Florida Best Practice Psychotherapeutic Medication Guidelines for Adults With Major Depressive Disorder
Notice bibliographique
Résumé
OBJECTIVE: Herein we provide the 2015 update for the Florida Best Practice Psychotherapeutic Medication Guidelines (FPG) for major depressive disorder (MDD). The FPG represent evidence-based decision support for practitioners providing care to adults with MDD. PARTICIPANTS: The consensus meeting included representatives from the Florida Agency for Health Care Administration (FAHCA), advocacy members, academic experts in MDD, and multidisciplinary mental health clinicians, as well as health policy experts. The FAHCA provided funding support for the FPG. EVIDENCE: Evidence was limited to results from adequately powered, randomized, double-blind, placebo-controlled trials; in addition, pooled-, meta-, and network-analyses were included. Recommendations were based on consensus arrived at by the multistakeholder Florida Expert Panel. Articles selected were identified on the electronic search engine PubMed with the dates 2010 to present. The search terms were major depressive disorder, psychopharmacology, antidepressants, psychotherapy, neuromodulation, complementary alternative medicines, pooled-analysis, meta-analysis, and network-analysis. Bibliographies of the identified articles were manually searched for additional citations not identified in the original search. CONSENSUS PROCESS: A consensus meeting comprising all representatives took place on September 25-26, 2015, in Tampa, Florida. Guiding principles (eg, emphasis on the most rigorous evidence for efficacy, safety, and tolerability) were discussed, defined, and operationalized prior to review of extant data. As MDD often pursues a recurrent and chronic course, principles of practice, measurement-based care, and comprehensive assessment and management of overall physical and mental health were emphasized. Evidence supporting pretreatment major depressive episode specifiers (eg, mixed features, anxious distress) and the role of pharmacogenomics (and other biological-behavioral markers) in informing treatment selection were comprehensively discussed. Algorithmic priority was assigned to agents with relatively greater therapeutic index (ie, efficacy) and minimal propensity for safety and tolerability disadvantages. CONCLUSIONS: The updated 2015 FPG provide concise, pragmatic, evidence-based decision support for treatment selection and sequencing for adults with MDD. Principles of practice include measurement-based care, priority to both psychiatric and medical comorbidity, identification of DSM-5-defined specifiers (eg, mixed features), suicide risk assessment, and evaluation of cognitive symptoms. The FPG have purposefully aimed to minimize emphasis on "expert opinion" and instead differentially emphasized extant evidence for pharmacologic treatments.
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 | 0,004 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».