Factors Influencing the Reporting of Notifiable Conduct in Health Professionals in Australia
Bibliographic record
Abstract
Objective: Notification of misconduct is a requirement by the Australian Health Practitioner Regulatory Agency. The study focuses on examining the factors that influence the intention to report misconduct by applying the Theory of planned behavior model. Method: The quantitative online survey study using vignettes and questionnaires examined one hundred and seventy-two regulated health professionals on factors that may impact the willingness to report on notifiable conduct. Results: The findings indicate that clinicians were more inclined to report on sexual misconduct and alcohol misuse conduct, however, they did not report on clinicians’ competencies. Perceived behavior control, descriptive norms, and subjective norms predicted intention to report notifiable conduct, while attitude was not a predictor. Clinicians with a higher reporting intention were more likely to engage in actual reporting behavior. The behavioral pattern of reporting notifiable conduct did not differ among the three health professional groups. Conclusion: The findings identify important factors that assist clinicians in their decision-making when reporting observed misconduct. Awareness of these factors reduces health care related misconduct. That is, organizations are encouraged to develop specific programs that facilitate clinicians’ decision making by educating and refreshing their knowledge of the factors impacting their intention to report misconducts.
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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 | 0.070 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".