11. Uluslararası Sağlık Bilimleri ve Yönetimi Kongresi (IHMC 2026), “Sağlıkta Akıllı Dönüşüm: Yapay Zeka”
11. Uluslararası Sağlık Bilimleri ve Yönetimi Kongresi (IHMC 2026), 6 - 08 Mayıs 2026, ss.1-3, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Sayfa Sayıları: ss.1-3
- Erzincan Binali Yıldırım Üniversitesi Adresli: Evet
Özet
ABSTRACT
Problem of the Study: Provincial and metropolitan municipalities in our
country offer many services in the field of health, but there is no standard in
both the services provided and in the management structure.
Purpose of the Study: The aim of this study is to examine the validity and
reliability of the Turkish version of the Disaster Resilience Measurement Tool
(DRMT-C19).
Method: The study, conducted using a methodological design,
was completed with 445 healthcare personnel who are volunteers of the National
Medical Rescue Team (UMKE) working under the Ministry of Health. Quantitative
data analyses were performed using SPSS 22 and AMOS 21 software.
Results: The results of the analyses indicated that the scale
significantly distinguished between the bottom and top 27% groups (t = -75.508,
p < .001). Exploratory factor analysis revealed a structure consisting of 14
items and 3 factors, explaining 65.145% of the total variance. Confirmatory
factor analysis results also supported that this three-factor structure fit the
theoretical model well and excellently. The scale’s reliability findings are
strong; Composite Reliability (CR) values were above 0.70, and Average Variance
Explained (AVE) values were above 0.50. The scale’s overall Cronbach’s alpha
coefficient is 0.89, and the intraclass correlation coefficient (ICC) is 0.98
(95% CI [0.96, 0.99], p < .001). In terms of construct validity, the
DRMT-C14 was found to demonstrate convergent validity with the Brief Resilience
Scale (BRS), concurrent validity with the Individual Disaster Resilience Scale
(IDRS), and discriminant validity with the Beck Depression Inventory for
Primary Care (BDI-PC).
Conclusions: The findings indicate that the DRMT-C14 possesses
robust psychometric properties and can be used as a valid and reliable
measurement tool for assessing disaster resilience among Turkish-speaking
emergency medical teams.
Keywords: Disaster, Resilience, Validity and reliability,
Emergency medical teams, Psychometrics.