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Record W4391583475 · doi:10.54004/jikis.v11i2.132

HUBUNGAN ANTARA PERSEPSI ANCAMAN TERHADAP KESEHATAN DENGAN TINGKAT KEPATUHAN MINUM OBAT PADA PENDERITA TB PARU

2023· article· id· W4391583475 on OpenAlexaff
Taufik Hidayat, Nursyifa Firdhania

Bibliographic record

VenueJurnal Ilmu Kesehatan Insan Sehat · 2023
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAluminum toxicity and tolerance in plants and animals
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Pendahuluan : Keberhasilan pengobatan TBC sangat ditentukan oleh kepatuhan penderita minum obat secara teratur akan tetapi sebagian besar penderita berpresepsi bahwa penyakit TBC bukanlah penyakit yang berbahaya. Tujuan: Penelitian ini untuk mengetahui hubungan antara persepsi ancaman terhadap Kesehatan dengan tingkat kepatuhan minum obat pada penderita TBC di wilayah kerja UPT Puskesmas Babirik. Metode : Penelitian ini bersifat deskriptif analitik dengan desain Cross Sectional sebanyak 30 orang responden penderita TBC menggunakan metode total sampling. Instrumen menggunakan kuesioner ancaman yang telah dimodifikasi berjumlah 10 pernyataan dan kuesioner Morisky Medication Adherence Scale (MMAS) 8 pernyataan. Hasil : Penelitian ini menunjukkan bahwa ancaman kategori baik, yaitu sebanyak 21 orang (70.0%), kepatuhan paling banyak berada dalam kategori rendah yaitu sebanyak 17 orang (56.6%). Uji korelasi Spearman Rho didapatkan hasil p = 0,486 yaitu tidak ada hubungan yang signifikan antara persepsi ancaman terhadap kesehatan dengan tingkat kepatuhan minum obat pada penderita TBC di wilayah kerja UPT Puskesmas Babirik. Saran : Dapat dilakukan penelitian lain untuk mencari faktor yang berhubungan dengan kurangnya tingkat kepatuhan minum obat pada penderita TBC.

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, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.047
GPT teacher head0.258
Teacher spread0.210 · 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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