Comparing depression screening tools (CESD-10, EPDS, PHQ-9, and PHQ-2) for diagnostic performance and epidemiologic associations among postpartum Kenyan women: Implications for research and practice.
CESD-10
EPDS
PHQ-2
PHQ-9
Postpartum depression
Screening
Sub-Saharan Africa
Journal
Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073
Informations de publication
Date de publication:
01 03 2023
01 03 2023
Historique:
received:
28
11
2021
revised:
24
08
2022
accepted:
23
12
2022
pmc-release:
01
03
2024
pubmed:
1
1
2023
medline:
24
1
2023
entrez:
31
12
2022
Statut:
ppublish
Résumé
Identifying optimal depression screening tools for use in maternal health clinics could improve maternal and infant health. We compared four tools for diagnostic performance and epidemiologic associations. This study was nested in a cluster-randomized trial in Kenya. Women in 20 maternal health clinics were evaluated at 6 weeks postpartum with Center for Epidemiologic Studies Depression Scale (CESD-10), Edinburgh Postnatal Depression Scale (EPDS), Patient Health Questionnaire-9 and -2 (PHQ-9, PHQ-2) for moderate-to-severe depressive symptoms (MSD) [CESD-10 ≥ 10, EPDS≥13, PHQ-9 ≥ 10, or PHQ-2 ≥ 3]. We assessed area under the curve (AUC) per scale (CESD-10, EPDS) against probable major depressive disorder (MDD) using the PHQ-9 scoring algorithm. Associations between MSD and intimate partner violence (IPV) were compared between scales. Among 3605 women, median age was 24 and 10 % experienced IPV. Prevalence of MSD symptoms varied by tool: 13 % CESD-10, 9 % EPDS, 5 % PHQ-2, 3 % PHQ-9. Compared to probable MDD, the CESD-10 (AUC:0.82) had higher AUC than the EPDS (AUC:0.75). IPV was associated with MSD using all scales: EPDS (RR:2.5, 95%CI:1.7-3.7), PHQ-2 (RR:2.3, 95%CI:1.6-3.4), CESD-10 (RR:1.9, 95%CI:1.2-2.9), PHQ-9 (RR:1.8, 95%CI:0.8-3.8). Our study did not include clinical diagnosis of MDD by a specialized clinician, instead we used provisional diagnosis of probable MDD classified by the PHQ-9 algorithm as a reference standard in diagnostic performance evaluations. Depression screening tools varied in detection of postpartum MSD. The PHQ-2 would prompt fewer referrals and showed strong epidemiologic association with a cofactor.
Sections du résumé
BACKGROUND
Identifying optimal depression screening tools for use in maternal health clinics could improve maternal and infant health. We compared four tools for diagnostic performance and epidemiologic associations.
METHODS
This study was nested in a cluster-randomized trial in Kenya. Women in 20 maternal health clinics were evaluated at 6 weeks postpartum with Center for Epidemiologic Studies Depression Scale (CESD-10), Edinburgh Postnatal Depression Scale (EPDS), Patient Health Questionnaire-9 and -2 (PHQ-9, PHQ-2) for moderate-to-severe depressive symptoms (MSD) [CESD-10 ≥ 10, EPDS≥13, PHQ-9 ≥ 10, or PHQ-2 ≥ 3]. We assessed area under the curve (AUC) per scale (CESD-10, EPDS) against probable major depressive disorder (MDD) using the PHQ-9 scoring algorithm. Associations between MSD and intimate partner violence (IPV) were compared between scales.
RESULTS
Among 3605 women, median age was 24 and 10 % experienced IPV. Prevalence of MSD symptoms varied by tool: 13 % CESD-10, 9 % EPDS, 5 % PHQ-2, 3 % PHQ-9. Compared to probable MDD, the CESD-10 (AUC:0.82) had higher AUC than the EPDS (AUC:0.75). IPV was associated with MSD using all scales: EPDS (RR:2.5, 95%CI:1.7-3.7), PHQ-2 (RR:2.3, 95%CI:1.6-3.4), CESD-10 (RR:1.9, 95%CI:1.2-2.9), PHQ-9 (RR:1.8, 95%CI:0.8-3.8).
LIMITATIONS
Our study did not include clinical diagnosis of MDD by a specialized clinician, instead we used provisional diagnosis of probable MDD classified by the PHQ-9 algorithm as a reference standard in diagnostic performance evaluations.
CONCLUSION
Depression screening tools varied in detection of postpartum MSD. The PHQ-2 would prompt fewer referrals and showed strong epidemiologic association with a cofactor.
Identifiants
pubmed: 36586607
pii: S0165-0327(22)01460-4
doi: 10.1016/j.jad.2022.12.101
pmc: PMC9990497
mid: NIHMS1864331
pii:
doi:
Types de publication
Journal Article
Randomized Controlled Trial
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
637-644Subventions
Organisme : NICHD NIH HHS
ID : R01 HD094630
Pays : United States
Organisme : NICHD NIH HHS
ID : F31 HD101149
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI125498
Pays : United States
Organisme : NICHD NIH HHS
ID : F32 HD108857
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI027757
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD100201
Pays : United States
Informations de copyright
Copyright © 2023 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of interest This paper represents the opinions of the authors and is not meant to represent the position or opinions of organizations, nor the official position of any staff members. Ms. Larsen reports grants from NIH during the conduct of the study. Dr. Bhat reports grants from NIH, grants from PCORI, and grants from Perigee Foundation during the conduct of the study. Dr. John-Stewart reports grants from NIH, grants from CDC, grants from Thrasher, personal fees from UpToDate, personal fees from UW, grants from IMPAACT, outside the submitted work. Dr. Kinuthia reports grants from NIH, during the conduct of the study. Dr. Pintye reports grants from NIH during the conduct of the study.
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