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Record W2315085847 · doi:10.1097/pep.0b013e318228e46f

Commentary on “Clinical Decision Making Regarding Intervention Needs of Infants With Torticollis”

2011· letter· en· W2315085847 on OpenAlexaboutno aff
Kimberly Harbst, Tanya Grabinski

Bibliographic record

VenuePediatric Physical Therapy · 2011
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCraniofacial Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionIntervention (counseling)PsychologyPerceptionAnxietyHealth careCoping (psychology)Mental healthClinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

“How should I apply this information?” This study identified factors affecting pediatricians' and physical therapists' decision making for infants with torticollis. There was strong support for the need for intervention in infants with torticollis, but little knowledge about pediatricians' or physical therapists' decisions regarding appropriate interventions. Therapists must be mindful of factors influencing these decisions to assure objective assessment, program planning, and intervention revision. The factors were mapped using the International Classification of Functioning, Disability and Health-Children and Youth (ICF-CY). Physical therapists identified 21 determinants of clinical decision making including parent's awareness and understanding of the problem, parent's ability to perform exercises, parental anxiety, parental motivation, parental coping strategies, parent-child interaction, parent's mental state, parental fear of moving their baby, parents' capacity to collaborate with physical therapy, and family network. Factors attributed to the infant included age, personality, response to exercises, birth complications, and associated health conditions. It seems important for physical therapists to gather information from parents regarding environmental factors when determining the plan of care. Finally, a subset of factors regarding health professionals' personal attitudes/preferences and availability of services was influential in determining intervention. Physical therapists' experience and role perception, as well as other health professionals' attitudes, were influential highlighting the importance of therapists being aware of individual biases brought to the clinical decision-making process. “What should I be mindful about in applying this information?” Physicians and physical therapists identified similar factors, but pediatricians' perspectives were restricted to fewer factors. Among ICF-CY domains, all identified activities and participation factors and many of the body structures and body functions factors had been previously reported. However, sensory integration, alertness, primitive reflexes, tone, and weak suck had not been previously identified but were influential in this study. To date, little attention has been given to environmental factors. In addition, therapists should note that differences in health care management and payment structure may have affected these Canadian clinicians' decisions differently than those made by physical therapists in the United States. Kimberly Harbst PT, PhD University of Wisconsin-LaCrosse LaCrosse, Wisconsin Tanya Grabinski, PT, MHS, PCS University of Wisconsin-LaCrosse LaCrosse, Wisconsin

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.909

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 studies0.0000.000
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 head0.023
GPT teacher head0.323
Teacher spread0.300 · 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 designNot applicable
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
Published2011
Admission routes1
Has abstractyes

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