APPLICATION OF THE CONCEPTS OF QUALITY OF LIFE IN THE HEALTH ASSESSMENT OF POST COVID-19 PATIENTS

Autor: Raisa Puia, Tudor Costru, Alina Ungureanu, Svetlana Gorobievschi
Rok vydání: 2021
Předmět:
Zdroj: Journal of Social Sciences. 4:79-88
ISSN: 2587-3504
2587-3490
DOI: 10.52326/jss.utm.2021.4(3).09
Popis: The phenomenon of the Covid-19 pandemic has affected the whole globe, the consequences of which are long lasting and difficult to estimate. The Republic of Moldova, being a developing country, could not overcome these serious consequences, caused by the reduction of public health, the reduction of the work capacity of the population, the deplorable condition of the medical system, caused by small investments in health, etc. Human society has been put to hard tests of survival of patients with this virus, the incidence rate of diseases was about 11%. Thanks to the financial aid of the European Union, Romania and other countries, the Republic of Moldova managed to cope with things in the fight against Covid. This article presents the results of the research of the authors, participants of the national project "Assessment of health of post – COVID - 19 patients in the Republic of Moldova", which aimed to develop the Electronic Register of patients with Covid - 19 (March 2020 - June 2021), which will allow monitoring the process of treatment and recovery of the consequences of this disease, by assessing the state of health and quality of life both at admission and at discharge of the respective patients. Based on the concept of quality of life as a socio-economic category and its interconnections with health, the authors proposed the system of medical indicators to assess the health and quality of life of patients affected by covid. In the authors' opinion, a special role in the treatment and treatment of comorbidities belongs to comorbidities, so the authors selected them as separate study subjects to prove their negative impact on the form of the disease and the state of health and quality of life at discharge of patients
Databáze: OpenAIRE