MétaCan
Menu
Back to cohort
Record W2412855508 · doi:10.1111/jar.12261

Stakeholders’ Perspectives towards the Use of the Comprehensive Health Assessment Program (<scp>CHAP</scp>) for Adults with Intellectual Disabilities in Manitoba

2016· article· en· W2412855508 on OpenAlex
Shahin Shooshtari, Beverley Temple, Celeste Waldman, Sneha Abraham, Hélène Ouellette‐Kuntz, Nicholas Lennox

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2016
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversity of ManitobaQueen's UniversityHealth Sciences CentreManitoba Health
FundersCanadian Institutes of Health Research
KeywordsPsychologyIntellectual disabilityNursingHealth careSample (material)Focus groupQualitative researchMedical educationMedicinePsychiatryBusinessPolitical scienceSociology

Abstract

fetched live from OpenAlex

BACKGROUND: No standardized tool is used in Canada for comprehensive health assessments of adults with intellectual disabilities. This study was conducted to determine the feasibility of implementing the Comprehensive Health Assessment Program (CHAP) in Manitoba, Canada. METHOD: This was a qualitative study using a purposive sample of physicians, nurse practitioners, support workers and families. Data were collected through individual interviews and focus groups and were analysed using content analysis. RESULTS: Use of the CHAP was perceived as beneficial for persons with intellectual disabilities. Improved continuity of care was of the reported benefits. Six barriers for the future implementation of the CHAP were identified including the time required to complete the CHAP, and the perceived lack of physicians' willingness to do comprehensive assessments. CONCLUSION: The future implementation of the CHAP was strongly supported. For its successful implementation, training of healthcare professionals and support staff and change in regulations and policies were 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.

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)0.004
metaresearch head score (Gemma)0.049
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.049
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.008
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.391
GPT teacher head0.421
Teacher spread0.031 · 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