The perspective of Canadian health care professionals on abortion service during the COVID-19 pandemic
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic and pandemic response created novel challenges for abortion services. Canada was uniquely positioned to transition to telemedicine because internationally common restrictions on abortion medication were removed before the pandemic. OBJECTIVE: We sought to characterize the experiences of abortion health care professionals in Canada during the COVID-19 pandemic and the impact of the pandemic response on abortion services. METHODS: We conducted a sequential mixed methods study between July 2020 and January 2021. We invited physicians, nurse practitioners and administrators to participate in a cross-sectional survey containing an open-ended question about the impact of the pandemic response on abortion care. We employed an inductive codebook thematic analysis, which informed the development of a second, primarily quantitative survey. RESULTS: Our initial survey had 307 respondents and our second had 78. Fifty-three percent were family physicians. Our first survey found respondents considered abortion access essential. We identified three key topicss: access to abortion care was often maintained despite pandemic-related challenges (e.g. difficulty obtaining tests, additional costs); change of practice to low-touch medication abortion care and provider perceptions of patient experience, including shifting demand, telemedicine acceptability and increased rural access. The second survey indicated uptake of telemedicine medication abortion among 89% of participants except in Quebec, where regulations meant procedures were nearly exclusively surgical. Restrictions did not delay care according to 76% of participants. CONCLUSIONS: Canadian health care professionals report their facilities deemed abortion an essential service. Provinces and territories, except Quebec, described a robust pandemic transition to telemedicine to ensure access to services. PODCAST: An accompanying podcast is available in the Supplementary Data, in which the authors Dr Madeleine Ennis and Kate Wahl discuss their research on how family planning care and access to abortion services have changed during the COVID-19 pandemic.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.038 | 0.011 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".