Review of Handbook of Clinical Health Psychology: Volume 1, Medical Disorders and Behavioral Applications.
Notice bibliographique
Résumé
SUZANNE BENNETT JOHNSON, NATHAN W. PERRY, JR., and RONALD H. ROZENSKY (Volume Eds.) Handbook of Clinical Health Psychology: Volume 1, Medical Disorders and Behavioral Applications Washington DC: American Psychological Association, 2002, 654 pages. (ISBN 1-55798-909-5, US$69.95 Hardcover) The goal of the three volume Handbook of Clinical Health Psychology, published by The American Psychological Association, is to describe in detail health psychology's contribution to scientific knowledge and improved health care delivery. The information to be covered makes this series of three handbooks the first comprehensive effort to characterize the field of health psychology. As noted in the series introduction, it does this by describing health psychology's scientific basis, delineating specific techniques and evaluation procedures, and by demonstrating applications of health psychology to the full range of medical diagnoses. This is extremely worthwhile, given how slowly physicians, the patient population, and third-party payers have been to recognize the positive impact that psychological interventions have on health care delivery. This handbook's publication is particularly timely, given the recent reduction of psychological services in many Canadian hospitals. The first volume in this series is entitled: Medical Disorders and Behavioral Applications. Forthcoming titles in the series are: Volume 2: Disorders of Behavior and Health, and Volume 3: Models and Perspectives in Clinical Health Psychology. Volume 1 focuses on health psychology's contributions to the management of specific diseases and disorders. The volume is organized around the International Classification of Diseases, Ninth Revision (ICD-9, 1998), a coding system used in the U.S. and commonly used worldwide. This volume is comprised of 17 chapters exactly paralleling the 17 categories into which the ICD-9 organizes diseases and disorders. In each of these chapters, chapter authors, typically health psychologists with experience in one or more of the chapter's disorder, first briefly describe the diseases and disorders that fall within their specific ICD-9 disease category (e.g., Chapter 8, Diseases of the Respiratory System). Next, the authors provide some epidemiological data relevant to these diseases and disorders and highlight health psychology's contributions to these conditions. Finally, chapter authors conclude by commenting on areas in which health psychology may yet have made minimal impact and suggest opportunities for new research and applications. The volume does a good job in providing a systematic overview of all the ICD-9 disease categories, with the disease and disorder descriptions included in each chapter being particularly comprehensive. However, adopting the ICD-9 organizational approach, as this volume does, has some drawbacks. The first being the ICD-9's rather rigid mind-body dualism, that may be contrary to the biopsychosocial model which underlies the health psychology approach. For example, the ICD-9 classification system deems that physical diseases seen as being in some way psychogenic in origin are to be classified under Mental Disorders whereas if they are seen as organic in origin they may be classified under their specific disease category and never the twain shall meet. …
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,007 | 0,009 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,056 | 0,044 |
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 source (Gemma direct ou Codex distillé), 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 ».