Impact of COVID-19 Public Health Restrictions on the Home Birth Trends in Alberta: An Observational Retrospective Cohort Study
Bibliographic record
Abstract
This study examined the association between public health restrictions and the point prevalence of home birth in Alberta between January 1, 2017 and December 31, 2021 using administrative health data. Monthly home birth prevalences were examined over the pre-pandemic (n = 161 225), pandemic (n = 77 563), and pandemic wave periods via interrupted time series analysis. Logistic regression modelling estimated the association between home birth and monthly averaged Government Response Stringency Index. During the pandemic, home birth prevalence increased (pre-pandemic: 24.82, P < 0.001; slope: -0.02, P = 0.332; pandemic: level change:7.51, P = 0.006; slope change: -0.40, P = 0.061). Only the first pandemic wave showed an association between Government Response Stringency Index and the probability of home birth (OR 1.17; 95% CI 1.03-1.33).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".