECES were influenced by the severity of the underlying eye condition as well as other demographic and clinical variables, including the patient's rating of his or her own vision, best corrected visual acuity, sex, education, race, and household income. CONCLUSIONS: Based on this cross-sectional study, the 27-item ECES appears to be a useful tool for better understanding patients' expectations regarding eye care.
  • Authors

    Published In


  • Attitude to Health, Cross-Sectional Studies, Delivery of Health Care, Eye Diseases, Female, Health Care Surveys, Health Personnel, Health Services Research, Humans, Male, Middle Aged, Ophthalmology, Patient Acceptance of Health Care, Patient Satisfaction, Surveys and Questionnaires
  • Digital Object Identifier (doi)

    Author List

  • Dawn AG; McGwin G; Lee PP
  • Start Page

  • 534
  • End Page

  • 541
  • Volume

  • 123
  • Issue

  • 4