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Enregistrement W2150923287 · doi:10.1177/1084713811425751

The Need for Evidence in an Anecdotal World

2011· editorial· en· W2150923287 sur OpenAlex

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Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueTrends in Amplification · 2011
Typeeditorial
Langueen
DomaineDecision Sciences
ThématiqueMeta-analysis and systematic reviews
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRandomized controlled trialScientific evidenceOutcome (game theory)Health carePsychologyProcess (computing)Patient satisfactionMEDLINEEvidence-based medicineMedicineAlternative medicineNursingComputer scienceSurgeryPolitical science

Résumé

récupéré en direct d'OpenAlex

One of the most difficult aspects of providing health care is the tension that exists between objective evidence, collectively accumulated over generations, and the fact that subjective practitioners deliver care one patient at a time. Although we may strive to understand the continuously developing scientific literature that is the foundation of our understanding of disease, it still remains far from obvious how exactly that literature should be applied to a patient who needs help. In science, the ostensible goal is the generation of data and knowledge that can then be applied as necessary. However, the delivery of health care is not a pure scientific process. There are many cases in which a patient’s satisfaction with his or her treatment will take precedence over the provider’s view of how well the treatment adhered to the best available evidence. And in the end, all of the evidence in the world may provide little comfort to a patient who has a poor outcome. There is a wide range of variables beyond a provider’s control that ultimately may have as huge an impact on a patient’s outcome as any randomized controlled trial. Rational decision making is easily disturbed when it comes to factors such as money, time, and emotion. Even when randomized controlled trials exist, it is often unclear how the results should be applied to patients whose profiles do not quite match those of the patients who were enrolled in the trials. As a result of these difficulties, there has been an ever-increasing emphasis on applicability—hence, the trend toward more translational research and the rise of clinician-scientists who naturally approach basic science from a clinical perspective. Meta-analysis has evolved as a useful approach to gather, evaluate, and consolidate the broad range of data available on just about any topic. The proper design and execution of randomized controlled clinical trials are widely accepted as the gold standards to be used when evaluating the quality of scientific data. These important developments, however, also shed an uncomfortable light on just how poor most of the clinical data have been to date (and continues to be today). This is not simply attributable to ignorance or lack of effort but instead to the realities of patient care where most questions to be answered just do not have randomized controlled trial data on which to base the answer. In the treatment of carcinomas of the ear, for example, this type of rigorous evidence is hard to come by. When a patient presents with this disease, surgeons do the best they can to interpret the available literature. However, the stakes are too high to proceed slowly, waiting for better data to become available as a tumor grows. As a result, we proceed swiftly, aware that our decisions are not based on the best possible evidence but rather that there are few alternatives—a decision must be made. Although not every patient has a life-threatening condition, this situation has obvious parallels to more routine situations—which hearing aid is really the best for a patient? What is the quality of the evidence to support one’s decision? It is almost impossible to ignore one’s own experience. In other words, the personal experiences we have as providers—anecdotal evidence if it were to be evaluated—typically do affect how we make decisions. Some of the wisest, most experienced practitioners in the world today are valued precisely because of the wealth of anecdotal evidence that they possess, and for a patient, it is more comforting to have an experienced, confident health care provider who has “seen it all,” than to have a naive student who may know the scientific literature extremely well yet has little personal experience. Most of the details that separate an experienced clinician from an inexperienced clinician will never be substantiated by high-level evidence and will instead remain anecdotal. Thus, it is important to acknowledge that we live anecdotal lives, personally, professionally, and even scientifically. The mistake, however, is to overestimate the significance of one’s own anecdotal evidence. What if two experienced practitioners have had completely valid yet exactly opposite experiences? It would be difficult to know how to decide the best course of action if we only had the benefit of these two opinions, as valuable as they may be. Instead, we would want to look beyond the experience of these two individuals. We would want to benefit from the accumulated wisdom and experiences of all of the practitioners that have encountered similar situations. We would want an unbiased, objective understanding of what the outcomes were. We would want to have all of the best available evidence, and we would want to differentiate this type of evidence from anecdotes that may be fascinating but perhaps irrelevant. We would also want to recognize that this evidence, however high in quality, is intrinsically limited and will itself become supplanted by newer, better evidence in the future. With this background in mind, I applaud the authors of the series of four articles presented here in this double issue. This series of articles begins with the idea that although evidence-based practice can be fraught with difficulties, it remains important to integrate high-quality research evidence and clinical experience to improve the quality and effectiveness of treatment for the patients in our care. The second article uses a knowledge-to-action framework to complete a synthesis of current audiological outcome measures for infants and children to be considered for inclusion in a guideline for clinical practice. The third article uses a pediatric audiologist community of practice to evaluate the individual components of the guideline called The University of Western Ontario Pediatric Audiological Monitoring Protocol (UWO PedAMP). The fourth article presents clinical data from infants and children with hearing loss who wear hearing aids to supply further evidence, including case studies, to augment clinical implementation of the UWO PedAMP in practice. It is notable how the articles presented here, though based on research done in Canada, apply equally well to those of us in other parts of the world. To me, these articles are a clear reminder that the hearing health sciences have often lagged behind in this effort to employ evidence-based practice. Articles like the ones presented here will hopefully contribute in a significant way toward the cultural shift—yes, our own lives are anecdotal and this is often how we learn. When it comes to proper treatment decisions for the delivery of health care, however, we should find something better than that.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,120
score de la tête « metaresearch » (Gemma)0,067
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMétarecherche
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 enseignants0,345
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,1200,067
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0020,003
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0040,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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 Opus0,846
Tête enseignante GPT0,588
Écart entre enseignants0,258 · 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