Current Capacity for Diagnosing Alzheimer’s Disease in Germany and Implications for Wait Times

Mattke, Soeren; Tang, Yu; Hanson, Mark; Arnim, Christine A.F. von; Frölich, Lutz; Grimmer, Timo; Onur, Oezguer A.; Perneczky, Robert ; Teipel, Stefan und Thyrian, Jochen René (2024): Current Capacity for Diagnosing Alzheimer’s Disease in Germany and Implications for Wait Times. In: Journal of Alzheimer's Disease, Bd. 101, Nr. 4: S. 1249-1259

Abstract

Background:Amyloid-targeting therapies for Alzheimer’s disease (AD) might become available in Germany soon. The combination of a large pool of prevalent cases and a complex diagnostic process to determine eligibility for these treatments is likely to challenge health systems’ capacity. Objective:To analyze Germany’s healthcare system capacity to identify treatment-eligible patients in a timely and equitable manner. Methods:We modeled patients’ diagnostic journey and projects wait times due to capacity constraints for AD specialist visits and PET scans from 2024 to 2043. Model parameters were derived from published data and expert input. Results:Wait times would be ∼50 months over the model horizon, if patients were referred to specialists based on a brief cognitive assessment in primary care. Wait times for patients with social health insurance are projected to be 1.9 times those of patients with private insurance, with peak wait times of around 76 and 40 months, respectively. Adding a blood test for the AD pathology as additional triage step would reduce wait times to below 24 months. Conclusions:In spite of having a well-resourced health system, Germany is projected to be unable to cope with the demand for biomarker-based AD diagnosis, if a disease-modifying AD treatment were introduced. As these treatments might become available by the end of 2024, decisive action, in particular dissemination of high-performing AD blood tests for triage in primary care, will be needed to prevent delays in access and potentially avoidable and inequitable disease progression.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin > Munich Cluster for Systems Neurology (SyNergy) ; Medizin > Institut für Schlaganfall- und Demenzforschung (ISD) ; Medizin > Klinikum der LMU München > Klinik und Poliklink für Psychiatrie und Psychotherapie
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 1387-2877
• Sprache: Englisch
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198