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Record W2094988786 · doi:10.1097/nmc.0b013e31829f2c94

Call For Neonatal Nursing Specialization in Developing Countries

2013· article· en· W2094988786 on OpenAlexaff
Shahirose Premji, Kaye Spence, Carole Kenner

Bibliographic record

VenueMCN The American Journal of Maternal/Child Nursing · 2013
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsSpecialtyContext (archaeology)NursingMedicineHealth careNeonatal mortalityInfant mortalityBusinessFamily medicineEconomic growthEnvironmental healthGeographyPopulationEconomics

Abstract

fetched live from OpenAlex

In an attempt to reach Millennium Development Goals, health facility births, which are births occurring in health centers, facilities, or institutions under the care of a skilled birth attendant, are increasing in developing countries. We examined the state of neonatal nursing care in the context of issues related to the capacity of these health facilities to provide quality care and the high facility mortality rates in those neonates admitted to hospital. Neonatal nursing as a specialty within a community-hospital-community network system is proposed as an effective scaling-up strategy to improve neonatal survival. Establishment of international competency standards for neonatal nursing together with regulatory processes with mechanisms to facilitate specialty education forms the basis for the specialty of neonatal nursing. We have identified a strategy to mobilize financial resources for the development of the specialty of neonatal nursing. Evaluation of trends in mortality and identification of process indicators will facilitate examination of the effectiveness of the introduction of the specialty of neonatal nursing as a scaling-up strategy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.470

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 head0.010
GPT teacher head0.290
Teacher spread0.280 · 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

Citations13
Published2013
Admission routes1
Has abstractyes

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Same venueMCN The American Journal of Maternal/Child NursingSame topicGlobal Maternal and Child HealthFrench-language works237,207