Adherence to Infection Prevention Practice Standard Protocol and Associated Factors Among Healthcare Workers

Introduction

Healthcare-associated infection affects more than 100 million patients annually. Healthcare workers' poor adherence to standard infection prevention and control procedures can result in many negative consequences, ranging from disability to death.

Methods

A facility-based, cross-sectional study was conducted in June 2021 among 379 healthcare workers selected using a stratified random sampling technique. All types of healthcare providers except pharmacy professionals were included in the study. Standardization and validation of the study tool were performed ahead of data collection. Multivariable regression was used to assess the variables associated with adherence.

Results

The study found that 60.2% of healthcare workers (95% CI, 55.1-65.2) had good adherence to infection prevention practices, and 68.7% and good knowledge of infection prevention practices. Training on infection prevention methods (adjusted odds ratio [AOR] = 1.68; 95% CI, 1.04-2.72), availability of water supply at hand washing station (AOR = 2.90; 95% CI, 1.62-5.31), and attitude toward infection prevention (AOR = 2.64; 95% CI, 1.65-4.24) were identified as predictors of adherence to infection prevention and control procedures.

Conclusion

More than half of the participants had good adherence to infection prevention guideline practices. In-service infection prevention training, a consistent water supply at the hand washing station, and a positive attitude of participants were associated with good adherence to infection prevention practices.

Incidence and Predictors of Cardiac Arrest Among Patients Admitted to the Intensive Care Units of a Comprehensive Specialized Hospital in Central Ethiopia

Background

Cardiac arrest (CA) is a common public health problem. Worldwide, cardiac arrest ranks highly among hospitalised patients' public health concerns, particularly in low-income nations. Data on cardiac arrest in intensive care units in low-income countries are relatively scarce. Determining the incidence and predictors of cardiac arrest among ICU patients will be a very crucial and fruitful clinical practice in resource-limited areas like Ethiopia.

Methods

A retrospective cohort study was conducted by reviewing charts of 422 systematically selected patients admitted to the ICU from 2018 to 2022 in Wachemo University Comprehensive Specialized Hospital. The extraction tool was used for the data collection, Epi-data version 4.6.0 for data entry, and STATA version 14 for data cleaning and analysis. Kaplan-Meier, log rank test, and life table were used to describe the data. The Cox proportional hazard regression model was used for analysis.

Results

The findings of this study revealed that the overall occurrence of cardiac arrest among critically ill ICU patients was 27% (95% CI: 23, 32). The incidence density rate of cardiac arrest among intensive care unit patients was 19.6 per 1000 person-days of observation. In a multivariable analysis, patients with chronic kidney disease, oxygen saturation <90%, delirium, intubation, and patients admitted to the ICU with cardiovascular disease were found to be independent predictors of cardiac arrest in the Intensive Care Unit.

Conclusion

The incidence density rate of cardiac arrest among intensive care unit patients was high. This study also revealed that chronic kidney disease, delirium, intubation, oxygen saturation level below 90% and patients admitted with cardiovascular disease were independent predictors of the occurrence of cardiac arrest among intensive care unit patients. Finally, we recommend that clinician pays attention to those identified as preventable risk factors for early interventions to improve the recovery process of patients in the ICU.

New Onset of Diabetes Mellitus and Associated Factors among COVID-19 Patients in COVID-19 Care Centers, Addis Ababa, Ethiopia 2022

INTRODUCTION

New onset of diabetes mellitus was noted as the commonest comorbidity in the COVID-19 pandemic, which contributed to a worse prognosis. Existing evidence showed that new-onset diabetes is associated with increased mortality compared to nondiabetic and known diabetic patients in the COVID-19 era. SARS-CoV-2 virus can worsen existing diabetes; at the same time, it can trigger new-onset diabetes that eventually worsens patient outcomes. Thus, this study is aimed at determining the prevalence and factors associated with new onset of diabetes mellitus among COVID-19 patients.

METHODS

Institution-based retrospective cross-sectional study design was conducted by reviewing 244 patient's records in the Addis Ababa COVID-19 care center. Descriptive statistics and binary logistic regression were used. During bivariate analysis, variables with p ≤ 0.25 were transferred into multivariate analysis. Adjusted odds ratios to determine the strength and presence of the association with a 95% confidence interval and p value ≤ 0.05 were considered, respectively.

RESULTS

The mean age of the study participants was 53.2 years with (SD = 13.35). The study findings showed that 31.1% (CI: 25.4-37.4) of COVID-19 patients had new onset of diabetes mellitus; of those, 11.8% had type 1 and 88.2% had type 2 diabetes. Being male (aOR = 2.9; 95% CI: 1.2, 7.1), family history of hypertension (aOR = 3.7; 95% CI: 1.3, 10.5), obesity (aOR = 3.1; 95% CI: 1.01, 8.9), having pulmonary embolism (aOR = 0.2; 95% CI: 0.06, 0.04), and hyperkalemia (aOR = 9.3; 95% CI: 1.8, 47.3) showed statistically significant association with new onset of diabetes mellitus.

CONCLUSION

A significant proportion of COVID-19 patients had been diagnosed with new onset of diabetes mellitus, and new-onset type 2 diabetes mellitus is the most common diabetes mellitus type. Being male, obesity, having a pulmonary embolism, family history of hypertension, and hyperkalemia were independently associated with new onset of diabetes mellitus among COVID-19 patients. Therefore, focused interventions need to be strengthened towards the identified factors.