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Enregistrement W2891421936 · doi:10.5489/cuaj.5647

What’s in your toolkit? Guiding our patients through their shared decision-making

2018· editorial· en· W2891421936 sur OpenAlexaffvenueabout
Jason Izard, D. Robert Siemens

Notice bibliographique

RevueCanadian Urological Association Journal · 2018
Typeeditorial
Langueen
DomaineHealth Professions
ThématiquePatient-Provider Communication in Healthcare
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésComputer scienceMedical decision makingPsychologyMedicineMedical emergency

Résumé

récupéré en direct d'OpenAlex

n this edition of the Canadian Urological Association Journal, there exists an underlying theme regarding the informational needs of patients, including those requiring a metabolic workup for stones and those facing different treatment preferences for localized prostate cancer.Although it seems self-evident, our patients need and deserve timely, accurate information to make decisions around their diagnostic and treatment options.Failure to provide sufficient information is the most frequent source of patient dissatisfaction and decision regret.Yet the art and science of developing and providing health information that can be optimally used is far from perfect.Despite the amount of available resources and time we spend counselling our patients with prostate cancer, the article by Feldman-Steward et al suggests that almost one-quarter of all prostate cancer patients surveyed wanted more help than they received in making a treatment decision. 1Of those who desired more help, roughly half reported not feeling well-informed.One might suppose that the optics of this implication depend on whether you see the glass "half-full" or "half-empty."The fact that 52% of those who wanted more help making a decision still felt well-informed suggests that additional information may not aid in the decision-making process for these specific individuals.That in and of itself may suggest to some that all the counselling in the world may not be sufficient, and these patients are simply waiting for a divine epiphany to help guide their decisionmaking process.However, to others this may suggest half these patients do require more information and half these patients require different information.Prostate cancer care is complex and patients may have difficulty interpreting risks and benefits.These are frequently single-event probabilities of binary outcomes, provided to patients in the form of estimated risk ratios.Fundamentally, understanding this concept may be an issue with patient numeracy and health literacy, rather than in deficits in the quantity of information provided.Nonetheless, if we measure the quality of our treatment discussion by a patient's ability to understand the encounter, then we provide patients the same quality of care by discussing with them risk ratios they may not understand as we do by sitting silently across from them and ignoring their questions.Thus, it is not surprising that limited health literacy is associated with a preference for physician-directed as opposed to patient-directed treatment decisions. 2n an era where we are striving toward increased patient-centred care, it behooves us to ensure that patients understand the information we are attempting to convey.There is evidence that decision aids improve patient knowledge, reduce decisional regret, improve patient understanding of risk perception, and lead to patients taking on a more active role in their treatment decisions. 3If we cannot provide patients the information they require in a format they understand, or at least the resources to acquire that information, then patients may be forced to look to "Dr.Google" and less reputable sources.In this same issue of the CUAJ, Kobes et al documented the questionable reliability of many of the prostate cancer websites that patients may look to for their informational needs. 4Only 27% of the online websites surveyed identified the author of the information on the site.Furthermore, 60% of websites did not contain a list of references and only 25% contained two or more reliable references.These data indicate that patients are placed in the middle of a difficult conundrum, where they may not understand the information their urologist provides them, but the information they seek out to clarify these discussions may be of questionable quality.High-quality decisions aids have been suggested as a solution to help remedy this challenge.However, before we declare that all patients must be provided diseasespecific decision aids individualized to a numeracy and literacy level congruent with that particular patient, it may surprise some to learn then that decision aids themselves may be subject to the same flaws as the websites surveyed by Kobes et al.In an article

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)0,008
score de la tête « metaresearch » (Gemma)0,054
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: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,051

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,054
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0030,002
Études des sciences et des technologies0,0070,007
Communication savante0,0130,006
Science ouverte0,0040,003
Intégrité de la recherche0,0150,025
Charge utile insuffisante (le modèle a refusé de juger)0,0090,005

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 Opus0,157
Tête enseignante GPT0,406
Écart entre enseignants0,249 · 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
GenreÉditorial

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

En bref

Citations0
Publié2018
Routes d'admission3
Résumé présentoui

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