The New Zealand oral and maxillofacial surgeon workforce in 2017-18: characteristics, practice and prospects.
Bibliographic record
Abstract
AIM: To describe and consider the findings of a workforce survey of New Zealand Oral and Maxillofacial Surgeons (OMS) which was conducted in 2017-18, and to compare those to findings from a similar survey undertaken in 2001. METHODS: A questionnaire was used to obtain information on the qualifications, sociodemographic characteristics and and practising circumstances of all practising OMS in New Zealand. Data were analysed using SPSS (version 24). After the computation of descriptive statistics, cross-tabulations were used to identify differences in proportions (with those tested for statistical significance using Chi-squared tests), and analysis of variance was used to examine differences in means. RESULTS: All 39 OMS took part. There were 17 medically qualified surgeons who also held a surgical fellowship, comprising just under half of the workforce. Overall, one in eight surgeons worked solely in the public sector, while just under one-quarter worked solely in private; the remainder worked in both sectors. Dentoalveolar procedures were by far the most common undertaken (with considerably more done by older surgeons than younger ones), followed by implants, the treatment of facial trauma, skin lesions and surgery for malignancy. Orthognathic surgery and dentoalveolar trauma procedures were the least commonly reported. Only two-thirds of surgeons participated in public on-call work. While 95% of surgeons were indeed satisfied with their work, the lowest rate was observed among those working solely in the public sector, where it was 80%; among those working exclusively in private, it was 100%. Between 2001 and 2017-18, the proportion of medically qualified surgeons rose from just over one-quarter to more than two-thirds. The proportion of surgeons working solely in private practice rose from one in seven to almost one-quarter. There were marked increases in the mean number of malignancies dealt with and implants provided. CONCLUSION: The findings highlight a number of problems-some long-standing, others emerging-in New Zealand's OMS system. Fewer surgeons are participating in public sector provision and there is stress on those who remain. Workforce planners should be aware that more resources need to be put into training surgeons who will take up hospital appointments and provide essential after-hours emergency services.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".