Experiences of Canadian perinatal care during the COVID-19 pandemic: Analysis of open-ended survey responses
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic caused significant socioeconomic and healthcare disruptions in Canada. COVID-19 healthcare policies and local infection rates varied considerably across Canada's geographically diverse, multijurisdictional healthcare system. Emergence of highly transmissible COVID-19 variants and widespread COVID-19 vaccination mandates in Fall 2021 further impacted life in Canada. The experiences of pregnant people, in particular, were challenged by COVID-19 outbreaks, Canadian hospital policies, and local public health restrictions. OBJECTIVE: This study explored experiences of Canadian perinatal care in the context of the COVID-19 pandemic. DESIGN: Online, cross-sectional survey with qualitative analysis. METHODS: Individuals pregnant after January 1, 2020 who received perinatal care in Canada participated in our Pandemic Pregnancy Experiences eSurvey, September 1, 2021 to February 1, 2022. Open-ended survey responses were qualitatively evaluated by thematic and content analysis. Codes were identified both deductively and inductively, categorized using principles of woman-centered care, and developed into major and minor themes. RESULTS: Prenatal care and COVID-19 vaccination experiences were evaluated from 362 participants, with 234 participants also elaborating on their labor and delivery (L&D) care. Major themes organized by woman-centered care category as follows: Choice of Healthcare Provider (good quality healthcare provider, barriers to provider of choice), Autonomy-Healthcare (autonomy empowered, autonomy impacted), Choice of Delivery Place (wanted hospital birth, got hospital birth), Choice of Support Companion(s) (no support companion for prenatal appointments, hospital restrictions L&D support companion(s)), and, Autonomy-COVID-19 Vaccination (vaccinated while pregnant/breastfeeding). CONCLUSIONS: Pregnancy and birth experiences were generally positive; however, both COVID-19 and existing constraints of provincial/territorial healthcare systems impacted Canadian perinatal experiences. Limited choice of healthcare provider type and access to prenatal and L&D support companion(s) affected perinatal care satisfaction.
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How this classification was reachedexpand
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".