G�ndelik Ayr�mc�l�k �l�e�i'nin (GA�) Hem�irelere Uyarlanmas�: T�rk�e Ge�erlik ve G�venirlik �al��mas�

¹Hamburg-Eppendorf (UKE) University Medical Center, Research Institute for Dermatology and Health Care Research in Nursing (CVcare), Hamburg, Germany
²Sivas Cumhuriyet �niversitesi, Sa�l�k Bilimleri Fak�ltesi, Sa�l�k Y�netimi B�l�m�, Sivas, T�rkiye
³Department of Occupational Health, Hazardous Substances and Public Health, Health and Welfare Services Agency of the German Social Accident Insurance, Hamburg, Germany
⁴University of Witten/Herdecke, School of Medicine, Faculty of Health, Health Services Research, Witten, Germany

Ama�: G�ndelik Ayr�mc�l�k �l�e�i sa�l�k ve sosyal psikoloji alanlar�nda bireylerin ayr�mc�l�k ve e�it olmayan yakla��mla kar�� kar��ya kalma deneyimlerini incelemek i�in s�kl�kla kullan�lan bir �l�ektir. T�rk�e�de hem�irelerde ayr�mc�l�� incelemek �zere uyarlanm�� bir �l��m arac�na rastlanmamas� nedeniyle bu �al��ma, �l�e�in T�rk�e diline ve hem�ireli�e uyarlanarak, ge�erlik ve g�venirli�ini yapmak amac�yla ger�ekle�tirilmi�tir.
Y�ntem: Metodolojik tasar�mdaki �al��man�n evrenini T�rkiye'de bir �niversite hastanesinde �al��an hem�ireler olu�tururken, �rneklemini �al��maya g�n�ll� kat�lan 244 hem�ire olu�turmu�tur. Veriler Ocak ve Nisan 2023 tarihleri aras�nda �evrimi�i olarak toplanm��t�r. Uyarlanan �l�e�in fakt�r yap�s�n� analiz etmek i�in maksimum olabilirlik tahmini ile do�rulay�c� fakt�r analizi yap�lm��t�r.
Bulgular: Uyarlanan G�ndelik Ayr�mc�l�k �l�e�i'nin alan yaz�nda en yayg�n olarak kullan�lan sekiz maddeli, tek fakt�rl� ba�lang�� modeli zay�f bir model uyumu g�stermi�tir (RMSEA= 0,145; CFI= 0,839; TLI= 0,775; SRMR 0,058), ancak madde 1 ve 2 ile madde 7 ve 8 aras�na iki hata kovaryans� eklendikten sonra model uyumu �nemli �l��de iyile�mi�tir (RMSEA= 0,051; CFI= 0,982; TLI= 0,973; SRMR= 0,036).
Sonu�: �l�e�in T�rk�e uyarlamas� sonras�nda, hem�irelerin ayr�mc�l�k deneyimlerini de�erlendirmek i�in kullan�labilecek ge�erli ve g�venilir bir ara� oldu�u saptanm��t�r. �l�e�in di�er �lkelerdeki uyarlamalar�na benzer �ekilde, baz� hata kovaryanslar�n�n parametrelendirilmesi gerekti�i g�z �n�nde bulundurularak, �l�ekle yap�lan �l��mler bir �rt�k de�i�ken modeli kullan�larak analiz edilmelidir.

Anahtar Kelimeler:

Adaptation of Everyday Discrimination Scale (EDS) for Nurses: A Validity and Reliability Study in Turkish

¹Hamburg-Eppendorf (UKE) University Medical Center, Research Institute for Dermatology and Health Care Research in Nursing (CVcare), Hamburg, Germany
²Sivas Cumhuriyet University, Faculty of Health Sciences, Department of Health Management, Sivas, T�rkiye
³Department of Occupational Health, Hazardous Substances and Public Health, Health and Welfare Services Agency of the German Social Accident Insurance, Hamburg, Germany
⁴University of Witten/Herdecke, School of Medicine, Faculty of Health, Health Services Research, Witten, Germany

Aim: The Everyday Discrimination Scale is frequently used in the field of health and social psychology to examine individuals' experiences of discrimination and unequal treatment. To the best of our knowledge, no Turkish language version exists which has been adapted to study discrimination in nurses. The aim of this study was to adapt the Scale to nurses and to examine its factorial validity and reliability.
Methods: The population and sample of the study consisted of nurses working in a university hospital in Turkey. Data were collected online between January and April 2023. Confirmatory factor analysis with maximum likelihood estimation was conducted to analyse the factor structure of the adapted Scale.
Results: A total of 244 nurses voluntarily participated in the study. The 8-item, one-factor baseline model of the adapted Everyday Discrimination Scale, most commonly used in literature, showed a poor model fit (RMSEA= 0.145; CFI= 0.839; TLI= 0.775; SRMR 0.058). It improved significantly after addition of two error covariances between items 1 and 2 and items 7 and 8 (RMSEA= 0.051; CFI= 0.982; TLI= 0.973; SRMR= 0.036).
Conclusion: The Turkish version of the Everyday Discrimination Scale can be used as a valid and reliable tool to assess nurses' experiences of discrimination. Similar to the adaptations of the scale in other countries, measurements with the scale should be analysed using a latent variable model, considering that some error covariances need to be parameterized.

Keywords:

Nazan Ulusoy, Hatice Ulusoy, Albert Nienhaus, Patrick Brzoska. Adaptation of Everyday Discrimination Scale (EDS) for Nurses: A Validity and Reliability Study in Turkish. Journal of Health and Nursing Management. 2024; 11(3): 541-550

Sorumlu Yazar: Nazan Ulusoy, Germany