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Record W2131977380 · doi:10.3109/02703181.2014.934942

What is the Evidence and Context for Implementing Family-Centered Care for Older Adults?

2014· article· en· W2131977380 on OpenAlexaff
Grace Warner, Robin Stadnyk

Bibliographic record

VenuePhysical & Occupational Therapy In Geriatrics · 2014
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsDalhousie University
Fundersnot available
KeywordsContext (archaeology)Scope (computer science)NursingHealth careMedicineEvidence-based practiceAction planKnowledge translationAction (physics)Family centered carePsychologyMedical educationKnowledge managementAlternative medicine

Abstract

fetched live from OpenAlex

Aims: This project used the Promoting Action on Research Implementation in Health Services (PARIHS) knowledge translation framework to better understand the evidence and context for implementing family-centered care for older adults in rural home-based rehabilitative practices. Methods: A case-study design with multiple data collection methods was used to examine rural home-based rehabilitative care for older adults and their caregivers within one provincial healthcare system. Results: The study findings indicated therapists questioned whether their scope of practice should include addressing caregiver needs outside of implementing the therapist's care plan for the client. Therapists also confirmed that multiple contextual levels influence the provision of family-centered care. Conclusions: The PARIHS framework made it easier for the academic and non-academic partners to collaborate; furthermore, the framework identified that the practitioner's clinical experience is an essential component to evaluating and implementing evidence into practice.

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)0.143
metaresearch head score (Gemma)0.349
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.143
Threshold uncertainty score0.758

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1430.349
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.004
Science and technology studies0.0040.008
Scholarly communication0.0140.011
Open science0.0040.007
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.100
GPT teacher head0.444
Teacher spread0.344 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations6
Published2014
Admission routes1
Has abstractyes

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