COVID-19 Infection Stigma Scale: psychometric properties

Background Stigma has been noticed towards patients with COVID-19 in several regions of the world. This social discrimination has contributed to delay in diagnosis and treatment. Also, it may increase the suffering of the patients leading to poor outcome of the illness. Stigma can be assessed with the use of a valid and reliable instrument developed and adapted to our culture. Our objective was to analyze the psychometric properties of COVID-19 Infection Stigma Scale (CISS) for measuring the social stigma among patients with COVID-19 in Egypt. A cross-sectional study that included 182 COVID-19 patients was carried out. The reliability, the convergent validity, and the external and internal consistency of the scale were measured. Factor analysis was used to exclude the weak items. Results The mean of the COVID-19 Infection Stigma Scale scores was 34.97±10.35 which was higher than 50% of the score. Absence of the floor and ceiling effects was observed. Cronbach’s alpha coefficient for scale reliability ranged from 0.75 to 0.94 with 0.82 for the total score. The convergent validity coefficients ranged from 0.36 to 0.63. Test-retest validity Pearson’s correlation coefficients ranged from 0.72 to 0.92 with 0.89 for the total score. The split half correlation coefficient was 0.86, and the reliability coefficient was 0.92. Both were acceptable correlation coefficients for internal consistency of the scale. Factor analysis showed two factors had latent root greater than 1. The rotated component matrix of the 2 factors revealed that all questions had r value more than 0.30, which means that no need to exclude any of them. Conclusion The results showed that the COVID-19 Infection Stigma Scale is a valid and reliable instrument for the Egyptian people..

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:57

Enthalten in:

The Egyptian journal of neurology, psychiatry and neurosurgery - 57(2021), 1 vom: 17. Mai

Sprache:

Englisch

Beteiligte Personen:

Elgohari, Hayam Mohammed [VerfasserIn]
Bassiony, Medhat Mohamed [VerfasserIn]
Sehlo, Mohammad Gamal [VerfasserIn]
Youssef, Usama Mahmoud [VerfasserIn]
Ali, Heba Mohamed [VerfasserIn]
Shahin, Islam [VerfasserIn]
Elrafey, Dina Sameh [VerfasserIn]
Mahdy, Rehab Saeed [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

COVID-19
Stigma scale, Psychometric properties

Anmerkungen:

© The Author(s) 2021

doi:

10.1186/s41983-021-00317-0

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

OLC2125539357