The relationship between COVID-19 fatality and quality health care in
OECD countries
Abstract
Background/aim: The relationship between COVID-19 fatality and
quality health care in OECD countries was aimed to be examined,
considering the effectiveness of primary health care, the effectiveness
of secondary health care. Materials and methods: Data from OECD
countries were collected from open-access websites. Dependent variable
is COVID-19 fatality, independent variables are effectiveness of primary
health care, the effectiveness of secondary health care, gross domestic
product, median age, number of hospital beds, number of intensive care
unit beds, number of doctors and nurses, number of computed tomography
scanners, educational status and air pollution. Spearman Rho correlation
and partial correlation were used in the analysis of the data, and
generalized linear regression analysis was performed. Results:
A statistically significant relationship was found between case fatality
rates and the effectiveness of secondary health care (p<0,05).
The relationships between case fatality rates and other health,
demographic indicators are not statistically significant. In Generalized
Linear Model (GLM-Logit Model) analysis results, only the effectiveness
of secondary health care (p< 0,01) and the number of hospital
beds (p<0,05) were found to be statistically significant.
Conclusion: Satisfaction with quality health care is not
associated with COVID-19 fatality. As the effectiveness of secondary
health care increases, the fatality of COVID-19 decreases. The
effectiveness of primary health care has no effect on COVID-19 fatality.