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Record W4410106917 · doi:10.1016/j.jen.2025.03.017

Nurses’ Perceptions of an Intervention Program to Improve Miscarriage Care in Emergency Departments

2025· article· en· W4410106917 on OpenAlexfundno aff
Tina Emond, Liette-Andrée Landry, Latifa Saidi

Bibliographic record

VenueJournal of Emergency Nursing · 2025
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
FundersUniversité de Moncton
KeywordsMiscarriageEmergency nursingIntervention (counseling)MedicineMedical emergencyNursingEmergency departmentPregnancy

Abstract

fetched live from OpenAlex

INTRODUCTION: Miscarriage affects approximately 20% of known pregnancies and can have significant physical and emotional consequences. The emergency department is often the first point of contact for parents experiencing this event. However, studies have indicated dissatisfaction with the quality of care provided in the emergency department. Interventions for enhancing physical and emotional health in the emergency department within the context of miscarriage are limited. This study aimed to explore nurses' perceptions of an intervention program for miscarriage care in the emergency department to assess its potential impact on their views of miscarriage experience and care practices. METHODS: This study used a descriptive qualitative approach with semistructured interviews. A total of 8 emergency nurses who attended a training session on miscarriage care, which was part of the intervention program, were interviewed. A thematic analysis of the collected data was conducted. RESULTS: Results showed that nurses experienced an increased level of confidence in providing overall care for parents' emotional needs while addressing gaps in emotional and informational support. This research indicated that targeted training and resources can improve nurses' confidence in supporting parents experiencing a miscarriage in the emergency department. DISCUSSION: The findings provide a relevant foundation for future research, and these interventions could be adapted and implemented in other health care settings.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.024
GPT teacher head0.446
Teacher spread0.422 · 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.

Study designObservational
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

Citations1
Published2025
Admission routes1
Has abstractyes

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