Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Met...

Autores
Yin Wu; Levis, Brooke; Daray, Federico Manuel; Ioannidis, John P. A.; Patten, Scott B.; Cuijpers, Pim; Ziegelstein, Roy C.; Gilbody, Simon; Fischer, Felix H.; Fan, Suiqiong; Sun, Ying; He, Chen; Krishnan, Ankur; Neupane, Dipika; Bhandari, Parash Mani; Negeri, Zelalem; Riehm, Kira E.; Rice, Danielle B.; Azar, Marleine; Yan, Xin Wei; Imran, Mahrukh; Chiovitti, Matthew J.; Boruff, Jill T.; McMillan, Dean; Kloda, Lorie A.; Wiese, Birgitt; Williams, Lana J.; Wong, Lai Yi; Benedetti, Andrea; Thombs, Brett D.
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data metaanalysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from −0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02–0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADSD for detecting major depression. In most settings, the shorter HADS-D would be preferred.
Fil: Yin Wu. Lady Davis Institute For Medical Research; Canadá. McGill University; Canadá
Fil: Levis, Brooke. Lady Davis Institute For Medical Research; Canadá. Keele University; Reino Unido
Fil: Daray, Federico Manuel. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Farmacologia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ioannidis, John P. A.. University of Stanford; Estados Unidos
Fil: Patten, Scott B.. University of Calgary; Canadá
Fil: Cuijpers, Pim. Vrije Universiteit Amsterdam; Países Bajos
Fil: Ziegelstein, Roy C.. University Johns Hopkins; Estados Unidos
Fil: Gilbody, Simon. University of York; Reino Unido
Fil: Fischer, Felix H.. Universität zu Berlin; Alemania
Fil: Fan, Suiqiong. Jewish General Hospital; Canadá
Fil: Sun, Ying. Jewish General Hospital; Canadá
Fil: He, Chen. Jewish General Hospital; Canadá
Fil: Krishnan, Ankur. Jewish General Hospital; Canadá
Fil: Neupane, Dipika. Jewish General Hospital; Canadá
Fil: Bhandari, Parash Mani. Jewish General Hospital; Canadá
Fil: Negeri, Zelalem. Jewish General Hospital; Canadá
Fil: Riehm, Kira E.. Jewish General Hospital; Canadá
Fil: Rice, Danielle B.. Jewish General Hospital; Canadá
Fil: Azar, Marleine. Jewish General Hospital; Canadá
Fil: Yan, Xin Wei. Jewish General Hospital; Canadá
Fil: Imran, Mahrukh. Jewish General Hospital; Canadá
Fil: Chiovitti, Matthew J.. Jewish General Hospital; Canadá
Fil: Boruff, Jill T.. McGill University; Canadá
Fil: McMillan, Dean. University of York; Reino Unido
Fil: Kloda, Lorie A.. Concordia University; Canadá
Fil: Wiese, Birgitt. Hannover Medical School; Alemania
Fil: Williams, Lana J.. Universidad Complutense de Madrid; España
Fil: Wong, Lai Yi. Kwai Chung Hospital; China
Fil: Benedetti, Andrea. McGill University; Canadá
Fil: Thombs, Brett D.. McGill University; Canadá. Jewish General Hospital; Canadá
Materia
HADS
Major Depression
Screening
Accuracy
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/239210

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spelling Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-AnalysisYin WuLevis, BrookeDaray, Federico ManuelIoannidis, John P. A.Patten, Scott B.Cuijpers, PimZiegelstein, Roy C.Gilbody, SimonFischer, Felix H.Fan, SuiqiongSun, YingHe, ChenKrishnan, AnkurNeupane, DipikaBhandari, Parash ManiNegeri, ZelalemRiehm, Kira E.Rice, Danielle B.Azar, MarleineYan, Xin WeiImran, MahrukhChiovitti, Matthew J.Boruff, Jill T.McMillan, DeanKloda, Lorie A.Wiese, BirgittWilliams, Lana J.Wong, Lai YiBenedetti, AndreaThombs, Brett D.HADSMajor DepressionScreeningAccuracyhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data metaanalysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from −0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02–0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADSD for detecting major depression. In most settings, the shorter HADS-D would be preferred.Fil: Yin Wu. Lady Davis Institute For Medical Research; Canadá. McGill University; CanadáFil: Levis, Brooke. Lady Davis Institute For Medical Research; Canadá. Keele University; Reino UnidoFil: Daray, Federico Manuel. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Farmacologia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ioannidis, John P. A.. University of Stanford; Estados UnidosFil: Patten, Scott B.. University of Calgary; CanadáFil: Cuijpers, Pim. Vrije Universiteit Amsterdam; Países BajosFil: Ziegelstein, Roy C.. University Johns Hopkins; Estados UnidosFil: Gilbody, Simon. University of York; Reino UnidoFil: Fischer, Felix H.. Universität zu Berlin; AlemaniaFil: Fan, Suiqiong. Jewish General Hospital; CanadáFil: Sun, Ying. Jewish General Hospital; CanadáFil: He, Chen. Jewish General Hospital; CanadáFil: Krishnan, Ankur. Jewish General Hospital; CanadáFil: Neupane, Dipika. Jewish General Hospital; CanadáFil: Bhandari, Parash Mani. Jewish General Hospital; CanadáFil: Negeri, Zelalem. Jewish General Hospital; CanadáFil: Riehm, Kira E.. Jewish General Hospital; CanadáFil: Rice, Danielle B.. Jewish General Hospital; CanadáFil: Azar, Marleine. Jewish General Hospital; CanadáFil: Yan, Xin Wei. Jewish General Hospital; CanadáFil: Imran, Mahrukh. Jewish General Hospital; CanadáFil: Chiovitti, Matthew J.. Jewish General Hospital; CanadáFil: Boruff, Jill T.. McGill University; CanadáFil: McMillan, Dean. University of York; Reino UnidoFil: Kloda, Lorie A.. Concordia University; CanadáFil: Wiese, Birgitt. Hannover Medical School; AlemaniaFil: Williams, Lana J.. Universidad Complutense de Madrid; EspañaFil: Wong, Lai Yi. Kwai Chung Hospital; ChinaFil: Benedetti, Andrea. McGill University; CanadáFil: Thombs, Brett D.. McGill University; Canadá. Jewish General Hospital; CanadáAmerican Psychological Association2024-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/239210Yin Wu; Levis, Brooke; Daray, Federico Manuel; Ioannidis, John P. A.; Patten, Scott B.; et al.; Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis; American Psychological Association; Psychological Assessment; 35; 2; 6-2024; 94-1141939-134XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1037/pas0001181info:eu-repo/semantics/altIdentifier/url/https://psycnet.apa.org/doiLanding?doi=10.1037%2Fpas0001181info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:38:01Zoai:ri.conicet.gov.ar:11336/239210instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:38:02.264CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis
title Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis
spellingShingle Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis
Yin Wu
HADS
Major Depression
Screening
Accuracy
title_short Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis
title_full Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis
title_fullStr Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis
title_full_unstemmed Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis
title_sort Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis
dc.creator.none.fl_str_mv Yin Wu
Levis, Brooke
Daray, Federico Manuel
Ioannidis, John P. A.
Patten, Scott B.
Cuijpers, Pim
Ziegelstein, Roy C.
Gilbody, Simon
Fischer, Felix H.
Fan, Suiqiong
Sun, Ying
He, Chen
Krishnan, Ankur
Neupane, Dipika
Bhandari, Parash Mani
Negeri, Zelalem
Riehm, Kira E.
Rice, Danielle B.
Azar, Marleine
Yan, Xin Wei
Imran, Mahrukh
Chiovitti, Matthew J.
Boruff, Jill T.
McMillan, Dean
Kloda, Lorie A.
Wiese, Birgitt
Williams, Lana J.
Wong, Lai Yi
Benedetti, Andrea
Thombs, Brett D.
author Yin Wu
author_facet Yin Wu
Levis, Brooke
Daray, Federico Manuel
Ioannidis, John P. A.
Patten, Scott B.
Cuijpers, Pim
Ziegelstein, Roy C.
Gilbody, Simon
Fischer, Felix H.
Fan, Suiqiong
Sun, Ying
He, Chen
Krishnan, Ankur
Neupane, Dipika
Bhandari, Parash Mani
Negeri, Zelalem
Riehm, Kira E.
Rice, Danielle B.
Azar, Marleine
Yan, Xin Wei
Imran, Mahrukh
Chiovitti, Matthew J.
Boruff, Jill T.
McMillan, Dean
Kloda, Lorie A.
Wiese, Birgitt
Williams, Lana J.
Wong, Lai Yi
Benedetti, Andrea
Thombs, Brett D.
author_role author
author2 Levis, Brooke
Daray, Federico Manuel
Ioannidis, John P. A.
Patten, Scott B.
Cuijpers, Pim
Ziegelstein, Roy C.
Gilbody, Simon
Fischer, Felix H.
Fan, Suiqiong
Sun, Ying
He, Chen
Krishnan, Ankur
Neupane, Dipika
Bhandari, Parash Mani
Negeri, Zelalem
Riehm, Kira E.
Rice, Danielle B.
Azar, Marleine
Yan, Xin Wei
Imran, Mahrukh
Chiovitti, Matthew J.
Boruff, Jill T.
McMillan, Dean
Kloda, Lorie A.
Wiese, Birgitt
Williams, Lana J.
Wong, Lai Yi
Benedetti, Andrea
Thombs, Brett D.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv HADS
Major Depression
Screening
Accuracy
topic HADS
Major Depression
Screening
Accuracy
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data metaanalysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from −0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02–0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADSD for detecting major depression. In most settings, the shorter HADS-D would be preferred.
Fil: Yin Wu. Lady Davis Institute For Medical Research; Canadá. McGill University; Canadá
Fil: Levis, Brooke. Lady Davis Institute For Medical Research; Canadá. Keele University; Reino Unido
Fil: Daray, Federico Manuel. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Farmacologia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ioannidis, John P. A.. University of Stanford; Estados Unidos
Fil: Patten, Scott B.. University of Calgary; Canadá
Fil: Cuijpers, Pim. Vrije Universiteit Amsterdam; Países Bajos
Fil: Ziegelstein, Roy C.. University Johns Hopkins; Estados Unidos
Fil: Gilbody, Simon. University of York; Reino Unido
Fil: Fischer, Felix H.. Universität zu Berlin; Alemania
Fil: Fan, Suiqiong. Jewish General Hospital; Canadá
Fil: Sun, Ying. Jewish General Hospital; Canadá
Fil: He, Chen. Jewish General Hospital; Canadá
Fil: Krishnan, Ankur. Jewish General Hospital; Canadá
Fil: Neupane, Dipika. Jewish General Hospital; Canadá
Fil: Bhandari, Parash Mani. Jewish General Hospital; Canadá
Fil: Negeri, Zelalem. Jewish General Hospital; Canadá
Fil: Riehm, Kira E.. Jewish General Hospital; Canadá
Fil: Rice, Danielle B.. Jewish General Hospital; Canadá
Fil: Azar, Marleine. Jewish General Hospital; Canadá
Fil: Yan, Xin Wei. Jewish General Hospital; Canadá
Fil: Imran, Mahrukh. Jewish General Hospital; Canadá
Fil: Chiovitti, Matthew J.. Jewish General Hospital; Canadá
Fil: Boruff, Jill T.. McGill University; Canadá
Fil: McMillan, Dean. University of York; Reino Unido
Fil: Kloda, Lorie A.. Concordia University; Canadá
Fil: Wiese, Birgitt. Hannover Medical School; Alemania
Fil: Williams, Lana J.. Universidad Complutense de Madrid; España
Fil: Wong, Lai Yi. Kwai Chung Hospital; China
Fil: Benedetti, Andrea. McGill University; Canadá
Fil: Thombs, Brett D.. McGill University; Canadá. Jewish General Hospital; Canadá
description The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data metaanalysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from −0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02–0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADSD for detecting major depression. In most settings, the shorter HADS-D would be preferred.
publishDate 2024
dc.date.none.fl_str_mv 2024-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/239210
Yin Wu; Levis, Brooke; Daray, Federico Manuel; Ioannidis, John P. A.; Patten, Scott B.; et al.; Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis; American Psychological Association; Psychological Assessment; 35; 2; 6-2024; 94-114
1939-134X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/239210
identifier_str_mv Yin Wu; Levis, Brooke; Daray, Federico Manuel; Ioannidis, John P. A.; Patten, Scott B.; et al.; Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis; American Psychological Association; Psychological Assessment; 35; 2; 6-2024; 94-114
1939-134X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1037/pas0001181
info:eu-repo/semantics/altIdentifier/url/https://psycnet.apa.org/doiLanding?doi=10.1037%2Fpas0001181
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Psychological Association
publisher.none.fl_str_mv American Psychological Association
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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