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Assessing a measure for Quality of Life in patients with severe Alopecia Areata: a multicentric Italian study.

Authors :
Caldarola G
Raimondi G
Samela T
Pinto L
Pampaloni F
Starace MVR
Diluvio L
Dall'Oglio F
Vagnozzi E
de Felici Del Giudice MB
Balestri R
Ambrogio F
Girolomoni G
Riva SF
Moro F
Atzori L
Gallo G
Ribero S
Simonetti O
Barruscotti S
Boccaletti V
Marzano AV
Bianchi L
Micali G
Piraccini BM
Fargnoli MC
Abeni D
Peris K
Source :
Frontiers in public health [Front Public Health] 2024 Aug 16; Vol. 12, pp. 1415334. Date of Electronic Publication: 2024 Aug 16 (Print Publication: 2024).
Publication Year :
2024

Abstract

Objective: The prevalence of anxiety and depression in patients diagnosed with Alopecia Areata (AA) is very high and this significant burden of psychological symptoms threatens the Health-Related Quality of Life (HRQoL) of affected patients. Indeed, AA often does not produce significant physical symptoms, but it nonetheless disrupts many areas of mental health. Clinical assessment of disease severity may not reliably predict patient's HRQoL, nor may it predict the patient's perception of illness. For this reason, considerable effort has been made to apply and develop measures that consider patient's perception and assess the HRQoL of individuals affected by AA. The aim of this multicentric study was to provide the Italian version of the Skindex-16AA and to evaluate its psychometric properties in a clinical sample of consecutive patients with moderate-to-severe AA.<br />Methods: This is a longitudinal, multicenter, observational study. Patients returned for follow-up visits at 4-, 12-, and 24-weeks. The analyses of the current work aimed to confirm the factorial structure of the Skindex-16AA. In the case of non-fit, an alternative structure for the model was proposed, using an Exploratory Graph Analysis and the Bayesian approach.<br />Results: The sample was composed of 106 patients with AA. Alopecia Universalis was the most frequently diagnosed type of alopecia at all time points. The analyses on the Skindex-16AA revealed that a two-factor structure with eight items fit the data best (Bayesian Posterior Predictive Checking using 95% Confidence Interval for the Difference Between the Observed and the Replicated Chi-Square values = -6.246/56.395, Posterior Predictive P -value = 0.06), and reported satisfactory psychometric properties (i.e., internal consistency and convergent validity).<br />Conclusion: The Skindex-8AA demonstrated optimal psychometric properties (i.e., convergent and construct validity, and test-retest reliability) measured in a sample of patients with AA, that may suggest that it is an appropriate tool to measure the HRQoL in AA patients. However, further studies are needed in order to confirm and tested other psychometric features of this tool.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2024 Caldarola, Raimondi, Samela, Pinto, Pampaloni, Starace, Diluvio, Dall'Oglio, Vagnozzi, de Felici del Giudice, Balestri, Ambrogio, Girolomoni, Riva, Moro, Atzori, Gallo, Ribero, Simonetti, Barruscotti, Boccaletti, Marzano, Bianchi, Micali, Piraccini, Fargnoli, Abeni and Peris.)

Details

Language :
English
ISSN :
2296-2565
Volume :
12
Database :
MEDLINE
Journal :
Frontiers in public health
Publication Type :
Academic Journal
Accession number :
39220459
Full Text :
https://doi.org/10.3389/fpubh.2024.1415334