Estimates of Current Capacity for Diagnosing Alzheimer's Disease in Sweden and the Need to Expand Specialist Numbers.
Alzheimer’s disease
Disease-modifying treatment
Sweden
capacity
preparedness
Journal
The journal of prevention of Alzheimer's disease
ISSN: 2426-0266
Titre abrégé: J Prev Alzheimers Dis
Pays: Switzerland
ID NLM: 101638820
Informations de publication
Date de publication:
2024
2024
Historique:
medline:
17
1
2024
pubmed:
17
1
2024
entrez:
17
1
2024
Statut:
ppublish
Résumé
The emergence of disease-modifying Alzheimer's (AD) treatments provides new hope to patients and families but concerns have been raised about the preparedness of healthcare systems to provide timely access to such treatments because of a combination of a complex diagnostic process and a large prevalent pool. We assess the preparedness of Sweden, a high-income country known for its dementia-friendly policies, to diagnose AD patients eligible for treatment within a six-month window, given current capacity for specialist evaluations and biomarker testing. We calculate the investment requirements for Sweden to achieve this target over a timeframe of 20 years. Desk research to identify data for population, mortality, disease burden, cost of services and current capacity, expert consultation to inform assumptions about patient journey, and use of a Markov model to predict waiting times. The model simulates the patients' journey through different evaluation stages: initial evaluation by a primary care specialist, neurocognitive testing by an AD specialist, and confirmatory biomarker testing with PET scanning or cerebrospinal fluid (CSF) testing. The model assumes specialist appointments and PET scans are capacity constrained, and patients progress from cognitively normal to MCI and from MCI to dementia in the resulting waiting times. Projected waiting times for diagnosis of eligibility for disease-modifying Alzheimer's treatment from 2023 to 2042 assuming current capacity, assuming 20% of Swedish residents aged 60 years and above would seek an evaluation for cognitive decline. Investments required to scale capacity up to reach target of providing diagnosis within six months on average. Initial average waiting times for AD specialist appointments would be around 21 months in 2023 and remain around 55 months through 2042, as demand would continue to outstrip supply throughout the 20-year model horizon. Waiting times for biomarker testing would be stable at less than four weeks, as patients would be held up in the queue for their first specialist consultations, and use of CSF testing is widely accepted in Sweden. An additional 25% of AD specialists would have to be added above the current growth trend to reduce waiting times to less than 6 months at an average annual cost of approximately 805 million SEK. The increased cost of volume of biomarker testing would amount to about 106 million SEK per year. At current capacity, the Swedish healthcare system is unable to provide timely diagnosis of patients eligible for disease-modifying AD treatment. Although future diagnostic technologies, such as digital cognitive assessments and blood tests for the AD pathology, might decrease demand for capacity-constrained services, substantial investments will be required to meet a target of less than six months of waiting time for a diagnosis.
Sections du résumé
BACKGROUND
BACKGROUND
The emergence of disease-modifying Alzheimer's (AD) treatments provides new hope to patients and families but concerns have been raised about the preparedness of healthcare systems to provide timely access to such treatments because of a combination of a complex diagnostic process and a large prevalent pool.
OBJECTIVES
OBJECTIVE
We assess the preparedness of Sweden, a high-income country known for its dementia-friendly policies, to diagnose AD patients eligible for treatment within a six-month window, given current capacity for specialist evaluations and biomarker testing. We calculate the investment requirements for Sweden to achieve this target over a timeframe of 20 years.
DESIGN
METHODS
Desk research to identify data for population, mortality, disease burden, cost of services and current capacity, expert consultation to inform assumptions about patient journey, and use of a Markov model to predict waiting times. The model simulates the patients' journey through different evaluation stages: initial evaluation by a primary care specialist, neurocognitive testing by an AD specialist, and confirmatory biomarker testing with PET scanning or cerebrospinal fluid (CSF) testing. The model assumes specialist appointments and PET scans are capacity constrained, and patients progress from cognitively normal to MCI and from MCI to dementia in the resulting waiting times.
MEASUREMENTS
METHODS
Projected waiting times for diagnosis of eligibility for disease-modifying Alzheimer's treatment from 2023 to 2042 assuming current capacity, assuming 20% of Swedish residents aged 60 years and above would seek an evaluation for cognitive decline. Investments required to scale capacity up to reach target of providing diagnosis within six months on average.
RESULTS
RESULTS
Initial average waiting times for AD specialist appointments would be around 21 months in 2023 and remain around 55 months through 2042, as demand would continue to outstrip supply throughout the 20-year model horizon. Waiting times for biomarker testing would be stable at less than four weeks, as patients would be held up in the queue for their first specialist consultations, and use of CSF testing is widely accepted in Sweden. An additional 25% of AD specialists would have to be added above the current growth trend to reduce waiting times to less than 6 months at an average annual cost of approximately 805 million SEK. The increased cost of volume of biomarker testing would amount to about 106 million SEK per year.
CONCLUSIONS
CONCLUSIONS
At current capacity, the Swedish healthcare system is unable to provide timely diagnosis of patients eligible for disease-modifying AD treatment. Although future diagnostic technologies, such as digital cognitive assessments and blood tests for the AD pathology, might decrease demand for capacity-constrained services, substantial investments will be required to meet a target of less than six months of waiting time for a diagnosis.
Identifiants
pubmed: 38230728
doi: 10.14283/jpad.2023.94
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
155-161Déclaration de conflit d'intérêts
Soeren Mattke serves on the board of directors of Senscio Systems, Inc., and the scientific advisory board of AiCure Technologies, Alzpath and Boston Millennia Partners. He has received consulting fees from Biogen, C2N, Eisai, Novartis, and Roche/Genentech. Anders Gustavsson is co-founder and partner of Quantify Research AB, providing consultancy services to pharmaceutical companies and other private and public organizations and institutions. He indirectly owns shares in and serves on the board of Mindmore AB. Lena Jacobs an employee of at Quantify Research AB. Anders Wimo reports funding by VINNOVA program: PREDEM, EU project IMI2 program: MOPEAD, EU project H2020 program: PRODEMOS, EU-project IHI:PROMINENT, EU-projects JPND: EURO-FINGER, PMI-AD, ADDITION, and is a license holder of the RUD-instrument. Bengt Winblad has taken part in one Scientific Advisory Board meeting for BioArctic where the lecanemab data were discussed. Linus Jönsson has received research funding to his institution from VINNOVA, FORTE, IHI, Novo Nordisk, serves on an advisory board for Servier, and receives license fees for the RUD instrument. Sebastian Palmqvist has received research funding to his institution from ki elements / ADDF, and consultancy/speaker fees from Bioartic, Biogen, Lilly, and Roche. Silke Kern has served on advisory boards and/or as consultant for Geras Solutions and Biogen. Maria Eriksdotter has served as consultant for Biogen and Roche. Ingmar Skoog reports no conflicts.