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Record W2587185298 · doi:10.1093/pch/14.suppl_a.18ab

Content Comparison of Health Related Quality of Life Measures for Cerebral Palsy Based on the International Classification of Functioning Children and Youth Version (Icf-Cy)

2009· article· en· W2587185298 on OpenAlexaboutno aff
Verónica Schiariti, Nora Fayed, Alarcos Cieza, Anne F. Klassen, Maureen O’Donnell

Bibliographic record

VenuePaediatrics & Child Health · 2009
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsInternational Classification of Functioning, Disability and HealthCerebral palsyQuality of life (healthcare)Health related quality of lifePhysical medicine and rehabilitationMedicinePsychologyPhysical therapyRehabilitationNursingPathology

Abstract

fetched live from OpenAlex

alberta children's hospital, calgary, alberta In Canada the estimated prevalence of developmental disabilities in young children ranges between 12% and 17%.Severe developmental problems are often identified early and appropriately.However, more subtle cognitive, motor, and behavioural problems that can have significant impact on a person's life are often under-identified before school age, and the delay in service Results in children and families not benefiting from early intervention.Primary care physicians are in routine contact with young children and their families so they have a uniquely important role in early detection of children with developmental and behavioural problems.Because little is known about developmental-behavioural primary care screening practices in Canada, the objective of this pilot survey was to gather preliminary information from Calgary physicians about their practices and opinions.The broad themes of the survey were methods, tools and barriers associated with developmental screening and surveillance.Three hundred community physicians (200 family physicians and 100 pediatricians) in the Calgary Health Region received a self administered, 66 item, paper and pencil questionnaire, adapted from Sices, et al. (2003).Questions included demographic information about physicians' gender, age and years of practice.All other responses were Likert scaled.Descriptive analyses revealed trends regarding the major themes.Response rate was 24%.Responding Calgary physicians were unlikely to use published questionnaires or formal screening instruments when screening for problems.The majority of physicians were more likely to prompt parents for concerns and to use developmental milestones.However, physicians also indicated that they did not believe parents' concerns are a good substitute for formal developmental screening.Physicians identified barriers such as lack of time and adequate reimbursement and lack of intervention resources.Almost all responding physicians indicated that screening should begin early and should be repeated until three years of age.Most responding physicians had not been formally trained in early developmental-behavioural screening.Although evidence suggests that formal and standardized developmental screening is an effective way to identify children with developmental problems, common challenges persist in changing practice in primary care.Calgary physicians, like others elsewhere, continue to rely on insensitive screening methods such as developmental milestones and clinical impressions.The implications for practice are that if physicians are to take responsibility for developmental surveillance they will need formal training through professional development, or through their resident training programs, about current and valid tools for screening. do childreN With coMPleX disaBilities BeNefit froM cochlear iMPlaNtatioN?

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.553
Threshold uncertainty score0.899

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.099
GPT teacher head0.324
Teacher spread0.225 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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