Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 6 de 6
Filter
1.
Med J Aust ; 218(10): 458-459, 2023 06 05.
Article in English | MEDLINE | ID: covidwho-2317393
2.
Med J Aust ; 218(10): 474-481, 2023 06 05.
Article in English | MEDLINE | ID: covidwho-2293520

ABSTRACT

OBJECTIVES: To examine the association between inter-hospital transfer and in-hospital mortality among people with coronavirus disease 2019 (COVID-19) admitted to intensive care units (ICUs) in Australia. DESIGN: Retrospective cohort study; analysis of data collected for the Short Period Incidence Study of Severe Acute Respiratory Illness (SPRINT-SARI) Australia study. SETTING, PARTICIPANTS: People with COVID-19 admitted to 63 ICUs, 1 January 2020 - 1 April 2022. MAIN OUTCOME MEASURES: Primary outcome: in-hospital mortality; secondary outcomes: ICU and hospital lengths of stay and frequency of selected complications. RESULTS: Of 5207 people with records in the SPRINT-SARI Australia database at 1 April 2022, 328 (6.3%) had been transferred between hospitals, 305 (93%) during the third pandemic wave. Compared with patients not transferred, their median age was lower (53 years; interquartile range [IQR], 45-61 years v 60 years; IQR, 46-70 years), their median body mass index higher (32.5 [IQR, 27.2-39.0] kg/m2 v 30.1 [IQR, 25.7-35.7] kg/m2 ), and fewer had received a COVID-19 vaccine (22% v 44.9%); their median APACHE II scores were similar (14.0; IQR, 12.0-18.0 v 14.0; IQR, 10.0-19.0). Bacterial pneumonia (64.7% v 29.0%) and bacteraemia (27% v 8%) were more frequent in transferred patients, as was the need for more intensive ICU interventions, including invasive mechanical ventilation (71.2% v 38.1%) and extra-corporeal membrane oxygenation (26% v 1.7%). Crude ICU (19% v 14.9%) and in-hospital mortality (19% v 18.4%) were similar for patients who were or were not transferred; median lengths of ICU (20.0 [IQR, 11.2-40.3] days v 4.6 [IQR, 2.1-10.1] days) and hospital stay (29.7 [IQR, 18.1-49.6] days v 12.3 [IQR, 7.3-21.0] days) were longer for transferred patients. In the multivariable regression analysis, in-hospital mortality risk was lower for transferred patients (risk difference [RD], -5.0 percentage points; 95% confidence interval [CI] -10 to -0.03 percentage points), but not in the propensity score-adjusted analysis (RD, -3.4 [95% CI, -8.9 to 2.1] percentage points). CONCLUSIONS: Among people with COVID-19 admitted to ICUs, patients transferred from another hospital required more intense interventions and remained in hospital longer, but were not at greater risk of dying in hospital than the patients who were not transferred.


Subject(s)
COVID-19 , Humans , Middle Aged , COVID-19/epidemiology , COVID-19/therapy , Retrospective Studies , COVID-19 Vaccines , Cohort Studies , Intensive Care Units , Hospitals , Hospital Mortality , Critical Illness
4.
Health Secur ; 21(1): 4-10, 2023.
Article in English | MEDLINE | ID: covidwho-2188075

ABSTRACT

To meet surge capacity and to prevent hospitals from being overwhelmed with COVID-19 patients, a regional crisis task force was established during the first pandemic wave to coordinate the even distribution of COVID-19 patients in the Amsterdam region. Based on a preexisting regional management framework for acute care, this task force was led by physicians experienced in managing mass casualty incidents. A collaborative framework consisting of the regional task force, the national task force, and the region's hospital crisis coordinators facilitated intraregional and interregional patient transfers. After hospital admission rates declined following the first COVID-19 wave, a window of opportunity enabled the task forces to create, standardize, and optimize their patient transfer processes before a potential second wave commenced. Improvement was prioritized according to 3 crucial pillars: process standardization, implementation of new strategies, and continuous evaluation of the decision tree. Implementing the novel "fair share" model as a straightforward patient distribution directive supported the regional task force's decisionmaking. Standardization of the digital patient transfer registration process contributed to a uniform, structured system in which every patient transfer was verifiable on intraregional and interregional levels. Furthermore, the regional task force team was optimized and evaluation meetings were standardized. Lines of communication were enhanced, resulting in increased situational awareness among all stakeholders that indirectly provided a safety net and an improved integral framework for managing COVID-19 care capacities. In this article, we describe enhancements to a patient transfer framework that can serve as an exemplary system to meet surge capacity demands during current and future pandemics.


Subject(s)
COVID-19 , Mass Casualty Incidents , Humans , Surge Capacity , Critical Care
5.
Discrete Dynamics in Nature & Society ; : 1-13, 2022.
Article in English | Academic Search Complete | ID: covidwho-1923350

ABSTRACT

In this study, due to the importance of emergency centers and patient transport vehicles in epidemic conditions, the performance of emergency centers has been evaluated based on health protocols. The criteria were first divided into preventive and operational sections by collecting opinions, health experts, standard criteria, and the Delphi method. Preventive criteria for evaluating emergency centers and operating criteria for assessing vehicles in these centers are considered. The weighting of the determined criteria was done by the triangular fuzzy aggregation method. According to the standard criteria, the emergency centers have been evaluated for a 30-day period. The results have been assessed as a qualitative and quantitative matrix using the PROMETHEE method. The results showed better performance of Center A (63%) due to proper performance and better compliance with protocols in both criteria (preventive and operational). The reason for the superiority of this center over Center B can be considered the better performance of this center in terms of prevention indicators and better performance of the center's vehicles (Ambulance A-1 and Ambulance A-2) in the performance index by observing the standards. [ FROM AUTHOR] Copyright of Discrete Dynamics in Nature & Society is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

6.
Notf Rett Med ; 24(8): 1114-1118, 2021.
Article in German | MEDLINE | ID: covidwho-917125

ABSTRACT

An EMS helicopter was scheduled to transport a woman with COVID-19 acute respiratory distress syndrome. However, the patient was found in prone position in the delivering hospital. After repositioning in the supine position, life-threatening hypoxemia occurred, so that the patient had to be returned to the prone position. After a structured decision making process, the patient could be transported with the helicopter without complications in prone position. Fortunately, the patient was stabilized in the further course of the disease and was transferred to a weaning facility breathing spontaneously with pressure support.

SELECTION OF CITATIONS
SEARCH DETAIL