MétaCan
Menu
Retour à la cohorte
Enregistrement W818346090

Evidence-Based Research: The Importance for the Present and Future of Evidence-Based Practice

2014· article· en· W818346090 sur OpenAlexaboutno aff
Demetris Katsikis

Notice bibliographique

RevueJournal of Evidence-Based Psychotherapies · 2014
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth Sciences Research and Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCornerstoneMultidisciplinary approachCoachingPsychologyHealth careRandomized controlled trialMental healthAlternative medicineMedical educationEvidence-based practiceScientific evidencePsychotherapistPublic relationsEngineering ethicsMedicinePolitical scienceSociologySocial scienceLawEpistemologyEngineering
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

IntroductionEvidence Based Research (EBR) is a multidisciplinary approach to practice that signifies a scientific base not for effectiveness but also for efficacy of treatment programs. Not all mental health professionals know and/or receive training in and consequently many people do not receive accountable services. Yet, it is widely accepted that professionals must be well- informed about the newest knowledge in order to best serve their clients and remain professionally relevant and responsible (Patterson-Silver Wolf, Dulmus, & Maguin, 2012) because a vast amount of studies have demonstrated improved health outcomes and a general attitude that treatments should be based in scientific evidence (Institute of Medicine, 2001).EBR was fully unfolded back in the 90's as the cornerstone of contemporary medicine for the improvement of physical health and as a means of protection from the dangers of non-scientific views. The contemporary scientific seeds of had already been planted by Cochrane (1972), who suggested that because resources would always be limited, they should be used wisely to provide forms of health care which had been shown in properly designed evaluations to be effective, while he maintained that the most reliable evidence was that which came from Randomized Controlled Trials (RCT's). Generally, is spread into a variety of fields such as psychology (and psychotherapy), medicine, education, finance, nursing, social work. For the last ten years, it has also been extended in coaching practice as a golden standard (David, 2014; Cavanagh, Grant, & Kemp, 2005) promoting accountable and valid data about what works best on a continuum of efficacy. (that leads to Evidence-Based Practice, EBP) was recommended by various scientific organizations and managed care systems as the rule of thumb for more cost-effective services (e.g. see Canadian Psychological Association, 2012; National Institute for Clinical Excellence, 2009; The Australian Psychological Society, 2010). The lack of valid scientific evidence for a more efficacious practice had already tormented the field of psychotherapy for more than a century. Conversely, in the same field, EBP promotes the idea that efficacy is not a matter of psychotherapeutic approach, but a matter of what works, for whom, under which circumstances, and with which tools (Miller, Zweben, & Johnson, 2005).EBP involves comprehensive processes of decision making and problem solving according to the setting, the characteristics of clients and the available evidence. It is in opposition with biased folklore, traditional and lore-based approaches unless they are rigorously tested. From an EBP perspective, human care is conceptualized as ever-changing, full of uncertainties and probabilities but with a potentially effective corpus of knowledge that is dynamically transformed according to multiple health needs. For example, EBP does not test directly the efficacy of different approaches, but also tests the best possible matching of individual characteristics to different treatment modalities.The main concept of and EBP is based on the importance of interpretation of research results into meaningful practice. provides the platform for the essential transfer of research data into practice. Contrary to the frequent view that evidence-based means something quantitative only or that EBR doesn't consider personal judgment, embraces the movement of high-quality research with the mixed-method design approaches being one of the newest advancements in the world for the last ten years at least (see Creswell, 2009). Also, appropriate promotes the idea of personal judgment (see practice-based evidence: Peile, 2004), although research has shown that personal judgment is inferior to actuarial (e.g. empirical) judgment (e.g. Dawes, Faust & Meehl, 1989). Most importantly, promotes rigorous methodological considerations, guidelines, methods, techniques and a mindset that widens the validity of research data. …

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)0,268
score de la tête « metaresearch » (Gemma)0,455
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,732
Score d'incertitude au seuil0,902

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,2680,455
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0080,003
Bibliométrie0,0110,010
Études des sciences et des technologies0,0040,027
Communication savante0,0300,036
Science ouverte0,0070,011
Intégrité de la recherche0,0290,034
Charge utile insuffisante (le modèle a refusé de juger)0,0100,004

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 Opus0,698
Tête enseignante GPT0,595
Écart entre enseignants0,103 · 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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeThéorique ou conceptuel
DomaineMéthodes
GenreEmpirique

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

En bref

Citations6
Publié2014
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueJournal of Evidence-Based PsychotherapiesMême sujetHealth Sciences Research and EducationTravaux en français237 207