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Record W4399708318 · doi:10.1016/j.sctalk.2024.100377

Effects of COVID-19 on breastfeeding practices of immigrant mothers in Canada: A qualitative study

2024· article· en· W4399708318 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueScience Talks · 2024
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Regina
FundersSaskatchewan Health Research Foundation
KeywordsBreastfeedingImmigrationCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakQualitative researchSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicMedicinePsychologyGeographyVirologySociologyPediatricsInfectious disease (medical specialty)OutbreakAnthropologyDisease

Abstract

fetched live from OpenAlex

Globally, the COVID-19 pandemic has negatively affected the health and well-being of the population at large, especially immigrant women with young children. It is essential to explore the breastfeeding experiences of immigrant women who are vulnerable and often lack adequate breastfeeding support in a new country. This study aimed to explore the effects of COVID-19 on the breastfeeding practices of immigrant mothers in Saskatchewan, Canada.This critical ethnographic study was undertaken during the second and third waves of the COVID-19 pandemic in Canada. After seeking approval from the ethics review board, in-depth interviews were undertaken with 30 immigrant mothers with a young child aged 1 day to 24 months. Participants were recruited from different cities in Saskatchewan, Canada. Data from in-depth interviews were triangulated with information gathered through field observations and a review of media reports. Data were analyzed manually by the researcher and patient partners on this project. Multiple steps were followed to analyze data inductively and iteratively. Data analysis involved isolation of codes, comparison and validation of codes, identification of categories specifying both positive and negative effects of COVID-19, and derivation of the broad themes reflecting the effects of COVID-19 on breastfeeding practices of immigrant mothers. Interpretations drawn from the data were verified with the study participants.The findings suggested that the COVID-19 pandemic has both positive and negative effects on the breastfeeding practices of immigrant women who are mothering. Key themes derived from the findings include quality time with an infant, lack of support and isolation, limited healthcare access and lactation counselling, mother-baby separation, healthcare restrictions and financial instability.During the COVID-19 pandemic, it is essential to promote, protect and support breastfeeding of immigrant women facing add-on challenges due to limited social support, isolation, and financial instability in a new country. This study provides unique insight that can make a difference moving forward by highlighting the adjustments that need to be made in healthcare practices for immigrant women to have a more positive breastfeeding experience in a future 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.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.194
Threshold uncertainty score0.513

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.044
GPT teacher head0.441
Teacher spread0.397 · 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