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Record W3099497489 · doi:10.1089/neu.2020.7396

Models of Care Delivery from Rehabilitation to Community for Spinal Cord Injury: A Scoping Review

2020· review· en· W3099497489 on OpenAlexafffundabout
Chester Ho, Kayla Atchison, Vanessa K. Noonan, Nicole McKenzie, Lauren Cadel, Heather Ganshorn, Joanna Marie B. Rivera, Charlene Yousefi, Sara J. T. Guilcher

Bibliographic record

VenueJournal of Neurotrauma · 2020
Typereview
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of TorontoFoothills Medical CentrePraxis Spinal Cord InstituteUniversity of CalgaryUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsMultidisciplinary approachHealth careSpinal cord injuryRehabilitationMedicineOutreachNursingSpecialtyContinuum of careFamily medicinePhysical therapySpinal cord

Abstract

fetched live from OpenAlex

Spinal cord injury (SCI) is a chronic condition that results in high healthcare utilization and lifetime cost across the care continuum. In the absence of a standardized model of care delivery for SCI in western countries such as Canada, a scoping review of the literature was performed to identify and summarize existing international SCI models of care delivery. Four databases were searched using key words and subject headings for concepts such as: "spinal cord injury," "delivery of healthcare," "model of care," "patient care planning," and "care pathway." Title, abstract, and full text review were competed by two independent reviewers. A combined total of 46 peer-reviewed and gray literature articles were included. No single SCI model of care has been adopted across different countries internationally. However, optimal attributes of models of care were identified, including the importance of having multidisciplinary SCI specialty care providers along the continuum, provision of rural SCI services and outreach, integration of primary care, peer mentoring, and using a hub and spokes model of care. These findings inform the future development of an SCI model of care, which ideally would serve all geographical locations and span the continuum of care, improving the health status and quality of life of persons with SCI.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.697
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.387
GPT teacher head0.537
Teacher spread0.149 · 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.

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

Citations41
Published2020
Admission routes3
Has abstractyes

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