Objective: We aimed to assess the psychometric properties of the Psoriasis Family Index (PFI), a disease-specific instrument, to measure the secondary impact of psoriasis on the quality of life (QoL) of family members and partners of psoriasis patients.
Methods: PFI data were collected from 150 accompanying family members of psoriasis patients attending the dermatology department of a secondary referral hospital. Rasch analysis was used to examine various psychometric properties of the PFI, including dimensionality, response category functioning, fit statistics, scale reliability and validity, item targeting and differential item functioning (DIF).
Results: The 15-item PFI with 4 response options showed good overall fit to the Rasch model. The response category almost entirely followed the Linacre criteria, demonstrating its optimal functionality. All items except one had good fit to the Rasch model. The mean fit residual for the items was -0.085 ± 1.184 (range -1.54 to 2.7). Strict unidimensionality was achieved following removal of the misfitting item 5. The revised 14-item PFI maintained strong reliability (person separation index = 0.87). The scale showed minor mistargeting (mean difference between person and item location = 0.95 logits). None of the items displayed DIF across gender or relationship type.
Conclusions: The PFI is the first disease-specific measure to quantify the QoL of family members of psoriasis patients. Following the application of Rasch analysis we now recommend the use of a 14-item version of the PFI: question No. 5 from the 15-item version has been deleted. This study demonstrates the promising psychometric performance of the PFI and confirms its potential as a useful outcome measure in future clinical research.
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http://dx.doi.org/10.1159/000379748 | DOI Listing |
BMC Palliat Care
January 2025
RISE Research Institutes of Sweden, Division Safety and Transport, Measurement Science and Technology, Göteborg, Sweden.
Background: Family sense of coherence (FSOC) seems to reduce distress in the family and promote the well-being of the family. Therefore, getting accurate measurements for families with long-term illnesses is of particular interest. This study explores dyadic data analysis from the dyadic- and single-informant perspectives, and the measurement properties of the FSOC-S12 according to the Rasch model.
View Article and Find Full Text PDFBehav Res Methods
January 2025
Paris Lodron University Salzburg, Kapitelgasse 4-6, 5020, Salzburg, Austria.
This article addresses the problem of measurement invariance in psychometrics. In particular, its focus is on the invariance assumption of item parameters in a class of models known as Rasch models. It suggests a mixed-effects or random intercept model for binary data together with a conditional likelihood approach of both estimating and testing the effects of multiple covariates simultaneously.
View Article and Find Full Text PDFPLoS One
January 2025
School of Health Sciences, Swinburne University of Technology, Hawthorn, VIC, Australia.
Background: The global population of older adults has steadily increased in recent decades. Little is known about the gender difference in the quality of life (QoL) of older adults in the general population. This study aimed to identify factors associated with QoL among older adults by gender.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2025
Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Background: High-risk pregnancy leads to uncertainty and stress in pregnant women due to the threatened of mother and fetus health. The Uncertainty Stress Scale High-Risk Pregnancy Version, a 54-item Chinese version (USS-HRPV-C), has been widely used to assess the uncertainty and stress that women experience during pregnancy. However, the length of the scale may result in a burden for respondents.
View Article and Find Full Text PDFGeriatr Gerontol Int
January 2025
Department of Acute Medicine and Trauma Care, Aalborg University Hospital, Aalborg, Denmark.
Aim: The four-item questionnaire test (4QT) is a simple screening measure of dysphagia for older people. A positive answer to any item indicates the need for further assessment. The 4QT is fast, simple to apply and requires no training beforehand.
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