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Record W4388852086 · doi:10.1111/jar.13169

Towards developing an intervention to support periodic health checks for adults with intellectual and developmental disabilities: Striving for health equity

2023· article· en· W4388852086 on OpenAlexaffabout
Karen McNeil, Jillian Achenbach, Beverley Lawson, Alannah Delahunty‐Pike, Brittany Barber, Heidi Diepstra

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2023
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsSurrey Place CentreDalhousie University
Fundersnot available
KeywordsIntellectual disabilityStakeholderIntervention (counseling)Equity (law)Health carePsychologyPrimary careNursingMedicineMedical educationPublic relationsFamily medicinePolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Although the Canadian Consensus Guidelines for Primary Care of Adults with Intellectual and Developmental Disabilities recommends conducting periodic health checks in primary care, uptake is lacking. This study seeks to understand factors influencing the conduct of periodic health checks and identify what needs to change to increase them. METHOD: Qualitative data from five stakeholder groups (adults with intellectual and developmental disabilities, primary care providers, administrative staff, family, disability support workers) was guided by the Behaviour Change Wheel and the Theoretical Domains Framework to identify barriers and 'what needs to change' to support periodic health checks. RESULTS: Stakeholders (n = 41) voiced multiple barriers. A total of 31 common and 2 unique themes were identified plus 33 items 'needing to change'. CONCLUSION: Despite barriers, stakeholders saw merit in periodic health checks as a preventative and equitable healthcare offering for adults with intellectual and developmental disabilities. Results will inform future intervention development steps.

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)0.019
metaresearch head score (Gemma)0.027
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.248
GPT teacher head0.490
Teacher spread0.242 · 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
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

Citations3
Published2023
Admission routes2
Has abstractyes

Explore more

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