ArticleHeliyon2024
Time to recovery and determinant factors of COVID-19 patients under treatment in Sidama region, Ethiopia: A retrospective cohort study.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Incidence of recovery rate and predictors among hospitalized COVID- 19 infected patients in Ethiopia; a systemic review and meta-analysis.BMC public health · 2025Pooled it
- COVID-19 mortality rate and its determinants in Ethiopia: a systematic review and meta-analysis.Frontiers in medicine · 2024Pooled it
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Evidence from several studies shows that the median recovery time among COVID-19 patients varies in different settings, and why that difference occurs is questionable. The current study was aimed to estimate the time to recovery and to identify determinant factors among COVID-19 patients admitted to treatment centers in the Sidama region, Ethiopia. Methods: The secondary data was extracted from the Sidama Public Health Institute (SPHI), data management unit. A total of 1038 COVID-19 patients who were under treatment from 1, June 2020, to 30, June 2022, at different treatment centers in the region were included in the study. The Log-Logistic Accelerated Failure Time (AFT) model was employed to estimate the effects size of different covariates on recovery time of COVID-19 patients under treatment. Results: Among the total number of patients in the study, 704 (67.82 %) were recovered, while 334(32.18 %) were censored. The median recovery time was 14 days (IQR: 10-18 days). Patients who were above 65 years old had nearly 1.17 times more prolonged recovery time as compared to patients who were below 25 years old, (OR = 1.168, p-value = 0.032, CI = 0.013,0.298). The log odds of recovery for patients who were in critical severity status at admission was 1.279 times more decelerated as compared to asymptomatic patients (P-value = 0.005, CI = 0.076, 0.417). The log odds of recovery for patients who had no history of headache was 1.107 times more accelerated as compared to patients who had a history of headache (OR = 1.107, p-value = 0.027, CI = 0.011, 0.192). The log odds of recovery for non-diabetic patients was 1.244 times more accelerated as compared to patients who were diabetic (OR = 1,244, p-value = 0.002, CI = 0.077, 0.360), holding other covariates constant in the model. Conclusion: Age, critical severity status of infection, having symptoms of infection, having a history of headaches, and being diabetic had statistically significant effects on time to recovery among COVID-19 patients admitted to the treatment centers in the Sidama region.
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