S871 Patient Satisfaction With and Access to Virtual Healthcare for Inflammatory Bowel Disease During the COVID-19 Pandemic
Bibliographic record
Abstract
Introduction: Onset of the COVID-19 pandemic triggered changes to healthcare delivery from in-person to virtual visits. The study objective is to understand how the COVID-19 pandemic impacted healthcare for patients with inflammatory bowel disease (IBD). Methods: An online survey using closed- and open-ended questions was conducted in English and French among Canadian adults ( >18 years) with IBD (Crohn’s disease, ulcerative colitis, IBD-unclassified). Survey questions were specific to patient experiences receiving healthcare for IBD during the COVID-19 pandemic. Descriptive statistics, frequency tabulations and qualitative analysis were used to analyze data. Results: Preliminary analysis of 158 respondents (mean age 34.3 (sd 10.3), 87% female, 52% university degree or higher, 90% white) show that 44% received all IBD care virtually, 4% received all care in-person, 51% used both modalities and 2% did not receive care during the pandemic. Of those that received virtual care, 38% were totally satisfied, 51% were somewhat satisfied, and 11% were not satisfied with the care received. Virtual visits were done mostly using phone calls. Respondents classified access to healthcare providers during the pandemic as easier (14%), about the same (61%) or more difficult (25%) compared to before the pandemic. Virtual visits were a good option for follow-up visits and simple checkups as respondents indicated they were safe, timely and convenient and avoided travel and parking costs. Some respondents felt listened to but others felt rushed, dismissed and in need of a physical examination. For patients starting with a new doctor, virtual visits left them feeling disconnected. When the doctor missed the virtual visit, respondents expressed difficulties rescheduling the appointment. Going forward, respondents want to continue having options for: virtual visits by either phone and videoconferencing; online access to test results and scheduling of appointments; email communication with the nurse/doctor; and faxing prescriptions to the pharmacy. Conclusion: During the pandemic, most respondents had received some of their IBD healthcare virtually and were satisfied with the care received. The majority reported having about the same access to their IBD healthcare providers as before the pandemic. Despite needing to improve some virtual services such the rescheduling of missed virtual visits, nearly all survey respondents wanted virtual health care to continue into the future.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".