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Record W3114198325 · doi:10.1177/2333794x20982434

Neonatal Jaundice: Perception of Pregnant Women Attending Antenatal Clinic at a Tertiary Hospital in Southwest, Nigeria

2020· article· en· W3114198325 on OpenAlexaboutno aff
Ezra Olatunde Ogundare, Omoyajowo Adefunke Christianah, Babatola Adefunke Olarinre, Ajite Adebukola Bidemi, Adeniyi Adewuyi Temidayo, Fatunla Odunayo Adebukola, Agaja Oyinkansola Tolulope, T A Bamidele, Oluwayemi Isaac Oludare, Olatunya Oladele Simeon

Bibliographic record

VenueGlobal Pediatric Health · 2020
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineJaundiceFamily medicineTertiary levelCross-sectional studyPediatricsQuarter (Canadian coin)Surgery

Abstract

fetched live from OpenAlex

Background: Severe neonatal jaundice (NNJ) remains a leading cause of preventable brain damage, mental handicap, physical disabilities, and early death among infants. Methods: Using a descriptive cross-sectional study design, information was gathered using a structured, pretested questionnaire from 518 pregnant women who attended the antenatal clinic at a tertiary Hospital in Southwest Nigeria. Results: Most (77%) of the respondents have heard about NNJ prior the survey. Most respondents (69.5%) demonstrated poor knowledge of the causes of NNJ. The majority, 98.4% had good attitude toward treatment of NNJ. Most respondents (72.1%) demonstrated poor knowledge of the correct treatment of NNJ. A quarter of the respondents knew no danger sign of NNJ. Conclusion: There is serious knowledge gap among the respondents about the causes, treatment, dangers signs and complications of NNJ. There is need for increased awareness campaign using every available means of reaching women of reproductive age group to reduce the consequences of this common neonatal problem.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.299
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2020
Admission routes1
Has abstractyes

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