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Enregistrement W2589712184 · doi:10.2215/cjn.00980117

Is the End in Sight for the “Don’t Ask, Don’t Tell” Approach to Advance Care Planning?

2017· letter· en· W2589712184 sur OpenAlexaff
Rachel C. Carson, Rachelle Bernacki

Notice bibliographique

RevueClinical Journal of the American Society of Nephrology · 2017
Typeletter
Langueen
DomaineMedicine
ThématiquePalliative Care and End-of-Life Issues
Établissements canadiensVancouver Island UniversityIsland Health
Organismes subventionnairesnon disponible
Mots-clésDocumentationAdvance care planningMedicineContext (archaeology)ConversationEnd-of-life careDistressQuality of life (healthcare)Palliative careHealth careNursingPsychologyClinical psychology

Résumé

récupéré en direct d'OpenAlex

As evidenced by the extended presence of books like Being Mortal by Atul Gawande and When Breath Becomes Air by the late Paul Kalanithi on the bestseller lists (1), it is clear that there is increasing public awareness and interest in end of life care and values-based medical decision making. Accompanying this increase in public interest is a growing recognition of the importance of advance care planning (ACP) and documentation, in particular for patients with serious illnesses. The outcomes of interventional aggressive care in those patients with a heavy burden of chronic illness have been shown to (1) result in distress in bereaved families (2), (2) cause moral distress in health care professionals (3,4), and (3) escalate costs without an accompanying measurable benefit to patients’ survival or quality of life at the end of life (5). High-quality conversations about values and goals, a crucial component of ACP, require time and skill on the part of health care professionals. A recent review by Lakin et al. (6) identified multiple barriers to communication in primary care, including deficits in prognostication skills. Many older studies in the literature have failed to show improvement in ACP or ACP documentation, despite intensive effort (7), and more recent studies confirm that poor rates of documentation of ACP persist (8). Fortunately, some more encouraging recent initiatives, such as the Respecting Choices program (9) and the Serious Illness Conversation Guide (10), have reported improved rates of documentation and associated improved outcomes (R. Bernacki et al., unpublished data). In this context, the paper by Kurella Tamura et al. (11) in this issue of the Clinical Journal of the American Society of Nephrology offers hope that, despite all of the barriers to ACP, patients whose health care teams make the effort to engage, document ACP, and identify surrogate decision makers have an associated reduction in intensity of invasive treatment at the end of life. Kurella Tamura et al. (11) examined a large 2006–2007 cohort of decedent nursing home residents using the federal Minimum Data Set (MDS). They compared prevalence of advance directives and identified surrogate decision makers for a group of dialysis-dependent patients versus a cohort of patients with other serious illnesses. These results add to growing evidence that, despite poor prognosis, patients on dialysis have particularly low rates of documented advance directives and identification of surrogate decision makers (12–14). However, within the renal cohort, the presence of an advance directive, identified surrogate decision maker, or particularly, both is associated with lower intensity of end of life care, fewer hospitalizations, and higher rates of discontinuation of dialysis. Unfortunately, the authors of this study were limited in the level of detail available in the MDS about the ACP process and conversations that occurred with this cohort of patients. Although all patients had complete data for do not resuscitate orders, there was incomplete information on other treatment limitations and/or presence of a surrogate decision maker. No narrative information regarding patient values and priorities exists in the MDS database, which was developed to ensure safety in nursing homes and therefore, focuses on these measures rather than patient values. Best practices in discussing goals of care include the following: sharing prognostic information, eliciting decision-making preferences, understanding fears and goals, exploring views on tradeoffs and impaired function, and wishes for family involvement (15). In October of 2015, the Centers for Medicare and Medicaid Services, recognizing the value of promoting ACP conversations, added specific billing codes to reimburse physicians for conversations about ACP; the aim of this policy change was to incentivize clinicians to spend time discussing patients’ care preferences and plans. ACP, above all, takes time, often more time than most physicians have to give, especially because episodic “rescue-oriented” care provided by many subspecialties (16) is rewarded more in our current system than longitudinal relationships and primary care. However, here is the conundrum: nephrologists and renal teams typically see patients on dialysis in nursing homes three times a week for the duration of their lives, arguably providing an ideal opportunity for longitudinal, unhurried conversations about what matters in the end with patients that we often get to know quite well. It is, therefore, particularly disappointing that renal patients fare so poorly compared with patients who have other chronic illnesses with better prognoses. The reasons for this difference are likely complex, but it may be that nephrologists simply do not know what to say or how to say it. Although some training programs in best practices in communication exist for nephrologists, such as NephroTalk (17), most nephrologists have not had access to this type of intensive training (18). Electronic health records (EHRs) can either further disrupt or facilitate the ACP process in patients on dialysis depending on how well they are designed (19) and the degree to which this documentation is available in different care settings. A well designed EHR interface can facilitate the conversations, providing key information from which to launch directly from a previous discussion into discussing the patient’s current health status. Indeed, having these deeply meaningful conversations with patients is a powerful antidote to the despair and burnout in physicians that has been shown to be associated with the ascension of EHR tick boxes in the practice of medicine (20,21). The results of this study are for a cohort from 2006, and since that time, there has been escalating interest in improving ACP processes for renal patients (22,23). In fact, a recent review outlined best practices in conducting serious illness conversations and offered solutions to overcome barriers as well as practical advice, including specific language and tools, to implement serious illness conversations in the dialysis population (24). Nephrologists practicing now would do well to view the work by Kurella Tamura et al. (11) as evidence that we need to challenge ourselves and support each other to keep improving the way that we engage in and document ACP with our patients. Disclosures None.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,019
score de la tête « metaresearch » (Gemma)0,082
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,102

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0190,082
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0070,018
Communication savante0,0100,019
Science ouverte0,0030,008
Intégrité de la recherche0,0090,028
Charge utile insuffisante (le modèle a refusé de juger)0,0170,005

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.

Tête enseignante Opus0,164
Tête enseignante GPT0,471
Écart entre enseignants0,308 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2017
Routes d'admission1
Résumé présentoui

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