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Contributions of the nursing team in the second stage of the Kangaroo-Mother Care Method: Implications for hospital discharge of the newborn

2018· article· en· W2902310853 on OpenAlexaff
Isabela Maria Magalhães Sales, José Diego Marques Santos, Sílvana Santiago da Rocha, Márcia Teles de Oliveira Gouvéia, Nalma Alexandra Rocha de Carvalho

Bibliographic record

VenueEscola Anna Nery · 2018
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNursingMedicineNursing careIntervention (counseling)Neonatal nursingPrimary nursingNurse educationPediatricsNeonatal intensive care unit

Abstract

fetched live from OpenAlex

Abstract Objective: To know the main care procedures of the nursing team in the second stage of the Kangaroo Care Method that contribute to the hospital discharge of the newborn and the continuation of home care, and to prepare an explanatory brochure to guide professionals in the management of hospital discharge. Method: Qualitative, convergent care study, carried out with 17 nursing professionals from a reference maternity hospital. Data were collected through semi-structured interviews and focus groups and analyzed through content analysis. Results: There were relevant concerns about the use of kangaroo position, about the skin-to-skin care and hygiene of the newborn, and about respiratory changes as a warning sign for intervention. A brochure was developed to showcase the essential care provided by the nursing professionals - its goal is the proper continuation of health care of premature or underweight babies. Conclusion and implications for the practice: Nursing teams can contribute to the clinical stability of the newborn in the second stage of the Kangaroo-Mother Care Method and elaborate educational interventions that guarantee the continuation of care.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.191

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.013
GPT teacher head0.321
Teacher spread0.308 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations20
Published2018
Admission routes1
Has abstractyes

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