Türkiye'deki Sağlık Profesyonelleri/Sağlayıcılarına Karşı Covid 19'a Genel Bakış

Year 2022, Volume: 3 Issue: 2, 108 - 123, 31.10.2022

Erhan Dağ , Zeynep Aydın Kılınç , İshak Suat Övey , Ali Osman Uymaz

Abstract

Son zamanlarda ortaya çıkan Covid-19 pandemisi ilk olarak 2019 yılının son aylarında Çin'de ortaya çıktı ve tüm dünyayı etkisi altına aldı. Ülkemizde ilk Covid-19 vakası 11 Mart 2020 tarihinde görülmüş ve kısa sürede ülke geneline yayılmıştır. Bu süre içerisinde Sağlık Bakanlığı son derece aktif tedbirler ve tedavi yöntemleri belirleyerek sağlık personeli ile aktif olarak mücadele etmiştir. Mevcut çalışma ile vakaların arttığı aylarda sağlık personelinin Covid-19 virüsüne bakış açısının değerlendirilmesi amaçlandı. Bu amaçla Türkiye'de Sağlık Bakanlığı'nda çalışan 1062 kişiden oluşan hekim, diş hekimi, ebe, hemşire, sağlık memuru, tıp teknisyeni, laboratuvar teknisyeni, sağlık görevlisi, acil tıp teknisyeni ve diğer personelden veri toplanmıştır. Veri analizi sürecinde, çalışmada en küçük kareler regresyonuna dayalı YEM kullanılmış ve analiz Smart PLS 3.9 programı ile gerçekleştirilmiştir. Çalışma sonucunda sağlık personelinin Covid-19'a yönelik psikolojik, davranışsal, risk algısı ve tutumları değerlendirilmiştir. Sağlık çalışanlarının Covid-19 riski altında olduğu, koruyucu önlemler almasına rağmen kendilerine ve ailelerine bulaştırabilecekleri, Covid-19 virüsü ile mücadelede uzmanlarla iş birliği yapmaları gerektiği, vatandaşların virüsün bulaşması açısından koruyucu önlemlere uymadığı saptanmıştır.

Keywords

Covid-19, Pandemi, Sağlık Profesyonelleri, Psikolojik Durum

Supporting Institution

Destekleyen Herhangi Kurum Yoktur

Project Number

Yoktur

An Overview of Covid 19 in the View of Healthcare Professionals/Providers in Turkey

Abstract

The recent Covid-19 pandemic first appeared in China in the last months of 2019 and affected the whole world. The first Covid-19 case in our country was seen on March 11, 2020, and it spread throughout the country in a short time. Within this period, the Ministry of Health has actively struggled with healthcare personnel by determining extremely active measures and treatment methods. With the current study, it aimed to evaluate the perspective of healthcare personnel on the Covid-19 virus in the months when the cases increased. For this purpose, data were collected from physicians, dentists, midwives, nurses, health officers, medical technicians, laboratory technicians, paramedics, emergency medical technicians and other staff consisting of 1062 people working for the Ministry of Health in Turkey. In the data analysis process, SEM based on least squares regression was used in the study, and the analysis was conducted with Smart PLS 3.9 program. As a result of the study, the psychological, behavioural, risk perception and attitudes of the healthcare personnel towards Covid-19 were evaluated. They stated that healthcare professionals are at the risk of Covid-19, that they can infect themselves and infect their families despite taking protective measures, that they should cooperate with experts in the fight against the Covid-19 virus, and that citizens do not comply with protective measures in terms of transmission of the virus.

Keywords

Covid-19, Pandemic, Healthcare Professionals/Providers, Psychological State, Covid-19,

Project Number

Yoktur

References

• Arda B, Acıduman A. Türk'ün H1N1'le İlk İmtihanı”: 1918-19 İnfluenza Pandemisinin Ülkemizdeki Görünümü. Klinik Gelişim, 2010;28-35.
• WHO, Making preparation count: lessons from the avian influenza outbreak in Turkey . 04 10, 2020 tarihinde http://www.euro.who.int/en/publications/abstracts/making-preparation-count-lessons-from-theavian-influenza-outbreak-in-turkey.
• T.C. Sağlık Bakanlığı. Yeni Koronavirüs Hastalığı (COVID-19). 04 10, 2020 tarihinde https://covid19bilgi.saglik.gov.tr/tr/.
• Aslan R. Tarihten Günümüze Epidemiler, Pandemiler ve Covid-19. Ayrıntı Dergisi, 2020; 35-41.
• Worldometers. COVID-19 Coronavırus Pandemıc. 07 05, 2020 tarihinde https://www.worldometers.info/coronavirus/.
• Güreşci M. Covıd-19 Salgınında Türkiye'de Kriz Yönetimi İletişimi: TC Sağlık Bakanlığı. Avrasya Sosyal ve Ekonomi Araştırmaları Dergisi, 2020; 53-65.
• Aydın Kılınç Z, Dağ E. Türkiye'de İlk 2 Ay Boyunca Covid-19 Salgınına Genel Bakış 2020. (Cilt 1). Turkısh Journal Of Health And Sport. http://localhost/istr/docview.php?r_id=95
• TUİK. 05 13, 2020 tarihinde http://tuik.gov.tr/PreTablo.do?alt_id=1095.
• Tam CW, Pang EP, Lam LC, Chiu EF. Severe acute respiratory syndrome (SARS) in Hong Kong in 2003: stress and psychological impact among frontline healthcare workers. Psychological medicine, 2004;1197-1204.
• Lee SM, Kang WS, Cho AR, Kim T, Park JK. Psychological impact of the 2015 MERS outbreak on hospital workers and quarantined hemodialysis patients. Comprehensive psychiatry, 2018;123-127.
• Wu PE, Styra R, Gold WL. Mitigating the psychological effects of COVID-19 on health care workers. CMAJ, E459-E460. 2020.
• Wang J, Liu F, Tan J, Harbarth S, Pittet D, Zingg W. Implementation of infection prevention and control in acute care hospitals in Mainland China - a systematic review. Antimicrob Resist Infect Control, 32. doi:https://doi.org/10.1186/ s13756-019-0481-y(2019).
• Wang J, Zhou M, Liu F. Reasons for healthcare workers becoming infected with novel coronavirus disease 2019 (COVID-19) in China. Journal of Hospital Infection, 100-101. doi:https://doi.org/10.1016/j.jhin.2020.03.002 (2020).
• Caley P, Philp DJ, McCracken K. Quantifying social distancing arising from pandemic influenza. Journal of The Royal society Interface, 2008; 631-639. doi:10.1098/rsif.2007.1197.
• Qiu W, Rutherford S, Mao A, Chu C. The pandemic and its impacts. Health 2017;(Cilt 9). ulture and society.
• Hair JF, Black WC, Babin B, amp Anderson R E. Multivariate Data Analysis. New Jersey: Prentice Hall. 2010.
• Hair JF, Hult GT, Ringle CM, Sarstedt M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Los Angeles: Sage Publication. 2017.
• Chang YW, Hsu PY, Yang QM. Integration of online and offline channels: A view of O2O commerce. Internet Research. 2018.
• Cronbach LJ. Essentials of Psychological Testing. New York: HarperCollins. 1990.
• Fornel C, Larcker DF. Evaluating structual equation models with unobservable variables and mesaurement error. Journal of Marketing Research 1981;18(1), 39-50.
• Urbach N, Ahlemann F. Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 2010;11(2) , 5-40.
• Falk RF, Miller NBA, Primer for A Soft Modeling. Ohio: The University of Akron. 1992.
• Henseler J, Dijkstra TK, Diamantopoulos A, Straub DW, Sarstedt M, Ringle CM. Common beliefs and reality about partial least squares. Organizational Research Methods, 2014; 17(2), 182-209.
• Gold AH, Malhotra A, Segars AH. Knowledge management: An organizational capabilities perspective. Journal of management information systems, 2001; 18(1), 185-214.
• Chin WW. How to write up and report PLS analyses. In Handbook of partial least squares Springer, Berlin, Heidelberg. 2010; pp. 655-690.
• Hair JF, Ringle CM, Sarstedt M. PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 2011;19(2), 139-152.
• Henseler J, Ringle CM, Sinkovics RR. The use of partial least squares path modeling in international marketing. Advances in International Marketing, 2009;20, 277-319.
• Garson JA. critical overview of biological functions. Cham: Springer International Publishing. 2016.
• SmartPLS. Model Fit. SmartPLS: https://www.smartpls.com/documentation/algorithms-and-techniques/model-fit (2020, June 28).
• Hair JF, Sarstedt M, Ringle CM, Mena J. An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 2012; 40(3), 414-433.