Assessment of hospitalisation costs and their determinants among Covid-19 patients in South Central Ethiopia.

BACKGROUND: The coronavirus disease 2019 (Covid-19) pandemic is a global public health problem. The Covid-19 pandemic has had a substantial impact on the economy of developing countries, including Ethiopia.This study aimed to determine the hospitalisation costs of Covid-19 and the factors associated with the high cost of hospitalisation in South Central Ethiopia. METHODS: A retrospective cost analysis of Covid-19 patients hospitalised between July 2020 and July 2021 at Bokoji Hospital Covid-19 Treatment Centre was conducted using both the micro-costing and top-down approaches from the health system perspective. This analysis used cost data obtained from administrative reports, the financial reports of the treatment centre, procurement invoices and the Covid-19 standard treatment guidelines. The Student's t-test, Mann-Whitney U test or Kruskal-Wallis test was employed to test the difference between sociodemographic and clinical factors when appropriate.To identify the determinants of cost drivers in the study population, a generalised linear model with gamma distribution and log link with a stepwise algorithm were used. RESULTS: A total of 692 Covid-19 patients were included in the costing analysis. In this study, the mean cost of Covid-19-infected patients with no symptoms was US$1,073.86, with mild symptoms US$1,100.74, with moderate symptoms US$1,394.74 and in severe-critically ill condition US$1,708.05.The overall mean cost was US$1,382.50(95% CI: 1,360.60-1,404.40) per treated episode.The highest mean cost was observed for personnel, accounting for 64.0% of the overall cost. Older age, pre-existing diseases, advanced disease severity at admission, admission to the intensive care unit, prolonged stay on treatment and intranasal oxygen support were strongly associated with higher costs. CONCLUSIONS: This study found that the clinical management of Covid-19 patients incurred significant expenses to the health system. Factors such as older age, disease severity, presence of comorbidities, use of inhalation oxygen therapy and prolonged hospital stay were associated with higher hospitalisation costs.Therefore, the government should give priority to the elderly and those with comorbidities in the provision of vaccination to reduce the financial burden on health facilities and health systems in terms of resource utilisation.

Health-Related Quality of Life and Associated Factors Among Covid-19 Survivors. Experience from Ethiopian Treatment Centers.

Background: The pandemic of the novel coronavirus (Covid-19), which is extremely stressful and has an adverse effect on people's health-related quality of life (HRQoL), poses a serious threat to global public health. As a result, this study evaluated the health-related quality of life and associated factors among Covid-19 patients who were discharged from Ethiopian treatment centers. Methods: We conducted a multi-center, cross-sectional study among 493 Covid-19 survivors who had been discharged from treatment centers between 1st January 2020, and 20th October 2021. We collected respondents' data using validated Amharic version EuroQol 5-dimensional-5 levels (EQ-5D-5L) questionnaire along with medical records of the patients. Differences in HRQOL scores between patient subgroups were tested by Mann-Whitney U or Kruskal-Wallis test, and the multivariable betaMix regression was used to investigate factors associated with HRQOL scores. Results: The EQ-5D and VAS median score for Covid-19 survivors was 0.940 (IQR: 0.783-0.966) and 87 (IQR: 70-91) respectively. Overall, married individuals, old-aged, individuals who had low educational status, high monthly income, comorbidities, admitted to the Intensive care Unit, received intranasal oxygen care, and prolonged hospitalization had lower utility scores and EQ-VAS scores compared to their counterparts. In multivariate betaMix regression, respondents' health status at admission, old age, chronic obstructive pulmonary disease, asthma, and hospital length of stay were significantly associated with the lower EQ-5D-Index value and EQ-VAS score. Conclusion: We found that Covid-19 infection had a persisting impact on the physical and psychosocial health of Covid-19 survivors. Age, having asthma and chronic obstructive pulmonary disease, having a worsening health state upon admission, and a prolonged hospital length of stay were significantly associated with the lower EQ-5D and EQ-VAS score. Therefore, the cost-effective psychological treatment such as cognitive behaviour therapy should be encouraged after hospitalization to improve the post-Covid-19 depression and fatigue.

Survival analysis of COVID-19 patients in Ethiopia: A hospital-based study.

BACKGROUND: COVID-19 is a global public health problem causing high mortality worldwide. This study aimed to assess time to death and predictors of mortality among patients hospitalized for COVID-19 in the Arsi zone treatment center. METHOD: We performed a retrospective observational cohort study using medical records of laboratory-confirmed COVID-19 cases hospitalized at Bokoji Hospital COVID-19 treatment center from 1st July 2020 to 5th March 2021. We extracted data on the patients' sociodemographic and clinical characteristics from medical records of hospitalized patients retrospectively. We carried out Kaplan Meier and Cox regression analysis to estimate survival probability and investigate predictors of COVID-19 death 5% level of significance. The Adjusted Hazard Ratio (aHR) with 95% Confidence Interval (CI) was estimated and interpreted for predictors of time to death in the final cox model. RESULT: A total of 422 COVID-19 patients treated were analyzed, of these more than one tenth (11.14%) deaths, with a mortality rate of 6.35 cases per 1000 person-days. The majority (87.2%) of deaths occurred within the first 14 days of admission, with a median time-to-death of nine (IQR: 8-12) days. We found patients that age between 31 and 45 years (aHR = 2.55; 95% CI: (1.03, 6.34), older than 46 years (aHR = 2.59 (1.27, 5.30), chronic obstructive pulmonary disease (aHR = 4.60, 95%CI: (2.37, 8.91), Chronic kidney disease (aHR = 5.58, 95%CI: (1.70, 18.37), HIV/AIDS (aHR = 3.66, 95%CI: (1.20, 11.10), admission to the Intensive care unit(aHR = 7.44, 95%CI: (1.82, 30.42), and being on intranasal oxygen care (aHR = 6.27, 95%CI: (2.75, 4.30) were independent risk factors increasing risk of death from COVID-19 disease than their counterparts. CONCLUSION: The risk of dying due to COVID-19 disease was higher among patients with HIV/AIDS, chronic obstructive pulmonary disease, and chronic kidney diseases. We also found that older people, those admitted to ICU, and patients who received intranasal oxygen care had a higher risk of dying due to COVID-19 disease. Therefore, close monitoring hospitalized patients that are old aged and those with comorbidities after hospitalization is crucial within the first ten days of admission.

Factors Associated with Poor Treatment Outcome among Hospitalized COVID-19 Patients in South Central, Ethiopia.

BACKGROUND: Deaths due to COVID-19 are common among the elderly, especially among individuals with underlying illnesses. The pandemic of the COVID-19 impaired the mental, psychological, and physical well-being of people admitted to hospitals. Furthermore, in underdeveloped countries, scarcity of medical equipment was a challenge to manage cases in public health facilities. Thus, understanding the epidemiology and clinical outcomes of COVID-19 patients who are receiving treatment is critical for developing effective treatments and assessing service quality. Therefore, this study is aimed at assessing the treatment outcomes and associated factors among patients affected by the COVID-19 virus. METHOD: We used an institutional-based retrospective cross-sectional analysis of 398 patients discharged in South Central, Ethiopia, between June 1, 2020, and July 5, 2021. Data were extracted using the data abstraction format. Data were entered, coded, and analyzed using the STATA 16 software. Bivariate and multivariate logistic regression analysis was used to assess the factors associated with poor treatment outcomes. A 95% confidence interval with adjusted odds ratio (AOR) and p value less than 0.05 were considered statistically significant. RESULT: In our study, the proportion of poor treatment outcomes was 61 (15.3%). Chronic pulmonary disease (AOR = 5.62; 95% CI: 2.49-12.70), asthma (AOR = 2.8; 95% CI: 1.17-6.67), chronic kidney disease (AOR = 4.81; 95% CI: 1.27-18.22),diabetic mellitus (AOR = 2.27; 95% CI: 1.02-5.09), HIV positive (AOR = 10.44; 95% CI: 3.0-36.35), worsening conditions (AOR = 3.73, 95% CI: 1.17-11.95), and age 55 and above years (AOR = 4.35, 95% CI: 1.30-14.60) were statistically associated with poor treatment outcomes. CONCLUSION: We found a significant number of patients had favourable treatment. Moreover, aging, having complicated situations at admission, and chronic illnesses such as COPD, CKD, asthma, diabetic mellitus, and HIV/AIDS participants were significantly associated with poor treatment outcomes. Therefore, critical follow-up and management of patients with underlying diseases and worsening health conditions during admission is required.

Time to recovery from Covid-19 and its associated factors among patients hospitalized to the treatment center in South Central Ethiopia.

Coronavirus outbreak was a public health emergency. The surge of new confirmed cases and deaths was observed in developing countries due to the occurrence of new variants. However, factors associated with the duration of recovery among admitted patients remained uncertain. Therefore, we assessed factors associated with time to recovery from Covid-19 among hospitalized patients at the treatment center in South Central, Ethiopia. We employed a retrospective cross-sectional study among 422 patients hospitalized at Bokoji Hospital treatment center with Covid-19 from July 1, 2020, through October 30, 2021. Data were entered, coded, and analyzed using SPSS 26 version. We computed the survival probability using the Kaplan Meier method and determined factors associated with time to recovery using Cox regression analysis. Finally, the interpretation of adjusted hazard ratio (AHR) with 95% Confidence Interval (CI) and P-values less than 0.05 were declared as statistically significant. Our study found that the median time to recovery from Covid-19 infection of 13 days, with an IQR of 9-17 days. In multivariate Cox regression, ≥ 60 years old (AHR = 0.66; 95% CI: 0.49, 0.895), chronic pulmonary disease (AHR = 0.67; 95% CI: 0.455, 0.978), Male (AHR = 0.77; 95% CI: 0.611, 0.979), and being on Intranasal oxygen care (AHR = 0.56; 95% CI: 0.427-0.717) were significantly associated with time to recovery. Thus, health providers in treatment centers should give strict follow-up and priority for elders, patients with underlying diseases, and under supportive treatment during case management.

Evaluation of health-related quality of life of Covid-19 patients: a hospital-based study in South Central Ethiopia.

BACKGROUND: Covid-19 causes a wide range of symptoms in patients, ranging from mild manifestations to severe disease and death. This study assessed the health-related quality of life (HRQOL) and associated factors of Covid-19 patients using primary data from confirmed cases in South Central Ethiopia. METHODS: We employed a facility-based, cross-sectional study design and conducted the study at the Bokoji Hospital Covid-19 treatment centre. A structured questionnaire and the EQ-5D-3L scale were used to collect the data for analysis. The HRQOL results measured by the EQ-5D-3L tool were converted to a health state utility (HSU) using the Zimbabwe tariff. The average health utility index and HSU-visual analogue scale across diverse sociodemographic and clinical characteristics were compared using the Mann-Whitney U test or Kruskal-Wallis test. We employed a multiple linear regression to examine factors associated with HSU values simultaneously. The data were analysed using STATA version 15. RESULTS: The overall mean HSU score from the EQ-5D was 0.688 (SD: 0.285), and the median was 0.787 (IQR 0.596, 0.833). The mean HSU from the visual analogue scale score was 0.69 (SD: 0.129), with a median of 0.70 (IQR 0.60, 0.80). Those who received dexamethasone and intranasal oxygen supplement, those with comorbidity, those older than 55 years and those with a hospital stay of more than 15 days had significantly lower HSU scores than their counterparts (p < .001). CONCLUSION: Covid-19 substantially impaired the HRQOL of patients in Ethiopia, especially among elderly patients and those with comorbidity. Therefore, clinical follow-up and psychological treatment should be encouraged for these groups. Moreover, the health utility values from this study can be used to evaluate quality adjusted life years for future cost-effectiveness analyses of prevention and treatment interventions against Covid-19.