Development and psychometric evaluation of public stigma of stroke scale (PSSS)

Abstract Stroke patients suffer from public stigma because strokes cause visible disability and heavy social burden. However, existing tools measuring stroke-related stigma do not consider public stigma. The aim of this study was to develop and evaluate a public stigma of stroke scale (PSSS). This c...

Full description

Bibliographic Details
Main Authors: Meijuan Wan, Yibing Tan, Yimin Huang, Qishan Zhang, Fengyin Qin, Xinglan Sun, Fen Wang, Jia Wang, Xiaopei Zhang
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-27504-8
Description
Summary:Abstract Stroke patients suffer from public stigma because strokes cause visible disability and heavy social burden. However, existing tools measuring stroke-related stigma do not consider public stigma. The aim of this study was to develop and evaluate a public stigma of stroke scale (PSSS). This cross-sectional study recruited 730 participants, aged above 18 years, with no diagnosis of stroke before. Scale items were generated after reviewing relevant literature and conducting interviews. An expert panel evaluated the validity and reliability of a preliminary scale. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), bifactor CFA (B-CFA), Exploratory structural equation modelling (ESEM), bifactor-ESEM (B-ESEM) were performed to extract factors and evaluate fit on the factor structures. The Omega coefficient was 0.93, and the test–retest reliability coefficient was 0.721. The EFA extracted four factors: inherent ideology, aesthetic feelings, avoidance behaviour, and policy attitudes. These explained 61.57% of the total variance in the data. The four-factor model was confirmed by B-CFA, and met the fitness criteria. The PSSS yields satisfactory psychometric properties and can be used to assess stroke-related public stigma.
ISSN:2045-2322