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Record W1983847755 · doi:10.1016/j.jalz.2012.05.1520

P3‐297: Rural Dementia Action Research (RaDAR) team: Report on a community‐based primary health care team grant planning session

2012· article· en· W1983847755 on OpenAlexaffabout
Julie Kosteniuk, Debra Morgan, Margaret Crossley, Megan E. O’Connell, Andrew Kirk, Norma J. Stewart, Vanina Dal Bello‐Haas, Dorothy Forbes, Anthea Innes, John Keady, Sridhar Vaitheswaran, Alan Murdoch

Bibliographic record

VenueAlzheimer s & Dementia · 2012
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcMaster UniversityUniversity of AlbertaUniversity of Saskatchewan
Fundersnot available
KeywordsDementiaSession (web analytics)Focus groupNursingMedicinePsychological interventionRural areaHealth careFamily caregiversFamily medicinePsychologyDiseaseBusinessPolitical science

Abstract

fetched live from OpenAlex

Rural and remote areas of Saskatchewan have a higher proportion of seniors compared to urban areas, but offer fewer primary health care, specialist, and support services. The purpose of the Rural Dementia Action Research (RaDAR) team is to improve primary healthcare delivery to people with mild cognitive impairment and dementia and their caregivers in rural and remote communities. Fifty-three stakeholders attended a one-day planning session in October 2011. The majority of participants were health region directors, family doctors, nurse practitioners, and family caregivers. Data collection involved five focus groups and a self-administered survey. Discussion topics provided to focus group facilitators focused on: gaps in primary healthcare for people with dementia and their caregivers in rural and remote communities, the reasons for these gaps, possible ways to resolve these gaps, the objectives of designing primary healthcare delivery models, and suggestions for specific primary healthcare interventions. At the end of the planning session, stakeholders completed a brief self-administered survey. Participants indicated that symptoms of dementia are often not recognized early in the disease by families and healthcare professionals, or may be attributed to normal aging. Families typically seek help when they have reached a crisis point, and diagnosis tends to be made later than it might possibly be made. Post-diagnostic care is not consistent across the province and can be difficult to access, such as primary care and home care services. Patients and caregivers do not receive the services they need in order to stay in their own home for as long as possible. As a result, caregivers experience distress and long-term care admission for individuals with dementia may be crisis-driven rather than the result of careful decision-making. Based on the Planning Session results and additional research, the RaDAR team has engaged further with stakeholders to develop interventions aimed at addressing some of the gaps that are evident in rural primary health care for people with dementia and their caregivers.

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)0.012
metaresearch head score (Gemma)0.015
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.068
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0080.001
Scholarly communication0.0020.002
Open science0.0040.007
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0680.019

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 head0.431
Teacher spread0.305 · 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
GenreOther

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
Published2012
Admission routes2
Has abstractyes

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