Knowledge, Attitude, Family Support, and Integrated Health Service Post for Elderly in Working Area of Penurunan Public Health Center Bengkulu
Bibliographic record
Abstract
The basis for the establishment of integrated health service post for elderly (elderly Posyandu) was to improve the welfare of the community, especially the elderly. This study aimed to determine the factors that were related to the utilization of elderly Posyandu in the working area of Penurunan Public Health Center Bengkulu. This research was conducted in elderly Posyandu in the working area of Public Health Center Bengkulu in August 2017. This type of research was an analytical survey using a cross sectional design. The population in this study were elderly working area of Penurunan Public Health Center Bengkulu. The sampling technique in this study used proportional random sampling and obtained a sample of 88 elderly people. Data collection in this study used primary data obtained from direct interviews with respondents. Data analysis techniques were carried out by univariate and bivariate analysis with Chi-Square test through the SPSS program. The results were obtained : there were 51 people (58.0%) who did not utilize the elderly posyandu. There were 43 people (48.9%) elderly with good knowledge. There were 45 people (51.1%) elderly who had a Favorable attitude and there were 49 people (55.7%) elderly who received family support. This study showed that there was a significant relationship between knowledge, attitudes, and family support with the utilization of elderly Posyandu in working area of Penurunan Public Health Center Bengkulu. It is expected that the elderly can play an active role in following the elderly posyandu activities so that the elderly are more independent and productive and the health status of the elderly can be monitored. Keywords: attitude, elderly posyandu, family support, knowledge,
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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 | 0.005 | 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 | 0.001 |
| 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".