Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta-analysis

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:3185746 33 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
Comparison of major depression diagnostic classification probability
using the SCID, CIDI, and MINI diagnostic interviews among women in
pregnancy or postpartum: An individual participant data meta-analysis
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Objectives A previous individual participant data meta-analysis (IPDMA)
identified differences in major depression classification rates between
different diagnostic interviews, controlling for depressive symptoms on
the basis of the Patient Health Questionnaire-9. We aimed to determine
whether similar results would be seen in a different population, using
studies that administered the Edinburgh Postnatal Depression Scale
(EPDS) in pregnancy or postpartum. Methods Data accrued for an EPDS
diagnostic accuracy IPDMA were analysed. Binomial generalised linear
mixed models were fit to compare depression classification odds for the
Mini International Neuropsychiatric Interview (MINI), Composite
International Diagnostic Interview (CIDI), and Structured Clinical
Interview for DSM (SCID), controlling for EPDS scores and participant
characteristics. Results Among fully structured interviews, the MINI (15
studies, 2,532 participants, 342 major depression cases) classified
depression more often than the CIDI (3 studies, 2,948 participants, 194
major depression cases; adjusted odds ratio [aOR] = 3.72, 95%
confidence interval [CI] [1.21, 11.43]). Compared with the
semistructured SCID (28 studies, 7,403 participants, 1,027 major
depression cases), odds with the CIDI (interaction aOR = 0.88, 95% CI
[0.85, 0.92]) and MINI (interaction aOR = 0.95, 95% CI [0.92,
0.99]) increased less as EPDS scores increased. Conclusion Different
interviews may not classify major depression equivalently.
Έτος δημοσίευσης:
2019
Συγγραφείς:
Levis, Brooke
McMillan, Dean
Sun, Ying
He, Chen
Rice,
Danielle B.
Krishnan, Ankur
Wu, Yin
Azar, Marleine and
Sanchez, Tatiana A.
Chiovitti, Matthew J.
Bhandari, Parash Mani
and Neupane, Dipika
Saadat, Nazanin
Riehm, Kira E.
Imran,
Mahrukh
Boruff, Jill T.
Cuijpers, Pim
Gilbody, Simon and
Ioannidis, John P. A.
Kloda, Lorie A.
Patten, Scott B. and
Shrier, Ian
Ziegelstein, Roy C.
Comeau, Liane
Mitchell,
Nicholas D.
Tonelli, Marcello
Vigod, Simone N.
Aceti, Franca
and Alvarado, Ruben
Alvarado-Esquivel, Cosme
Bakare, Muideen O.
and Barnes, Jacqueline
Tatano Beck, Cheryl
Bindt, Carola and
Boyce, Philip M.
Bunevicius, Adomas
Castro e Couto, Tiago and
Chaudron, Linda H.
Correa, Humberto
de Figueiredo, Felipe
Pinheiro
Eapen, Valsamma
Fernandes, Michelle
Figueiredo,
Barbara
Fisher, Jane R. W.
Garcia-Esteve, Lluisa and
Giardinelli, Lisa
Helle, Nadine
Howard, Louise M.
Khalifa,
Dina Sami
Kohlhoff, Jane
Kusminskas, Laima
Kozinszky, Zoltan
and Lelli, Lorenzo
Leonardou, Angeliki A.
Lewis, Beth A. and
Maes, Michael
Meuti, Valentina
Rados, Sandra Nakic
Navarro
Garcia, Purificacion
Nishi, Daisuke
E-Andjafono, Daniel Okitundu
Luwa
Robertson-Blackmore, Emma
Rochat, Tamsen J.
Rowe,
Heather J.
Siu, Bonnie W. M.
Skalkidou, Alkistis
Stein, Alan
and Stewart, Robert C.
Su, Kuan-Pin
Sundstroem-Poromaa, Inger
and Tadinac, Meri
Tandon, S. Darius
Tendais, Iva
Thiagayson,
Pavaani
Toereki, Annamaria
Torres-Gimenez, Anna
Tran, Thach
D.
Trevillion, Kylee
Turner, Katherine
Vega-Dienstmaier,
Johann M.
Wynter, Karen
Yonkers, Kimberly A.
Benedetti,
Andrea
Thombs, Brett D.
Περιοδικό:
International Journal of Methods in Psychiatric Research
Εκδότης:
Wiley
Τόμος:
28
Αριθμός / τεύχος:
4
Λέξεις-κλειδιά:
depressive disorders; diagnostic interviews; Edinburgh Postnatal
Depression Scale; individual participant data meta-analysis; major
depression
Επίσημο URL (Εκδότης):
DOI:
10.1002/mpr.1803
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