ABSTRACT
The incorporation of Information and Communications Technology (ICT) in educational environments has generated diverse effects. The literature has established that the use of ICT can generate techno-distress in both teachers and students. However, the techno-distress and burnout caused in parents who help their children to use technological platforms have not been analyzed in depth. To contribute to closing this theoretical gap, we conducted a study with 131 parents who helped their children to use technological platforms, considering two antecedents of techno-distress and its effect on parental burnout. Our results demonstrate that both the home facilitating conditions and the system quality influence parental techno-distress. Additionally, it was possible to demonstrate that techno-distress has a significant effect on parental burnout. The use of technology in educational environments is increasing at all educational levels. Therefore, the present study provides relevant information that schools can use to reduce the impact of the negative effects generated by technology.
ABSTRACT
Our country is suffering the effects of the ongoing pandemic of coronavirus disease (COVID-19). Because the vulnerability of healthcare systems, especially the intensive care areas they can rapidly be overloaded. That challenge the ICUs simultaneously on multiple fronts making urgent to increase the number of beds, without lowering the standards of care. The purpose of this article is to discuss some aspects of the national situation and to provide recommendations on the organizational management of intensive care units such as isolation protocols, surge in ICU bed capacity, ensure adequate supplies, protect and train healthcare workers maintaining quality clinical management.
Subject(s)
Humans , Coronavirus Infections/epidemiology , Pandemics , Intensive Care Units/organization & administration , Intensive Care Units/supply & distribution , Surge CapacityABSTRACT
Our country is suffering the effects of the ongoing pandemic of coronavirus disease (COVID-19). Because the vulnerability of healthcare systems, especially the intensive care areas they can rapidly be overloaded. That challenge the ICUs simultaneously on multiple fronts making urgent to increase the number of beds, without lowering the standards of care. The purpose of this article is to discuss some aspects of the national situation and to provide recommendations on the organizational management of intensive care units such as isolation protocols, surge in ICU bed capacity, ensure adequate supplies, protect and train healthcare workers maintaining quality clinical management.
Subject(s)
COVID-19/epidemiology , Intensive Care Units/organization & administration , Intensive Care Units/supply & distribution , Pandemics , Humans , Surge CapacityABSTRACT
Hospital emergency departments are often overcrowded, resulting in long wait times and a public perception of poor attention. Delays in transferring patients needing further treatment increases emergency department congestion, has negative impacts on their health and may increase their mortality rates. A model built around a Markov decision process is proposed to improve the efficiency of patient flows between the emergency department and other hospital units. With each day divided into time periods, the formulation estimates bed demand for the next period as the basis for determining a proactive rather than reactive transfer decision policy. Due to the high dimensionality of the optimization problem involved, an approximate dynamic programming approach is used to derive an approximation of the optimal decision policy, which indicates that a certain number of beds should be kept free in the different units as a function of the next period demand estimate. Testing the model on two instances of different sizes demonstrates that the optimal number of patient transfers between units changes when the emergency patient arrival rate for transfer to other units changes at a single unit, but remains stable if the change is proportionally the same for all units. In a simulation using real data for a hospital in Chile, significant improvements are achieved by the model in key emergency department performance indicators such as patient wait times (reduction higher than 50%), patient capacity (21% increase) and queue abandonment (from 7% down to less than 1%).
Subject(s)
Emergency Service, Hospital/organization & administration , Organizational Policy , Patient Transfer/organization & administration , Bed Occupancy , Chile , Computer Simulation , Critical Care/organization & administration , Decision Making , Efficiency, Organizational , Hospitals , Humans , Intensive Care Units/organization & administration , Length of Stay , Markov Chains , Models, OrganizationalABSTRACT
The need for critical care services is increasing in Chile. Critical care beds and specialists in this area are scarce. In this article we discuss some aspects that hamper the care of critically ill patients from their arrival to the emergency department to their transfer to the ICU. Special emphasis is given to system saturation and its multiple causes. The benefits of an integrative approach between emergency medicine and critical care specialists are highlighted and some solutions are proposed to strengthen this partnership.
