A research about job satisfaction of medical secretaries working in a public hospital in the city center of Diyarbakir, Turkey
Bibliographic record
Abstract
Objective: The aim of this study was to investigate the level of job satisfaction among medical secretaries and to identify the major predictors that affect their complaints about work.Methods: The data were obtained from 115 medical secretaries working in a public hospital. We didn’t use any sampling method but tried to reach the whole population in the hospital. As a survey method, Spector Job Satisfaction Survey (JSS, 1985) has been used. JSS is a 36 item, nine facet scale (pay, promotion, supervision, fringe benefits, contingent rewards, operating conditions, coworkers, nature of work and communication) in order to assess employee attitudes about the job and aspects of the job. Its reliability has been measured by the Cronbach Alpha test. Employees were compared according to their gender, age, marital status, education, working status (official-employed by government/ casual staff-employed by firms), working experience (years) and working position (administrative-clinical). Descriptive statistics, significance tests and confidence tests were gained by SPSS 16.0.Results: Findings showed that gender and marital status affect satisfaction but age doesn’t play a big role. Male participants were more satisfied in terms of promotion (χ2 = 27.506, p < .001) and supervision (X2= 29.852, p < .001) facets. In terms of pay (X2 = 15.764, p < .01), fringe benefits (X2 = 24.948, p < .001), and contingent rewards (X2 = 26.396, p < .001) single participants were more satisfied relative to married ones. Also, participants who had working experience over 10 years were more satisfied. The highest significance levels were seen in working position (administrative/clinical) and working status (official-casual). Participants working official and at administrative positions were more satisfied on various facets.Conclusions: Based on outcomes of this study, it is observed that lowest satisfaction levels were found in pay, promotion, and communication facets. Participants were more satisfied with nature of work, supervision and fringe benefits. Participants working at administrative positions were more satisfied in terms of supervision, coworkers, and nature of work facets. In clinics health workers have more work to do and this may lead to dissatisfaction in relationships with coworkers and supervisors. Because of the fact that working casually means inconsistency of work, hard working conditions, lower payments and impossibility of promotion, participants working casually were dissatisfied in terms of pay, supervision, coworkers, communication and nature of work facets. It is obviously seen that the government has deficiency about describing responsibilities and rights of medical secretaries. The status of work should be strengthened and their future at work should be taken under assurance.
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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 | 0.002 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".