Attitude Analysis Against Traditional and Complementary Medicine: An Application Specific to Covid-19
Nihangül Daştan
2922
ABSTRACT
Background: In the ages when modern medicine did not exist yet,
people developed some methods to treat their diseases with their own efforts.
These treatment methods consist of empirical applications based on experience
and knowledge developed in the light of centuries of experience and transferred
from generation to generation. Although it lost its old effect and wide
application area with the development of modern medicine, folk medicine still
exists today.
Aim: Examining the attitudes and behaviors of people towards modern and
traditional medicine practices by taking demographic and individual differences
as reference during the Covid-19 epidemic. The data set of this study was
obtained through a questionnaire applied on 396 individuals living in Erzurum
city center in 2021. Reliability Analysis and Confirmatory Factor Analysis
(RACFA), Chi-square test, independent sample t test and ANOVA test were used
within the scope of the study.
Results: As the access to modern medicine increases and the learning styles of
generations differ, the application dimension of traditional and complementary
medicine (TCM) weakens. On the other hand, the level of satisfaction with
modern medicine also changes in parallel with expectations. The significant
relationships between the variables in the study findings focus on questions
related to modern medicine. A significant relationship was found between the
intellectual perspective to traditional and complementary medicine
sub-dimension and the presence of people who had Covid-19 in the close circle
of the participants.
Conclusion: It has been determined that individuals see traditional and complementary
medicine as complementary rather than an alternative to modern medicine, and
although they have above-average theoretical knowledge, their application
aspects are weak.
Keywords: Traditional and Complementary Medicine, Folk Medicine, Covid-19, Attitude
Analysis