Strategies to support maternal and early childhood wellness: insight from parent and provider qualitative interviews during the COVID-19 pandemic
Bibliographic record
Abstract
OBJECTIVES: The COVID-19 pandemic resulted in rapid changes to the delivery of maternal and newborn care. Our aim was to gain an understanding from parents and healthcare professionals (HCPs) of how the pandemic and associated public health restrictions impacted the peripartum and postpartum experience, as well as longer-term health and well-being of families. DESIGN: Qualitative study through focus groups. SETTING: Ontario, Canada. PARTICIPANTS: HCPs and parents who had a child born during the COVID-19 pandemic. INTERVENTIONS: Semistructured interview guide, with questions focused on how the pandemic impacted their care/their ability to provide care, and strategies to improve care and support now or in future situations with similar healthcare restrictions. OUTCOME MEASURES: Thematic analysis was used to describe participant experiences and recommendations. RESULTS: We included 11 HCPs and 15 parents in 6 focus groups. Participants described their experiences as 'traumatic', with difficulties in accessing prenatal and postpartum services, and feelings of distress and isolation. They also noted delays in speech and development in children born during the pandemic. Key recommendations included the provision of partner accompaniment throughout the course of care, expansion of available services for young families (particularly postpartum), and special considerations for marginalised groups, including access to technology for virtual care or the option of in-person visits. CONCLUSIONS: Our findings may inform the development of healthcare system and organisational policies to ensure the provision of maternal and newborn care in the event of future public health emergencies. Of primary importance to the participants was the accommodation of antenatal, intrapartum and postpartum partner accompaniment, and the provision of postpartum services.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".