Self-management strategies to consider to combat endometriosis symptoms during the COVID-19 pandemic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The care of patients with endometriosis has been complicated by the coronavirus disease 2019 (COVID-19) pandemic. Medical and allied healthcare appointments and surgeries are being temporarily postponed. Mandatory self-isolation has created new obstacles for individuals with endometriosis seeking pain relief and improvement in their quality of life. Anxieties may be heightened by concerns over whether endometriosis may be an underlying condition that could predispose to severe COVID-19 infection and what constitutes an appropriate indication for presentation for urgent treatment in the epidemic. Furthermore, the restrictions imposed due to COVID-19 can impose negative psychological effects, which patients with endometriosis may be more prone to already. In combination with medical therapies, or as an alternative, we encourage patients to consider self-management strategies to combat endometriosis symptoms during the COVID-19 pandemic. These self-management strategies are divided into problem-focused and emotion-focused strategies, with the former aiming to change the environment to alleviate pain, and the latter address the psychology of living with endometriosis. We put forward this guidance, which is based on evidence and expert opinion, for healthcare providers to utilize during their consultations with patients via telephone or video. Patients may also independently use this article as an educational resource. The strategies discussed are not exclusively restricted to consideration during the COVID-19 pandemic. Most have been researched before this period of time and all will continue to be a part of the biopsychological approach to endometriosis long after COVID-19 restrictions are lifted.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it