A Multicenter Randomized Controlled Trial of Measurement-Based Care for Major Depressive Disorder in Pakistan
Notice bibliographique
Résumé
Aims A worldwide public health concern is major depressive disorder (MDD) with limited availability and access to evidence-based treatment in low- and middle-income countries (LMICs) such as Pakistan. Measurement-based care (MBC) is a low-cost strategy to improve clinical outcomes for people with MDD that involves the systematic administration of validated outcome measures to inform treatment decisions. However, research on MBC's effectiveness in LMICs is scarce. This paper aims to evaluate the feasibility and clinical effectiveness of MBC against standard care for patients with moderate to severe MDD in Pakistan. Methods This is a multicenter randomized control trial. Participants (n = 154) of 18 to 65 years of age recruited from psychiatric units of teaching and non-teaching hospitals and primary care settings such as General Physician (GP) clinics and Basic Health Units (BHUs) from 6 cities were randomised to receive MBC (guided by a schedule), or standard treatment (guided by clinicians’ judgement). Patients were prescribed by treating clinicians either with mirtazapine (7.5–45 mg/day) or paroxetine (10–60 mg/day) for a period of 12 weeks. All participants, regardless of their treatment arm, were followed-up till 24 weeks post-randomization and assessed for severity of depression. Side effects were regularly monitored using standard checklist. Outcome assessors were blind to treatment allocation. Results The Pakistani National Bioethics Committee (NBC) has granted complete ethical approval. A total of 15 psychiatrists and 4 General Practitioners (GPs) were approached and invited to participate in the study and consent was given by 9 psychiatrists and 2 GPs. A total of 351 patients were screened against eligibility criteria and 177 were eligible to participate. A total of 154 eligible participants consented (87%) to participate and were recruited and randomized into the trial. A total of 131 randomized participants (85%) completed 24-month follow-up. Only two adverse events were reported during the trial period. Recruitment, retention and safety analysis indicates feasibility of the trial in Pakistani healthcare context. The data are being analyzed for effectiveness outcomes. Conclusion It is essential to investigate the viability, usefulness, and efficacy of MBC for MDD in low-resource settings due to mounting data from high-income settings confirming its effectiveness. The planned trial's outcomes may help build a scalable, low-cost method for effectively improving outcomes for MDD patients in Pakistan.
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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».