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Parent views on enhancing the quality of health care for their children with fragile X syndrome, autism or Down syndrome

2009· article· en· W2069614780 on OpenAlexaffabout
Patricia Minnes, Karin Šteiner

Bibliographic record

VenueChild Care Health and Development · 2009
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsQueen's University
Fundersnot available
KeywordsFocus groupAutismHealth careNegotiationIntellectual disabilityPerceptionService (business)Down syndromeMedicinePsychologyNursingFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: International research in recent years has begun to focus on the medical problems of individuals with intellectual disabilities and on family stress in accessing health services for persons with developmental disabilities. Less is known about the needs of individuals in different diagnostic groups, or about their experiences of systems of care. Therefore, we report the results of focus groups with parents of children or adults with fragile X syndrome, autism or Down syndrome. METHODS: Semi-structured group interviews with parents of children, youth or adults from each of three diagnostic groups probed perceptions of challenges and successes in obtaining and negotiating healthcare services in Ontario, Canada. RESULTS: Parents described diverse barriers to care, the need for advocacy in securing services, perceptions of service delivery and the role of healthcare professionals in regulating access to a wide range of services. Diagnostic services represented one area of central concern to parents from all three groups. DISCUSSION: Focus group data yielded a wide range of concerns. Suggestions for enhancing the system included expanding syndrome-specific education for medical students and health professionals and creating a centre that could offer service-related information for parents.

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)0.007
metaresearch head score (Gemma)0.013
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.074
GPT teacher head0.379
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 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

Citations98
Published2009
Admission routes2
Has abstractyes

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