A82 DELIVERY OF AMBULATORY CARE DURING THE COVID-19 PANDEMIC IN THE DIVISION OF DIGESTIVE CARE & ENDOSCOPY, HALIFAX, NS
Bibliographic record
Abstract
Abstract Background The COVID-19 pandemic has placed the Canadian healthcare system under substantial strain requiring rapid and systemic changes to healthcare delivery in gastroenterology ambulatory care, including a shift to providing synchronous clinical visits virtually. It is important to describe and evaluate the impact of this care delivery change on patients, providers and the healthcare system in order to improve the quality of virtual care in the future. Aims As part of a larger quality improvement initiative, the aim of this project was to better understand the health system impact of the shift from in-person to virtual care delivery in the Division of Digestive Care & Endoscopy in Halifax, NS. Methods Using a before-and-after observational study design, outpatient encounters from January-March 2020 (Pre-COVID) were compared to encounters after the pandemic restrictions began April-June 2020 (COVID-Impacted). The primary objective was to compare the proportion of synchronous clinic encounters in the gastroenterology ambulatory space conducted virtually before versus after pandemic restrictions were implemented. Secondary objectives were to determine whether patient, disease, or provider-specific factors were associated with virtual care visits or changed with the implementation of pandemic restrictions. Endoscopic encounters were excluded. Descriptive statistics were used to compare patient and encounter characteristics in the Pre-COVID and COVID-Impacted periods. Multiple logistic regression modeling was used to evaluate the association between patient and provider characteristics and use of virtual care delivery. Unadjusted and adjusted odds ratio with associated 95% CI were estimated. Results A total of 4,923 unique patients (60.1% Pre-COVID and 39.9% in the COVID-Impacted period) and 6,659 encounters were identified. The proportion of synchronous clinical visits conducted virtually increased after February 2020, increasing from 25% (Pre-COVID) to 91% (COVID-Impacted). The Pre-COVID versus COVID-Impacted periods also differed with respect to median patient age (56 vs. 59, P = 0.000), mean proximity to the hospital (40km vs. 48km, P = 0.007) and proportion of new consults deemed urgent (9.8% vs. 20.0%, P = 0.000). Patients with family physicians, return visits, and patient age greater than 65 years were associated with the use of synchronous virtual care visits. Conclusions This project details the abrupt and significant disruption in in-person ambulatory, non-endoscopic digestive care and the dramatic uptake in virtual care delivery as a result of COVID-19 restrictions in Halifax, NS. Future research will explore virtual care use as pandemic restrictions ease to inform how virtual care is integrated into post-pandemic practice to guide new standards of care. Funding Agencies None
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".