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dc.creatorHarel, Daphnaes_ES
dc.creatorLevis, Brookees_ES
dc.creatorSun, Yinges_ES
dc.creatorFischer, Felixes_ES
dc.creatorIoannidis, John P. A.es_ES
dc.creatorCuijpers, Pimes_ES
dc.creatorPatten, Scott B.es_ES
dc.creatorZiegelstein, Roy C.es_ES
dc.creatorMarkham, Sarahes_ES
dc.creatorBenedetti, Andreaes_ES
dc.creatorThombs, Brett D.es_ES
dc.creatorthe DEPRESsion Screening Data DEPRESSD PHQ Collaborationes_ES
dc.creatorHe, Chenes_ES
dc.creatorWu, Yines_ES
dc.creatorKrishnan, Ankures_ES
dc.creatorBhandari, Parash Manies_ES
dc.creatorNeupane, Dipikaes_ES
dc.creatorNegeri, Zelalemes_ES
dc.creatorImran, Mahrukhes_ES
dc.creatorRice, Danielle B.es_ES
dc.creatorRiehm, Kira E.es_ES
dc.creatorAzar, Marleinees_ES
dc.creatorLevis, Alexander W.es_ES
dc.creatorBoruff, Jilles_ES
dc.creatorGilbody, Simones_ES
dc.creatorKloda, Lorie A.es_ES
dc.creatorAmtmann, Dagmares_ES
dc.creatorAyalon, Liates_ES
dc.creatorBaradaran, Hamid R.es_ES
dc.creatorBeraldi, Annaes_ES
dc.creatorBernstein, Charles N.es_ES
dc.creatorBhana, Arvines_ES
dc.creatorBuji, Ryna Immaes_ES
dc.creatorChagas, Marcos H.es_ES
dc.creatorChan, Juliana C. N.es_ES
dc.creatorChan, Lai Fonges_ES
dc.creatorChibanda, Dixones_ES
dc.creatorConway, Aarones_ES
dc.creatorDaray, Federico M.es_ES
dc.creatorMan-Van Ginkel, Janneke M.es_ES
dc.creatorDiez-Quevedo, Crisantoes_ES
dc.creatorField, Sallyes_ES
dc.creatorFisher, Jane R.es_ES
dc.creatorFung, Danieles_ES
dc.creatorGarman, Emily C.es_ES
dc.creatorFlisher, Alan J.es_ES
dc.creatorGelaye, Bizues_ES
dc.creatorGholizadeh, Leilaes_ES
dc.creatorGibson, Lorna J.es_ES
dc.creatorGreen, Eric P.es_ES
dc.creatorHall, Brian J.es_ES
dc.creatorHantsoo, Liisaes_ES
dc.creatorHaroz, Emily E.es_ES
dc.creatorHärter, Martines_ES
dc.creatorHegerl, Ulriches_ES
dc.creatorHides, Leannees_ES
dc.creatorHobfoll, Stevan E.es_ES
dc.creatorHonikman, Simonees_ES
dc.creatorHudson, Mariees_ES
dc.creatorHyphantis, Thomases_ES
dc.creatorInagaki, Masatoshies_ES
dc.creatorJeon, Hong Jines_ES
dc.creatorJetté, Nathaliees_ES
dc.creatorKhamseh, Mohammad E.es_ES
dc.creatorKöhler, Sebastianes_ES
dc.creatorKohrt, Brandon A.es_ES
dc.creatorKwan, Yunxines_ES
dc.creatorLamers, Femkees_ES
dc.creatorLara, Maria Asunciónes_ES
dc.creatorLevin-Aspenson, Holly F.es_ES
dc.creatorLiu, Shen-Inges_ES
dc.creatorLotrakul, Manotees_ES
dc.creatorLoureiro, Sonia R.es_ES
dc.creatorLöwe, Berndes_ES
dc.creatorLuitel, Nagendra P.es_ES
dc.creatorLund, Crickes_ES
dc.creatorFlisher, Alan J.es_ES
dc.creatorMarrie, Ruth Annes_ES
dc.creatorMarx, Brian P.es_ES
dc.creatorSidik, Sherina Mohdes_ES
dc.creatorMunhoz, Tiago N.es_ES
dc.creatorMuramatsu, Kumikoes_ES
dc.creatorNakku, Juliet E. M.es_ES
dc.creatorNavarrete, Lauraes_ES
dc.creatorOsório, Flávia L.es_ES
dc.creatorPersoons, Philippees_ES
dc.creatorPicardi, Angeloes_ES
dc.creatorPugh, Stephanie L.es_ES
dc.creatorQuinn, Terence J.es_ES
dc.creatorRancans, Elmarses_ES
dc.creatorRathod, Sujit D.es_ES
dc.creatorReuter, Katrines_ES
dc.creatorRowe, Heather J.es_ES
dc.creatorSantos, Iná S.es_ES
dc.creatorSchram, Miranda T.es_ES
dc.creatorShaaban, Juwitaes_ES
dc.creatorShinn, Eileen H.es_ES
dc.creatorSpangenberg, Lenaes_ES
dc.creatorStafford, Lesleyes_ES
dc.creatorSung, Sharon C.es_ES
dc.creatorSuzuki, Keikoes_ES
dc.creatorTan, Pei Lin Lynnettees_ES
dc.creatorTaylor-Rowan, Martines_ES
dc.creatorTran, Thach D.es_ES
dc.creatorFeltz-Cornelis, Christina M. van deres_ES
dc.creatorHeyningen, Thandi vanes_ES
dc.creatorWeert, Henk C.es_ES
dc.creatorWagner, Lynne I.es_ES
dc.creatorWang, Jian Lies_ES
dc.creatorWatson, Davides_ES
dc.creatorWynter, Karenes_ES
dc.creatorYamada, Mitsuhikoes_ES
dc.creatorZeng, Qing Zhies_ES
dc.creatorZhang, Yuyinges_ES
dc.date2021
dc.date.accessioned2024-01-18T16:35:53Z
dc.date.available2024-01-18T16:35:53Z
dc.date.issued2021
dc.identifierJC07DIEP21es_ES
dc.identifier.issn1046-2023
dc.identifier.urihttp://repositorio.inprf.gob.mx/handle/123456789/7873
dc.identifier.urihttps://doi.org/10.1016/j.ymeth.2021.11.005
dc.descriptionShortened versions of self-reported questionnaires may be used to reduce respondent burden. When shortened screening tools are used, it is desirable to maintain equivalent diagnostic accuracy to full-length forms. This manuscript presents a case study that illustrates how external data and individual participant data meta-analysis can be used to assess the equivalence in diagnostic accuracy between a shortened and full-length form. This case study compares the Patient Health Questionnaire-9 (PHQ-9) and a 4-item shortened version (PHQ-Dep-4) that was previously developed using optimal test assembly methods. Using a large database of 75 primary studies (34,698 participants, 3,392 major depression cases), we evaluated whether the PHQ-Dep-4 cutoff of ≥ 4 maintained equivalent diagnostic accuracy to a PHQ-9 cutoff of ≥ 10. Using this external validation dataset, a PHQ-Dep-4 cutoff of ≥ 4 maximized the sum of sensitivity and specificity, with a sensitivity of 0.88 (95% CI 0.81, 0.93), 0.68 (95% CI 0.56, 0.78), and 0.80 (95% CI 0.73, 0.85) for the semi-structured, fully structured, and MINI reference standard categories, respectively, and a specificity of 0.79 (95% CI 0.74, 0.83), 0.85 (95% CI 0.78, 0.90), and 0.83 (95% CI 0.80, 0.86) for the semi-structured, fully structured, and MINI reference standard categories, respectively. While equivalence with a PHQ-9 cutoff of ≥ 10 was not established, we found the sensitivity of the PHQ-Dep-4 to be non-inferior to that of the PHQ-9, and the specificity of the PHQ-Dep-4 to be marginally smaller than the PHQ-9.es_ES
dc.formatPDFes_ES
dc.language.isoenges_ES
dc.publisherAcademic Presses_ES
dc.relation204:300-311
dc.rightsAcceso Cerradoes_ES
dc.titleExternal validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4es_ES
dc.typeArtículoes_ES
dc.contributor.affiliationDepartment of Applied Statistics, Social Science, and Humanities, New York University, United States; Center for the Promotion of Research at the Intersection of Information, Society, and Methodology, New York University, United States.
dc.contributor.emaildaphna.harel@nyu.edu (D. Harel)
dc.relation.jnabreviadoMETHODS
dc.identifier.placeEstados Unidos
dc.date.published2021
dc.identifier.organizacionInstituto Nacional de Psiquiatría Ramón de la Fuente Muñiz
dc.identifier.eissn1095-9130
dc.identifier.doi10.1016/j.ymeth.2021.11.005
dc.subject.kwOptimal test assembly
dc.subject.kwSensitivity
dc.subject.kwSpecificity
dc.subject.kwEquivalence testing
dc.subject.kwSelf-report questionnaire


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