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Background: Tuberculosis (TB) is a significant public health disease and a major contributor to illness and death worldwide, including in Ethiopia. There are many information from first source which had inconclusive result in Ethiopia. Therefore, this review aimed to produce pooled evidence on the TB treatment delay and factors associated with it. Methods: The absence of a similar study with a systematic review and meta-analysis was confirmed. Articles from online available and unpublished sources conducted within Ethiopia between 2002 and 2024, were thoroughly screened using electronic sources such as Medline, Embase, Hinari, PubMed, the Cochrane Library, the Web of Science, and Google Scholar. Data analysis was performed using STATA version 14. Heterogeneity was assessed using Inverse of Variance (I2) and Cochrane Q tests. The funnel plot was employed to rule existence of publications subjectively while bias was checked using Egger's statistical method to quantify the bias. Result: Prevalence of TB treatment delay in Ethiopia was 50.42% at 95% (43.21, 57.64). Factors such as knowledge about TB, distance to health facilities less than 10 km, initial contact at a government service providing center for TB, having some educations, having pulmonary Tuberculosis, urban residency, were prtotective towards treatment delay. Female in gender, no chest pain symptom, disease severity with no restriction on daily activity, alcohol drinkers, and unmarried respondents were at higher risk to miss on time tuberculosis treatment. Conclusion and recommendation: The tuberculosis treatment delay in Ethiopia was considerably unexpected and basic personal variables and facility related variables were statistically associated with treatment. Therefore, Ethiopian TB control programs have to recognize and tackle the problem, obstacles, and vulnerability across the continuum patient care taking down and connecting to treatment post-diagnosis. This can be achieved by capacitating both government and non-governmental service provision centers and minimizing unfilled difference across professional awareness and skill, which will contribute further to minimizing delay.
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BACKGROUND: The coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2) and became pandemic after emerging in Wuhan, China, in December 2019. Several studies have been conducted to understand the key features of COVID-19 and its public health impact. However, the prognostic factors of COVID-19 are not well studied in the African setting. In this study, we aim to determine the epidemiological and clinical features of COVID-19 cases, immunological and virological courses, interaction with nutritional status, and response to treatment for COVID-19 patients in Ethiopia. METHODS: A multi-center cohort study design will be performed. Patients with confirmed COVID-19 infection admitted to selected treatment centers will be enrolled irrespective of their symptoms and followed-up for 12 months. Baseline epidemiological, clinical, laboratory and imaging data will be collected from treatment records, interviews, physical measurements, and biological samples. Follow-up data collection involves treatment and prognostic outcomes to be measured using different biomarkers and clinical parameters. Data collection will be done electronically using the Open Data Kit (ODK) software package and then exported to STATA/SPSS for analysis. Both descriptive and multivariable analyses will be performed to assess the independent determinants of the treatment outcome and prognosis to generate relevant information for informed prevention and case management. The primary outcomes of this study are death/survival and viral shedding. Secondary outcomes include epidemiological characteristics, clinical features, genetic frequency shifts (genotypic variations), and nutritional status. DISCUSSION: This is the first large prospective cohort study of patients in hospitals with COVID-19 in Ethiopia. The results will enable us to better understand the epidemiology of SARS-CoV-2 in Africa. This study will also provide useful information for effective public health measures and future pandemic preparedness and in response to outbreaks. It will also support policymakers in managing the epidemic based on scientific evidence. TRIAL REGISTRATION: The Protocol prospectively registered in ClinicalTrials.gov (NCT04584424) on 30 October, 2020.
Subject(s)
COVID-19 , Cohort Studies , Ethiopia/epidemiology , Humans , Multicenter Studies as Topic , Prognosis , Prospective Studies , SARS-CoV-2 , Treatment OutcomeABSTRACT
Background: Understanding the clinical features of COVID-19 and duration for resolution of symptoms is crucial for isolation of patients and tailoring public health messaging, interventions and policy. Therefore, this study aims to assess the median duration of COVID-19 signs and symptoms' resolution and explore its predictors among symptomatic COVID-19 patients in Ethiopia. Methods: A hospital-based prospective cohort study involving 124 COVID-19 cases was conducted at Eka Kotebe General Hospital, COVID-19 Isolation and Treatment Center. The study participants were all symptomatic COVID-19 adult patients admitted to the hospital from 18 March to 20 August 2020. Physicians at the centre recorded the data using a log sheet. Cox proportional-hazards regression model was conducted. Statistical significance was defined at P < 0.05. Results: A total of 124 symptomatic COVID-19 patients with a mean age of 42 years (±17) were involved in the study. The median duration of symptom resolution of COVID-19 was seven days with a minimum of two and a maximum of sixty-eight days. Sex and body mass index (BMI) were statistically significant predictors of the symptom resolution. The hazard of having delayed sign or symptom resolution in males was 55% higher than in females (P = 0.039; CI: 0.22-0.96) and the hazard of delayed sign or symptom resolution in those with BMI ≥ 25 kg/m2 was 35% higher than in those with BMI < 25 kg/m2 (P = 0.041; CI: 0.44-0.98]). Conclusions: The median duration of COVID-19 symptom resolution was seven days. Being male and/or having a BMI ≥ 25 kg/m2 were predictors of a delayed sign or symptom resolution time. Therefore, it is important to consider proportion of males and those with BMI ≥ 25 kg/m2 when preparing isolation and treatment centres. Males and individuals with BMI ≥ 25 kg/m2 shall also be given priority when shielding from the COVID-19.
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BACKGROUND: Various factors may determine the duration of viral shedding (the time from infection to viral RNA-negative conversion or recovery) in COVID-19 patients. Understanding the average duration of recovery and its predictors is crucial in formulating preventive measures and optimizing treatment options. Therefore, evidence showing the duration of recovery from COVID-19 in different contexts and settings is necessary for tailoring appropriate treatment and prevention measures. This study aimed to investigate the average duration and the predictors of recovery from Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection among COVID-19 patients. METHOD: A hospital-based prospective cohort study was conducted at Eka Kotebe General Hospital, COVID-19 Isolation and Treatment Center from March 18 to June 27, 2020. The Center was the first hospital designated to manage COVID-19 cases in Ethiopia. The study participants were all COVID-19 adult patients who were admitted to the center during the study period. Follow up was done for the participants from the first date of diagnosis to the date of recovery (negative Real-time Reverse Transcriptase Polymerase Chain Reaction (rRT-PCT) test of throat swab). RESULT: A total of 306 COVID-19 cases were followed up to observe the duration of viral clearance by rRT-PCR. Participants' mean age was 34 years (18-84 years) and 69% were male. The median duration of viral clearance from each participant's body was 19 days, but the range was wide: 2 to 71 days. Cough followed by headache was the leading sign of illness among the 67 symptomatic COVID-19 patients; and nearly half of those with comorbidities were known cancer and HIV/AIDS patients on clinical follow up. The median duration of recovery from COVID-19 was different for those with and without previous medical conditions or comorbidities. The rate of recovery from SARS-CoV-2 infection was 36% higher in males than in females (p = 0.043, CI: 1.01, 1.85). The rate of recovery was 93% higher in those with at least one comorbidity than in those without any comorbidity. The risk of delayed recovery was not influenced by blood type, BMI and presence of signs or symptoms. The findings showed that study participants without comorbidities recovered more quickly than those with at least one comorbidity. Therefore, isolation and treatment centers should be prepared to manage the delayed stay of patients having comorbidity.