Yazarlar |
Belma Füsun Köseoğlu
Tobb Ekonomi ve Teknoloji Üniversitesi, Türkiye |
Birkan Sonel Tur
Türkiye |
Nilüfer Kutay Ordu Gökkaya
Türkiye |
Figen TUNCAY
Kırşehir Ahi Evran Üniversitesi, Türkiye |
Özet |
Objectives: The aim of this study was to evaluate long COVID patients with persistent respiratory symptoms through the application of the World Health Organization (WHO) International Classification of Functioning, Disability and Health (ICF) framework.Patients and methods: This national, prospective, multicenter, cross-sectional study was conducted with 213 patients (118 females, 95 males; median age 56 years; range, 20 to 85 years) with long COVID between February 2022 and November 2022. The ICF data were primarily collected through patient interviews and from the acute medical management records, physical examination findings, rehabilitation outcomes, and laboratory test results. Each parameter was linked to the Component Body Functions (CBF), the Component Body Structures (CBS), the Component Activities and Participation (CAP), the Component Environmental Factors (CEF), and Personal Factors according to the ICF linking rules. Analysis was made of the frequency of the problems encountered at each level of ICF category and by what percentage of the patient sample.Results: In the ICF, 21 categories for CBF, 1 category for CBS, and 18 categories of CAP were reported as a significant problem in a Turkish population of long COVID patients with persistent respiratory symptoms. Furthermore, eight categories for CEF were described as a facilitator, and four as a barrier.Conclusion: These results can be of guidance and provide insight into the identification of health and health-related conditions of long COVID patients with persistent respiratory symptoms beyond the pathophysiological aspects, organ involvement, and damage of COVID-19. The ICF can be used in patients with long COVID to describe the types and magnitude of impairments, restrictions, special needs, and complications. |
Anahtar Kelimeler |
International Classification of Functioning | Long COVID | respiratory problems |
Makale Türü | Özgün Makale |
Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
Dergi Adı | Baycinar Tibbi Yayincilik |
Dergi ISSN | 2587-1250 |
Dergi Tarandığı Indeksler | SCI-Expanded |
Dergi Grubu | Q3 |
Makale Dili | Türkçe |
Basım Tarihi | 10-2023 |
Cilt No | 69 |
Sayı | 4 |
Sayfalar | 410 / 423 |
Doi Numarası | 10.5606/tftrd.2023.13455 |
Makale Linki | http://dx.doi.org/10.5606/tftrd.2023.13455 |