Notice bibliographique
Résumé
The 2 papers in this In Review section offer complementary perspectives on the field of psychotherapy research. The first article provides an overview of the current state of the field. The second article addresses directions the field should move in the future. Drafts of the 2 articles were prepared independently, with joint involvement occurring only during the revision process. It is noteworthy that each article highlighted 3 issues or themes as being of importance. Further, there are significant parallels in the 3 issues highlighted in each paper. The first article (1) is from the Edmonton Psychotherapy Research and Evaluation Unit at the Department of Psychiatry, University of Alberta. Our intent was to evaluate the status of 3 topics that have been predominant in the field over the past 2 decades. The first is the seemingly perennial question of the effectiveness of psychotherapy as a treatment for emotional problems, defined fairly generally. The technique of metaanalysis has allowed this question to be addressed in a more rigorous, quantitative manner than was possible before 1977. Metaanalytic reviews offer a compelling argument that the effectiveness of psychotherapy has been unequivocally demonstrated. Nonetheless, questions remain about the susceptibility of metaanalysis to bias, such as a particular reviewer's criteria for selecting representative studies to review. The second topic has a more recent history: The empirically supported treatment (EST) movement aims to identify psychotherapy approaches that have demonstrable effectiveness in the treatment of specific mental disorders. Studies providing the evidence for ESTs use randomized clinical trial designs and carefully select patients meeting diagnostic criteria for one or more specific disorders. Thus the studies are more focused than the psychotherapy studies included in most metaanalytic reviews. The EST movement has had considerable impact on clinical training and practice, particularly in the United States, and this has not been without controversy. We consider both the value and the limitations of the EST perspective. The third topic also has a long history in the field. In contrast to effectiveness studies or research to demonstrate an EST, the perspective focuses on possible therapeutic elements of psychotherapy that cut across orientations or interventions. That is, rather than searching for differences in effectiveness between treatments for the general class of emotional problems or specific disorders, common factors research emphasizes identifying the necessary factors associated with change in psychotherapy of whatever stripe. Common factors research thus tends to be more integrative (clumping rather than splitting) and has generated a considerable literature on important curative factors in the psychotherapeutic process. Unfortunately, most of these findings are based on correlational designs and thus offer little in terms of specifying causal mechanisms of change. A theme runs through our overview of these 3 topic areas. Although the field has definitely advanced-in terms of demonstrating the effectiveness of psychotherapy, identifying empirically supported therapies, and developing models of the essential factors involved in therapeutic change-critical deficiencies can be identified in each area. A complete understanding of how psychotherapy can actually bring about remediation and rehabilitation continues to remain, at best, only partially formulated. The second paper (2) describes a promising direction worth developing to deal with these stubborn critical deficiencies in our research approaches. We were fortunate to have Dr Karla Moras agree to serve as the author of this paper. Briefly, Dr Moras contends that needed advancements in psychotherapy research can now be accelerated by incorporating the findings and methods of contemporary neuroscience into our investigations. Dr Moras is a respected authority in the field, given her career affiliations with outstanding researchers (for example, graduate training with the late Hans Strupp at Vanderbilt University; a postdoctoral fellowship at the National Institute of Mental Health, with mentoring by Irene Elkin and Myrna Weissman; and a faculty involvement for 12 years with the Center for Psychotherapy Research at the University of Pennsylvania). …
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 distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».