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Record W4390192679 · doi:10.1002/alz.075153

Virtual Design of the Brain Health Support Program and CAN‐THUMBS UP

2023· article· en· W4390192679 on OpenAlexaffabout
Howard Feldman, Sylvie Belleville, Haakon B. Nygaard, Manuel Montero‐Odasso, Howard Chertkow

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsBaycrest HospitalJewish General HospitalUniversity of TorontoWestern UniversityUniversity of British ColumbiaUniversité de Montréal
Fundersnot available
KeywordsPsychological interventionDementiaIntervention (counseling)MedicinePopulationGerontologyPsychologyNursingDiseaseEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Background Modifiable lifestyle factors account for ∼40% of the population attributable risk of dementia. This provides a strong rationale to develop remotely administered, personally tailored, home‐based interventions to reduce these risk factors. CAN‐THUMBS UP (CTU) is a fully remote program that has enrolled a cohort of individuals at risk of dementia, developed an interactive online educational intervention to address personalized risk factors and their modification, and supports an open platform trial to test and compare the efficacy of multidomain interventions. CTU is reaching a broader geography with potential for inclusion of more representative research populations and with an easier and less demanding participant experience. Method CTU’s two research intervention programs include: a) The Brain Health Support Program (BHSP) with individuals at increased risk of dementia participating in the Brain Health PRO, a 12‐month online educational program which focuses on lifestyle and dementia risk factors; b) Synchronizing, Exercises and Remedies to Gain Cognition (SYNERGIC), a clinical trial intervention platform whose RCTs are investigating personalized multidomain interventions including those administered fully remotely. In SYNERGIC‐2, the BHPro educational intervention is used as an active control to a more personalized and tailored interventional approach. CTU programs are informed by initial pilot studies, have extensive community input, and incorporate innovative features including an interactive E‐consent platform, remote cognitive testing, wearable technology for sleep and activity monitoring, and home saliva collection for genomics. Result Target enrollment of 350 participants in BHSP has been rapidly achieved within 8 months utilizing geotargeted mailing and a coordinated national media campaign. Participants are recruited from all regions of Canada. Pilot studies demonstrated the feasibility of conducting a 100% remote study with high rates of participant satisfaction and completion rates across various virtual outcomes. Results of each of these components of the remote program will be detailed in this FRS. Conclusion CTU demonstrates the feasibility and high rate of participant acceptance in fully remote, comprehensive, online programs that include an educational intervention as well as fully remote, multi‐domain lifestyle intervention trials. The adoption of the various technologies has exceeded expectations and supports further clinical trial development with this approach.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.002

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 head0.071
GPT teacher head0.374
Teacher spread0.303 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations2
Published2023
Admission routes2
Has abstractyes

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