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Record W2147559725 · doi:10.1080/00222930500218946

Use of health care among adults with chronic and complex physical disabilities of childhood

2005· article· en· W2147559725 on OpenAlexafffundabout
Nancy L. Young, Catherine Steele, Darcy Fehlings, Jeffrey W. Jutai, Nancy Olmsted, Ivan J. Williams

Bibliographic record

VenueDisability and Rehabilitation · 2005
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsToronto Rehabilitation InstituteWestern UniversityInstitute for Clinical Evaluative SciencesUniversity of TorontoSickKids FoundationHospital for Sick Children
FundersAdministration for Community LivingInstitute for Clinical Evaluative Sciences
KeywordsSpina bifidaCerebral palsyPhysical disabilityMedicineAcquired brain injuryPsychologyRehabilitationPhysical medicine and rehabilitationPhysical therapyGerontologyDevelopmental psychologyPediatrics

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this study was to explore the patterns of health services utilization among adults with chronic and complex physical disabilities of childhood, specifically cerebral palsy, spina bifida, and acquired brain injuries.METHODS. A cohort of 345 young adults who had graduated from the Bloorview MacMillan Children's Centre was identified. Their health care records were extracted from Ontario Health Insurance Plan (OHIP) and Canadian Institute for Health Information (CIHI) databases, for a four-year period. These data were analysed to estimate the frequency of out-patient physician visits and admissions to hospital.RESULTS. The mean age of the sample was 21.9 years (range 19.0-26.9 years). The results show that 95% of the sample visited a physician at least once per year, and 24% had a primary care physician. On average, these adults visited physicians 11.5 times per year (approximately once per month) and were admitted to hospital once every 6.8 years.CONCLUSIONS. These results suggest that adults with complex physical disabling conditions from childhood have ongoing health issues that require frequent service. Their admission rate is 9.0 times that of the general population, and few have a primary care physician. A new model of service may be necessary for this high-needs group.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.587

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.370
Teacher spread0.332 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations77
Published2005
Admission routes3
Has abstractyes

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