Delivery of Electroconvulsive Therapy in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: The aims of this study were to document electroconvulsive therapy use in Canada with respect to treatment facilities and caseloads based on a survey of practice (Canadian Electroconvulsive Therapy Survey/Enquete Canadienne Sur Les Electrochocs-CANECTS/ECANEC) and to consider these findings in the context of guideline recommendations. METHOD: All 1273 registered hospitals in Canada were contacted, and 175 sites were identified as providing electroconvulsive therapy; these sites were invited to complete a comprehensive questionnaire. The survey period was calendar year 2006 or fiscal year 2006/2007. National usage rates were estimated from the responses. RESULTS: Sixty-one percent of the sites completed the questionnaire; a further 10% provided caseload data. Seventy were identified as general; 31, as university teaching; and 21, as provincial psychiatric/other single specialty (psychiatric) hospitals. Caseload volumes ranged from a mean of fewer than 2 to greater than 30 treatments per week. Estimated national usage during the 1-year survey period was 7340 to 8083 patients (2.32-2.56 per 10,000 population) and 66,791 to 67,424 treatments (2.11-2.13 per 1000 population). The diagnostic indications, admission status, and protocols for course end points are described. CONCLUSIONS: The usage rates are in keeping with earlier Canadian data and with those from other jurisdictions. The difficulty obtaining caseload data from individual hospitals is indicative of the need for standardized data collection to support both clinical research and quality assurance. The wide variation in protocols for number of treatments per course indicates a need for better informed clinical guidelines. The broad range of caseload volumes suggests the need to review the economies of scale in the field.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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