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Record W2736071657 · doi:10.1108/amhid-03-2017-0007

Aging with intellectual and developmental disabilities and dementia in Manitoba

2017· article· en· W2736071657 on OpenAlexaffabout
Shahin Shooshtari, Brenda M. Stoesz, Leslie Udell, Leanne Fenez, Natalia Dik, Charles Burchill, Elizabeth Sachs, Verena Menec

Bibliographic record

VenueAdvances in Mental Health and Intellectual Disabilities · 2017
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsManitoba HealthSt.AmantResearch ManitobaUniversity of Manitoba
Fundersnot available
KeywordsDementiaMedicineResidenceGerontologyPopulationNeighbourhood (mathematics)DemographyDiseaseEnvironmental health

Abstract

fetched live from OpenAlex

Purpose Information on the risk of dementia in aging persons with intellectual and/or developmental disability (IDD) in Manitoba, Canada is lacking. The purpose of this paper is to estimate dementia prevalence in adults with IDD. Design/methodology/approach Anonymized population-level health and non-health administrative data (1979-2012) contained in the Population Health Research Data Repository of the Manitoba Centre for Health Policy (MCHP) were linked to identify adults with IDD, and estimate the prevalence of dementia based on the presence of ICD codes. Prevalence of dementia was estimated for persons aged 18-55 years and 55+ years, and was reported by sex, type of residence, region of residence, neighbourhood income quintiles, and IDD diagnostic category. Findings Of the 8,655 adults with IDD identified, 8.1 per cent had an indication of dementia in their medical records; an estimate three times greater than that found for those without IDD (2.6 per cent). More than 17 per cent of Manitobans with IDD aged 55+ years had an indication of dementia, which was nearly twice the rate reported previously. Of those with IDD and dementia, 34.7 per cent lived in long-term care facilities. Originality/value Health and social support services are typically available to individuals with dementia aged 65+ years; thus, younger adults with IDD and dementia may not be eligible for those supports. To promote equity in health and access to care, dementia screening and increased supports for aging individuals with IDD are recommended.

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)0.001
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.351
Teacher spread0.308 · 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 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

Citations6
Published2017
Admission routes2
Has abstractyes

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