SARS-CoV-2 and Adolescent Psychiatric Emergencies at the Tübingen University Hospital: Analyzing Trends, Diagnoses, and Contributing Factors.
Priska S SchneiderMichelle PantisChristine PreiserDaniela HagmannGottfried M BarthTobias J RennerKatharina AllgaierPublished in: International journal of environmental research and public health (2024)
Psychiatric emergencies have increased in recent decades, particularly with the onset of the SARS-CoV-2 pandemic, and far too little is known about the backgrounds of these emergencies. In this study, we investigated the extent to which the number of psychiatric emergencies changed during and in the aftermath of the SARS-CoV-2 pandemic at the Child and Adolescent Psychiatry (CAP) Tübingen. We considered age and psychiatric diagnoses. Additionally, we evaluated the backgrounds of the emergencies. We applied a mixed- (quantitative and qualitative) methods approach to data on emergency presentations at the CAP Tübingen from the pre-SARS-CoV-2 pandemic period (October 2019-January 2020) to Restriction Phase 1 (October 2020-January 2021), Restriction Phase 2 (October 2021-January 2022), and endemic phase (October 2022-January 2023). The total number of emergencies and those with eating disorders and affective disorders increased, while obsessive-compulsive disorders, expansive disorders and anxiety disorders decreased. The patients presenting in the pre-SARS-CoV-2 pandemic period were younger than those in the subsequent periods. We content-coded the reasons behind the emergency presentations. We also identified four areas of stressors and personality characteristics associated with the emergency presentations. In light of the increasing number of psychiatric emergencies, the long-term aim should be to meet the growing demands and create options for prevention.
Keyphrases
- sars cov
- mental health
- respiratory syndrome coronavirus
- public health
- emergency department
- healthcare
- young adults
- end stage renal disease
- obsessive compulsive disorder
- chronic kidney disease
- high resolution
- newly diagnosed
- systematic review
- machine learning
- case report
- emergency medical
- patient reported
- mass spectrometry
- atomic force microscopy
- data analysis