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Enregistrement W2885347751 · doi:10.1097/corr.0000000000000396

CORR Insights®: Patient Perceptions Correlate Weakly With Observed Patient Involvement in Decision-making in Orthopaedic Surgery

2018· letter· en· W2885347751 sur OpenAlexafffundabout
Kim Madden

Notice bibliographique

RevueClinical Orthopaedics and Related Research · 2018
Typeletter
Langueen
DomaineHealth Professions
ThématiquePatient-Provider Communication in Healthcare
Établissements canadiensMcMaster UniversityImpact
Organismes subventionnairesMcMaster University
Mots-clésMedicineEvidence-based medicineJudgementMEDLINEDecision aidsPatient participationSports medicinePatient satisfactionClinical decision makingAlternative medicineFamily medicinePhysical therapyNursingPathology

Résumé

récupéré en direct d'OpenAlex

Where Are We Now? David Sackett’s often-quoted definition of evidence-based medicine includes three key aspects: Patient values, clinical expertise, and best evidence [10]. Shared decision-making—the process of empowering patients to play an active role in their care—may be the epitome of evidence-based medicine, as it involves taking the best-available information and communicating it to the patient through the lens of the clinician’s best judgement, while also considering the patient’s values and preferences in the decision-making process. A Cochrane review of 115 trials in all specialties found that using decision aids to facilitate shared decision-making resulted in better doctor-patient communication, improved patient knowledge, and better patient comfort with the decision [12]. In the current study, Mertz and colleagues [9] asked 117 orthopaedic patients to rate their level of involvement in the decision-making process and they compared the patients’ perceptions with an objective measure of patient involvement. They found that patient-perceived involvement and observed involvement were weakly correlated and that patients perceived that they were more involved than they were, according to objective observations. These findings are in line with findings in other specialties [4] and they highlight some of the complexities surrounding shared decision-making in orthopaedics. This study opens the door for orthopaedic surgeons to have a conversation about patient involvement in decision-making and conducting further research and education on the topic. Where Do We Need To Go? After reading the study by Mertz and colleagues [9], a few questions remain about shared decision-making in orthopaedics. First, given the discordance between patient-perceived involvement and objective measures of involvement in decision-making, is objective involvement important, or is it the patient’s perceptions that matter more? One could argue that the most-important outcome of a shared decision-making encounter is that the patient is satisfied with the encounter and the decision. This line of thinking arises from the concept that patients are partners in the medical treatment process and not just passive agents who have particular treatments done to them. Additionally, Mertz and colleagues point out that patient satisfaction with decision-making can be associated with improved health outcomes. Perhaps we should focus our attention on patient-perceived involvement rather than objective involvement. Next, how can we improve and promote patient involvement (or perceptions of involvement)? There are several barriers to implementing shared decision-making strategies, including both patient-related factors and physician factors. A major barrier to shared decision-making is the physician’s perception that some patients don’t want to be involved in decision-making [7]. However, some research shows that most patients would prefer to be more involved in the decision-making process, so this belief is more of a myth than reality [5]. Other barriers such as negative surgeon perceptions, as well as time constraints, can be identified and targeted with interventions to break down those barriers. Finally, how does patient involvement in decision-making impact patient-important health outcomes and healthcare costs? A recent Cochrane in CORR® article [8] noted that there is a gap in knowledge when it comes to whether shared decision-making affects health outcomes, and there is limited cost-effectiveness information regarding shared decision-making programs. Some studies have shown that shared decision-making can improve health outcomes such as general physical function [1], but a Cochrane review showed no difference in health outcomes in most included studies [12]. The Cochrane review also demonstrated that patients who were exposed to shared decision-making through decision aids were less likely to choose elective surgical treatment, and that consults took longer when physicians used shared decision-making strategies [12]. This may have implications for healthcare costs and cost-effectiveness measures. How Do We Get There? Shared decision-making can thrive when patients and surgeons have the best-available information, meaning that high-quality research is needed in all areas where shared decision-making is used. For example, there are high-quality recommendations to avoid arthroscopic surgery for degenerative knee disorders [11], so patients facing the decision to undergo arthroscopic surgery will have high-quality information on which to base their decisions. Other treatment options, for example reverse total shoulder arthroplasty, may not have as much high-quality evidence to inform decisions. But it should be noted that the fact that there are guidelines does not guarantee that they are used in clinical practice [6]. The research process itself should also involve patients to ensure that patient values are being considered and the research will be useful to patients and surgeons to enhance uptake and use in clinical practice [2]. Future studies should focus on developing and evaluating surgeon-education programs that address actual and perceived barriers to implementing shared decision-making strategies in everyday practice. For example, Légaré and colleagues [5] presented 12 myths regarding shared decision-making and they dispel those myths with evidence, and in their study, Jo and An educated nurses on shared decision-making which improved nurses’ perceptions [3], which could be a good starting point on which to build future research in this area. Finally, as there is limited information on orthopaedic-specific health outcomes when implementing shared decision-making, future longitudinal studies should be conducted assessing outcomes that are important to the orthopaedic treatment of interest (such as post-surgical pain, joint-specific function, and reoperations). This can be better achieved by including orthopaedic patients in research protocol development, for example using strategies suggested by the Strategy for Patient-Oriented Research in Canada or Patient-Centered Outcomes Research Institute in the United States. Cost-effectiveness should also be assessed in conjunction with any future research by involving health technology assessment or health economics experts in protocol development. For efficiency, many cost-effectiveness designs can be integrated into other designs such as randomized trials.

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)0,006
score de la tête « metaresearch » (Gemma)0,124
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,102
Score d'incertitude au seuil0,343

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,124
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,001
Communication savante0,0030,003
Science ouverte0,0010,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,1020,017

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 Opus0,364
Tête enseignante GPT0,481
Écart entre enseignants0,117 · 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'étudeObservationnel
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

Citations1
Publié2018
Routes d'admission3
Résumé présentoui

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