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...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-01-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-27504-8 |
| _version_ | 1797952580073029632 |
|---|---|
| author | Meijuan Wan Yibing Tan Yimin Huang Qishan Zhang Fengyin Qin Xinglan Sun Fen Wang Jia Wang Xiaopei Zhang |
| author_facet | Meijuan Wan Yibing Tan Yimin Huang Qishan Zhang Fengyin Qin Xinglan Sun Fen Wang Jia Wang Xiaopei Zhang |
| author_sort | Meijuan Wan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T22:48:37Z |
| format | Article |
| id | doaj.art-cc346e9ce928477f94d1494b2f8a336d |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-10T22:48:37Z |
| publishDate | 2023-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-cc346e9ce928477f94d1494b2f8a336d2023-01-15T12:11:52ZengNature PortfolioScientific Reports2045-23222023-01-0113111110.1038/s41598-023-27504-8Development and psychometric evaluation of public stigma of stroke scale (PSSS)Meijuan Wan0Yibing Tan1Yimin Huang2Qishan Zhang3Fengyin Qin4Xinglan Sun5Fen Wang6Jia Wang7Xiaopei Zhang8School of Nursing, Xi’an Jiaotong University Health Science CenterThe Second Clinical College of Guangzhou University of Chinese MedicineSchool of Nursing, Guangzhou University of Chinese MedicineSchool of Nursing, Guangzhou University of Chinese MedicineSchool of Nursing, Guangzhou University of Chinese MedicineSchool of Nursing, Guangzhou University of Chinese MedicineSchool of Nursing, Guangzhou University of Chinese MedicineSchool of Nursing, Guangzhou University of Chinese MedicineNeurology Department, The Second Affiliated Hospital of Guangzhou University of Chinese MedicineAbstract 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.https://doi.org/10.1038/s41598-023-27504-8 |
| spellingShingle | Meijuan Wan Yibing Tan Yimin Huang Qishan Zhang Fengyin Qin Xinglan Sun Fen Wang Jia Wang Xiaopei Zhang Development and psychometric evaluation of public stigma of stroke scale (PSSS) Scientific Reports |
| title | Development and psychometric evaluation of public stigma of stroke scale (PSSS) |
| title_full | Development and psychometric evaluation of public stigma of stroke scale (PSSS) |
| title_fullStr | Development and psychometric evaluation of public stigma of stroke scale (PSSS) |
| title_full_unstemmed | Development and psychometric evaluation of public stigma of stroke scale (PSSS) |
| title_short | Development and psychometric evaluation of public stigma of stroke scale (PSSS) |
| title_sort | development and psychometric evaluation of public stigma of stroke scale psss |
| url | https://doi.org/10.1038/s41598-023-27504-8 |
| work_keys_str_mv | AT meijuanwan developmentandpsychometricevaluationofpublicstigmaofstrokescalepsss AT yibingtan developmentandpsychometricevaluationofpublicstigmaofstrokescalepsss AT yiminhuang developmentandpsychometricevaluationofpublicstigmaofstrokescalepsss AT qishanzhang developmentandpsychometricevaluationofpublicstigmaofstrokescalepsss AT fengyinqin developmentandpsychometricevaluationofpublicstigmaofstrokescalepsss AT xinglansun developmentandpsychometricevaluationofpublicstigmaofstrokescalepsss AT fenwang developmentandpsychometricevaluationofpublicstigmaofstrokescalepsss AT jiawang developmentandpsychometricevaluationofpublicstigmaofstrokescalepsss AT xiaopeizhang developmentandpsychometricevaluationofpublicstigmaofstrokescalepsss |