Eskalations‑/Deeskalationskonzept zur COVID-19-bedingten Freihaltung von Intensivkapazitäten an Kliniken

Eg, Pfenninger; Klingler, Werner; Fessel, W. J.; Schindler, Suzanne E.; Ux, Kaisers

doi:10.1007/s00101-021-00982-z

Cited by 4 publications

(2 citation statements)

References 6 publications

(7 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Prior to the COVID-19 pandemic, absolute workload and time pressure values were highest among nurses in the IMC unit. These perceptions did not change significantly among IMC nurses during the COVID-19 pandemic, which could be attributed to anticipatory measures to reduce ICU nurses’ workload, as intensive care beds were kept free for COVID-19 patients [ 47 ] and non-intensive care nurses were kept available for support in ICUs [ 48 ]. It is interesting that the IMC unit is characterized by the lowest median age of nurses and the highest proportion of male nurses compared with the other functional areas.…”

Section: Discussionmentioning

confidence: 99%

Assessment of psychological and physical stressors among nurses in different functional areas before and during the COVID-19 pandemic: a cross-sectional study

Winnand,

Fait,

Ooms

et al. 2023

BMC Nurs

View full text Add to dashboard Cite

Background The COVID-19 (coronavirus disease) pandemic placed a great burden on all health-care resources, especially nurses. The prevalence and underlying risk factors of affective symptoms related to the COVID-19 pandemic have been studied primarily among nurses in intensive care units (ICU) and emergency departments. The aim of this study was to identify at-risk nursing areas by examining the psychological and physical stress values of nurses in different functional areas. Methods A questionnaire with standardized items was developed to assess psychological and physical stress values. At least 50 nurses with a minimum work experience of 3 years were recruited from the ward, outpatient clinic (OC), intermediate care (IMC) unit, and operating room (OR) of the University Hospital RWTH Aachen. The participants answered the questionnaire by referring to their perceptions before and during the COVID-19 pandemic. Absolute differences and relative trends in psychological and physical stress values were compared within and across functional areas. Results The ward and OR nurses experienced significant increases in workload (p < 0.001 and p = 0.004, respectively) and time stressors (p < 0.001 and p = 0.043, respectively) during the COVID-19 pandemic. Regardless of functional area, the nurses showed strong tendencies toward increases in subclinical affective symptoms. After adjustments for age, sex, working in a shift system, the treatment of patients with COVID-19, and the impact of the COVID-19 pandemic on personal life, the values for working with pleasure decreased significantly among the ward (p = 0.001) and OR nurses (p = 0.009) compared with the OC nurses. In addition, the ward (p < 0.001) and OR nurses (p = 0.024) were significantly more likely to express intent to leave their profession than OC nurses. Conclusions The IMC nurses showed good adaptation to the exacerbated situation caused by the COVID-19 pandemic. The ward nurses, followed by the OR nurses, were the most vulnerable to mental and physical exhaustion, which threatened the nurses’ resilience and retention in the wake of the COVID-19 pandemic. Therefore, intervention programs must specifically address the professional and emotional needs of ward and OR nurses to prepare the health-care system for future crises.

show abstract

Section: Discussionmentioning

confidence: 99%

Assessment of psychological and physical stressors among nurses in different functional areas before and during the COVID-19 pandemic: a cross-sectional study

Winnand,

Fait,

Ooms

et al. 2023

BMC Nurs

View full text Add to dashboard Cite

show abstract

“…Ergänzt wurde die Gruppe durch Prof. Dr. Werner Klingler, Sprecher des Arbeitskreises Neuroanästhesie der Deutschen Gesellschaft für Anästhesie und Intensivmedizin. Hier gab es ebenfalls Synergien, bezüglich der Aktivitäten im Bereich COVID-19 21 sowie Atem- und Sprachübungen nach Entwöhnung von künstlicher Beatmung (Weaning Strategien).…”

Section: Der Werkzeugkasten Des Atem- Sprech- Und Stimmlehrersunclassified

Einmal tief durchatmen – Atemtherapie mit dem Turbofaktor Therapiebegleithund

Contreras,

Del Carpio Catalan,

Taphya

et al. 2023

Hands on - Manuelle und Physikalische Therapien in der Tiermedi

View full text Add to dashboard Cite

Dieser Beitrag lässt uns weit über den üblichen Hands-on-Tellerrand hinausblicken. Er ist zum einen ein kleines Plädoyer für die besondere Verbindung von Mensch und Hund. Er gibt dabei Einblick in den Arbeitsalltag eines Therapiebegleithundes – voller Bewunderung für das Können, die Empathie und die Intelligenz des Hundes sowie den enormen Einfluss, den dieser auf die Patienten haben kann. Zum anderen ist es eine inspirierende Geschichte über interdisziplinäre Zusammenarbeit und wie aus der Not heraus eine hoffnungsgebende Behandlungsmethode aus Techniken des Atem- und Stimmtrainings entwickelt werden konnte.

show abstract

The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany

Rave,

Kauermann

2024

Statistical Modelling

View full text Add to dashboard Cite

With the beginning of the COVID-19 pandemic, we became aware of the need for comprehensive data collection and its provision to scientists and experts for proper data analyses. In Germany, the Robert Koch Institute (RKI) has tried to keep up with this demand for data on COVID-19, but there were (and still are) relevant data missing that are needed to understand the whole picture of the pandemic. In this article, we take a closer look at the severity of the course of COVID-19 in Germany, for which ideal information would be the number of incoming patients to ICU units. This information was (and still is) not available. Instead, the current occupancy of ICU units on the district level was reported daily. We demonstrate how this information can be used to predict the number of incoming as well as released COVID-19 patients using a stochastic version of the Expectation Maximization algorithm (SEM). This, in turn, allows for estimating the influence of district-specific and age-specific infection rates as well as further covariates, including spatial effects, on the number of incoming patients. The article demon-strates that even if relevant data are not recorded or provided officially, statistical modelling allows for reconstructing them. This also includes the quantification of uncertainty which naturally results from the application of the SEM algorithm.

show abstract

Eskalations‑/Deeskalationskonzept zur COVID-19-bedingten Freihaltung von Intensivkapazitäten an Kliniken

Cited by 4 publications

References 6 publications

Assessment of psychological and physical stressors among nurses in different functional areas before and during the COVID-19 pandemic: a cross-sectional study

Assessment of psychological and physical stressors among nurses in different functional areas before and during the COVID-19 pandemic: a cross-sectional study

Einmal tief durchatmen – Atemtherapie mit dem Turbofaktor Therapiebegleithund

The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany

Contact Info

Product

Resources

About