The psychological impact of the COVID-19 pandemic on fertility care: a qualitative systematic review
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
2021. Citing articles were also hand-searched using Scopus. Of the 296 original citations, we included fifteen studies that encompassed 5,851 patients seeking fertility care. Eleven studies only included female participants, while four included both male and female participants. The fifteen studies unanimously concluded that the COVID-19 pandemic caused negative psychological impacts on fertility care. Risk factors included female sex, single marital state, previous ART failure, prior diagnoses of anxiety or depression, and length of time trying to conceive. Specific concerns included the worry and frustration of clinic closure, concerns about pregnancy and COVID-19 infection, and advancing age. There were contrasting beliefs on whether the decision to stop fertility treatments during the COVID-19 pandemic was justified. In addition, we found that many patients preferred to resume fertility treatment, despite anxieties regarding the risk of the COVID-19 virus. We recommend that fertility providers screen patients for risk factors for poor mental health and tailor support for virtual care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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