The Health Promotion Model of Public Health Program for Elderly
Bibliographic record
Abstract
OBJECTIVE: The society health care of elderly is integral part of service health by comprehensive through promotion, preventive, curative and rehabilitative, and resocialitative efforts. The aim of society health care is to improve the ability of society to live healthy until an optimal degree of health is achieved. METHOD: This research was cross sectional research by using survey method. Sample of this research was 200 elderly that was divided into 25 clinics in Sleman regency of Special Region Yogyakarta. This research was done on March up to August 2018. The data was collected then processed by using PLS SEM program. RESUTLS: The results of research show there is an influence between the health promotion and the health education with estimates = 0,753. The health education posses the elderly health behavior with value p = 0,00. The health behavior (p = 0,00), public policy (p = 0,07), the care function of elderly (p = 0,00), and elderly behavior (p = 0,020) posse the independence of elderly. The elderly independence possess the elderly health quality with estimates as big as 0, 312. CONCLUSION: Based on the finding of the study, elderly health quality can be improved by increasing the elderly independence through the health education effort which takes effect to the health behavior and improving the facilities and infrastructure related to the health public policy, and improving the health care of society.
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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 | 0.015 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".