Evidence map›Paper›PMID 36631488›Full record

ArticleScientific reports2023

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

Meijuan Wan, Yibing Tan, Yimin Huang, Qishan Zhang, Fengyin Qin, Xinglan Sun, Fen Wang, Jia Wang, Xiaopei Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Meijuan WanSchool of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yibing TanThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China. m13560013117@163.com.
Yimin HuangSchool of Nursing, Guangzhou University of Chinese Medicine, No. 232, Waihuan East Road Higher Education Mega Center, Guangzhou, Guangdong, China.
Qishan ZhangSchool of Nursing, Guangzhou University of Chinese Medicine, No. 232, Waihuan East Road Higher Education Mega Center, Guangzhou, Guangdong, China.
Fengyin QinSchool of Nursing, Guangzhou University of Chinese Medicine, No. 232, Waihuan East Road Higher Education Mega Center, Guangzhou, Guangdong, China.
Xinglan SunSchool of Nursing, Guangzhou University of Chinese Medicine, No. 232, Waihuan East Road Higher Education Mega Center, Guangzhou, Guangdong, China.
Fen WangSchool of Nursing, Guangzhou University of Chinese Medicine, No. 232, Waihuan East Road Higher Education Mega Center, Guangzhou, Guangdong, China.
Jia WangSchool of Nursing, Guangzhou University of Chinese Medicine, No. 232, Waihuan East Road Higher Education Mega Center, Guangzhou, Guangdong, China.
Xiaopei ZhangNeurology Department, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

StrokeAgedCross-Sectional StudiesFactor Analysis, StatisticalHumansPsychometricsReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID36631488
PMCPMC9834381

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.