Greatly increased Victorian outpatient private psychiatric care during the COVID-19 pandemic: new MBS-telehealth-item and face-to-face psychiatrist office-based services from April–September 2020
Bibliographic record
Abstract
OBJECTIVE: The Australian Federal government introduced new COVID-19-Psychiatrist-Medicare-Benefits-Schedule (MBS) telehealth-items to assist with providing private specialist care. We investigate private psychiatrists' uptake of telehealth, and face-to-face consultations for April-September 2020 for the state of Victoria, which experienced two consecutive waves of COVID-19. We compare these to the same 6 months in 2019. METHOD: MBS-item-consultation data were extracted for video, telephone and face-to-face consultations with a psychiatrist for April-September 2020 and compared to face-to-face consultations in the same period of 2019 Victoria-wide, and for all of Australia. RESULTS: Total Victorian psychiatry consultations (telehealth and face-to-face) rose by 19% in April-September 2020 compared to 2019, with telehealth comprising 73% of this total. Victoria's increase in total psychiatry consultations was 5% higher than the all-Australian increase. Face-to-face consultations in April-September 2020 were only 46% of the comparative 2019 consultations. Consultations of less than 15 min duration (87% telephone and 13% video) tripled in April-September 2020, compared to the same period last year. Video consultations comprised 41% of total telehealth provision: these were used mainly for new patient assessments and longer consultations. CONCLUSIONS: During the pandemic, Victorian private psychiatrists used COVID-19-MBS-telehealth-items to substantially increase the number of total patient care consultations for 2020 compared to 2019.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".