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Record W4327811653 · doi:10.1186/s12884-023-05474-z

The experience of pregnant women in contexts of vulnerability of prenatal primary nursing care: a descriptive interpretative qualitative study

2023· article· en· W4327811653 on OpenAlexaffabout
Émilie Hudon, Maud‐Christine Chouinard, Édith Ellefsen, Jérémie Beaudin, Catherine Hudon

Bibliographic record

VenueBMC Pregnancy and Childbirth · 2023
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité de SherbrookeUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsMedicineNursingThematic analysisSnowball samplingVulnerability (computing)Qualitative researchPrenatal careReproductive medicineNursing researchFamily medicinePregnancyPopulationEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Prenatal primary nursing care contributes to improving the health outcomes of mothers and unborn babies. Some pregnant women in contexts of vulnerability experience prenatal nursing care in a positive way, while some do not. A better understanding of factors influencing this experience could help improve prenatal nursing care. The aim of this study was to describe factors influencing the prenatal primary nursing care experience of pregnant women in contexts of vulnerability. METHODS: Thorne's qualitative interpretative descriptive approach was used. Twenty-four pregnant women in contexts of vulnerability were recruited in local community service centers in Quebec, Canada, using purposive and snowball samplings, to carry out a semi-structured interview. Participants were 16 years old and over, in their second or third trimester, or had given birth in the previous year, and received prenatal nursing care through community health services. Data collection methods included a logbook, sociodemographic questionnaire and semi-structured interview on vulnerable pregnant women's experience with prenatal primary nursing care. The Qualitative Analysis Guide of Leuven guided the inductive thematic analysis, following a constant comparative iterative process. RESULTS: The women's experience was initially influenced by the fulfillment of their needs and expectations. These stem from their previous or current pregnancy experiences, their motivation to receive prenatal care, their family concerns as well as their contexts of vulnerability. From the pregnant women's perspective, the main factors that influenced their experience were the nurse's approach, characteristics and interventions that all impact on their relationship with nurses, as well as the prenatal primary care organization, including the modalities of prenatal care (i.e. schedule, setting, duration, number and frequency of meetings), the continuity and the program's prenatal care services, such as referral to a nutritionist, social worker or other services. CONCLUSIONS: A conceptual framework is proposed to describe relationships among the factors distributed in three dimensions that influence the experience of pregnant women in contexts of vulnerability and to guide nurses in the improvement of prenatal primary care. Considering the complexity of this experience, a person-centered approach is mandatory to promote a positive experience, equity and a better use of services.

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 imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0100.010
Scholarly communication0.0040.003
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.352
Teacher spread0.325 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2023
Admission routes2
Has abstractyes

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