Fear of covid-19 and covid-19 anxiety as predictors of adherence to treatment in patients with epilepsy
Autor: | Sungur, Meltem, Arda Sürücü, Hamdiye, Köleoğlu, Şerife, Altay, Çimen |
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Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Health & Research Journal; Τόμ. 9 Αρ. 3 (2023): Volume 9 Issue 3 July-September 2023; 143-156 Health & Research Journal; Vol. 9 No. 3 (2023): Volume 9 Issue 3 July-September 2023; 143-156 |
ISSN: | 2459-3192 |
Popis: | Background: The study aimed to examine fear of COVID-19 and Coronavirus Anxiety as predictors of adherence to treatment in individuals diagnosed with epilepsy during the COVID-19 pandemic. Method and Material: The study was carried out in a university hospital. The research sample consisted of 154 epilepsy patients. The patient identification form, Coronavirus (Covid-19) Fear Scale, Coronavirus Anxiety Scale, and the Medication Adherence Report Scale (MARS) were used as data collection tools. The data were shown as percentages and mean ± standard deviation (SD), and Pearson/Spearmen correlation and linear regression analyses were used to examine the relationship between the variables. Results: The results of the analysis demonstrated that the model established for medication adherence in epilepsy patients was significant (F: 12,892, p < 0.001). In addition, for medication adherence, COVID-19 anxiety (β = -0.312), regular drug use (β = 0.242), seizure frequency (β = -0.234), and accommodation in the city center (β = -0.173) were found to be statistically significant predictors (p < 0.001). It was found that the variables explained 24% of the total variance. Conclusions: It should be remembered that infectious diseases such as COVID-19 can reoccur and that it is necessary to be prepared for new contagious diseases likely to occur. In case of the recurrence of infectious diseases such as COVID-19, it is important to conduct interventional/experimental studies on how to increase medication adherence of patients and how to reduce COVID-19 anxiety. |
Databáze: | OpenAIRE |
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