Increased Australian outpatient private practice psychiatric care during the COVID-19 pandemic: usage of new MBS-telehealth item and face-to-face psychiatrist office-based services in Quarter 3, 2020
Why this work is in the frame
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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 video and telephone telehealth, as well as total (telehealth and face-to-face) consultations for Quarter 3 (July-September), 2020. We compare these to the same quarter in 2019. METHOD: MBS-item service data were extracted for COVID-19-psychiatrist video and telephone telehealth item numbers and compared with Quarter 3 (July-September), 2019, of face-to-face consultations for the whole of Australia. RESULTS: The number of psychiatry consultations (telehealth and face-to-face) rose during the first wave of the pandemic in Quarter 3, 2020, by 14% compared to Quarter 3, 2019, with telehealth 43% of this total. Face-to-face consultations in Quarter 3, 2020 were only 64% of the comparative number of Quarter 3, 2019 consultations. Most telehealth involved short telephone consultations of ⩽15-30 min. Video consultations comprised 42% of total telehealth provision: these were for new patient assessments and longer consultations. These figures represent increased face-to-face consultation compared to Quarter 2, 2020, with substantial maintenance of telehealth consultations. CONCLUSIONS: Private psychiatrists continued using the new COVID-19 MBS telehealth items for Quarter 3, 2020 to increase the number of patient care contacts in the context of decreased face-to-face consultations compared to 2019, but increased face-to-face consultations compared to Quarter 2, 2020.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it