Pengaruh Penyuluhan Kesehatan Tentang Penyakit Stroke Terahdap Tingkat Pengetahuan Keluarga
Bibliographic record
Abstract
Introduction: Stroke is a disease that is a problem in the world, 85% of people in the world have a risk of stroke, this has been recorded by the world stroke organization. This can be avoided if there is awareness to address risk factors early on. Stroke is a disease that affects the whole body, including paralysis, difficulty speaking, emotional difficulties, pain and problems in daily life. Stroke recovery requires a long time and good knowledge about stroke. knowledge.
 Objective: This counseling aims to determine the extent to which the patient's family understands stroke, risk factors and prevention. One of the main factors of delay in seeking treatment is the lack of knowledge of patients, families and the general public about stroke, signs, symptoms, and a good lifestyle for stroke sufferers. Counseling about stroke if properly explained can encourage stroke patients to seek treatment immediately so that the impact of death and disability can be minimized.
 Method: The method used in this activity begins with the planning stage, continues with the presentation of the material, and ends with the evaluation to determine the level of success. The presentation of the material was carried out using the lecture method, question and answer with the patient's family and assisted with brochures.
 Result: The evaluation results show that the activities have been carried out well according to the results indicators and criteria on the evaluation sheet instrument.
 Coclusion: The sheet is based on five dimensions, namely timeliness and duration, participation, knowledge, job description and problem solving.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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; both teacher heads agree on what is shown here.
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".