Dataset Information

Time to recovery from COVID-19 and its predictors among patients admitted to treatment center of Wollega University Referral Hospital (WURH), Western Ethiopia: Survival analysis of retrospective cohort study.

ABSTRACT:

Introduction

Despite its alarming spread throughout the world, no effective drug and vaccine is discovered for COVID-19 so far. According to WHO, the recovery time from COVID-19 was estimated to be 2 weeks for patients with mild infection, and 3 to 6 weeks for those with serious illnesses. A studies regarding the median recovery time and its predictors are limited globally and specifically in Ethiopia. Therefore, the aim of this study was to estimate the median time to recovery from COVID-19 and its predictors among COVID-19 cases admitted to WURH, Western Ethiopian.

Methods

This was a hospital-based retrospective cohort study conducted among 263 adult patients admitted with COVID-19 in WURH treatment center from March 29, 2020 through September 30, 2020. Epidata version 3.2 was used for data entry, and STATA version 14 for analysis. A Cox proportional hazard regression model was fitted to determine factors associated with recovery time. A variable with P-value ≤ 0.25 at bivariable Cox regression analysis were selected for multivariable Cox proportional model. Multivariable Cox regression model with 95% CI and Adjusted Hazard Ratio (AHR) was used to identify a significant predictor of time to recovery from COVID-19 at P-value < 0.05.

Results

The mean age of patient was 36.8 (SD± 10.68) years. At the end of follow up, two hundred twenty seven observations were developed an event (recovered) with median time to recovery of 18 days with IQR of 10-27 days. The overall incidence rate of recovery was of 4.38 per 100 (95% CI: 3.84, 4.99) person-days observations. Being older age (AHR = 1.59, 95% CI: 1.02, 2.49), presence of fever on admission (AHR = 1.78, 95% CI: 1.21, 2.62), and comorbidity (AHR = 0.56, 95% CI, 0.34, 0.90) were found to have statistically significant association with recovery time.

Conclusion and recommendations

In general, the median recovery time of patients with COVID-19 cases was long, and factors such as older age group, presence of fever, and comorbidity was an independent predictors of delayed recovery from COVID-19. Intervention to further reduce recovery time at treatment center has to focus on patients those shows symptoms and with comorbidities.

SUBMITTER: Tolossa T

PROVIDER: S-EPMC8191892 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:IntroductionDrug-related problems can affect the treatment outcomes of hospitalized patients and outpatients that lead to morbidity and mortality. Despite this, there were scanty of studies among patients with infectious diseases in Ethiopia. As the result, this study was tried to assess the magnitude and determinants of drug therapy problems among infectious disease patients admitted to the medical wards of Wollega University Referral Hospital.MethodsA prospective observational study was conducted from May to August 2019. The prevalence and types of drug- related therapy problems were studied using the Pharmaceutical Care Network Europe Foundation classification system, and adverse drug reaction was assessed by using the Naranjo algorithm. Multivariable logistic regression analysis was used to determine the predictors of drug-related problems, and a significant association was declared if p-value < 0.05.ResultOf the 172 study participants, 106 (61.6%) were males, and the patient's mean age was 39.1 ± 14.31 years. Over the study period, 123 (71.51%) patients had drug-related problems. Need for additional drug therapy was the widely occurred drug-related problem that accounts for 107 (22.77%), and the most common drug-associated with the drug therapy problem was ceftriaxone (77 (44.77%)). This inappropriate use of ceftriaxone might be due to the preference of physicians to prescribe this broad spectrum antibiotic in which it was prescribed for the majority of the infectious disease etiology. Polypharmacy (adjusted odds ratio (AOR) = 2.505, 95% confidence interval (CI): 1.863-11.131), length of hospital stay ⩾ 7 days (AOR = 4.396, 95% CI: 1.964-7.310), and presence of co-morbidity (AOR = 2.107, 95% CI: 1.185-4.158, p = 0.016) were determinants of drug-related problems.ConclusionThe magnitude of drug-related problems was found to be high. Hence, the clinical pharmacy service should be established to tackle inappropriate indications, ineffective drug therapy, and adverse drug events in the study area.

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