Altruism and Primary Healthcare Workers’ Job Satisfaction: Findings from Central Vietnam
Bibliographic record
Abstract
To achieve the Sustainable Development Goals, particularly to promote healthy living and well-being for all ages, we must ensure a high quality of healthcare services at primary facilities. However, the shortage of healthcare workers in primary facilities is a problem in many countries, including Vietnam. Despite concerns about the low job satisfaction of health workers and value of altruism in this field, no existing research has thus far addressed its effect on job satisfaction. This study thus contributes to the body of knowledge on healthcare workers’ job satisfaction by observing the role of altruism.We conducted a quantitative analysis by using data collected from healthcare workers employed at primary facilities in central Vietnam in 2014. The survey administered to healthcare workers (n=241) included a hypothetical dictator game questionnaire to elicit their level of altruism. We then used an ordered probit model to examine the factors associated with healthcare workers’ job satisfaction, focusing particularly on altruism by controlling for both individual-level attributes and the condition of their workplaces.We found that a higher level of altruism is associated with lower job satisfaction. Further analysis revealed that more altruistic workers are also likely to have a stricter self-evaluation of healthcare quality, including the availability of drugs. Altruistic healthcare workers may be frustrated when working in environments in which resources are constrained and workers cannot perform to their full ability despite a wish to help others.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".