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Record W4405076128 · doi:10.51731/cjht.2024.1038

Health System Readiness for Disease-Modifying Therapies for Alzheimer Disease

2024· article· en· W4405076128 on OpenAlexaboutno aff
CDA-AMC

Bibliographic record

VenueCanadian Journal of Health Technologies · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsDiseaseMedicineAlzheimer's diseasePsychologyInternal medicine

Abstract

fetched live from OpenAlex

What Is the Issue? Alzheimer disease (AD) is a chronic neurological degenerative disease and one of the most common causes of dementia. It affected an estimated 368,200 people in Canada in 2020. Mild cognitive impairment (MCI) is a clinical condition involving memory loss that can progress to dementia and is often due to underlying AD. It was estimated to affect around 917,000 people in Canada aged 60 and older in 2020. Disease-modifying therapies (DMTs) are being developed that target underlying pathologic processes of AD to slow disease progression, unlike contemporary treatments that focus on managing symptoms. A prominent target of these therapies is amyloid-beta, a protein known to contribute to amyloid plaques. Many of the anti–amyloid-beta DMTs are intended for people with early-stage AD, which includes MCI and mild dementia due to AD. At least 7 countries have approved a therapy from this treatment class, and, at the time of writing, 2 therapies are undergoing regulatory review by Health Canada and reimbursement review by Canada's Drug Agency (CDA-AMC). DMTs demand more frequent health care visits and higher use of medical imaging for safe treatment and monitoring. This would greatly impact current care pathways for early-stage AD, necessitating an examination of health system readiness in Canada. What Did CDA-AMC Do? CDA-AMC sought to examine health system readiness in Canada and care pathways for early-stage patients with AD in preparation for the potential use of these anti–amyloid-beta DMTs in Canada. CDA-AMC reviewed publicly available data and literature about health systems and AD treatment pathways for improving dementia care to prepare for the possible introduction of DMTs in health systems in Canada. What Did CDA-AMC Find? CDA-AMC found that, if DMTs were approved by Health Canada and provincial and territorial drug plans, a new model of care for AD in Canada would be necessary. The new care pathway would require: earlier screening and diagnosis, at the MCI or mild dementia stages of AD guidance for optimal use of diagnostic imaging and biomarker-based tests, as well as an increase in equitable access to PET-CT units for amyloid PET exams or cerebrospinal fluid (CSF) testing to assess treatment eligibility increased capacity to administer IV infusions guidance for optimal use of MRI to avoid overuse and increase equitable access to MRI to monitor individuals through treatment a combination of reliable and validated methods and tools for evaluating cognitive decline in diverse populations, including Indigenous Peoples and racialized groups, presenting with cognitive symptoms or undergoing treatment clear criteria for discontinuing treatment. CDA-AMC found that assessment and diagnosis of early-stage AD and timely access to DMTs could be delayed due to: a lack of education and awareness of symptoms of early-stage AD among the general public and care providers, as well as cultural barriers, including a fear of stigma or cultural perceptions of the condition staffing shortages in care providers capable of assessing and treating dementia and other supporting staff, including primary care providers (PCPs), dementia specialists, nurses, imaging staff, and social care providers limited capacity of medical imaging (e.g., PET-CT and MRI) and laboratory services (i.e., CSF analysis) to confirm early-stage AD and treatment eligibility and to monitor drug response and disease progression. A variety of new technologies are in development, including new AD biomarker testing methods, that may alleviate some capacity concerns in dementia detection, treatment eligibility screening, treatment administration, and patient monitoring. Alternative DMTs that target other AD pathologic processes are also in development. What Does This Mean? There may be challenges in providing equitable and timely access to DMTs for AD, given the geographic distribution of the population (especially in rural and remote locations), cultural barriers, and lack of awareness of the condition in the population in Canada. Not all individuals with mild dementia due to early-stage AD or MCI who are eligible for treatment may have timely access to screening and diagnosis, which could prevent them from receiving DMTs. Additionally, an increased number of individuals — some of whom may not be eligible for DMTs — may be motivated to seek screening, leading to higher demand and potential delays in the screening process. Health system decision-makers may want to consider system-wide adaptations to enhance screening and care for individuals with suspected early-stage AD, given the projected rise in AD prevalence, which is expected to exceed 1.1 million people by 2050. This may include: adding more health and social care staff providing enhanced training to effectively assess and diagnose early-stage AD improving access to diagnostic imaging to screen and monitor patients using anti–amyloid-beta DMTs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.079
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.845

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.079
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0050.003
Scholarly communication0.0090.005
Open science0.0030.004
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0350.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.396
GPT teacher head0.448
Teacher spread0.052 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

Explore more

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