Irremediable Psychiatric Suffering in The Context of Medical Assistance in Dying: A Delphi-Study
Bibliographic record
Abstract
OBJECTIVE: Patients with a psychiatric disorder are eligible to request medical assistance in dying (MAID) in a small but growing number of jurisdictions, including the Netherlands and Belgium. In Canada, MAID for mental illness will become possible in 2023. For this request to be granted, most of these jurisdictions demand that the patient is competent in her request, and that the suffering experienced is unbearable and irremediable. Especially the criterion of irremediability is challenging to establish in patients with psychiatric disorders. The aim of this research is to establish what criteria Dutch and Belgian experts agree to be necessary in characterising irremediable psychiatric suffering (IPS) in the context of MAID. METHODS: A two-round Delphi procedure among psychiatrists with relevant experience. RESULTS: Thirteen consensus criteria were established: five diagnostic and eight treatment-related criteria. Diagnostically, the participants deem a narrative description and attention to contextual and systemic factors necessary. Also, a mandatory second opinion is required. The criteria concerning treatment show that extensive biopsychosocial treatment is needed, and the suffering must be present for several years. Finally, in the case of refusal, the participants agree that there are limits to the number of diagnostic procedures or treatments a patient must undergo. CONCLUSIONS: Consensus was found among a Dutch and Belgian expert group on potential criteria for establishing IPS in the context of MAID. These criteria can be used in clinical decision-making and can inform future procedural demands and research.
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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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".