Factors Affecting the Performance of Non-Permanent Medical Health Employees in the Bintang Mountains, Papua
Bibliographic record
Abstract
To meet the needs of physicians in large quantities in health care facilities (health centers), especially in remote and very remote areas, the government established a policy on the placement of doctors as temporary employees through the Health Minister Regulation No. 1540 of 2002 on doctors placement policy as temporary employees. Geographical conditions in Papua, mostly mountainous areas led to difficult transportation access resulting in high transportation costs and the cost of living in the area where the charge. Besides the lack of electric utilities, telecommunication and housing adequate cause some areas to experience isolation. It is impacting the health services in the province of Papua. The research objective was to determine the factors that affect the performance of non-permanent doctor in the clinic of Bintang mountain, Papua Province. This type of research is analytic with cross sectional study. The population is all non-permanent doctors and head of the health center as a direct supervisor non-permanent doctor in Bintang Mountains District with totaling 41 people, were obtained using the total population technique. Results of the study are the effect of payroll on the performance of non-permanent doctor in Bintang Mountains (p-value 0.001) with a correlation coefficient of 0.433 (enough), there is the effect of certainty career post on the performance of non-permanent doctors in Bintang Mountains (p-value 0.003) with coefficients correlation of 0.371 (low), there is the influence of the availability of facilities and infrastructure to the performance of non-permanent doctors in Bintang Mountains (p-value 0.004) with a correlation coefficient of 0.378 (low). There is the effect of supervision system on the performance of non-permanent doctors (p-value 0.017) with coefficients correlation of 0.301 (low), there is the influence of the security conditions on the performance of non-permanent doctors in Bintang Mountains Regency (p-value 0.008) with a correlation coefficient of 0.341 (low).
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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 | 0.026 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".