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Translation and validation of Greek version of the Pandemic Grief Scale

Published online by Cambridge University Press:  19 July 2023

K. S. Kitsou*
Affiliation:
Department of Public Health
M. Bakola
Affiliation:
Department of Public Health
C. Kalogirou
Affiliation:
Department of Public Health
S. Aggelakou-Vaitsi
Affiliation:
Department of Public Health
N. Vaitsis
Affiliation:
Department of Public Health
K. Argyropoulos
Affiliation:
Department of Public Health
M. Kampouraki
Affiliation:
Department of Public Health
E. Gkatsi
Affiliation:
Department of Public Health
K. Tsolaki
Affiliation:
Department of Public Health
M. Vakas
Affiliation:
Department of Public Health
A. Theochari
Affiliation:
Department of Public Health
K. Mavridou
Affiliation:
Department of Public Health
M. Siali
Affiliation:
Department of Public Health
S. Karatzeni
Affiliation:
Department of Public Health
M. Chalkidou
Affiliation:
Department of Public Health
V. Karagianni
Affiliation:
Department of Public Health
N. Kioses
Affiliation:
Department of Public Health
P. Gourzis
Affiliation:
Department of Psychiatry, University of Patras, Medical School, Patras, Greece
E. Jelastopulu
Affiliation:
Department of Public Health
*
*Corresponding author.

Abstract

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Introduction

Those who have lost loved ones to COVID-19 may be considered at risk of complicated grief. A 5-item mental health screening tool called the Pandemic Grief Scale (PGS) was developed to find likely instances of dysfunctional grief during the pandemic.

Objectives

To develop a Greek version of PGS and to explore the validity and reliability among the general population in Greece in order to further use it as clinical mental health screener.

Methods

We conducted a cross-sectional study between January and April 2022, and 342 persons were recruited. The questionnaire included socio-demographic parameters, the PGS, the Brief Resilience Coping Scale to capture tendencies to cope with stress and the Athens Insomnia Scale to assess the insomnia symptoms. Based on experiences over the previous two weeks, each PGS item is scored on a 4-point scale, from 0 (not at all) to 3 (almost every day), with higher rating and a cut-off of 7 indicating dysfunctional grief. Prior to the psychometric validation a linguistic validation and adaptation in Greek was performed.

Results

A total of 342 patients participated in the study, 67.8 % were females and 27.8% were 18-30 years old. Coefficient Validity Ratio (CVR) results showed that 100% (n = 5) of items were acceptable. Value of Cronbach’s alpha was found 0.848. A one-factor model was conducted by Confirmatory Factor Analysis (CFA), giving acceptable global fit indices. The resulting global fit indices [Standardized Root Mean Square Residual (SRMR) = 0.037, Comparative Fit Index (CFI) = 0.952, Tucker–Lewis Index (TLI)= 0.903] showed that the 5 items in one-factor solution proposed by the primary researchers shouldn’t be rejected for the Greek version. The Bartlett Test of Sphericity was 758.08 (p <0.001). The Kaiser-Meyer-Olkin Measure of Sampling Adequacy was 0.826, showing that the data is suitable for factor analysis. The one-factor solution derived in our study consisted of 5 items. The total explained variance was 64.3 %.

Conclusions

The findings of this research support the PGS psychometric validity and reliability. PGS is suitable to be used in healthcare to identify and assist individuals, who are experiencing this type of pandemic-related dysfunctional grief as it is a screening tool that it’s simple to use, access, and understand.

Disclosure of Interest

None Declared

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
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