Evaluation of Job Satisfaction and Job Related Stress Among Community Pharmacists in North Khartoum and its Impact on Providing Pharmaceutical Care Services
Bibliographic record
Abstract
Introduction Pharmacists and pharmaceutical care services are among the most important tools in providing health services to the society. Pharmacists as the key players in presenting health services, critically impact on the health of the society and if they suffer low job satisfaction, their dissatisfaction may relatively threaten health in the society. This study was conducted to determine Sudanese community pharmacists’ job satisfaction and additionally, some causes of dissatisfaction among community pharmacists and their impact on providing pharmaceutical care services have been evaluated. Method The questionnaire was designed after reviewing relevant Literature in addition, The Job Satisfaction survey was used to measure the level of community pharmacists’ satisfaction with their current jobs, and the Toronto Alexithymia Scale (TAS-20) was used to evaluate emotional experience and awareness. Results and Discussion Generally low scores of job satisfaction were concluded among pharmacists while most of them were highly satisfied with being pharmacist. Conclusion Low levels of job satisfaction which were found among Sudanese community pharmacists could be considered as a deficiency of health system in Sudan. Fortunately, inherent interest in the pharmacy profession found among Sudanese pharmacists is an optimistic point at which policy-makers could develop their modifying policies. Health policy-makers must endeavor to take other steps to issue solutions for this current problem.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".