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Record W2913155621 · doi:10.2106/jbjs.18.00423

The Use of a Self-Administered Questionnaire to Reduce Consultation Wait Times for Potential Elective Lumbar Spinal Surgical Candidates

2018· article· en· W2913155621 on OpenAlex
Matthew J. Coyle, Darren M. Roffey, Philippe Phan, Stephen Kingwell, Eugene K. Wai

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineInterquartile rangeReferralPhysical therapyRandomized controlled trialLumbarHealth careDemographicsSurgeryFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: In a public health-care system, patients often experience lengthy wait times to see a spine surgeon for consultation, and most patients are found not to be surgical candidates, thereby prolonging the wait time for those who are. The aim of this study was to evaluate whether a self-administered 3-item questionnaire (3IQ) could reprioritize consultation appointments and reduce wait times for lumbar spinal surgical candidates. METHODS: This prospective, pragmatic, blinded, randomized controlled quality improvement study was conducted at a single Canadian academic health-care center. This study enrolled 227 consecutive eligible participants with an elective lumbar condition who were referred for consultation with a spine surgeon. All participants were mailed the 3IQ after their referral was received. Patients were randomized into the intervention group, in which leg-dominant pain reported on the 3IQ resulted in an upgrade in priority to be seen, or into the control group, in which no change to wait-list priority occurred. The main outcome measured was time to consultation for participants who were deemed surgical candidates following consultation. RESULTS: There were no significant differences between groups with regard to demographics, overall group wait times, proportion of surgical candidates, or disability. A total of 33 patients were deemed surgical candidates after consultation. The median wait from referral to consultation was shorter for the 16 surgical candidates in the intervention group (2.5 months; interquartile range [IQR]: 2.0 to 4.8 months) compared with the 17 surgical candidates in the control group (4.5 months; IQR: 3.4 to 6.9 months; p = 0.090). The odds of seeing a surgical candidate within the acceptable time frame of 3 months were 5.4 times greater (95% confidence interval: 1.2 to 24.5 times; p = 0.024) in the intervention group. CONCLUSIONS: The use of a simple, self-administered questionnaire to reprioritize referrals resulted in shorter consultation wait times for patients who required a surgical procedure and significantly increased the number of surgical candidates seen within the acceptable time frame. It may be valuable to consider adding the 3IQ to clinical care practices to better triage these patients on waiting lists.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.255

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.277
Teacher spread0.239 · 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