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Record W2059690040 · doi:10.3109/01942638.2014.925028

Balancing Hope and Realism in Family-Centered Care: Physical Therapists’ Dilemmas in Negotiating Walking Goals with Parents of Children with Cerebral Palsy

2014· article· en· W2059690040 on OpenAlexafffund
Kristin LeRoy, Kelly Boyd, Katrine De Asis, Rachel W. T. Lee, Rachel Martin, Gail Teachman, Barbara E. Gibson

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2014
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsCerebral palsyPsychologyNegotiationFamily centered careRehabilitationQualitative researchValue (mathematics)NursingPsychotherapistMedicineHealth carePsychiatry

Abstract

fetched live from OpenAlex

ABSTRACT The aims of this study were to explore physical therapists' beliefs about the value of walking for children with cerebral palsy (CP), how these beliefs inform therapy choices, and to describe how physical therapists engage families in decision-making regarding walking goals. Eight physical therapists who had experience working with children with CP each participated in a qualitative, one-to-one interview exploring their walking-related values, beliefs, and decision-making practices. The physical therapists' accounts demonstrated that they balanced their beliefs and professional expertise with families' goals in order to preserve families' hopes and maintain rapport, while also ensuring evidence-based and efficacious treatment plans were implemented. Participants experienced internal conflict when attempting to balance the principles of family-centered care with their personal beliefs and expertise. Further research will augment these findings and contribute to ongoing debates regarding rehabilitation best practices and family-centered care.

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)0.037
metaresearch head score (Gemma)0.049
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 score0.037
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.049
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0130.028
Scholarly communication0.0070.006
Open science0.0020.007
Research integrity0.0030.006
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 head0.016
GPT teacher head0.282
Teacher spread0.265 · 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

Citations7
Published2014
Admission routes2
Has abstractyes

Explore more

Same venuePhysical & Occupational Therapy In PediatricsSame topicCerebral Palsy and Movement DisordersFrench-language works237,207