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Record W2559212941 · doi:10.1097/phm.0000000000000659

Costs and Length of Stay for the Acute Care of Patients with Motor-Complete Spinal Cord Injury Following Cervical Trauma

2016· article· en· W2559212941 on OpenAlexaboutno aff
Andréane Richard‐Denis, Debbie Ehrmann Feldman, Cynthia Thompson, Étienne Bourassa-Moreau, Jean‐Marc Mac‐Thiong

Bibliographic record

VenueAmerican Journal of Physical Medicine & Rehabilitation · 2016
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTetraplegiaTrauma centerSpinal cord injuryRetrospective cohort studyPhysical therapyReferralLogistic regressionEmergency medicineAcute careSpinal cordHealth careSurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Acute spinal cord injury (SCI) centers aim to optimize outcome following SCI. However, there is no timeframe to transfer patients from regional to SCI centers in order to promote cost-efficiency of acute care. Our objective was to compare costs and length of stay (LOS) following early and late transfer to the SCI center. DESIGN: A retrospective cohort study involving 116 individuals was conducted. Group 1 (n = 87) was managed in an SCI center promptly after the trauma, whereas group 2 (n = 29) was transferred to the SCI center only after surgery. Direct comparison and multivariate linear regression analyses were used to assess the relationship between costs, LOS, and timing to transfer to the SCI center. RESULTS: Length of stay was significantly longer for group 2 (median, 93.0 days) as compared with group 1 (median, 40.0 days; P < 10), and average costs were also higher (median, Canadian $17,920.0 vs. $10,521.6; P = 0.004) for group 2, despite similar characteristics. Late transfer to the SCI center was the main predictive factor of longer LOS and increased costs. CONCLUSIONS: Early admission to the SCI center was associated with shorter LOS and lower costs for patients sustaining tetraplegia. Early referral to an SCI center before surgery could lower the financial burden for the health care system. TO CLAIM CME CREDITS: Complete the self-assessment activity and evaluation online at http://www.physiatry.org/JournalCME CME OBJECTIVES: Upon completion of this article, the reader should be able to: (1) Determine the optimal timing for transfer of individuals with cervical traumatic spinal cord injury (SCI) in order to decrease acute care resource utilization; (2) Determine benefits of a complete perioperative management in a specialized SCI center; and (3) Identify factors that may influence resource utilization for acute care following motor-complete tetraplegia. LEVEL: Advanced ACCREDITATION: The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.The Association of Academic Physiatrists designates this activity for a maximum of 1.5 AMA PRA Category 1 Credit(s)™. Physicians should only claim credit commensurate with the extent of their participation in the activity.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.362
Teacher spread0.346 · 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

Citations28
Published2016
Admission routes1
Has abstractyes

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