Factors for and against establishing and working in private practice correlated with work-related behavior and experience patterns of Ferman physicians in Schleswig-Holstein: A 2-year longitudinal study
Bibliographic record
Abstract
OBJECTIVES: To identify factors in favor of or against establishing and working in private practice, to determine the quality of life and work-related behavior and experience patterns of German physicians working in private practice, and to analyze the correlation of those factors. MATERIAL AND METHODS: A representative sample of physicians in private practice in Schleswig-Holstein, Germany, was surveyed according to a 2-year longitudinal design (T1 - 2008, N = 549 and T2 - 2010, N = 414). The study included 22 items regarding the attractiveness of establishing and working in private practice, and the questionnaires: the Short Form-12 Health Survey (SF-12), and Work-related Behavior and Experience Pattern (Arbeitsbezogenes Verhaltens- und Erlebensmuster - AVEM). RESULTS: Job satisfaction among those private practitioners decreased over time but their willingness to choose the profession once again remained unchanged. Patient care and the continuity of physician-patient relationship encouraged establishing and working in private practice; state regulation, financial risk, and administrative effort weighed against it. At both T1 and T2, physicians scored significantly lower for mental health than general population. About 20% of physicians showed a healthy behavior and experience pattern but 40% of them showed the pattern of reduced working motivation. About 20% of participants were at elevated risk for overexertion and for burnout. Physical and mental health as well as the total distribution of patterns did not change significantly during the 2-year observation period. Physicians at higher burnout risk rated tasks related to patient care considerably less positively than those with healthy pattern. CONCLUSIONS: In order to improve job satisfaction and quality of life, and to make private practice more attractive, those German physicians require a) improved legislation, b) educational programs that promote the attractiveness of private practice, and c) highly accessible counseling services for the prevention and treatment of stress, overexertion, and burnout. Int J Occup Med Environ Health 2017;30(3):485-498.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".