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Comparison of Patient Health Questionnaire-9, Edinburgh Postnatal Depression Scale and Hospital Anxiety and Depression – Depression subscale scores by administration mode: An individual participant data differential item functioning meta-analysis
Daphna Harel, Yin Wu, Brooke Levis, Suiqiong Fan, Ying Sun, Mingyao Xu, Danielle B. Rice, Jill Boruff, Sarah Markham, John P. A. Ioannidis, Yemisi Takwoingi, Scott B. Patten, Roy C. Ziegelstein, Pim Cuijpers, Simon Gilbody, Simone N. Vigod, Dickens Akena, Andrea Benedetti, Brett D. Thombs, Marleine Azar, Parash Mani Bhandari, Matthew J. Chiovitti, Chen He, Mahrukh Imran, Ankur Krishnan, Zelalem Negeri, Dipika Neupane, Kira E. Riehm, Xin Wei Yan, Lorie A. Kloda, Mélissa Henry, Zahinoor Ismail, Carmen G. Loiselle, Nicholas Mitchell, Samir Al‐Adawi, Rubén Alvarado, Dagmar Amtmann, Bruce Arroll, Liat Ayalon, Hamid Reza Baradaran, Jacqueline Barnes, Kevin Roy Beck, Cheryl Tatano Beck, Çharles N. Bernstein, Carola Bindt, Charles H. Bombardier, Birgitte Boye, Natalie Büel-Drabe, Ryna Imma Buji, Adomas Bunevičius, Peter Butterworth, Ceyhun Can, Gregory Carter, Marcos Hortes Nisihara Chagas, Juliana C.N. Chan, Lai Fong Chan, Chih‐Ken Chen, Dixon Chibanda, Genesis Chorwe‐Sungani, Kerrie Clover, Ronán Conroy, Aaron Conway, Yeates Conwell, Humberto Corrêa, Thiago Castro e Couto, Daniel Cukor, Federico M. Daray, Janneke M. de Man‐van Ginkel, Jennifer De Souza, Marina G. Downing, Valsamma Eapen, Jesse R. Fann, Nicolas Favez, Ethel Felice, Gracia Fellmeth, Panagiotis Ferentinos, Michelle Fernandes, Sally Field, Bárbara Figueiredo, Felix Fischer, Jane Fisher, Alastair J. Flint, Daniel Fung, Pamela Gallagher, Milena Gandy, Bizu Gelaye, Leila Gholizadeh, Lorna J. Gibson, Felicity Goodyear‐Smith, Luigi Grassi, Eric Green, Catherine G. Greeno, Brian J. Hall, Liisa Hantsoo, Emily E. Haroz, Martin Härter, Ulrich Hegerl, Nadine Helle, Asunción Hernando, Leanne Hides, Stevan E. Hobfoll, Simone Honikman, Louise M. Howard, Thomas Hyphantis, María Iglesias-González, Masatoshi Inagaki, Josef Jenewein, Hong Jin Jeon, Nathalie Jetté, Miguel Julião, Pirjo Kettunen, Mohammad E. Khamseh, Kim M. Kiely, Sung‐Wan Kim, Marie Kjærgaard, Jane Kohlhoff, Brandon A. Kohrt, Hans‐Helmut König, Zoltán Kozinszky, Yunxin Kwan, Femke Lamers, Ma. Asunción Lara, Angeliki Leonardou, Holly Frances Levin-Aspenson, Shen‐Ing Liu, Margrit Löbner, Wim L. Loosman, Manote Lotrakul, Sônia Regina Loureiro, Anthony W. Love, Bernd Löwe, Nagendra P. Luitel, Crick Lund, Michaël Maes, Ulrik Fredrik Malt, Ruth Ann Marrie, Laura Marsh, Pablo Martínez, Brian P. Marx, Yutaka Matsuoka, Anthony McGuire, Anja Mehnert, Ioannis Michopoulos, Sherina Mohd Sidik, Jacqueline Müller‐Nordhorn, Kumiko Muramatsu, Sandra Nakić Radoš, Laura Navarrete, Christian J. Nelson, Chong Guan Ng, Daisuke Nishi, Meaghan O’Donnell, Suzanne O’Rourke, Flávia de Lima Osório, Alexander Pabst, Julie A. Pasco, Susan Pawlby, Jūratė Pečeliūnienė, Brian W. Pence, Philippe Persoons, Inge Petersen, Angelo Picardi, Jennie Ponsford, Stephanie L. Pugh, Federico Pulido, Terence J. Quinn, Chantal Quispel, Sujit D. Rathod, Silje Endresen Rème, Katrin Reuter, Steffi G. Riedel‐Heller, Alasdair G Rooney, Iná S. Santos, Rebecca M. Saracino, Melanie P. J. Schellekens, Marcelo Libório Schwarzbold, Vesile Şentürk Cankorur, Juwita Shaaban, Louise Sharpe, Eileen H. Shinn, Abbey Sidebottom, Sébastien Simard, Susanne Singer, Alkistis Skalkidou, Johanne Smith‐Nielsen, Lena Spangenberg, Lesley Stafford, Alan Stein, Robert C. Stewart, Natalie Strobel, Kuan‐Pin Su, Serge Sultan, Inger Sundström Poromaa, Sharon C. Sung, Keiko Suzuki, Meri Tadinac, Pei Lin Lynnette Tan, S. Darius Tandon, Martin Taylor‐Rowan, Antônio Lúcio Teixeira, Iva Tendais, István Tiringer, Annamária Töreki, Thach Tran, Kylee Trevillion, Mira Tschorn, Alyna Turner, Mette Skovgaard Væver, Christina M. van der Feltz‐Cornelis, Thandi van Heyningen, Johann M. Vega‐Dienstmaier, Michael Wagner, Lynne I. Wagner, Liang‐Jen Wang, JianLi Wang, David Watson, Siegfried Weyerer, Jennifer White, Mary A. Whooley, Birgitt Wiese, Lana J. Williams, Kirsty Winkley, Karen Wynter, Mitsuhiko Yamada, Kimberly A. Yonkers, Qing Zhi Zeng, Yuying Zhang
Bibliographic record
VenueJournal of Affective Disorders · 2024
Typereview
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsMcGill University Health CentreUniversity of TorontoHotchkiss Brain InstituteMcGill UniversityUniversity of CalgarySt. Joseph’s Healthcare HamiltonWomen's College HospitalMcMaster UniversityJewish General Hospital
FundersNational Center for Medical Rehabilitation ResearchFondo Nacional de Desarrollo Científico y TecnológicoJanssen CanadaNational Institute of Child Health and Human DevelopmentNational Institute on Disability and Rehabilitation ResearchKaohsiung Chang Gung Memorial HospitalNational Cancer InstituteEuropean Regional Development FundProgramme Grants for Applied ResearchMedical Research CouncilSocial Sciences and Humanities Research Council of CanadaAbbVie CanadaTakeda CanadaPfizer CanadaCumming School of Medicine, University of CalgaryAmgen CanadaDuke Global Health Institute, Duke UniversityNational Institute of Mental HealthHealth Resources and Services AdministrationNational Institutes of HealthH. Lundbeck A/SNational Center of Neurology and PsychiatrySafe Work AustraliaInstituto Nacional de Ciência e Tecnologia Translacional em MedicinaCrohn's and Colitis CanadaAchmeaUniversità degli Studi di FerraraNational Research Foundation of KoreaMinistério da SaúdeUniversidade de MacauSvenska LäkaresällskapetDepartment of Social Services, Australian GovernmentKWF KankerbestrijdingChang Gung Medical FoundationUniversiti Sains MalaysiaUniversiti Putra MalaysiaHarry Crossley FoundationCanadian Institutes of Health ResearchEuropean CommissionLietuvos Mokslo TarybaTehran University of Medical Sciences and Health ServicesConselho Nacional de Desenvolvimento Científico e TecnológicoNational Health Research InstitutesVetenskapsrådetSanofiEisaiMinistry of Science, ICT and Future PlanningConsejo Nacional de Ciencia y TecnologíaDepartment of Education and Early Childhood Development, State Government of VictoriaForskningsrådet för Arbetsliv och SocialvetenskapNational Science CouncilUniversiteit MaastrichtZonMwQueensland University of TechnologyUniversity of Technology SydneyNorges ForskningsrådSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Health and Medical Research CouncilDeutsche KrebshilfeMinistry of Education, Science and TechnologyGovernment of the United KingdomBundesministerium für Bildung und ForschungGovernment of Western AustraliaMinistry of Education, Culture, Sports, Science and TechnologySandoz CanadaUniversiteit van AmsterdamUniversität HeidelbergEuropean Foundation for the Study of DiabetesMinistero della SaluteUniversity of AucklandWaikato Medical Research FoundationFundação de Amparo à Pesquisa do Estado de São PauloTransport Accident CommissionHunter Medical Research InstituteIrish Cancer SocietyUniversity of OxfordCanadian Breast Cancer Research AllianceHealth Research Council of New ZealandDeutsche RentenversicherungAmerican Psychological AssociationNational Research FoundationIschemia Research and Education FoundationCenters for Disease Control and PreventionShanghai Municipal Health and Family Planning CommissionPennsylvania Department of HealthNational Institute for Health and Care ResearchHealth Foundation LimburgAustralian GovernmentNational Breast Cancer FoundationU.S. Department of DefenseChinese Diabetes SocietyBethlehem Griffiths Research FoundationAlberta Health ServicesUniversity of WashingtonSigma Theta Tau InternationalRobert Wood Johnson FoundationPatrick and Catherine Weldon Donaghue Medical Research FoundationBanco SantanderUniversity of SouthamptonWellcome TrustAlberta Innovates - Health SolutionsMahidol UniversityNational Alliance for Research on Schizophrenia and DepressionResearch ManitobaUniversity of Cape TownArmstrong FoundationUniversity of ConnecticutWerner Otto StiftungPfizerBiogenBristol-Myers SquibbOhio Board of RegentsMultiple Sclerosis SocietyMinistry of Health, Labour and WelfareDivision of Materials ResearchFundação de Amparo à Pesquisa do Estado de Minas GeraisEli Lilly and CompanyCanadian Prostate Cancer Research InitiativeTrygFondenAmgenHealth Services Research and DevelopmentLance Armstrong FoundationNational Science FoundationUniversity of MelbourneInnovatiefonds ZorgverzekeraarsAmerican Federation for Aging ResearchDepartment for International DevelopmentU.S. Department of Veterans AffairsUnited States Agency for International DevelopmentDepartment of Health and Social CareChina Medical UniversityFundação de Amparo à Pesquisa e Inovação do Estado de Santa CatarinaFundação de Amparo à Pesquisa do Estado do Rio Grande do SulJapan Society for the Promotion of ScienceGrand Challenges CanadaU.S. Department of Health and Human ServicesMyer FoundationUniversidade de São PauloChulalongkorn University
KeywordsDepression (economics)PsychologyHospital Anxiety and Depression ScaleAnxietyDifferential item functioningClinical psychologyPsychiatryMeta-analysisPsychometricsPatient Health QuestionnaireScale (ratio)MedicineItem response theoryDepressive symptomsInternal medicine
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.042
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.029 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.079
GPT teacher head0.417
Teacher spread0.338 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations9
Published2024
Admission routes2
Has abstractno