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Record W2598148041 · doi:10.1089/neu.2016.4928

Traumatic Spinal Cord Injury Care in Canada: A Survey of Canadian Centers

2017· article· en· W2598148041 on OpenAlexafffundabout
Vanessa K. Noonan, Elaine Chan, Argelio Santos, Lesley Soril, Rachel Lewis, Anoushka Singh, Christiana L. Cheng, Colleen O’Connell, Catherine Truchon, Jérôme Paquet, Sean Christie, Karen Ethans, Eve C. Tsai, Michael Ford, Brian Drew, Gary Linassi, Christopher S. Bailey, Michael G. Fehlings, the RHSCIR Network

Bibliographic record

VenueJournal of Neurotrauma · 2017
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsWestern UniversityMcMaster UniversityUniversity of OttawaUniversity of SaskatchewanPraxis Spinal Cord InstituteUniversité LavalUniversity of TorontoDalhousie UniversityUniversity of Manitoba
FundersToronto Rehabilitation InstituteStrongUniversity of AlbertaRick Hansen InstituteHamilton Health Sciences
KeywordsRehabilitationMedicineAcute careHealth careMedical emergencySpinal cord injuryFamily medicinePhysical therapySpinal cordPsychiatry

Abstract

fetched live from OpenAlex

Specialized centers of care for persons sustaining a traumatic spinal cord injury (tSCI) have been established in many countries, but the ideal system of care has not been defined. The objective of this study was to describe care delivery, with a focus on structures and services, for persons with tSCI in Canada. A survey was sent to 26 facilities (12 acute, 11 rehabilitation, and three integrated) from eight provinces participating in the Access to Care and Timing project. The survey included questions about: 1) care provision; 2) structural attributes and; 3) service availability. Survey completion rate was 100%. Data sources used to complete the survey were the Rick Hansen Spinal Cord Injury Registry, other hospital databases, clinical protocols, and subject matter experts. Acute and rehabilitation care provided by integrated facilities were described separately, resulting in data from 15 acute and 14 rehabilitation facilities. The number of admissions for tSCI over a 12-month period between 2009-2011 ranged from 17 to 104 (median 39), and 11 to 96 (median 32), for acute and rehabilitation facilities, respectively. Grouping of patients was reported by 8/15 acute and 10/14 rehabilitation facilities. Criteria for admission to the inpatient rehabilitation facilities varied among facilities (25 different criteria reported). Results from the survey revealed similarities in the basic structure and the provision of general services, but also some differences in the degree of specialization of care for persons with tSCI. Continued work on the impact of specialized care for both the patient and healthcare system is needed.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.071
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.198
GPT teacher head0.419
Teacher spread0.221 · 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 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

Citations29
Published2017
Admission routes3
Has abstractyes

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