Pengaruh Promosi Kesehatan Menggunakan Media Video dan Media Umpan Balik Terhadap Pengetahuan Tentang Protokol Kesehatan pada Penderita Hipertensi di Wilayah Kerja Puskesmas Onan Ganjang Tahun 2022
Bibliographic record
Abstract
Tujuan penelitian ini adalah untuk mengetahui pengaruh promosi kesehatan menggunakan media video dan media flipchart terhadap tingkat pengetahuan tentang protokol kesehatan pada penderita hipertensi di wilayah kerja Puskesmas Onan Ganjang tahun 2022 WHO sejak Januari 2020 telah menyatakan dunia berada dalam keadaan darurat global terkait virus ini. Kasus kematian dengan penyakit penyerta yaitu Diabetes Mellitus 9,4%, Hipertensi 9,2% dan Penyakit Jantung 4,8%. Berdasarkan pengamatan bahwa penerapan protokol kesehatan masih rendah dan dari survei awal yang dilakukan terhadap 10 pasien hipertensi ditemukan masih kurangnya pengetahuan tentang protokol kesehatan. Jenis penelitian yang digunakan adalah eksperimen semu dengan One Group Pretest – Posttest Design yang diberikan perlakuan promosi kesehatan dengan media video dan perlakuan promosi kesehatan dengan media flipchart. Populasi dalam penelitian ini adalah penderita hipertensi yang tergabung dalam Posbindu PTM di 12 desa dan sampel penelitian sebanyak 124 responden. Hasil penelitian menunjukkan bahwa setelah diberikan promosi kesehatan menggunakan media video skor pengetahuan meningkat (mean score 7,15 menjadi mean 10,50) setelah diberikan perlakuan media video dengan p-value 0,000 < Level of Significant = 0,05. dan media flipchart meningkatkan skor pengetahuan (rerata skor 6,15 menjadi mean 12,95) setelah diberi perlakuan media flipchart dengan p-value 0,000 < Level of Significant = 0,05.Kata Kunci: Media Video, Media Flip Sheet, Pengetahuan, Protokol Kesehatan, Penderita HipertensiThe purpose of this study was to determine the effect of health promotion using video media and flipchart media on the level of knowledge about health protocols in patients with hypertension in the work area of the Onan Ganjang Health Center in 2022. WHO since January 2020 has declared the world to be in a global emergency related to this virus. Cases of death with comorbidities are Diabetes Mellitus 9.4%, Hypertension 9.2% and Heart Disease 4.8%. Based on the observation that the implementation of health protocols is still low and from an initial survey conducted on 10 hypertension patients, it was found that there was still a lack of knowledge about health protocols. The type of research used was a quasi-experiment with the One Group Pretest – Posttest Design given health promotion treatment with video media and health promotion treatment with flipchart media. The population in this study were hypertension sufferers who were members of the PTM Posbindu in 12 villages and the research sample was 124 respondents. The results showed that after being given health promotion using video media the knowledge score increased (mean score 7.15 to mean 10.50) after being given video media treatment with a p-value of 0.000 < Level of Significant = 0.05. and flipchart media increased knowledge score (mean score 6.15 to mean 12.95) after being treated with flipchart media with p-value 0.000 < Level of Significant = 0.05. Thus the effect of health promotion using video media and flipchart media on the level of knowledge about health protocols in patients with hypertension in the Work Area of the Onan Ganjang Health Center is significant with different score levels.Keywords: Video Media, Flip Sheet Media, Knowledge, Health Protocol, Hypertension Patients
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".