Times Period of Treatment of COVID -19 Patient in Rayong Hospitals, Thailand
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Abstract
Retrospective Cohort Study estimates length of hospital stay, and factors related to COVID-19 treatment (Discharge free survival) of COVID-19 patients in Rayong Province, from data on infected and those who have been in contact with COVID-19 recorded on a computer with RT-PCR test results. The results are detected between December 1, 2019 to January 31, 2021, there were 404 infected and 174 contacts with COVID-19. Kaplan-Meier analysis was used to estimate length of stay and Log rank test to test the differences between the graphs. with time of stay for treatment, Cox’s Regression with Hazard ratio, factors related to patient discharge, Cox proportional hazard model, interpreting results and comparing according to variables. The results were different from the time of discharge, with p-value < 0.05. Kaplan-Meier results, median survival time, treatment stay was 15.97 days (95% CI =16.87 - 19.12). The main symptom was cough. Interpret Log rank test results patient, PUI (Patients Under Investigation) and CC (Contact Cases) hospital stay (Rayong hospital, field hospital, other government hospitals and Private hospitals) and residences (Muang district, Rayong and other districts) were related to length of stay (p< 0.0001, p<0.0001 and p<0.0001 respectively). Multivariate analysis: men has a chance of being discharged quickly 1.21 times more than women (adj HR=1.21, 95% CI =1.02 - 1.43, p=0.027). Patients infected with PUI have a chance of being discharged 1.64 times quickly than Patients infected with CC (adj HR= 1.64, 95% CI =1.36 - 1.98, p<0.0001). Living in Mueang Rayong district has a chance of being discharged quickly 0.66 times higher than other districts (adj HR=0.66, 95% CI= 054 - 0.79, p<0.0001) and stay in other government hospitals and private hospitals have a chance of being discharged later than Rayong hospitals and field hospitals 0.66 times (adj HR=0.66, 95% CI 0.47 - 0.92, p<0.0150) and 0.63 times (adj HR=163, 95% CI= 0.43 - 0.90, p=0.0130), respectively. The results of the study support treatment planning and prevention of the spread of infection in hospitals and communities.
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