Screening and detection of perinatal depression by non-physician primary healthcare workers in Nigeria
Notice bibliographique
Résumé
BACKGROUND: Detection of perinatal depression by healthcare providers remain an important barrier to receiving treatment. This study reports on the detection of perinatal depression by frontline non-physician primary healthcare workers (PHCWs) as well as the feasibility, effectiveness and acceptability of routine screening using the 2-item patient health questionnaire (PHQ-2) during antenatal care. METHOD: Twenty-seven primary healthcare facilities were assigned to screening (n = 11) and non-screening (n = 16) arms. All PHCWs in both arms were trained to diagnose and treat perinatal depression using the WHO mental health gap action intervention guide (mhGAP-IG) while those in the screening arm were trained to routinely screen with PHQ-2 first to determine need for further mhGAP-IG assessment. Perceived usefulness, feasibility and acceptability of routine screening for perinatal depression was explored in key informant interviews on a purposive sample of PHCWs (n = 20) and study participants (n = 22). RESULTS: In the first 6-months following training, the detection rate of perinatal depression was 4.6% at the clinics where PHCW were not routinely screening with the PHQ-2 compared to 11% at the screening clinics. Over the next six months, with refresher training for PHCW in the screening arm and the introduction of monthly supportive supervision for PHCW in both arms, detection rates increased from 4.6 to 7.6% at non-screening clinics and from 11 to 40% at the screening clinics. Over the entire study period only 81 (15.7%) out of the 517 cases of perinatal depression were detected by the PHCWs. Detection of depression by PHCWs was associated with the severity of depression symptoms and routine screening with PHQ-2. The introduction of routine screening was acceptable to both PHCWs and perinatal women. PHCWs reported that the PHQ-2 was useful, easy to administer and feasible for routine use. CONCLUSIONS: Improving detection and subsequently the treatment gap for perinatal depression require not just training of frontline healthcare workers but the introduction of additional measures such as universal screening along with supportive supervision. TRIAL REGISTRATION NUMBER: The main study from which the data for this report was extracted was retrospectively registered 03 December 2019. REGISTRATION NUMBER: ISRCTN 94,230,307.
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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 | 0,000 | 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 | 0,000 | 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) | 0,000 | 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 ».