Dawn Aerlyn G, McGwin Gerald, Lee Paul P
Department of Ophthalmology, Duke University School of Medicine, Durham, NC 27710, USA.
Arch Ophthalmol. 2005 Apr;123(4):534-41. doi: 10.1001/archopht.123.4.534.
To develop an instrument (the Eye Care Expectations Survey [ECES]) that can identify and quantify the expectations of patients visiting eye care providers.
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.
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.
Based on this cross-sectional study, the 27-item ECES appears to be a useful tool for better understanding patients' expectations regarding eye care.
开发一种工具(眼保健期望调查[ECES]),用于识别和量化就诊于眼保健服务提供者的患者的期望。
共有202名在杜克大学眼科中心附属的4家眼科诊所就诊的患者参与了该研究。所有参与者均完成了ECES的试点版本,该版本是通过对期望相关文献的综述和多条件焦点小组流程开发的。对患者的回答进行因子分析,以确定ECES的性能特征。
因子分析得出了描述4种不同类型期望的因子:患者在眼保健中的参与度、人际态度、关于诊断和预后的信息,以及沟通和临床能力。这4个因子解释了总方差的89%。因子分析确定了27个问题(原始37个问题中的)子集来代表这4个因子。内部一致性和重测信度的估计表明ECES是可靠的。此外,与临床变量的关联性检验支持了该调查的结构效度。ECES的心理测量特性受到潜在眼部疾病严重程度以及其他人口统计学和临床变量的影响,包括患者对自身视力的评分、最佳矫正视力、性别、教育程度、种族和家庭收入。
基于这项横断面研究,27项的ECES似乎是一种有助于更好地了解患者对眼保健期望的有用工具。