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Record W4387333734 · doi:10.1186/s12913-023-10079-5

The pandemic experiences of Ontario perinatal providers: a qualitative study

2023· article· en· W4387333734 on OpenAlexaffabout
Sigourney Shaw-Churchill, Karen P. Phillips

Bibliographic record

VenueBMC Health Services Research · 2023
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNursing researchMedicineHealth informaticsHealth administrationPandemicPublic healthNursingQualitative researchHealth services researchCoronavirus disease 2019 (COVID-19)Family medicineInternal medicineDisease

Abstract

fetched live from OpenAlex

BACKGROUND: The COVID-19 pandemic has produced widespread disruptions for healthcare systems across Canada. Perinatal care in Ontario, Canada was subject to province-wide public health restrictions, reallocation of hospital beds and human health resources. To better understand the impacts of the pandemic on Ontario perinatal care, this study explored the perspectives of perinatal care providers about their clinical COVID-19 pandemic experiences. METHODS: Semi-structured key informant virtual interviews were conducted between August 2021 and January 2022 with 15 Ontario-based perinatal care providers. Recorded interviews were transcribed, and thematic content analysis used to identify major themes and subthemes. RESULTS: Participants were mainly women, practicing in Eastern and Central Ontario as health providers (obstetricians, nurses, midwives), allied regulated health professionals (social worker, massage therapist), and perinatal support workers (doula, lactation consultant). Major themes and subthemes were identified inductively as follows: (1) Impacts of COVID-19 on providers (psychosocial stress, healthcare system barriers, healthcare system opportunities); (2) Perceived impacts of COVID-19 on pregnant people (psychosocial stress, amplification of existing healthcare barriers, influences on reproductive decision making; minor theme- social and emotional support roles); (3) Vaccine discourse (provider empathy, vaccines and patient family dynamics, minor themes- patient vaccine hesitancy, COVID-19 misinformation); and (4) Virtual pregnancy care (benefits, disadvantages, adaptation of standard care practices). CONCLUSIONS: Perinatal care providers reported significant stress and uncertainty caused by the COVID-19 pandemic and evolving hospital protocols. Providers perceived that their patients were distressed by both the pandemic and related reductions in pregnancy healthcare services including hospital limits to support companion(s). Although virtual pregnancy care impaired patient-provider rapport, most providers believed that the workflow efficiencies and patient convenience of virtual care is beneficial to perinatal healthcare.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.221
GPT teacher head0.568
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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