The psychological impact of the COVID-19 pandemic and a SARS-CoV-2 testing programme on obstetric patients and healthcare workers
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to describe the psychological impact of the COVID-19 pandemic and the specific impact of a universal SARS-CoV-2 testing programme on obstetric patients and healthcare workers at The Ottawa Hospital. METHODS: This was a follow-up survey study of obstetric healthcare workers and then-pregnant patients who participated in a SARS-CoV-2 testing programme conducted in The Ottawa Hospital obstetrical triage units from 19 October to 17 November 2020. Surveys explored the effects of the COVID-19 pandemic and the testing programme on participants' psychological well-being. Responses were collected from April to September 2021. Descriptive summary statistics were calculated for both groups. RESULTS: During hospitalization for delivery, obstetric patients (n = 143) worried about giving COVID-19 to their new baby (88.11%), catching COVID-19 (83.22%), and giving COVID-19 to their partner (76.22%). Patients felt relief at being tested for COVID-19 during the universal testing programme (24.65%) and at getting their results (28.87%). Patients also believed that universal SARS-CoV-2 testing was a good way to slow COVID-19 spread (79.72%), reduce anxiety (75.52%), and increase relief (76.22%). In addition, patients felt good about participating in research that could help others (91.61%). Among obstetric healthcare workers (n = 94), job satisfaction decreased and job stress increased during the COVID-19 pandemic. The universal testing programme led to minor increases in healthcare worker job stress and burden, particularly among nurses, but the majority (85.23%) believed it was a valuable research initiative. CONCLUSION: The COVID-19 pandemic has had a negative psychological impact on obstetric patients and healthcare workers. Universal SARS-CoV-2 testing was generally viewed favourably and may serve as an effective strategy for estimating COVID-19 prevalence without adding undue stress onto patients and healthcare workers during the pandemic.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".