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Record W4308148821 · doi:10.1016/j.sctalk.2022.100089

Caring for breastfeeding mothers in disaster relief camps: A call to innovation in nursing curriculum

2022· article· en· W4308148821 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.

Bibliographic record

VenueScience Talks · 2022
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Regina
FundersInternational Development Research CentreSigma Theta Tau International
KeywordsBreastfeedingNursingDisplaced personCurriculumMedicinePsychological interventionInclusion (mineral)PopulationHealth careMedical educationPsychologyRefugeePolitical scienceEnvironmental healthPedagogyPediatrics

Abstract

fetched live from OpenAlex

During natural disasters, people are forced to flee their homes and resettle in temporary disaster relief camps (such as huts, tents, and transitional shelters) that are often located on barren ground, far from cities. Disaster relief camps are one of the most vulnerable settings where women are at risk of discontinuing their breastfeeding practices. A critical ethnographic study undertaken with the internally displaced mothers residing in disaster relief camps in Pakistan re- vealed that the availability of formal support from healthcare professionals is one of the key determinants that shape the breastfeeding experiences of the displaced mothers. Hence suggested the need for innovative strategies in the nurs- ing curriculum to build the capacity of nurses to provide culturally sensitive care to breastfeeding mothers affected by disaster and displacement. Considering these findings, it is recommended that nursing educational settings must in- clude courses on “caring for the vulnerable population during a disaster” at the baccalaureate, graduate, and post- graduate levels. The inclusion of these courses will foster nurses to understand the needs of the displaced community, identify the importance of making a difference through collaborative work, and take part in designing innovative interventions (surrounding health, housing, economic upliftment, and well-being) for the displaced communities. Moreover, onsite clinical experience in disaster relief camps is recommended. This will enhance nurses' competence, hands-on skills, knowledge, and cultural sensitivity while providing care to displaced mothers with a variety of clinical presentations and breastfeeding concerns. Continuing education sessions and seminars must be organized for nurses to update their knowledge about breastfeeding and facilitate evidence-based practice in the setting of disaster relief camps.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
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 head0.021
GPT teacher head0.360
Teacher spread0.339 · 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