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Record W3013750360 · doi:10.22146/bkm.37591

Kesiapan ibu dalam melahirkan sehat di wilayah kerja Puskesmas Brebes Jawa Tengah

2018· article· id· W3013750360 on OpenAlexaboutno aff
Irene Jesihka Pandiangan, Ede Surya Darmawan

Bibliographic record

VenueIndonesian Journal of Biotechnology (Universitas Gadjah Mada) · 2018
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsChildbirthMedicineContext (archaeology)Quarter (Canadian coin)NursingHealth facilityPregnancyObstetricsFamily medicinePopulationHealth servicesEnvironmental healthGeography

Abstract

fetched live from OpenAlex

Mother's readiness in healthy childbirth in Brebes Health Center of Central Java Purpose: Although health workers have made classes of pregnant women to have a healthy childbirth, very few evaluations of these programs existed for Indonesian context. This study examines health workers and socioeconomic factors effects on mother's readiness to deliver healthy children. Methods: A survey of 100 pregnant women in the working area of the Brebes Health Center in Brebes Regency, Central Java Province, in 2018. Data collection using questionnaires and pregnancy records in the MCH Handbook. Results: A quarter of pregnant women in this study were not ready for a "healthy childbirth process" (24%). Mothers with higher education have three and a half times more than those with low education. Mothers who received health support in the ANC were three times more prepared than those who did not need ANC support. Conclusions: Most pregnant women have adequate readiness to deliver a healthy child. Mothers with low education were less likely to be ready to have a healthy childbirth. Health worker support to mothers during antenatal care is critical for a healthy childbirth. Puskesmas workers should reach mothers who have no ANC visit and educate them, in particular, those from low-education mothers.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.245
Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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