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Record W2773995384 · doi:10.1097/pep.0000000000000474

Commentary on “Interrelationships of Functional Status and Health Conditions in Children With Cerebral Palsy: A Descriptive Study”

2017· letter· en· W2773995384 on OpenAlexaboutno aff
Jessica Ballesteros, Stephanie Covert

Bibliographic record

VenuePediatric Physical Therapy · 2017
Typeletter
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsCerebral palsySocioeconomic statusIntervention (counseling)Affect (linguistics)MedicineHealth carePsychologyDevelopmental psychologyClinical psychologyPhysical therapyNursingPopulationEnvironmental health

Abstract

fetched live from OpenAlex

“How should I apply this information?” This study informs practice by combining 3 classifications systems with the Child Health Conditions Questionnaire for improved screening and intervention for children with cerebral palsy. It demonstrates the inverse relationship between functional classification system levels (I-V) and associated health conditions. Interestingly, children in classification level I were more impacted by their impairments, although they had fewer than their counterparts (levels II-V). Since children with better function tend to be seen less frequently, it is important for therapists to assess all possible challenges. Controlling emotions/behaviors and pain are often overlooked, yet they negatively affect all children. The Holland Bloorview Chronic Pain Assessment Toolbox may help families better understand their child's needs and enhance dialogue with their primary care physician. Outcome measures should be comprehensive to improve care and communication with families and other disciplines. More consistent use of the 3 classification systems, and appropriate outcome measures among pediatric therapists would make epidemiological research more feasible. “What should I be mindful about when applying this information?” Although children from suburban/urban rural areas were included, there was no record of socioeconomic status. The ability of parents to comprehend and accurately answer the Child Health Conditions Questionnaire may have been influenced by their education level. Parents may be uncertain about which impairment/health condition is affecting their child, possibly leading to inaccurate responses. This study lacked information on participation and environmental factors, which can either facilitate or create barriers for mobility. Outcome measures to address these areas (eg, Participation and Environment Measure Children and Youth, Assessment of Life Habits, Canadian Occupational Performance Measure) may improve future research. Therapists should be mindful about connecting families with community resources to increase patient participation and inclusion. The consistent use of comprehensive outcome measures would help therapists educate stakeholders on the complexities of cerebral palsy and in improving the human experience for children with CP. Jessica Ballesteros, PT, DPT Los Angeles County Department of Public Health Children's Medical Services, California Children Services North Hollywood, California Stephanie Yu Covert, PT, MSPT, PCS Los Angeles County Department of Public Health Children's Medical Services, California Children Services El Monte, California

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 score0.247
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.312
Teacher spread0.264 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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