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DOI: 10.1055/a-2051-7613
Erfassung direkter (COVID-19-bezogener) und kollateraler, psychosozialer Folgen für vulnerable Gruppen am Beispiel schwerer psychischer Erkrankungen
Assessment of Direct (COVID-19-Related) and Collateral, Psychosocial Pandemic Consequences for Vulnerable Groups by the Example of Serious Mental IllnessFördermittel Diese Veröffentlichung wurde teilweise gefördert durch das Bundesministerium für Bildung und Forschung (BMBF) im Rahmen des Netzwerks Universitätsmedizin 2.0: "NUM 2.0", Nr. 01KX2121, Projekt: Kollateraleffekte von Pandemien (Collateral Effects of Pandemics; CollPan).
Zusammenfassung
Die indirekten Pandemiefolgen könnten die direkten Auswirkungen von SARS-CoV-2 in Bezug auf Kosten, Morbidität und Mortalität weit übersteigen. Dieses Essay beinhaltet einen Methodenvorschlag (Matrix), um virusbezogene und psychosoziale Risiken für verschiedene Bevölkerungsgruppen auf systematische und übersichtliche Weise nebeneinander sichtbar zu machen. COVID-19-bezogene und psychosoziale Vulnerabilität, Stressoren, direkte sowie indirekte Folgen werden Theorie- und evidenzbasiert hergeleitet und bestimmt. Eine exemplarische Quantifizierung der Matrix für die vulnerable Gruppe von Menschen mit schweren psychischen Erkrankungen ergab ein sehr hohes Risiko für schwere COVID-19-Folgen, sowie ein ausgeprägtes Risiko für psychosoziale Kollateraleffekte. Das vorgeschlagene Vorgehen könnte für ein risikogestuftes Pandemiemanagement, die Krisenaufarbeitung, und zukünftige Preparedness weiter diskutiert werden, um psychosoziale Kollateraleffekte angemessen zu berücksichtigen und diesbezüglich gefährdete Gruppen besser zu identifizieren und zu schützen.
Abstract
The indirect pandemic consequences could by far exceed the direct effects of SARS-CoV-2 in terms of costs, morbidity, and mortality. This essay includes a proposed method (matrix) to visualize virus-related and psychosocial risks for different populations side by side in a systematic and concise manner. COVID-19-related and psychosocial vulnerability, stressors, direct and indirect consequences are derived on a theoretical and empirical basis. An exemplary quantification of the matrix for the vulnerable group of people with severe mental illness revealed a very high risk for severe COVID-19 consequences, as well as a pronounced risk for psychosocial collateral effects. The proposed approach could be further discussed for a risk-graded pandemic management, crisis recovery, and future preparedness to adequately address psychosocial collateral effects and better identify and protect vulnerable groups in this regard.
Schlüsselwörter
Pandemiemanagement - psychosoziale Folgen - COVID-19 - Risikoprofile - MethodenentwicklungKey words
pandemic management - psychosocial consequences - COVID-19 - risk profiles - method developmentPublication History
Received: 04 July 2022
Accepted: 24 January 2023
Article published online:
03 May 2023
© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
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