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Record W3163740455 · doi:10.9778/cmajo.20210008

Women’s postpartum experiences in Canada during the COVID-19 pandemic: a qualitative study

2021· article· en· W3163740455 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCMAJ Open · 2021
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsMcGill UniversityMcGill-Queen's University PressUniversity of Toronto
Fundersnot available
KeywordsSnowball samplingThematic analysisPandemicQualitative researchBreastfeedingMental healthNonprobability samplingMedicineNursingPsychologyPostpartum periodSocial supportPublic healthFamily medicinePsychiatryPopulationPregnancyCoronavirus disease 2019 (COVID-19)Environmental healthSocial psychologyPediatricsSociology

Abstract

fetched live from OpenAlex

BACKGROUND: The mental health of postpartum women has worsened during the COVID-19 pandemic; however, the experiences that underlie this remain unexplored. The purpose of this study was to examine how people in Canada who gave birth during the pandemic were affected by policies aimed at limiting interpersonal contact to reduce SARS-CoV-2 transmission in hospital and during the early weeks postpartum. METHODS: We took a social constructionist approach and used a qualitative descriptive methodology. Sampling methods were purposive and involved a mix of convenience and snowball sampling via social media and email. Study inclusion was extended to anyone aged 18 years or more who was located in Canada and was pregnant or had given birth during the COVID-19 pandemic. Data were obtained via semistructured qualitative telephone interviews conducted between June 2020 and January 2021, and were analyzed through thematic analysis. RESULTS: Sixty-five interviews were conducted; data from 57 women who had already delivered were included in our analysis. We identified the following 4 themes: negative postpartum experience in hospital owing to the absence of a support person(s); poor postpartum mental health, especially in women with preexisting mental health conditions and those who had had medically complicated deliveries; asking for help despite public health regulations that prohibited doing so; and problems with breastfeeding owing to limited in-person follow-up care and lack of in-person breastfeeding support. INTERPRETATION: Policies that restrict the presence of support persons in hospital and at home during the postpartum period appear to be causing harm. Measures to mitigate the consequences of these policies could include encouraging pregnant people to plan for additional postpartum support, allowing a support person to remain for the entire hospital stay and offering additional breastfeeding support.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.093
GPT teacher head0.404
Teacher spread0.311 · 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