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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 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)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.095
Threshold uncertainty score0.317

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0050.004
Open science0.0020.009
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0950.019

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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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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