Decision‐making capacity assessment education
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: As the elderly population and associated number of persons with dementia increase, so does the need for decision-making capacity assessments (DMCAs). Many healthcare professionals (HCPs), however, do not feel prepared to conduct DMCAs. We have provided 4-h DMCA workshops to HCPs since 2006 and offered physicians either a 3-h or 2-day DMCA workshop from 2013 to present. We evaluated the effectiveness of the workshops on self-reported key concepts of capacity. DESIGN: Pre-/post-test design. SETTING: DMCA workshops for physicians across Canada and HCPs within Alberta. PARTICIPANTS: Two hundred and eighty-one physicians and 835 HCPs. MEASUREMENTS: Pre-/post-workshop ratings on level of comfort with and understanding of 15 core DMCA concepts using 4-point Likert-type items. RESULTS: For the DMCA workshops among physicians, ten 3-h workshops were held in 2014-2015 with 166 participants and seven 2-day workshops, between 2014 and 2018, with 115 participants. With respect to the self-report on core DMCA concepts, at least 62.7% (range: 62.7%-89.6%) of physician participants had higher post-workshop ratings (sign test; p < 0.001) than pre-workshop ratings for all core DMCA concepts. For the DMCA workshops among HCPs, 4-h workshops were delivered to 835 HCP participants from 2008 to 2012. At least 49.6% of participants (range: 49.6%-78.9%) had increased post-workshop ratings (sign test; p < 0.001) for all level of comfort items with and understanding of core DMCA concepts. CONCLUSION: There is a need for DMCA training for physicians and HCPs. The content and method of the workshops are effective at enhancing self-reported level of comfort with and understanding of core DMCA concepts.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".