Incidence and determinants of diabetic ketoacidosis among people with diabetes in Woldiya comprehensive specialized hospital, Ethiopia: a retrospective cohort study.

INTRODUCTION: Diabetic ketoacidosis is an acute complication of diabetes mellitus that is characterised by hyperglycemia, acidosis, and ketonuria. Diabetes is the most challenging public health problem in the twenty-first century for both developed and developing countries. OBJECTIVE: To assess the incidence of Diabetic ketoacidosis and its determinants among adult people with diabetes at an Ethiopian Hospital. METHOD: An institution-based retrospective cohort study was conducted among 390 adult people with diabetes attending services at Wolida Comprehensive Specialized Hospital. The consecutive sampling method was used to select study participant charts. Data were collected using a checklist prepared from different literature. The data were entered into EPI data version 4.6.0.5 and exported to STATA version 14.0 for further analysis. The Wiebull model was the best fitted model that was selected using the log-likelihood ratio method and the Akakian information criterion. Hazard ratios with their 95% confidence interval and p-value were computed. RESULT: From the total 405 charts reviewed, 390 adult charts were included for analysis. A total of 121 DKA occurred from 5471 person-months of observation. The overall incidence rate of diabetic ketoacidosis was found to be 2.2 per 100 person-months (95% CI: 1.8- 2.6). Being urban dweller (AHR: 0.59, 95% CI: 0.36-0.99), having no family history of DM (AHR: 0.55, 95%CI: 0.31-0.97), presence of infection (AHR: 2.60, 95%CI = 1.06-6.39), having of any comorbidities (AHR: 4.31, 95% CI: 1.70-10.90), and having poor glycemic control (AHR: 7.45, 95% CI: 3.84-14.47) were significant determinants. CONCLUSION AND RECOMMENDATIONS: The overall incidence of diabetic ketoacidosis in study area was relatively high. Poor glycemic control, the presence of infection, and comorbidity were determinants of diabetic ketoacidosis. There is a need to have close follow-up of people with diabetes who have comorbidity, infection, and poor glycemic control.

Time to recovery and its predictors among critically ill patients on mechanical ventilation from intensive care unit in Ethiopia: a retrospective follow up study.

INTRODUCTION: For critically ill patients, mechanical ventilation is considered a pillar of respiratory life support. The mortality of victims in intensive care units is high in resource-constrained Sub-Saharan African countries. The recovery and prognosis of mechanically ventilated victims are unknown, according to evidence. The goal of the study was to see how long critically ill patients on mechanical ventilation survived. METHODS: A retrospective follow-up study was conducted. A total of 376 study medical charts were reviewed. Data was collected through reviewing medical charts. Data was entered into Epi-data manager version 4.6.0.4 and analyzed through Stata version 16. Descriptive analysis was performed. Kaplan- Meier survival estimates and log rank tests were performed. Cox proportional hazard model was undertaken. RESULTS: Median recovery time was 15 days (IQR: 6-30) with a total recovery rate of 4.49 per 100 person-days. In cox proportional hazard regression, diagnosis category {AHR: 1.690, 95% CI: (1.150- 2.485)}, oxygen saturation {AHR: 1.600, 95% CI: (1.157- 2.211)}, presence of comorbidities {AHR: 1.774, 95% CI: (1.250-2.519)}, Glasgow coma scale {AHR: 2.451, 95% CI: (1.483- 4.051)}, and use of tracheostomy {AHR: 0.276, 95% CI: (0.180-0.422)} were statistically significant predictors. DISCUSSION: Based on the outcomes of this study, discussions with suggested possible reasons and its implications were provided. CONCLUSION AND RECOMMENDATIONS: Duration and recovery rate of patients on mechanical ventilation is less than expected of world health organization standard. Diagnosis category, oxygen saturation, comorbidities, Glasgow coma scale and use of tracheostomy were statistically significant predictors. Mechanical ventilation durations should be adjusted for chronic comorbidities, trauma, and use of tracheostomy.

Emergency and Disaster Handling Preparedness Among Front Line Health Service Providing Nurses and Associated Factors at Emergency Department, at Amhara Regional State Referral Hospitals, Ethiopia.

INTRODUCTION: Globally around 1.6 million individuals have died as a result of disasters per year. These disruptive events that happen in the world each day result in damage to individuals, families, and communities. METHODS: An institution-based cross-sectional study was conducted. All frontline health-care providers at the emergency departments of Amhara Regional State Referral Hospitals during the study period were considered as studied subjects. Data were collected through a self-administered technique. Once all essential data were collected, data were coded and entered into epidata manager (v4.6.0.2) statistical software. SPSS version 26 was used to analyze the findings of this paper. RESULTS: The result of this research study showed that 66.7% were males and 33.3% were females with mean age of respondents being 31.2 ± 5.8. Among respondents, 54% (52.9) % did not have an understanding of disaster preparedness. As a result, the majority of participants, 52 (51%), have inadequate knowledge. Most respondents have adequate attitude (57.8%) and only a few, 12 (11.8%), of respondents were very familiar with regard to disaster and disaster handling preparedness. In multivariate logistic regression, receiving training on the subject (P = 0.000, AOR: 15.109. 95% CI: 3.525-64.769), respondents receiving simulation in the subject of disaster (P = 0.015, AOR: 4.855, 95% CI: 1.366-17.260) and having a direct personal/professional experience of disaster (P = 0.003, AOR: 5.703, 95% CI: 1.825-17.823) were significantly associated. CONCLUSION AND RECOMMENDATION: Disaster handling preparedness, knowledge and familiarity levels were below those expected for emergency department nurses. Capacity building through training, education and simulation is essential.