Key concerns among pregnant individuals during the pandemic
Bibliographic record
Abstract
Objective To determine common sources of concern among pregnant individuals during the coronavirus disease 2019 (COVID-19) pandemic. Design A cross-sectional, open, online electronic survey from May 9, 2020, to June 14, 2020. Setting Electronic survey open internationally and advertised through Canadian-based social media platforms. Participants Eligible participants understood English and had been pregnant during the COVID-19 pandemic (ie, were pregnant at the time of survey completion or had delivered an infant on or after March 11, 2020). Main outcome measures Potential sources of concern related to the pandemic, calculated as the proportion of participants who endorsed each concern among those for whom the concern was relevant. Differences in the proportion of individuals endorsing each concern were compared by parity using modified Poisson regression. Frequency of concerns was examined in terms of level of distress, as per the Kessler Psychological Distress Scale (K6), using multivariable linear regression. Results Out of 1477 participants, 87.3% were Canadian. Top concerns included the following: hospital policies related to support persons during labour (80.9%), not being able to introduce the baby to family and friends (80.1%), and developing COVID-19 while pregnant (79.2%). Primiparous participants were more likely than multiparous participants to be concerned about accessing in-person prenatal classes (51.5% vs 13.3%; relative risk = 3.88; 95% CI 2.02 to 4.98) and cancellation of hospital tours (35.0% vs 5.6%, relative risk = 6.26; 95% CI 4.25 to 9.20), among other concerns. The mean (SD) K6 score was 6.7 (3.8) within the moderate to high distress range. Number of concerns reported was associated with K6 score in both primiparous (β = 0.24; 95% CI 0.20 to 0.29; P < .0001) and multiparous (β = 0.30; 95% CI 0.24 to 0.36; P < .0001) individuals. Conclusion Pregnant individuals have unique concerns during the COVID-19 pandemic and the findings indicate the importance of targeted support strategies to meet the particular needs of both primiparous and multiparous pregnant individuals.
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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 | 0.007 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".