MétaCan
Menu
← Back to cohort

Post-acute care referral and inpatient rehabilitation admission criteria for persons with brain injury across two Canadian provinces

2016· article· en· W6902303304 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2016
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsReferralRehabilitationAcute careAcquired brain injuryTraumatic brain injuryHealth careAcute hospitalInjury prevention

Abstract

fetched live from OpenAlex

Purpose: Investigate health care providers’ perceptions of referral and admission criteria to brain injury inpatient rehabilitation in two Canadian provinces. Methods: Health care providers (n = 345) from brain injury programs (13 acute care and 16 rehabilitation facilities) participated in a cross-sectional web-based survey. The participants rated the likelihood of patients (traumatic brain injury and cerebral hypoxia) to be referred/admitted to rehabilitation and the influence of 19 additional factors (e.g., tracheostomy). The participants reported the perceived usefulness of referral/admission policies and assessment tools used. Results: Ninety-one percent acute care and 98% rehabilitation participants reported the person with traumatic brain injury would likely or very likely be referred/admitted to rehabilitation compared to respectively 43% and 53% for the patient with hypoxia. Two additional factors significantly decreased the likelihood of referral/admission: older age and the combined presence of minimal learning ability, memory impairment and physical aggression. Some significant inter-provincial variations in the perceived referral/admission procedure were observed. Most participants reported policies were helpful. Similar assessment tools were used in acute care and rehabilitation. Conclusions: Health care providers appear to consider various factors when making decisions regarding referral and admission to rehabilitation. Variations in the perceived likelihood of referral/admission suggest a need for standardized referral/admission practices.Implications for RehabilitationVarious patient characteristics influence clinicians’ decisions when selecting appropriate candidates for inpatient rehabilitation.In this study, acute care clinicians were less likely to refer patients that their rehabilitation counter parts would likely have admitted and a patient with hypoxic brain injury was less likely to be referred or admitted in rehabilitation than a patient with a traumatic brain injury.Such discrepancies suggest that policy-makers, managers and clinicians should work together to develop and implement more standardized referral practices and more specific admission criteria in order to ensure equitable access to brain injury rehabilitation services. Various patient characteristics influence clinicians’ decisions when selecting appropriate candidates for inpatient rehabilitation. In this study, acute care clinicians were less likely to refer patients that their rehabilitation counter parts would likely have admitted and a patient with hypoxic brain injury was less likely to be referred or admitted in rehabilitation than a patient with a traumatic brain injury. Such discrepancies suggest that policy-makers, managers and clinicians should work together to develop and implement more standardized referral practices and more specific admission criteria in order to ensure equitable access to brain injury rehabilitation services.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.085
Threshold uncertainty score0.620

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0070.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
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 head0.062
GPT teacher head0.396
Teacher spread0.334 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueFigshare→Same topicTraumatic Brain Injury Research→French-language works237,207→