Organizational Culture, Job Satisfaction, and Clinician Turnover in Primary Care
Bibliographic record
Abstract
The purpose of this study is to examine how organizational culture and job satisfaction affect clinician turnover in primary care pediatric practices. One hundred thirty clinicians from 36 primary care pediatric practices completed the Primary Care Organizational Questionnaire (PCOQ), which evaluates interactions among members of the practice and job-related attributes measuring 8 organizational factors, along with a separate 3-item instrument measuring job satisfaction. Random effects logistic models were used to assess the associations between job satisfaction, the organizational factors from the PCOQ, and clinician turnover over the subsequent year. All 8 measured organizational factors from the PCOQ, particularly perceived effectiveness, were associated with job satisfaction. Five of the 8 organizational factors were also associated with clinician turnover. The effects of the organizational factors on turnover were substantially reduced in a model that included job satisfaction; only 1 organizational factor, communication between clinicians and nonclinicians, remained significant (P = .05). This suggests that organizational culture affects subsequent clinician turnover primarily through its effect on job satisfaction. Organizational culture, in particular perceived effectiveness and communication, affects job satisfaction, which in turn affects clinician turnover in primary care pediatric practices. Strategies to improve job satisfaction through changes in organizational culture could potentially reduce clinician turnover.
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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 | 0.003 | 0.017 |
| 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 | 0.001 | 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".