1241-P: Cross-Sectional Study of the Impact of the COVID-Pandemic on Diabetes Management in Primary Care in Ontario, Canada
Bibliographic record
Abstract
Background: This study describes the impact of the pandemic on the management of people with type 2 diabetes (PwT2D) in a primary care network with existing virtual care capabilities in Ontario, Canada. Methods: Using de-identified primary care electronic medical records, PwT2D who had at least one healthcare touchpoint between March 1, 2018 and February 28, 2021 were analyzed by time period (baseline: 2018-19, pre-COVID-19: 2019-20, COVID-19: 2020-21) . The primary outcome measures include the number of people with at least one visit, number of people with vital measurements or lab tests, and the vital or lab results. Results: The three time periods had a similar average age and gender distribution (Table 1) . Compared to the pre-COVID-period, fewer people had any healthcare touchpoint (17% reduction) . In-person visits were reduced while more people had virtual visits. Fewer people had test results recorded during the COVID-vs. two pre-COVID-time periods, however, average results were similar across all three time periods. Conclusion: Our study described the immediate impact of the COVID-pandemic on patterns of primary care for PwT2D. While the total number people getting tests remains below pre-pandemic levels, of those who sought care, the mean A1c, LDL-c and eGFR were comparable across the three time periods. Disclosure A.Y.Cheng: Advisory Panel; Abbott, AstraZeneca, Bayer AG, Boehringer Ingelheim International GmbH, Dexcom, Inc., Eli Lilly and Company, HLS Theraoeutics, Insulet Corporation, Janssen Pharmaceuticals, Inc., Medtronic, Novo Nordisk, Sanofi, Board Member; Type 1 Diabetes Think Tank Network, Other Relationship; Diabetes Canada, Speaker's Bureau; Bausch Health, Canada, Merck & Co., Inc. S.B.Harris: Consultant; Abbott, AstraZeneca, Eli Lilly and Company, Novo Nordisk, Sanofi, Other Relationship; Abbott, AstraZeneca, Bayer Inc., Dexcom, Eli Lilly and Company, HLS Therapeutics, Janssen Pharmaceuticals, Inc., Novo Nordisk, Sanofi, Research Support; Applied Therapeutics Inc., AstraZeneca, Canadian Institutes of Health Research, Juvenile Diabetes Research Foundation (JDRF) , Novo Nordisk, Sanofi, The Lawson Foundation. I.E.Krawchenko: Speaker's Bureau; Janssen Pharmaceuticals, Inc. R.Tytus: Other Relationship; Banty , Boehringer Ingelheim International GmbH, Canadian Health Research Company, Merck & Co., Inc., Novo Nordisk, Pfizer Inc. J.Hahn: Employee; Novo Nordisk Canada Inc. A.R.Liu: Employee; Novo Nordisk A/S, Novo Nordisk Canada Inc. Y.Wang: Other Relationship; Novo Nordisk Canada Inc. S.Golden: Other Relationship; Novo Nordisk Canada Inc. R.Goldenberg: Consultant; IQVIA Inc., Speaker's Bureau; Amgen Canada, AstraZeneca, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Janssen Pharmaceuticals, Inc., Merck & Co., Inc., Novo Nordisk Canada Inc., Sanofi.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".