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Enregistrement W1942388286 · doi:10.1002/j.2051-5545.2008.tb00183.x

The promises and challenges of early intervention in psychotic disorders

2008· article· en· W1942388286 sur OpenAlexaff
Ashok Malla

Notice bibliographique

RevueWorld Psychiatry · 2008
Typearticle
Langueen
DomaineMedicine
ThématiqueSchizophrenia research and treatment
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésIntervention (counseling)PsychiatrySchizophrenia (object-oriented programming)PsychosisPsychologyPsychotherapistMedicineMental health

Résumé

récupéré en direct d'OpenAlex

A burgeoning interest in understanding and treating the early phase of psychotic disorders, especially schizophrenia, has brought forth a sense of optimism of altering the course of these disorders. McGorry et al highlight many aspects of the progress made, as well as some of the challenges to furthering the application of a broader preventive model of care based on a hierarchical model of understanding mental disorders. It may not be entirely ironic that development of early intervention theory and practice in psychiatric disorders should have started with the disorder viewed most pessimistically with poor outcome (schizophrenia). Indeed, a great deal of progress has been made since the initial seminal studies of first episode psychosis 1 and the influential review by Wyatt 2. Such progress has extended beyond understanding the effects of delay in treatment to a more substantial understanding of neurobiology and outcome during early phase of psychotic disorders. It has been particularly remarkable that, while research in phenomenology, neurobiology and cognitive psychology of first episode psychosis and the putative periods preceding the onset of psychosis has flourished, there has been a parallel and equally prolific development of services specializing in treatment of early phases of the illness. Such developments have taken research out of artificial settings to real life new specialized services, thus making available large epidemiologically based cohorts of subjects for investigation. Such research is likely to be more meaningful in the long run, as the findings will be applicable to larger groups of patients. As McGorry et al suggest, it is time now to think more broadly and extend the scope of such developments in service and research to a larger group of disorders without the constraint of a strictly categorical diagnostic system. Despite the well justified enthusiasm, there are, however, a number of issues that remain either unclear or unaddressed. The term “early intervention” has often been taken to imply “earlier” intervention predicated on an association between duration of untreated psychosis (DUP) and clinical outcome. However, this is an oversimplification: there is in fact much more to “early intervention” than simply intervening early 3. The evidence to support enriched and comprehensive interventions is indeed strong and replicated in controlled studies 4–6 and confirmed in a recent meta-analysis 7. While it requires no more than face validity to support quick, unencumbered and user-friendly access to specialized treatment of new cases of psychotic disorders, the evidence for more elaborate and relatively expensive interventions to improve early case detection remains either confined to specific jurisdictions 8 or applicable only to a subgroup of patients 9. In order to benefit larger number of patients, it may be easier to convince mental health policy makers to apply a more effective treatment model with improved access than to expect them to support elaborate and expensive interventions to reduce DUP through active case detection. There is still a need to identify what methods of early case identification and improved access would work in which settings, given large variations in composition of populations (e.g. ethnicity, urban vs. rural setting) and nature and quality of the prevailing primary and specialist health care. On the other hand, large scale campaigns at the community level to improve general mental health literacy and engage communities in a dialogue about mental illness have heuristic value even if their direct impact on reducing delay in treatment of specific disorders may be difficult to demonstrate. McGorry et al correctly identify the greater conceptual accuracy of “ultra-high risk” as opposed to “prodromal” patients to whom interventions could be provided to prevent or delay onset of psychosis. While there has been progress in demonstrating efficacy of individual interventions in small controlled trials, we are not yet at a stage to recommend any particular approach. Apart from the need for more substantial evidence, there are several reasons for such caution. The transition from a non-psychotic high risk state to psychosis occurs in only a fraction of such patients, even without the use of antipsychotic medications, especially if they are provided with adequate care and support for the problems they present with. This raises the risk of treating many more false positives for a putative impending psychosis. Further, not enough attention has been paid to the relatively fluid and ambiguous boundary between sub-threshold and threshold level of symptoms of psychosis, creating a risk of reporting results based on a categorical fallacy. Until such time as further methodologically sound research using large samples produces clear evidence based interventions, we run the risk of encouraging clinicians to become cavalier in using antipsychotic medications for treating symptoms they observe over a single assessment, as is already happening in many jurisdictions. Other major challenges that must be faced, if “early intervention” is to benefit a larger population of patients, include the patients' refusal to accept or engage in treatment (estimate 15–50%), those who drop out early in the course of or do not adhere to treatment, and those who present with substance abuse as an additional problem. Lack of adherence to treatment and presence of substance abuse have been identified as major obstacles to achieving and maintaining symptomatic remission following treatment of first episode psychosis 10–12. Indeed, such malleable predictors of outcome overshadow the significance of delay in treatment in achieving better outcomes. Further, it appears that the gains made with specialized treatment of early phase of psychosis over the first two years are difficult to sustain 5, and further systematic study of the length of specialized treatment is required if we are to make a difference in the longterm course of psychotic disorders. Last, but not least, there is a dire need to understand the process of recovery and what promotes or hinders it during the early “critical period”. Both qualitative and quantitative research, which takes into account patients' and families' perspectives and examines the effect of various treatments on recovery 13, should be a priority for the early intervention field.

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 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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,079
Score d'incertitude au seuil0,857

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,028
Tête enseignante GPT0,298
Écart entre enseignants0,270 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
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

Citations7
Publié2008
Routes d'admission1
Résumé présentoui

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