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Comparative Study
. 1999 Jul;37(7):671-7.
doi: 10.1097/00005650-199907000-00007.

Determining correspondence between scores on the EQ-5D "thermometer" and a 5-point categorical rating scale

Affiliations
Comparative Study

Determining correspondence between scores on the EQ-5D "thermometer" and a 5-point categorical rating scale

X Badia Llach et al. Med Care. 1999 Jul.

Abstract

Background: "Feeling thermometers" and category rating scales (CRS) can be used to measure self-rated health, though the interpretation of scores on the feeling thermometer may be problematic.

Objectives: To analyze correspondence between scores of self-rated health on the EuroQol-5D "feeling thermometer" and a five-Point CRS. To determine the influence of sociodemographic variables on correspondence.

Research design: Correspondence between EQ-5D "thermometer" scores and CRS categories was determined in a within-subjects design using data from a large-scale health survey.

Subjects: Twelve thousand, two hundred and forty-five members of the Spanish general population interviewed in the Catalan Health Interview Survey.

Measures: Instruments used were the EQ-5D "feeling thermometer" and a five-Point CRS with categories from "excellent" to "poor."

Results: Median scores on the thermometer corresponding to CRS categories were as follows: poor = 40; fair = 53; good = 76; and very good = 80; excellent = 90; differences were statistically significant (P < 0.05). Ranges in thermometer scores covered by CRS categories varied from 23.5 points for the category "poor" to 13 points for the category "very good" (range, 25-75 percentiles), with considerable overlap between categories at the upper end of the scale. Median thermometer scores corresponding to the categories "good,""fair," and "poor" were lower in older respondents and in those with a lower educational level.

Conclusions: Determining correspondence between CRS and thermometer scores is useful in interpreting and categorizing thermometer scores. The age and level of education in particular affect the interpretation of CRS categories, and should be taken into account when analyzing results obtained with such instruments.

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