Perception and Attitude of Lebanese IBD Patients During the COVID-19 Pandemic
Bibliographic record
Abstract
Elio Mikhael, Yaacoub Khalife, Cesar Yaghi, Bernard Khoury, Stephanie Khazaka, Christèle Khoueiry, Karl Safar, Raymond B Sayegh, Khalil Honein, Rita Slim Department of Gastro-Enterology and Hepatology, Saint-Joseph University, Beirut, LebanonCorrespondence: Rita Slim, Department of Gastro-Enterology and Hepatology, Saint-Joseph University, Beirut, Lebanon, Email rslimkaram@hotmail.comObjective: The emergence of the COVID pandemic affected daily living and healthcare access of IBD patients, due to delays of elective procedures and in-hospital treatments. Our aim is to determine the repercussions of the pandemic on the daily habits of IBD patients and on their compliance to follow-up and treatment.Methods: This was a cross-sectional observational study. A questionnaire was administered in between 2020 and 2022 to IBD patients in a tertiary center in Lebanon. The outcomes measured were patient perceptions regarding COVID and how it affected their treatment.Results: A total of 201 answers were included in the analysis with male predominance. Two-thirds had Crohn’s disease. Near 80% were afraid of being infected by COVID-19 and 87.6% were afraid of physical contact. 91.5% reduced their daily habits and 96.0% have used personal protective equipment. 47.3% of the patients report that there are factors that reduced their worries, the most common factor being contacting their physician (61.0%). The main source of information was the treating physician (37.8%). A quarter of patients think that their condition predisposed to COVID-19 infection and about two-thirds believe that immunosuppressive therapy did so. The same amount reported concern regarding visiting the hospital. 27.4% preferred telemedicine and 44.8% preferred over-The-phone consultation to an in-person visit. Three-quarters were in favor of vaccination. 59.6% delayed their in-center treatment, which was associated with a reduction in daily life activities. 13.9% wanted to discontinue their treatment, which was associated with smoking, cardiovascular, and rheumatological comorbidities, but only 4% did so.Conclusion: The pandemic had significant repercussions on the everyday life of IBD patients, with some preferring to consult via telemedicine and others considering stopping their treatment.Keywords: inflammatory bowel disease, COVID-19, patient–provider relationship, patient adherence
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".