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Agreement about identifying patients who change over time: cautionary results in cataract and heart failure patients
David Feeny1, Karen Spritzer2, Ron D Hays2
1The Center for Health Research, Kaiser Permanente Northwest and Health Utilities Incorporated, Portland, OR (DF)
Background:
Preference-based measures of health-related quality of life all use the same dead = 0.00 to perfect health = 1.00 scale, but there are substantial differences among measures.
Objective:
The objective was to examine agreement in classifying patients as better, stable, or worse.
Methods:
The EQ-5D, Health Utilities Index Mark 2 and Mark 3, Quality of Well-Being-Self-Administered scale, Short-Form 36 (Short-Form 6D), and disease-targeted measures were administered prospectively in 2 clinical cohorts. The study was conducted at academic medical centers: University of California, Los Angeles; University of California, San Diego; University of Wisconsin-Madison; and University of Southern California. Patients undergoing cataract extraction surgery with lens replacement completed the 25-item National Eye Institute Visual Function Questionnaire (NEI-VFQ-25). Patients newly referred to congestive heart failure specialty clinics completed the Minnesota Living with Heart Failure Questionnaire (MLHF). In both cohorts, subjects completed surveys at baseline and at 1 and 6 months. The NEI-VFQ-25 and MLHF were used as gold standards to assign patients to categories of change. Agreement was assessed using κ.
Results:
There were 376 cataract patients recruited. Complete data for baseline and the 1-month follow-up were available on all measures for 210 cases. Using criteria specified by Altman, agreement was poor for 6 of 9 pairs of comparisons and fair for 3 pairs. There were 160 heart failure patients recruited. Complete data for baseline and the 6-month follow-up were available for 86 cases. Agreement was negligible for 5 pairs and fair for 1. The study was conducted on selected patients at a few academic medical centers.
Conclusions:
The results underscore the lack of interchangeability among different preference-based measures.
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