Turkiye Klinikleri Journal of Health Sciences

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Fizyoterapi ve Rehabilitasyon Öğrencilerinin Teknostres Düzeyleri, İlişkili Faktörler ve Sağlıkta Yapay Zekânın Kullanımına Yönelik Farkındalıkları: Kesitsel Bir Çalışma
Technostress Levels of Physiotherapy and Rehabilitation Students, Related Factors and Awareness of the Use of Artificial Intelligence in Health: A Cross-Sectional Study
Erhan SEÇERa , Derya ÖZER KAYAb
aManisa Celal Bayar Üniversitesi Sağlık Bilimleri Fakültesi, Fizyoterapi ve Rehabilitasyon Bölümü, Manisa, Türkiye
bİzmir Kâtip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi, Fizyoterapi ve Rehabilitasyon Bölümü, İzmir, Türkiye
Turkiye Klinikleri J Health Sci. 2024;9(1):127-36
doi: 10.5336/healthsci.2023-100746
Article Language: TR
Full Text
ÖZET
 Amaç: Bu araştırma, fizyoterapi ve rehabilitasyon öğrencilerinin teknostres düzeylerinin değerlendirilmesini, ilişkili olabilecek faktörler açısından incelenmesini ve sağlıkta yapay zekânın kullanımına yönelik farkındalıklarının belirlenmesini amaçlamıştır. Gereç ve Yöntemler: Araştırmanın örneklemini 461 fizyoterapi ve rehabilitasyon öğrencisi (yaş ortalaması, 20,73±2,59 yıl) oluşturmuştur. Öğrencilerin teknostres düzeyleri Teknostres Ölçeği ile sağlıkta yapay zekânın kullanımına yönelik farkındalıkları ise Yapay Zekâ Farkındalık Anketi ile değerlendirilmiştir. İki grup arasındaki ölçüm değerlerinin karşılaştırılmasında Mann-Whitney U testi, ikiden fazla grupta ölçüm değerlerinin karşılaştırılmasında Kruskal-Wallis testi kullanılmıştır. Bulgular: Öğrencilerin teknostres düzeylerinin orta derecede 26,00 (18,00/29,00) olduğu, kadın öğrencilerin teknostres düzeylerinin daha yüksek olduğu ve öğrencilerin teknostres düzeylerinin sınıf düzeyine ve günlük internet kullanım süresine göre değişiklik göstermediği görülmüştür (sırasıyla, p=0,01, p=0,16, p=0,94). Öğrencilerin %91,5'i mesleğe yönelik yapay zekâ ile ilgili gelişmeleri takip etmenin önemli olduğunu, %74,2'si ise yapay zekânın sağlık alanında kullanılması gerektiğini bildirmiştir. Bununla birlikte, %89,4'ü yapay zekâ uygulamalarının etik yönden de eğitilmesi gerektiğini; %59'u yapay zekânın kullanımın artmasının, gelecekte iş bulma durumunu tehlikeye sokacağını; %59,9'u ise yapay zekânın yaygınlaşması ile sağlık çalışanlarına olan ihtiyacın giderek azalacağını belirtmiştir. Sonuç: Öğrencilerin teknostres düzeyini yönetebilmeleri ve sağlıkta yapay zekânın kullanımına yönelik etik ve mesleki kaygılarının giderilebilmesi adına, teknostres ve yapay zekâ konularını içeren ilgili teorik ve/veya uygulamalı derslerin fizyoterapi ve rehabilitasyon ders öğretim planlarına entegre edilmesi yararlı olabilir.

Anahtar Kelimeler: Farkındalık; sağlık; stres; teknoloji
ABSTRACT
 Objective: This study aimed to evaluate the technostress levels of physiotherapy and rehabilitation students, examine for possible related factors, and determine their awareness of the use of artificial intelligence in health. Material and Methods: The sample of the study consisted of 461 physiotherapy and rehabilitation students (mean age, 20.73±2.59 years). Students' technostress levels were assessed with the Technostress Scale, and their awareness of the use of artificial intelligence in health were assessed with the Artificial Intelligence Awareness Survey. Mann-Whitney U test was used to compare measurement values between two groups, and Kruskal-Wallis test was used to compare measurement values in more than two groups. Results: It was observed that students' technostress levels were moderately high at 26.00 (18.00/29.00), female students' technostress levels were higher, and students' technostress levels did not vary according to grade level and daily internet usage time (p=0.01, p=0.16, p=0.94, respectively). A total of 91.5% of the students stated that it is important to follow the developments in artificial intelligence for the profession, and 74.2% stated that artificial intelligence should be used in the field of health. However, 89.4% stated that artificial intelligence applications should also be trained ethically; 59% stated that the increased use of artificial intelligence will jeopardize employment in the future; 59.9% stated that with the widespread use of artificial intelligence, the need for healthcare workers will gradually decrease. Conclusion: In order to manage students' technostress level and to address ethical and professional concerns regarding the use of artificial intelligence in health, it may be useful to integrate relevant theoretical and/or applied courses including technostress and artificial intelligence into physiotherapy and rehabilitation course teaching plans.

Keywords: Awareness; health; stress; technology
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