Improving access to allied health professionals through the Champlain BASE<sup>™</sup>eConsult service: a cross-sectional study in Canada
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Allied health services are an important part of providing effective team-based care. The Champlain BASE™ (Building Access to Specialists through eConsultation) eConsult service facilitates quick and secure communication between primary care providers (PCPs) and allied health professionals (AHPs). AIM: To assess the eConsult service's ability to improve access to advice from AHPs. DESIGN AND SETTING: A cross-sectional study was carried out on all cases submitted to AHPs through the eConsult service between April 2011 and May 2016. The service covers Ottawa, Canada, and its surrounding rural communities. METHOD: A descriptive overview of all cases submitted to allied health services was conducted. Utilisation and survey metrics for AHP eConsults were compared with those sent to medical specialties, in order to understand the potential differences and generalisability of eConsult access beyond the traditional medical specialty referral. RESULTS: PCPs submitted 127 cases to nine allied health specialties during the study period. The most popular specialty was clinical pharmacist, which received an average of 1.5 cases per month. The median specialist response time was 2.1 days (interquartile range [IQR] 0.7-5.3 days, range 0.01-14.2 days) versus 0.9 days (IQR 0.2-3.4 days, range 0-49.5 days) for medical specialties. PCPs received advice for a new or additional course of action in 70% (versus 58% for medical specialties) of cases. They rated the service as being of high or very high value for their patients in 88% of cases (versus 93% for medical specialties), and for themselves in 89% (94% for medical specialties) of cases. CONCLUSION: The eConsult service has demonstrated the ability to support prompt communication between PCPs and AHPs, improving patients' access to AHP care. Given the importance of AHPs in providing primary care, allied health services should be offered in the menu of specialties available through electronic consultation services.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it