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

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.

Authors

Institutions

Publication Details

Journal
Journal of Alzheimer s Disease
Published
2024-10-08
DOI
https://doi.org/10.3233/jad-240728
Citations
5
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
1.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Robert Perneczky, Stefan Johannes Teipel, Soeren Mattke, Mark Hanson et al.
5 citations
Journal of Alzheimer s Disease
Dementia and Cognitive Impairment Research
1.93
article

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

Robert Perneczky, Stefan Johannes Teipel, Soeren Mattke, Mark Hanson, Jochen René Thyrian, Oezguer A. Onur, Christine A. F. Von Arnim, Yu Tang, Timo Grimmer, Lutz Frölich
article en
5 citations

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.

Journal of Alzheimer s DiseaseVol. 101(4)
University of Cologne (DE), University of Siegen (DE), Heidelberg University (DE), Universitätsmedizin Greifswald (DE), German Center for Neurodegenerative Diseases (DE), University Hospital Heidelberg (DE), TUM Klinikum (DE), Central Institute of Mental Health (DE), Munich Cluster for Systems Neurology (DE), University Hospital Cologne (DE), Imperial College London (GB), Technical University of Munich (DE), Ludwig-Maximilians-Universität München (DE), University of Sheffield (GB)
Good health and well-being
Openalex Percentile: Top 13%
Dementia and Cognitive Impairment Research
1.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.