Potential Utility of an Independent Decision-Making Board for Seriously Ill Patients Lacking Decisional Capacity
Notice bibliographique
Résumé
Published: B. A. Noah, Potential Utility of an Independent Decision-Making Board for Seriously Ill Patients Lacking Decisional Capacity, 6 ETHICS, MED. AND PUB. HEALTH J. 63 (2018). Physicians acknowledge that they are providing unnecessary medical care at the end of life for a variety of reasons, including fear of malpractice litigation, Medicare’s fee-for service reimbursement mechanism, patient and family requests for care, a culture of denial of mortality, and a physician culture which views a patient’s death as a professional failure. Recent data suggest that more than one-fifth of medical care provided at the end of life is unnecessary. Although the problem of over-provision of medical care is now well recognized in the legal and medical literatures, private-ordering solutions, such as better communication training for physicians or improved patient decision aids, will have only marginally ameliorating effects. The inherent challenges in making medical decisions during terminal illness become even more complex when patients are unable to make these choices for themselves. Although patient autonomy, implemented via informed consent, is the primary principle that governs medical decision-making, including on behalf of patients who have lost decisional capacity, insufficient evidence of the patient’s wishes coupled with uncertainty about prognosis often leaves physicians and family members in a quandary as to whether to implement or to continue providing therapeutic treatment or life-prolonging care. The default operation of the surrogate consent process in the U.S. means that, for patients who do not clearly opt out of life-prolonging treatment before losing decisional capacity, the path of least resistance often will lead to decisions in favor of initiating or continuing life-prolonging care. This state of affairs can lead to substantial stress for all parties concerned, along with the potential for conflict. This Article considers the potential utility and transplantability of a Canadian public decision-support mechanism in this context. In 1996, the provincial government of Ontario implemented a Consent and Capacity Board (CCB), an independent expert body charged, among other things, to mediate and resolve disputes in the context of surrogate decision-making. Two-plus decades of CCB evidence suggest this it provides a better shared, less confrontational and more robust decision-making process than is currently available within the U.S. surrogate decision-making rules. Thus, a CCB type mechanism has the potential to also improve surrogate decision-making at the end of life in the U.S. and this paper discusses the extent to which it is capable of being ‘‘transplanted’’ into the U.S. health system on a state-by-state basis.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,081 | 0,257 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,007 | 0,008 |
| Communication savante | 0,011 | 0,008 |
| Science ouverte | 0,004 | 0,012 |
| Intégrité de la recherche | 0,011 | 0,015 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,032 | 0,006 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».