Time to Recovery and its Predictors Among Adults Hospitalized with COVID-19 in COVID- 19 Isolation and Treatment Center, Addis Ababa, Ethiopia, 2023
| dc.contributor.advisor | MulugetaTefera Adimasu Mekonen | |
| dc.contributor.author | Balcha Worku | |
| dc.date.accessioned | 2023-12-09T10:44:39Z | |
| dc.date.available | 2023-12-09T10:44:39Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Background: The duration of viral shedding in COVID-19 patients may be influenced by anumber of variables. In order to create preventive strategies and enhance treatment possibilities, it is crucial to understand the typical duration of recovery and its predictors.Despite the available interventions to tackle COVID 19, there is little information on time to recovery and its predictors among adult COVID 19 in Ethiopia. Objective: The purpose of this study was to assess time to recovery and its predictors among adults hospitalized with COVID -19 in COVID -19 Isolation and Treatment Center, Addis Ababa, Ethiopia, 2023. Methods: A quantitative institutional-based retrospective cohort study was conducted among adult patients admitted with COVID-19 from March 18, 2020 up to March 18, 2022G.C. in Addis Ababa, Ethiopia. A total sample size of 295 were proportionally allocated to each selected hospital and systematic random sampling method was used. Epidata version 4.6 was used for data entry, and STATA version 14 for analysis. A Kaplan–Meier curve was used to estimate survival time and the Cox regression model was fitted to identify independent predictors. Results: The majority of the age group 108(36.61%) was lie between 26-44 years old. At the end of follow up, 265 observations were developed an event (recovered) with median time to recovery of 14 days with IQR of 11-22 days. Being older age (aHR = 0.54, 95% CI;0.35,0.84), presence of comorbidity(aHR = 0. 66, 95% CI; 0.45 ,0.97), presence of symptom (aHR= 0.56,95% CI;0.42,0.73), ≤ 93% O2 saturation (aHR= 0.52, 95%CI; 0.38,0.70), case severity (aHR=0.03, 95%CI; 0.02,0.04), ICU admission (aHR=0.27, 95% CI; 0.19, 0.36)and oxygen use (aHR=0.48, 95%CI; 0.34, 0.67) were found to have statistically significantassociation with delayed recovery time. Conclusion and recommendations: In general, this study found a relatively short median recovery time to the local finding. Older age, comorbidity, symptom presence, < 93% O2saturation, severe stage of Covid-19, ICU admission and use of oxygen therapy were allsignificant predictors of delayed recovery time. The findings highlight the importance of giving a priority, attention and monitoring of COVID-19 patients with these elements. | |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/488 | |
| dc.language.iso | en_US | |
| dc.publisher | Addis Ababa University | |
| dc.title | Time to Recovery and its Predictors Among Adults Hospitalized with COVID-19 in COVID- 19 Isolation and Treatment Center, Addis Ababa, Ethiopia, 2023 | |
| dc.type | Thesis |