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Record W3120635818 · doi:10.9778/cmajo.20200025

A comparison of faxed referrals and eConsult questions for rheumatology referrals: a descriptive study

2021· article· en· W3120635818 on OpenAlex

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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCMAJ Open · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsOttawa HospitalQueensway-Carleton HospitalBruyèreUniversity of Ottawa
FundersOntario Ministry of Health and Long-Term Care
KeywordsMedicineRheumatologyFamily medicineInternal medicineReferralDescriptive statisticsPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: In Canada, wait times for access to specialized rheumatology services have increased, leading to new strategies to improve timely care; electronic consultations (eConsults) enable providers to ask specialists a clinical question using a secure platform, often reducing the need for a face-to-face visit. In this study, we sought to compare the types of referrals received through fax versus eConsult and to determine whether faxed referrals could be addressed using eConsult. METHODS: We conducted a descriptive study of consecutive faxed referrals sent to a tertiary care centre between Feb. 1 and Mar. 6, 2017, and a convenience sample of eConsults directed to rheumatology between Feb. 1, 2015, and Sept. 30, 2016, through the Champlain BASE eConsult Service, an Ontario-based service. We reviewed all referrals and categorized them by clinical content and question type. A rheumatologist with experience completing eConsult referrals assessed faxed referrals for their suitability to be answered through eConsults. Descriptive statistics were generated. RESULTS: We analyzed 300 consecutive faxed referrals and 300 (of 470) eConsult referrals. Faxed questions more often pertained to rheumatoid arthritis (32/300 [10.7%] v. 17/300 [5.7%]), systemic lupus erythematosus (24/300 [8.0%] v. 10/300 [3.3%]), and polyarthritis (30/300 [10.0%] v. 18/300 [6.0%]). eConsults more often addressed abnormal serology without joint symptoms (27/300 [9.0%] v. 8/300 [2.7%]) and gout (15/300 [5.0%] v. 4/300 [1.3%]). Faxed referrals were more likely to have no specific question (116/300 [38.7%]), and eConsults were more likely to have more than 1 question posed (99/300 [33.0%]) and a drug-related question (67/300 [22.3%]). The rheumatologist identified potential benefit from eConsult in 216/300 (72.0%) faxed referrals and 55/59 (93.2%) declined faxed referrals. INTERPRETATION: Despite differences in diagnosis between eConsults and faxed referrals, most faxed referrals showed the potential to be addressed through eConsult. Using eConsult may allow primary care providers to obtain answers to questions without requesting a face-to-face specialist referral, or provide support for patients awaiting face-to-face consultation.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.190
GPT teacher head0.411
Teacher spread0.220 · 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