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Record W3136971862

Newborn Care Corner: A Simplified Approach to Providing Optimal Newborn Care Immediately After Birth:

2019· article· en· W3136971862 on OpenAlexaboutno aff
Assaye K. Nigussie, Bogale Worku

Bibliographic record

VenueEthiopian Medical Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineResuscitationNeonatal resuscitationAsphyxiaPerinatal asphyxiaQuarter (Canadian coin)Health careNeonatologyMedical emergencyEmergency medicinePediatricsIntensive care medicinePregnancy
DOInot available

Abstract

fetched live from OpenAlex

Introduction: In 2005, a quarter of all child deaths in Ethiopia happened in the neonatal period, with one quarter of them caused by perinatal asphyxia. The proportion of neonates receiving essential newborn care, including basic life support was alarmingly low. In response to this lack of care, a new and innovative Newborn Care Corner approach was established. The primary objective of establishing a NBC near the labor and delivery room of health centers and primary hospitals was to ensure that all steps of essential newborn care are provided as one clinical bundle to all neonates, including resuscitation of asphyxiated neonates within the first few minutes of life. Objective: To assess the impact and feasibility of the NBC approach, Methods: One hundred resuscitation units were locally manufactured and piloted in 100 health facilities. Results: The pilot demonstrated that health workers could effectively resuscitate neonates and save more than 95% of asphyxiated babies in their respective facilities. As a result, Ethiopia procured approximately 2,000 standard neonatal resuscitation units to move toward full-scale national implementation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient 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 score0.582
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.276
Teacher spread0.265 · 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
Published2019
Admission routes1
Has abstractyes

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