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

Alzheimer’s disease biomarker diagnosis disease-modifying treatment health system preparedness specialty care wait times

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
17 Sep 2024
Historique:
medline: 20 9 2024
pubmed: 20 9 2024
entrez: 20 9 2024
Statut: aheadofprint

Résumé

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. To analyze Germany's healthcare system capacity to identify treatment-eligible patients in a timely and equitable manner. 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. 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. 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
To analyze Germany's healthcare system capacity to identify treatment-eligible patients in a timely and equitable manner.
Methods UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 39302379
pii: JAD240728
doi: 10.3233/JAD-240728
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Soeren Mattke (S)

The USC Brain Health Observatory, USC Dornsife, Los Angeles, CA, USA.

Yu Tang (Y)

The USC Brain Health Observatory, USC Dornsife, Los Angeles, CA, USA.

Mark Hanson (M)

The USC Brain Health Observatory, USC Dornsife, Los Angeles, CA, USA.

Christine A F von Arnim (CAF)

Department of Geriatrics, University Medical Center Goettingen, Goettingen, Germany.

Lutz Frölich (L)

Department of Geriatric Psychiatry, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany.

Timo Grimmer (T)

Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Munich, Germany.

Oezguer A Onur (OA)

Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Robert Perneczky (R)

Department of Psychiatry and Psychotherapy, LMU Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany.
German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany.
Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK.
School of Public Health, Imperial College London, London, UK.

Stefan Teipel (S)

Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock, Rostock, Germany.
Department of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany.

Jochen René Thyrian (JR)

Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock, Rostock, Germany.
Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Faculty V, University of Siegen, Siegen, Germany.

Classifications MeSH