Endometriosis Clinical and Surgical Care During the COVID-19 Pandemic: A Comparison of Virtual-Only Care to Virtual and In-Person Care Combined
Bibliographic record
Abstract
OBJECTIVE: Endometriosis is a chronic and inflammatory condition that affects approximately 10% of the reproductive-age population. During the COVID-19 pandemic, there was a shift towards virtual care for endometriosis. Our aim was to evaluate the diagnostic and treatment outcomes of virtual-only care, compared to those who had both virtual and in-person visits. DESIGN: Retrospective descriptive analysis of registry data. SETTING: This study was conducted in British Columbia, Canada, at a tertiary referral center for endometriosis and pelvic pain. PATIENTS: In this cohort (n = 389), we examined patients who received an initial virtual assessment followed by virtual care alone (Virtual Only group, n = 203) and those who had an initial virtual assessment followed by an in-person physical exam (Physical Exam group, n = 186). INTERVENTIONS: Virtual care at the center during the COVID-19 pandemic. MAIN RESULTS: The Physical Exam group was more likely to have surgery compared to the Virtual Only group (45.7% vs. 16%, p <.001). At the time of surgery, the groups did not differ based on type of surgery (e.g., excision of endometriosis and/or hysterectomy), endometriosis anatomic findings (e.g., stage and anatomic subtype), surgical complexity or surgical complications. At baseline, the two groups did not differ in their pain, mental health or quality of life scores. At 1-year follow-up, the two groups did not differ in these outcome measures. CONCLUSION: There was a lower rate of surgery, but no differences in surgical findings or complications, nor in 1-year outcomes, after virtual only care for endometriosis compared to patients that had a virtual visit and then underwent a physical exam. These results support a hybrid model, where a virtual visit is the first contact and serves as a triage tool to determine whether a patient is appropriate for virtual only care or would benefit from a physical exam. Future research could incorporate population-based administrative data or qualitative approaches to understanding patient experiences and physician perspectives on virtual care for the treatment of endometriosis.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".