Assessment of Job Satisfaction among Primary Health Care Providers in Alexandria, Egypt
Bibliographic record
Abstract
Job satisfaction is a measure of worker perception. Satisfaction is known to impact work performance, learning recruitment and retentions. Information about job satisfaction among health care providers in Alexandria and factors influencing it are inadequate. Therefore, this study aimed at assessment of the level of job satisfaction and the related dimensions among primary health care [PHC] providers in Alexandria. Moreover, the study aimed at examining the demographic and job characteristics in relation to job satisfaction. For achieving the aims of this study, a descriptive cross sectional approach was adopted. All available health care personnel providing PHC services in the seven health districts in Alexandria were included in the study. Data were collected using a structured closed self-administered specially-designed internal and external, each of which has nine dimensions. An overall job satisfaction score was calculated, taking into account importance and satisfaction subsidiaries. Data were collected during the period from July to September 2002. The studied sample totaled 538 health care providers. One quarter of the studied health care providers [25.3%] were physicians, more than half [54.5%] was nursing staff while paramedical personnel constituted 20.2%. Generally, job dissatisfaction was highly prevalent [74.2%] among the studied sample with a median Job Satisfaction Score [JSS] of -42. Dissatisfaction was high for external dimension, compared to the internal one [78.4% compared to 68.2%]. Moreover, overt dissatisfaction was highly prevalent regarding the 18 dimensions of job satisfaction, where the percent of dissatisfaction ranged from 47.2% to 77.3% of the sample. Moreover, PHC providers were least satisfied with available facilities, morality, financial advantages, work environment, and work regulation systems. On the other hand, PHC workers were most satisfied with gratitude &esteem, autonomy, social advantages, self-expression, work style and work group. Exploring the relation between demographic and job characteristics separately with job satisfaction revealed that, older health workers, males, physicians and senior workers had significantly higher median [JSS]compared to their counterparts. Multiple logistic regression results, stepwise models revealed that, being male was a predictor for being a satisfied physician, carrying Bachelor certificates and increasing age were predictors for being a satisfied nurse, increasing age, decreasing duration of work and carrying certificate less than Bachelor were predictors for being a satisfied paramedical personnel. It was recommended that: workload should be reduced through reforming the primary health care system and PHC workers should be provided by in-service vocational training, adequate salaries and incentives, as well as adequate administrative support.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".