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Record W4391479935 · doi:10.1017/s1041610223001904

S5: COGNISANCE: Co-Designing Dementia Diagnosis And Post Diagnostic Care

2023· article· en· W4391479935 on OpenAlexaboutno aff
Frans R.J. Verhey, Henry Brodaty

Bibliographic record

VenueInternational Psychogeriatrics · 2023
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaGeneral partnershipPrincipal (computer security)Health careNursingPsychologyQualitative researchMedicinePublic relationsMedical educationDiseaseSociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Symposium OverviewPeople with dementia can live full and meaningful lives after diagnosis, but still many people with dementia and their family care partners are dissatisfied with the process of getting a diagnosis and may also receive limited, if any, post-diagnostic support. The international COGNISANCE project aims to improve the communication of dementia diagnosis and post-diagnostic support. It is a 3-year project supported by the EU Joint Program for Neurodegenerative Disease Research (JPND), with partners in Australia (lead), Canada, Netherlands, UK, and Poland.Based on the experiences of people with dementia, family care partners and health care professionals, and in partnership with them, we codesigned a website that provides structured information, resources and tools tailored to empower people with dementia and their family care partners. Effects of the campaign was evaluated using the RE-AIM framework. From our collective experiences, a ‘playbook’ was produced outlining how to deliver similar campaigns in other countries. Through these activities we aimed to improve health care practitioner’s diagnostic habits and provision of support, as well as increase help seeking by people with dementia and care partners.In this symposium, you will hear about the latest results of four workpackages of this COGNISANCE project:1. A general overview of the rationale, goals, and design of the project will be presented by the principal investigator2. Data of a qualitative study will be presented on the experiences of receiving a diagnosis, and the barriers and facilitators towards post-diagnostic support, as well as on the differences and similarities between countries.3. The development of an online actionable guide Forward with dementia (www.forwardwithdementia.org) using a person-centered approach with target audience groups. The aim of this online guide was to support decision making and to help people find their way forward from a diagnosis of dementia.4. Data will be presented of the evaluation of the implementation and perceived impact of the Forward With Dementia websites and campaign in the five participating countries

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.126
GPT teacher head0.454
Teacher spread0.328 · 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 teacher head, not a consensus.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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