The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Objectives: The signs and symptoms of hypothyroidism are nonspecific. The present study was aimed to develop a health status scale for Korean hypothyroid patients and evaluate its validity and reliability. Methods/Statistical Analysis: It was designed as a methodological study with a sample of 171 hypothyroid patients at a university hospital in Seoul, Korea. Data analysis was conducted using item analysis, Cronbach’s α, correspondence analysis, test-retest reliability, and confirmatory factor analysis. Findings: To ensure construct validity, only those items with corrected item-total correlations higher than .30 in item analysis were selected. Cronbach’s α ranged from .74 to .85, and intra-class correlation coefficients, from .40 to .85. Correspondence analysis revealed no significant differences (t = .43, p = .67) between the average values of the first (2.46 ± 0.49, δ ± SD) and the second (2.42 ± 0.63) measurement. To ensure convergent validity, only those items with factor loadings .4 or higher were selected in confirmatory factor analysis; construct reliability was .93, and average variance extracted, .54. Finally, 30 items in 6 categories were selected. Application/ Improvements: This scale is very useful for individual assessment of thyroid failure and treatment monitoring. It was categorized according to body are. Thus, it can simultaneously assess health status of hypothyroid patients and identify specific challenges that need to be addressed by nursing staff.

Keywords

Health Status, Hypothyroidism, Reliability, Scale, Validity.
User