Improving primary care access to respirologists using eConsult
Bibliographic record
Abstract
BACKGROUND: Patients and primary care providers (PCPs) can experience frustration about poor access to specialist care. The Champlain Building Access to Specialists through eConsultation (BASETM) is a secure online platform that allows PCPs to ask a clinical question to 142 different specialty groups. The specialist is expected to respond within 7 days. METHODS: This is a retrospective review of the Champlain BASETM respirology eConsults from January 2017 to December 2018. The eConsults were categorized by types of questions asked by the referring provider and by the clinical content of the referral. Specialists' response time and time spent answering the clinical question were analyzed. Referring providers' close-out surveys were reviewed to assess the impact of the respirology eConsult service on traditional referral rates and clinical course of action. RESULTS: Of the 26 679 cases submitted to the Champlain BASE TM eConsult service, 268 were respirology cases (1%). 91% were sent by family physicians and 9% by nurse practitioners. The median time to respond by specialists was 0.8 days, and the median time billed by specialists was 20 min. The most common topics were pulmonary nodules and masses (16.4%), cough (10.4%), infective problems (8.6%), chronic obstructive pulmonary disease (8.6%) and dyspnea Not Yet Diagnosed (NYD) (7.8%). The most common types of questions asked by PCP were related to investigations warranted (43.1% of cases), general management (17.5%), monitoring (12.6%), need for a respirology referral (12.3%) and drug of choice (6.3%). In 23% of cases, the PCP indicated they were planning to refer the patient for an in-person consultation but no longer needed to after receiving the eConsult advice (avoided referrals). On the other hand, in 13% of cases, the PCP was not going to refer but did after the eConsult (prompted referrals). The eConsult led to a new or additional clinical course of action by the PCP in 49% of cases. In 51% of cases, the PCP suggested the clinical topic would be well suited to a CME event. CONCLUSIONS: Participation in eConsult services can improve timely access to respirologists while potentially avoiding clinic visits and significantly impacting referring PCPs clinical course of action. Using the most common clinical topics and types of questions for CME planning should be considered. Future research may include a cost analysis and provider perspectives on the role of eConsult in respirology care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".