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Record W4322618025 · doi:10.31964/jsk.v14i1.390

Faktor Yang Berhubungan Dengan Kecemasan Ibu Hamil Trimester Iii Di Wilayah Kerja Puskesmas Beruntung Raya Banjarmasin

2023· article· id· W4322618025 on OpenAlexaff
Erni Setiawati, Rumilawaty Rumilawaty, Zakiah Zakiah

Bibliographic record

VenueJurnal Skala Kesehatan · 2023
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsGynecologyMedicine

Abstract

fetched live from OpenAlex

Latar belakang : kecemasan selama kehamilan terjadi sekitar 8-10%, dan meningkat menjadi 13% menjelang persalinan. Persentase ini dapat meningkat selama kondisi pandemi COVID-19, terutama untuk ibu hamil yang membutuhkan perawatan selama tinggal di rumah sakit. Kecemasan yang dialami oleh ibu hamil dapat memberikan dampak kepada ibu hamil dan juga bayi yang sedang di kandungnya. Dampak yang dapat terjadi pada ibu brp hipertensi, partus lama, keguguran dan jika berlanjut sampai post partum dapat menyebabkan ibu mengalami baby blues, sedangkan dampak yang dapat terjadi pada bayi berupa asfiksia, kaput suksedaneum, dan prematuritas. Beberapa faktor yang berhubungan dengan kecemasan ibu hamil diantaranya usia, pendidikan, dukungan suami, dan dukungan keluarga Mengetahui faktor yang berhubungan dengan kecemasan pada ibu hamil trimester III di Wilayah Kerja Puskesmas Beruntung Raya Banjarmasin Metode: Desain peneltian ini adalah analitik kuantitatif, dengan rancangan Cross Sectional. Populasi dan sampel adalah ibu hamil trimester III di wilayah kerja Puskesmas Beruntung Raya berjumlah 63 orang. Uji statistic menggunakan chi square test Hasil: sebanyak 73% ibu hamil mengalami kecemasan, 84% berusia 20-35 tahun, 46% menerima dukungan positif dari keluarga, 60,3% dengan paritas 2-3, 66,7% ibu hamil tidak bekerja, dan 71,4% dengan Pendidikan menengah. Terdapat hubungan signifikan antara usia, dukungan keluarga, dan paritas dengan kecemasan pada ibu hamil trimester III

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.002

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 head0.028
GPT teacher head0.309
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.

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
Published2023
Admission routes1
Has abstractyes

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