The Influence of Three Variables on the Performance of Personnel in the Private Hospital in Indonesia
Bibliographic record
Abstract
BACKGROUND: This study aims to look at the effect and its magnitude (value) of the variables: family health history, lifestyle behavior, and work environment on the performance of hospital personnel at the private hospital in Indonesia.METHODS: Cross sectional methods were used in this study and data were analyzed with the approach to SEM using Smart PLS Software. In this study, all services at the hospital were chosen as the unit of analysis with 87 hospital personnel being selected as the sample. Multistage random sampling was used. The research was conducted from January to February 2016.RESULTS: The results of the analysis showed the performance of hospital personnel in the private hospital was influenced by all the variables which meant that the theoretical model proposed in this study could be implemented. However, none of the variables in the research model showed critical influence, only 8.12 per cent, when compared to variables outside the model which was 91.88 per cent.CONCLUSION: This study concluded that the three variables studied were not large enough as variables that could be used for interventions in improving the performance of hospital personnel. Therefore, the hospital management needed to look for other variables as effort to improve the performance of hospital personnel.
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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 | 0.021 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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".