Hemşirelerin Teletıp Bilgisi ve Teletıp İstekliliği Arasındaki İlişkilerin Belirlenmesine Yönelik Bir Araştırma

Öz

Bu araştırmanın amacı, sağlık sisteminin önemli unsurlarından birisi olan hemşirelerin son zamanlarda kullanımı günden güne artış gösteren teletıpa ilişkin bilgi düzeyi ile teletıp istekliliği arasındaki ilişkinin bilimsel alanyazına kazandırılmasıdır. Araştırmanın evrenini İstanbul ilinde kamu sağlık kurumlarında sağlık hizmeti sunumu gerçekleştiren hemşireler oluşturmaktadır. Araştırmada nicel araştırma yöntemlerinden olan anket yöntemi tercih edilmiştir (Etik Kurul Raporu: İstanbul Esenyurt Üniversitesi Girişimsel Olmayan Etik Kurulundan 18.04.2022 tarih ve 2022/04-4 nolu karar ile alınmıştır). Anketler hem çevrimiçi hem de yüz yüze yöntemle toplanmıştır. Araştırma kapsamına alınan hemşire sayısı 346 dır. Değişkenlere güvenilirlik analizi uygulanmıştır. Teletıp bilgisinin güvenilirlik katsayısı 0,914, teletıp istekliliği değişkeninin güvenilirlik katsayısı 0,883 olarak hesap edilmiştir. Ölçeğe ait genel güvenilirlik katsayısı ise 0,908 olarak bulunmuştur. Güvenilir olduğu tespit edildikten sonra demografik bulgularına göre araştırma verileri analize tabii tutulmuştur. Araştırmanın demografik bulguları alt değişkenlere ayrılarak da analiz edilmiştir. Araştırmada doğrulayıcı faktör analizini tespit etmek amacıyla Path (Yol) analizi uygulanmıştır. Yapılan analiz sonrasında araştırmada kullanılan modelin uyum değerlerinin iyi olduğu tespit edilmiştir. Araştırmanın iki değişkeni olan Teletıp Bilgisi ile Teletıp İstekliliği arasındaki ilişkiyi tespit etmek için ise korelasyon analizi uygulanmıştır. Yapılan analiz sonucunda her iki değişken arasında istatistiki bir ilişkinin olduğu ve ilişkinin derecesinin de 0,608 olduğu tespit edilmiştir.

Anahtar Kelimeler

• Teletıp
• Hemşireler
• Kamu Sağlık Kuruluşu
• Teletıp Bilgisi
• Teletıp İstekliliği

A Study on The Determination of The Relationships Between Nurses' Telemedicine Knowledge and Telemedicine Willingness

Abstract

The aim of this research is to bring the relationship between the level of knowledge about telemedicine, which is one of the important elements of the health system, and the willingness to telemedicine, which is increasing day by day, to the scientific literature. The population of the research consists of nurses who provide health services in public health institutions in Istanbul. The survey method, which is one of the quantitative research methods, was preferred in the study (Ethics Committee Report: It was obtained from the Non-Interventional Ethics Committee of Istanbul Esenyurt University with the decision dated 18.04.2022 and numbered 2022/04-4). Questionnaires were collected both online and face-to-face. The number of nurses included in the research is 346. Reliability analysis was applied to the variables. The reliability coefficient of telemedicine knowledge was calculated as 0.914, and the reliability coefficient of the telemedicine willingness variable was calculated as 0.883. The general reliability coefficient of the scale was found to be 0.908. After it was determined that it was reliable, the research data were analyzed according to the demographic findings. The demographic findings of the study were also analyzed by dividing them into sub-variables. Path analysis was applied to determine confirmatory factor analysis in the research. After the analysis, it was determined that the fit values of the model used in the research were good. Correlation analysis was applied to determine the relationship between Telemedicine Knowledge and Telemedicine Willingness, which are the two variables of the research. As a result of the analysis, it was determined that there was a statistical relationship between both variables and the degree of the relationship was 0.608.

Keywords

• Telemedicine
• Nurses
• Public Health Institution
• Telemedicine Knowledge
• Telemedicine Willingness

References

1. Abdalla Eltahir, M., Ebrahim Alshommemri, A., & Suliman Alyahya, R. (2021). Telemedicine during COVID-19 Pandemic in Saudi Arabia: Oral and Maxillofacial Surgeons’ Knowledge and Implementation.
2. Albahrouh, S. I., & Buabbas, A. J. (2021). Physiotherapists’ perceptions of and willingness to use telerehabilitation in Kuwait during the COVID-19 pandemic. BMC medical informatics and decision making, 21(1), 1-12.
3. Albarrak, A. I., Mohammed, R., Almarshoud, N., Almujalli, L., Aljaeed, R., Altuwaijiri, S., & Albohairy, T. (2021). Assessment of physician’s knowledge, perception and willingness of telemedicine in Riyadh region, Saudi Arabia. Journal of infection and public health, 14(1), 97-102.
4. Ashfaq, A., Memon, S. F., Zehra, A., Barry, S., Jawed, H., Akhtar, M., ... & Siddiqi, R. (2020). Knowledge and attitude regarding telemedicine among doctors in Karachi. Cureus, 12(2).
5. Biruk, K., & Abetu, E. (2018). Knowledge and attitude of health professionals toward telemedicine in resource-limited settings: a cross-sectional study in North West Ethiopia. Journal of healthcare engineering, 2018.
6. D'Souza, A. F., & Rebello, S. R. (2021). Perceptions and Willingness of Physiotherapists in India to Use Telerehabilitation During the COVID-19 Pandemic. International Journal of Telerehabilitation, 13(2).
7. Eikelboom, R. H., & Atlas, M. D. (2005). Attitude to telemedicine, and willingness to use it, in audiology patients. Journal of telemedicine and telecare, 11(2_suppl), 22-25.
8. Eisenstein, E., Kopacek, C., Cavalcante, S. S., Neves, A. C., Fraga, G. P., & Messina, L. A. (2020). Telemedicine: a bridge over knowledge gaps in healthcare. Current pediatrics reports, 8(3), 93-98.

9. Elhadi, M., Elhadi, A., Bouhuwaish, A., Alshiteewi, F. B., Elmabrouk, A., Alsuyihili, A., ... & Abdulmalik, A. (2021). Telemedicine awareness, knowledge, attitude, and skills of health care workers in a low-resource country during the COVID-19 pandemic: cross-sectional study. Journal of medical Internet research, 23(2), e20812.
10. George, J. T., Rozario, K. S., & Abraham, A. (2007). A survey in India of doctors' knowledge, attitudes and practice regarding telemedicine and e-health. Journal of Telemedicine and Telecare, 13(6), 322-322.
11. Kifle, M., Payton, F. C., Mbarika, V., & Meso, P. (2010). Transfer and adoption of advanced information technology solutions in resource-poor environments: the case of telemedicine systems adoption in Ethiopia. Telemedicine and e-Health, 16(3), 327-343.
12. Krousel-Wood, M. A., Re, R. N., Abdoh, A., Chambers, R., Altobello, C., Ginther, B., ... & Kleit, A. (2001). The effect of education on patients' willingness to participate in a telemedicine study. Journal of telemedicine and telecare, 7(5), 281-287.
13. Maietti, E., Sanmarchi, F., Palestini, L., Golinelli, D., Esposito, F., Boccaforno, N., ... & Di Bartolo, P. (2021). The experience of patients with diabetes with the use of telemedicine and teleassistance services during the COVID-19 pandemic in Italy: Factors associated with perceived quality and willingness to continue. Diabetes Research and Clinical Practice, 180, 109047.
14. Monteiro, A. (2014). Worldwide Pediatric Radiology Network (RADPED) in Brazil: growth of telemedicine and the global exchange of knowledge. Pediatric Radiology, 44(6), 672-673.
15. Rand, E. R., Lappan, C. M., Lee, J. C., & Furgerson, J. L. (2009). Paging the worldwide cardiology consultant: the Army Knowledge Online Telemedicine Consultation Program in cardiology. Military medicine, 174(11), 1144-1148.
16. Rhodes, L. A., Huisingh, C. E., McGwin, G., Girkin, C. A., & Owsley, C. (2019). Glaucoma patient knowledge, perceptions, and predispositions for telemedicine. Journal of glaucoma, 28(6), 481.
17. Sim, J., Shaw, T., Li, S. T., Courtney, E., Yuen, J., Chiang, J., ... & Ngeow, J. (2021). Understanding patients' views and willingness toward the use of telehealth in a cancer genetics service in Asia. Journal of genetic counseling, 30(6), 1658-1670.
18. Singh, A., Sahoo, A. K., Dhaneria, S., & Gupta, D. (2021). The outlook of doctors toward telemedicine: A cross-sectional study of knowledge, awareness, and attitude in central India. Journal of Family Medicine and Primary Care, 10(10), 3617.
19. Takahashi, T., Ae, R., Minami, K., Shibata, M., Kubo, T., Kosami, K., & Takeshita, K. (2020). Willingness of patients with knee osteoarthritis to use telemedicine amid Sars-CoV-2 outbreak. Geriatric Orthopaedic Surgery & Rehabilitation, 11, 2151459320979974.
20. TÜİK, Türkiye İstatistik Kurumu. Sağlık Personeli Sayılarının İllere Göre Dağılımı (Nisan 2021). https://data.tuik.gov.tr/Kategori/GetKategori?p=Saglik-ve-Sosyal-Koruma-101. Erişim Tarihi: 01.06.2022
21. Vaughan, E. M., Naik, A. D., Lewis, C. M., Foreyt, J. P., Samson, S. L., & Hyman, D. J. (2020). Telemedicine training and support for community health workers: improving knowledge of diabetes. Telemedicine and e-Health, 26(2), 244-250.
22. Wallace, L., Davis, S. C., Meehan, N., Parker, V., & King, K. (2021). The Impact of an Educational Program on School-based Telehealth and Parent Willingness to Use Telehealth. The Journal for Nurse Practitioners, 17(10), 1256-1260.
23. Wamala, D. S., & Augustine, K. (2013). A meta-analysis of telemedicine success in Africa. Journal of pathology informatics, 4.
24. Werner, P., & Karnieli, E. (2003). A model of the willingness to use telemedicine for routine and specialized care. Journal of telemedicine and telecare, 9(5), 264-272.
25. Yaghobian, S., Ohannessian, R., Iampetro, T., Riom, I., Salles, N., de Bustos, E. M., ... & Mathieu-Fritz, A. (2020). Knowledge, attitudes and practices of telemedicine education and training of French medical students and residents. Journal of Telemedicine and Telecare, 1357633X20926829.
26. Zailani, S., Gilani, M. S., Nikbin, D., & Iranmanesh, M. (2014). Determinants of telemedicine acceptance in selected public hospitals in Malaysia: clinical perspective. Journal of medical systems, 38(9), 1-12.