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Record W6991116123

FAKTOR YANG BERHUBUNGAN DENGAN IMUNISASI DASAR LENGKAP DI WILAYAH KERJA PUSKESMAS KOTO TINGGI KABUPATEN LIMA PULUH KOTA TAHUN 2023

2023· dissertation· id· W6991116123 on OpenAlexaff

Bibliographic record

VenueAndalas University eThesis (Andalas University) · 2023
Typedissertation
Languageid
FieldHealth Professions
TopicHealthcare Quality and Satisfaction
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsQualitative analysisSignificant differenceNational laboratory
DOInot available

Abstract

fetched live from OpenAlex

Tujuan Penelitian: Cakupan imunisasi dasar lengkap di Puskesmas Koto Tinggi Kabupaten Lima Puluh Kota belum mencapai target yaitu 18,68% dari target nasional 94%. Penelitian ini bertujuan untuk mengetahui faktor yang berhubungan dengan imunisasi dasar lengkap di wilayah kerja Puskesmas Koto Tinggi Kabupaten Lima Puluh Kota. Metode: Jenis penelitian adalah kuantitatif, pada bulan Juni-Agustus 2023, rancangan penelitian studi cross sectional, sampel 76 responden di wilayah kerja Puskesmas Koto Tinggi. Analisis data dilakukan secara univariat, hingga multivariat. Hasil: didapatkan bahwa 61,8% ibu tidak memberikan imunisasi dasar lengkap, 44,7% berpengetahuan rendah, 39,5% bersikap negatif, 31,6% berpendidikan rendah, 75% tidak bekerja, 75% sedikit anak, 57,9% kesulitan menjangkau pelayanan kesehatan, 55,3% tidak didukung keluarga, 41,8% tidak didukung tenaga kesehatan, 56,6% kurang terpapar informasi. Diperoleh p-value pengetahuan (0,000), sikap (0,001), pendidikan (0,400), status pekerjaan (0,340), jumlah anak (0,892), keterjangkauan pelayanan kesehatan (0,890), dukungan keluarga (0,000), dukungan tenaga kesehatan (0,263), dan paparan informasi (0,000). Variabel yang paling dominan berpengaruh terhadap imunisasi dasar lengkap adalah dukungan keluarga (p-value 0,000 dan POR = 20,344). Kesimpulan: Pengetahuan, sikap, dukungan keluarga, dan paparan informasi berhubungan dengan imunisasi dasar lengkap. Untuk meningkatkan cakupan imunisasi dasar lengkap, Puskesmas dapat menyediakan taman baca sebagai bahan bacaan dan media informasi akan pentingnya imunisasi dasar.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.497
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0040.005
Science and technology studies0.0100.001
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0010.003

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 head0.069
GPT teacher head0.337
Teacher spread0.267 · 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
Published2023
Admission routes1
Has abstractyes

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