Ontology highlight
ABSTRACT: Background
Older individuals who experience a severe fall are at high risk for long-term consequences and require structured follow-up care including risk assessments and secondary prevention (e.g. exercise). Accurate knowledge of pre-existing diagnoses is essential for tailoring interventions. However, identifying these diagnoses in emergency department (ED) is challenging due to time constraints, high workload, potential recall bias after a traumatic event, and limited electronic data exchange across healthcare settings in Germany. This study analyses the concordance between self-reported diagnoses of adults aged > 60 years presenting to the ED after a fall without hospitalisation and diagnostic information provided by their general practitioners (GPs).Methods
Data from t
SUBMITTER: Fellholter G
PROVIDER: S-EPMC12502360 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature