Promoting Teaching Practices in IT Higher Education

© 2020 Owner/Author. Lecture-based classes became an old strategy of teaching even in higher education. Education now focuses on student-centered strategies that actively engage students in their learning and how teacher can design classes to facilitate learning process. This paper presents some practices for teaching in higher education

Emergency Department Pediatric Unscheduled Return Visits: Why do patients return and does it matter?

Introduction: Unscheduled return visits are an important quality indicator in the emergency department. We aim to compare clinical characteristics and ED resource usage of pediatric high risk unscheduled return visits (HRURVs) between the index and return visit and explore root cause of HRURVs.Methods: A retrospective chart-review study conducted between November 1, 2014 and October 31, 2015. All patients who returned to the ED within 72 hours of discharge and were admitted or died on re-presentation were considered.Results: The incidence rate of HRURV in our study was 0.96% (95%, CI:0.81-1.13%). We found that significantly more patients were febrile on index visit than on the return visit. In contrast, HRURV patients had significantly more imaging, labs, IV fluids, ED consults and procedures on return visit. Also, the return visit length of stay (LOS) was significantly higher than on index visit (2.76±1.82 Vs. 5.88±0.44). Upon revisit, 2.2% of patients required ICU admission and 7.9% required surgery. The most common discharge diagnosis were digestive system disorders (29.5%) and infectious/parasitic diseases (27.3%). Only infectious/parasitic disease showed a high number of changes in diagnosis from first to second visit. The majority (73.4%) of HRURVs were classified as being “illness-related”. Digestive disorders accounted for the largest portion of “physician related” reasons for revisit (41%).Conclusion: HRURV patients require more resources on return visits and have longer ED stays than the index visit. While the majority of re-visits do not lead to a change in diagnosis and are primarily related to progression of disease, specific attention should be paid to digestive disorders where physician related causes were high and which account for 18% of surgeries on return visit.&nbsp

Characteristics and determinants of high-risk unscheduled return visits to the emergency department.

BACKGROUND:High-risk unscheduled return visits (HRURVs), defined as return visits within 72 hours that require admission or die in the emergency department (ED) on representation, are a key quality metric in the ED. The objective of this study was to determine the incidence and describe the characteristics and predictors of HRURVs to the ED. METHODS:Case-control study, conducted between 1 November 2014 and 31 October 2015. Cases included all HRURVs over the age of 18 that presented to the ED. Controls were selected from patients who were discharged from the ED during the study period and did not return in the next 72 hours. Controls were matched to cases based on gender, age (±5 years) and date of presentation. RESULTS:Out of 38 886 ED visits during the study period, 271 are HRURVs, giving an incidence of HRURV of 0.70% (95% CI 0.62% to 0.78%). Our final analysis includes 270 HRURV cases and 270 controls, with an in-ED mortality rate of 0.7%, intensive care unit admission of 11.1% and need for surgical intervention of 22.2%. After adjusting for other factors, HRURV cases are more likely to be discharged with a diagnosis related to digestive system or infectious disease (OR 1.64, 95% CI 1.02 to 2.65 and OR 2.81, 95% CI 1.05 to 7.51, respectively). Furthermore, presentation to the ED during off-hours is a significant predictor of HRURV (OR 1.64, 95% CI 1.11 to 2.43) as is the presence of a handover during the patient visit (OR 1.68, 95% CI 1.02 to 2.75). CONCLUSION:HRURV is an important key quality outcome metric that reflects a subgroup of ED patients with specific characteristics and predictors. Efforts to reduce this HRURV rate should focus on interventions targeting patients discharged with digestive system, kidney and urinary tract and infectious diseases diagnosis as well as exploring the role of handover tools in reducing HRURVs

Characteristics and determinants of high-risk unscheduled return visits to the emergency department.

BACKGROUND:High-risk unscheduled return visits (HRURVs), defined as return visits within 72 hours that require admission or die in the emergency department (ED) on representation, are a key quality metric in the ED. The objective of this study was to determine the incidence and describe the characteristics and predictors of HRURVs to the ED. METHODS:Case-control study, conducted between 1 November 2014 and 31 October 2015. Cases included all HRURVs over the age of 18 that presented to the ED. Controls were selected from patients who were discharged from the ED during the study period and did not return in the next 72 hours. Controls were matched to cases based on gender, age (±5 years) and date of presentation. RESULTS:Out of 38 886 ED visits during the study period, 271 are HRURVs, giving an incidence of HRURV of 0.70% (95% CI 0.62% to 0.78%). Our final analysis includes 270 HRURV cases and 270 controls, with an in-ED mortality rate of 0.7%, intensive care unit admission of 11.1% and need for surgical intervention of 22.2%. After adjusting for other factors, HRURV cases are more likely to be discharged with a diagnosis related to digestive system or infectious disease (OR 1.64, 95% CI 1.02 to 2.65 and OR 2.81, 95% CI 1.05 to 7.51, respectively). Furthermore, presentation to the ED during off-hours is a significant predictor of HRURV (OR 1.64, 95% CI 1.11 to 2.43) as is the presence of a handover during the patient visit (OR 1.68, 95% CI 1.02 to 2.75). CONCLUSION:HRURV is an important key quality outcome metric that reflects a subgroup of ED patients with specific characteristics and predictors. Efforts to reduce this HRURV rate should focus on interventions targeting patients discharged with digestive system, kidney and urinary tract and infectious diseases diagnosis as well as exploring the role of handover tools in reducing HRURVs