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Record W4212896799 · doi:10.55313/ojs.v7i2.63

Hubungan Dukungan Keluarga dengan Kepatuhan Pengobatan Pasien Hipertensi di Wilayah Kerja Puskesmas Widodaren Kecamatan Gerih Kabupaten Ngawi

2020· article· id· W4212896799 on OpenAlexaff
Nina Kustiyani, Erwin Kurniasih, Raudhotun Nisak

Bibliographic record

Venuee-Journal Cakra Medika · 2020
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Hipertensi merupakan salah satu penyakit tidak menular yang dapat menimbulkan kematian apabila tidak segera dilakukan pengobatan dengan cepat dan tepat. Angka kejadian hipertensi mengalami peningkatan yang cukup besar di Indonesia yaitu sebanyak 658 ribu jiwa. Komplikasi yang dapat terjadi karena adanya hipertensi seperti stroke, serangan jantung, gagal jantung dan gagal ginjal. Pengobatan hipertensi yang lama memerlukan biaya yang tinggi sehingga perlu adanya upaya dalam mematuhi pengobatan. Kepatuhan pengobatan hipertensi dapat berjalan dengan optimal jika mendapatkan dukungan dari keluarga. Tujuan penelitian untuk mengetahui adanya hubungan antara dukungan keluarga dengan kepatuhan pengobatan pasien hipertensi di wilayah kerja Puskesmas Widodaren Kecamatan Gerih Kabupaten Ngawi. Metode yang digunakan yaitu kuantitatif korelasi dengan pendekatan Cross Sectional. Sampel dipilih menggunakan teknik Purposive Sampling dengan kriteria inklusi didapatkan sampel sejumlah 35 responden. Instrumen penelitian menggunakan kuesioner dengan uji analisa Chi Square. Hasil Penelitian diperoleh sebagian besar responden berusia 50-59 tahun 42,9%, berjenis kelamin perempuan 74,3%, berpendidikan SD 62,9%, pekerjaan Ibu Rumah Tangga 34,3%, lama menderita hipertensi < 5 tahun 60,0%. Dukungan keluarga baik 54,3%, kepatuhan pengobatan tinggi 54,3%. Hasil uji analisa Chi Square diperoleh ρ = 0,001 yang menunjukan bahwa terdapat hubungan antara dukungan keluarga dengan kepatuhan pengobatan pasien hipertensi. Dengan hasil penelitian ini keluarga diharapkan lebih meningkatkan dukungan yang diberikan karena dapat mempengaruhi keberhasilan pengobatan pasien hipertensi

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)0.005
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0010.007
Insufficient payload (model declined to judge)0.0030.002

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 head0.042
GPT teacher head0.282
Teacher spread0.240 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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