research topic “Analysis of the impact of COVID-19 to the public health system to strengthen the response to the epidemic and the sustainability of the universal health insurance system in Thailand.”
Assoc. Prof. Dr. Wanrudee Isaranuwatchai Head of the Health Technology and Policy Assessment Program (HITAP) and researchers conducted a research study on the topic “Analysis of the impact of COVID-19 to the public health system to strengthen the response to the epidemic and the sustainability of the universal health insurance system in Thailand.” หรือ Understanding the impact of COVID-19 to improve our health care system response : Turning crisis into opportunities
such research This is a secondary descriptive analysis using data from COVID-19 patients. obtained from the e-Claim database of the National Health Security Office (NHSO) from January 2020 to July 2021, with at least 3 months of monitoring until October. 2021
For interesting findings from this research is If considering the number of times It was found that 4,089 COVID-19 cases came to hospitals in 2020, while in 2021 it rose to 280,793.
It also found that the average number of sleep days was 11 days and the average cost was 404,453 baht.
Upon further study, it was found that Up to 63% of these patients had no history of hospitalization in the four years before contracting COVID-19, while 37% had at least one hospitalization. After contracting COVID-19 (with follow-up approximately three months later), 76% had no further hospital stays, while 24% had at least one hospital stay.
more than that The research also answered the question: What do we learn from studying a single covid-19 patient versus a multiple? It found that the average age of patients with a single case of COVID-19 was 35 years, while the average age of patients with multiple COVID-19 cases was 44 years. More males have contracted COVID-19 than females.
However, in the end, the researchers reiterated that this analysis was only a descriptive analysis. This analysis was done to illustrate that How can real-world data be used to study COVID-19 as the more we know about the disease? We are better prepared to cope both now and in the future.
The researchers also tried to study the possible variables that contribute to the development of COVID-19. more than once or variables that make certain groups of people more likely to have symptoms of COVID-19 These variables are older and co-morbidity (Which is reasonable) at this time, more information is needed before any conclusions can be drawn.