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Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis

OBJECTIVE: To evaluate the accuracy of the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) to screen for major depression among people with physical health problems. DESIGN: Systematic review and individual participant data meta-analysis. DATA SOURCES: Medline, Medline In-P...

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Autores principales: Wu, Yin, Levis, Brooke, Sun, Ying, He, Chen, Krishnan, Ankur, Neupane, Dipika, Bhandari, Parash Mani, Negeri, Zelalem, Benedetti, Andrea, Thombs, Brett D, Riehm, Kira E, Rice, Danielle B, Azar, Marleine, Yan, Xin Wei, Imran, Mahrukh, Chiovitti, Matthew J, Saadat, Nazanin, Boruff, Jill T, Cuijpers, Pim, Gilbody, Simon, Ioannidis, John P A, Kloda, Lorie A, Patten, Scott B, Ziegelstein, Roy C, Markham, Sarah, Henry, Melissa, Ismail, Zahinoor, Loiselle, Carmen G, Mitchell, Nicholas D, Tonelli, Marcello, Al-Adawi, Samir, Beck, Kevin R, Beraldi, Anna, Bernstein, Charles N, Boye, Birgitte, Büel-Drabe, Natalie, Bunevicius, Adomas, Can, Ceyhun, Carter, Gregory, Chen, Chih-Ken, Cheung, Gary, Clover, Kerrie, Costa-Requena, Gema, Cukor, Daniel, Dabscheck, Eli, Daray, Federico M, De Souza, Jennifer, Dorow, Marie, Downing, Marina G, Feinstein, Anthony, Ferentinos, Panagiotis P, Fischer, Felix H, Flint, Alastair J, Fujimori, Maiko, Gallagher, Pamela, Gandy, Milena, Grassi, Luigi, Härter, Martin, Hernando, Asuncion, Jenewein, Josef, Jetté, Nathalie, Julião, Miguel, Keller, Monika, Kim, Sung-Wan, Kjærgaard, Marie, Köhler, Sebastian, König, Hans-Helmut, Krishna, Lalit K R, Lee, Yu, Löbner, Margrit, Loosman, Wim L, Love, Anthony W, Löwe, Bernd, Malt, Ulrik F, Marrie, Ruth Ann, Martin-Santos, Rocio, Massardo, Loreto, Matsuoka, Yutaka, Mehnert, Anja, Michopoulos, Ioannis, Misery, Laurent, Navines, Ricard, Nelson, Christian J, Ng, Chong Guan, O’Donnell, Meaghan L, O’Rourke, Suzanne J, Öztürk, Ahmet, Pabst, Alexander, Pasco, Julie A, Peceliuniene, Jurate, Pintor, Luis, Ponsford, Jennie L, Pulido, Federico, Quinn, Terence J, Reme, Silje E, Reuter, Katrin, Rieckmann, Nina, Riedel-Heller, Steffi G, Rooney, Alasdair G, Sánchez-González, Roberto, Saracino, Rebecca M, Schellekens, Melanie P J, Scherer, Martin, Schwarzbold, Marcelo L, Senturk Cankorur, Vesile, Shaaban, Juwita, Sharpe, Louise, Sharpe, Michael, Simard, Sébastien, Singer, Susanne, Stafford, Lesley, Stone, Jon, Strobel, Natalie A, Sultan, Serge, Teixeira, Antonio L, Tiringer, Istvan, Tschorn, Mira, Tung, Ka-Yee, Turner, Alyna, Wagner, Michael, Walker, Jane, Walterfang, Mark, Wang, Liang-Jen, Weyerer, Siegfried B, White, Jennifer, Williams, Lana J, Wong, Lai-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107836/
https://www.ncbi.nlm.nih.gov/pubmed/33972268
http://dx.doi.org/10.1136/bmj.n972
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author Wu, Yin
Levis, Brooke
Sun, Ying
He, Chen
Krishnan, Ankur
Neupane, Dipika
Bhandari, Parash Mani
Negeri, Zelalem
Benedetti, Andrea
Thombs, Brett D
Riehm, Kira E
Rice, Danielle B
Azar, Marleine
Yan, Xin Wei
Imran, Mahrukh
Chiovitti, Matthew J
Saadat, Nazanin
Boruff, Jill T
Cuijpers, Pim
Gilbody, Simon
Ioannidis, John P A
Kloda, Lorie A
Patten, Scott B
Ziegelstein, Roy C
Markham, Sarah
Henry, Melissa
Ismail, Zahinoor
Loiselle, Carmen G
Mitchell, Nicholas D
Tonelli, Marcello
Al-Adawi, Samir
Beck, Kevin R
Beraldi, Anna
Bernstein, Charles N
Boye, Birgitte
Büel-Drabe, Natalie
Bunevicius, Adomas
Can, Ceyhun
Carter, Gregory
Chen, Chih-Ken
Cheung, Gary
Clover, Kerrie
Costa-Requena, Gema
Cukor, Daniel
Dabscheck, Eli
Daray, Federico M
De Souza, Jennifer
Dorow, Marie
Downing, Marina G
Feinstein, Anthony
Ferentinos, Panagiotis P
Fischer, Felix H
Flint, Alastair J
Fujimori, Maiko
Gallagher, Pamela
Gandy, Milena
Grassi, Luigi
Härter, Martin
Hernando, Asuncion
Jenewein, Josef
Jetté, Nathalie
Julião, Miguel
Keller, Monika
Kim, Sung-Wan
Kjærgaard, Marie
Köhler, Sebastian
König, Hans-Helmut
Krishna, Lalit K R
Lee, Yu
Löbner, Margrit
Loosman, Wim L
Love, Anthony W
Löwe, Bernd
Malt, Ulrik F
Marrie, Ruth Ann
Martin-Santos, Rocio
Massardo, Loreto
Matsuoka, Yutaka
Mehnert, Anja
Michopoulos, Ioannis
Misery, Laurent
Navines, Ricard
Nelson, Christian J
Ng, Chong Guan
O’Donnell, Meaghan L
O’Rourke, Suzanne J
Öztürk, Ahmet
Pabst, Alexander
Pasco, Julie A
Peceliuniene, Jurate
Pintor, Luis
Ponsford, Jennie L
Pulido, Federico
Quinn, Terence J
Reme, Silje E
Reuter, Katrin
Rieckmann, Nina
Riedel-Heller, Steffi G
Rooney, Alasdair G
Sánchez-González, Roberto
Saracino, Rebecca M
Schellekens, Melanie P J
Scherer, Martin
Schwarzbold, Marcelo L
Senturk Cankorur, Vesile
Shaaban, Juwita
Sharpe, Louise
Sharpe, Michael
Simard, Sébastien
Singer, Susanne
Stafford, Lesley
Stone, Jon
Strobel, Natalie A
Sultan, Serge
Teixeira, Antonio L
Tiringer, Istvan
Tschorn, Mira
Tung, Ka-Yee
Turner, Alyna
Wagner, Michael
Walker, Jane
Walterfang, Mark
Wang, Liang-Jen
Weyerer, Siegfried B
White, Jennifer
Williams, Lana J
Wong, Lai-Yi
author_facet Wu, Yin
Levis, Brooke
Sun, Ying
He, Chen
Krishnan, Ankur
Neupane, Dipika
Bhandari, Parash Mani
Negeri, Zelalem
Benedetti, Andrea
Thombs, Brett D
Riehm, Kira E
Rice, Danielle B
Azar, Marleine
Yan, Xin Wei
Imran, Mahrukh
Chiovitti, Matthew J
Saadat, Nazanin
Boruff, Jill T
Cuijpers, Pim
Gilbody, Simon
Ioannidis, John P A
Kloda, Lorie A
Patten, Scott B
Ziegelstein, Roy C
Markham, Sarah
Henry, Melissa
Ismail, Zahinoor
Loiselle, Carmen G
Mitchell, Nicholas D
Tonelli, Marcello
Al-Adawi, Samir
Beck, Kevin R
Beraldi, Anna
Bernstein, Charles N
Boye, Birgitte
Büel-Drabe, Natalie
Bunevicius, Adomas
Can, Ceyhun
Carter, Gregory
Chen, Chih-Ken
Cheung, Gary
Clover, Kerrie
Costa-Requena, Gema
Cukor, Daniel
Dabscheck, Eli
Daray, Federico M
De Souza, Jennifer
Dorow, Marie
Downing, Marina G
Feinstein, Anthony
Ferentinos, Panagiotis P
Fischer, Felix H
Flint, Alastair J
Fujimori, Maiko
Gallagher, Pamela
Gandy, Milena
Grassi, Luigi
Härter, Martin
Hernando, Asuncion
Jenewein, Josef
Jetté, Nathalie
Julião, Miguel
Keller, Monika
Kim, Sung-Wan
Kjærgaard, Marie
Köhler, Sebastian
König, Hans-Helmut
Krishna, Lalit K R
Lee, Yu
Löbner, Margrit
Loosman, Wim L
Love, Anthony W
Löwe, Bernd
Malt, Ulrik F
Marrie, Ruth Ann
Martin-Santos, Rocio
Massardo, Loreto
Matsuoka, Yutaka
Mehnert, Anja
Michopoulos, Ioannis
Misery, Laurent
Navines, Ricard
Nelson, Christian J
Ng, Chong Guan
O’Donnell, Meaghan L
O’Rourke, Suzanne J
Öztürk, Ahmet
Pabst, Alexander
Pasco, Julie A
Peceliuniene, Jurate
Pintor, Luis
Ponsford, Jennie L
Pulido, Federico
Quinn, Terence J
Reme, Silje E
Reuter, Katrin
Rieckmann, Nina
Riedel-Heller, Steffi G
Rooney, Alasdair G
Sánchez-González, Roberto
Saracino, Rebecca M
Schellekens, Melanie P J
Scherer, Martin
Schwarzbold, Marcelo L
Senturk Cankorur, Vesile
Shaaban, Juwita
Sharpe, Louise
Sharpe, Michael
Simard, Sébastien
Singer, Susanne
Stafford, Lesley
Stone, Jon
Strobel, Natalie A
Sultan, Serge
Teixeira, Antonio L
Tiringer, Istvan
Tschorn, Mira
Tung, Ka-Yee
Turner, Alyna
Wagner, Michael
Walker, Jane
Walterfang, Mark
Wang, Liang-Jen
Weyerer, Siegfried B
White, Jennifer
Williams, Lana J
Wong, Lai-Yi
author_sort Wu, Yin
collection PubMed
description OBJECTIVE: To evaluate the accuracy of the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) to screen for major depression among people with physical health problems. DESIGN: Systematic review and individual participant data meta-analysis. DATA SOURCES: Medline, Medline In-Process and Other Non-Indexed Citations, PsycInfo, and Web of Science (from inception to 25 October 2018). REVIEW METHODS: Eligible datasets included HADS-D scores and major depression status based on a validated diagnostic interview. Primary study data and study level data extracted from primary reports were combined. For HADS-D cut-off thresholds of 5-15, a bivariate random effects meta-analysis was used to estimate pooled sensitivity and specificity, separately, in studies that used semi-structured diagnostic interviews (eg, Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders), fully structured interviews (eg, Composite International Diagnostic Interview), and the Mini International Neuropsychiatric Interview. One stage meta-regression was used to examine whether accuracy was associated with reference standard categories and the characteristics of participants. Sensitivity analyses were done to assess whether including published results from studies that did not provide raw data influenced the results. RESULTS: Individual participant data were obtained from 101 of 168 eligible studies (60%; 25 574 participants (72% of eligible participants), 2549 with major depression). Combined sensitivity and specificity was maximised at a cut-off value of seven or higher for semi-structured interviews, fully structured interviews, and the Mini International Neuropsychiatric Interview. Among studies with a semi-structured interview (57 studies, 10 664 participants, 1048 with major depression), sensitivity and specificity were 0.82 (95% confidence interval 0.76 to 0.87) and 0.78 (0.74 to 0.81) for a cut-off value of seven or higher, 0.74 (0.68 to 0.79) and 0.84 (0.81 to 0.87) for a cut-off value of eight or higher, and 0.44 (0.38 to 0.51) and 0.95 (0.93 to 0.96) for a cut-off value of 11 or higher. Accuracy was similar across reference standards and subgroups and when published results from studies that did not contribute data were included. CONCLUSIONS: When screening for major depression, a HADS-D cut-off value of seven or higher maximised combined sensitivity and specificity. A cut-off value of eight or higher generated similar combined sensitivity and specificity but was less sensitive and more specific. To identify medically ill patients with depression with the HADS-D, lower cut-off values could be used to avoid false negatives and higher cut-off values to reduce false positives and identify people with higher symptom levels. TRIAL REGISTRATION: PROSPERO CRD42015016761.
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spelling pubmed-81078362021-05-24 Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis Wu, Yin Levis, Brooke Sun, Ying He, Chen Krishnan, Ankur Neupane, Dipika Bhandari, Parash Mani Negeri, Zelalem Benedetti, Andrea Thombs, Brett D Riehm, Kira E Rice, Danielle B Azar, Marleine Yan, Xin Wei Imran, Mahrukh Chiovitti, Matthew J Saadat, Nazanin Boruff, Jill T Cuijpers, Pim Gilbody, Simon Ioannidis, John P A Kloda, Lorie A Patten, Scott B Ziegelstein, Roy C Markham, Sarah Henry, Melissa Ismail, Zahinoor Loiselle, Carmen G Mitchell, Nicholas D Tonelli, Marcello Al-Adawi, Samir Beck, Kevin R Beraldi, Anna Bernstein, Charles N Boye, Birgitte Büel-Drabe, Natalie Bunevicius, Adomas Can, Ceyhun Carter, Gregory Chen, Chih-Ken Cheung, Gary Clover, Kerrie Costa-Requena, Gema Cukor, Daniel Dabscheck, Eli Daray, Federico M De Souza, Jennifer Dorow, Marie Downing, Marina G Feinstein, Anthony Ferentinos, Panagiotis P Fischer, Felix H Flint, Alastair J Fujimori, Maiko Gallagher, Pamela Gandy, Milena Grassi, Luigi Härter, Martin Hernando, Asuncion Jenewein, Josef Jetté, Nathalie Julião, Miguel Keller, Monika Kim, Sung-Wan Kjærgaard, Marie Köhler, Sebastian König, Hans-Helmut Krishna, Lalit K R Lee, Yu Löbner, Margrit Loosman, Wim L Love, Anthony W Löwe, Bernd Malt, Ulrik F Marrie, Ruth Ann Martin-Santos, Rocio Massardo, Loreto Matsuoka, Yutaka Mehnert, Anja Michopoulos, Ioannis Misery, Laurent Navines, Ricard Nelson, Christian J Ng, Chong Guan O’Donnell, Meaghan L O’Rourke, Suzanne J Öztürk, Ahmet Pabst, Alexander Pasco, Julie A Peceliuniene, Jurate Pintor, Luis Ponsford, Jennie L Pulido, Federico Quinn, Terence J Reme, Silje E Reuter, Katrin Rieckmann, Nina Riedel-Heller, Steffi G Rooney, Alasdair G Sánchez-González, Roberto Saracino, Rebecca M Schellekens, Melanie P J Scherer, Martin Schwarzbold, Marcelo L Senturk Cankorur, Vesile Shaaban, Juwita Sharpe, Louise Sharpe, Michael Simard, Sébastien Singer, Susanne Stafford, Lesley Stone, Jon Strobel, Natalie A Sultan, Serge Teixeira, Antonio L Tiringer, Istvan Tschorn, Mira Tung, Ka-Yee Turner, Alyna Wagner, Michael Walker, Jane Walterfang, Mark Wang, Liang-Jen Weyerer, Siegfried B White, Jennifer Williams, Lana J Wong, Lai-Yi BMJ Research OBJECTIVE: To evaluate the accuracy of the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) to screen for major depression among people with physical health problems. DESIGN: Systematic review and individual participant data meta-analysis. DATA SOURCES: Medline, Medline In-Process and Other Non-Indexed Citations, PsycInfo, and Web of Science (from inception to 25 October 2018). REVIEW METHODS: Eligible datasets included HADS-D scores and major depression status based on a validated diagnostic interview. Primary study data and study level data extracted from primary reports were combined. For HADS-D cut-off thresholds of 5-15, a bivariate random effects meta-analysis was used to estimate pooled sensitivity and specificity, separately, in studies that used semi-structured diagnostic interviews (eg, Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders), fully structured interviews (eg, Composite International Diagnostic Interview), and the Mini International Neuropsychiatric Interview. One stage meta-regression was used to examine whether accuracy was associated with reference standard categories and the characteristics of participants. Sensitivity analyses were done to assess whether including published results from studies that did not provide raw data influenced the results. RESULTS: Individual participant data were obtained from 101 of 168 eligible studies (60%; 25 574 participants (72% of eligible participants), 2549 with major depression). Combined sensitivity and specificity was maximised at a cut-off value of seven or higher for semi-structured interviews, fully structured interviews, and the Mini International Neuropsychiatric Interview. Among studies with a semi-structured interview (57 studies, 10 664 participants, 1048 with major depression), sensitivity and specificity were 0.82 (95% confidence interval 0.76 to 0.87) and 0.78 (0.74 to 0.81) for a cut-off value of seven or higher, 0.74 (0.68 to 0.79) and 0.84 (0.81 to 0.87) for a cut-off value of eight or higher, and 0.44 (0.38 to 0.51) and 0.95 (0.93 to 0.96) for a cut-off value of 11 or higher. Accuracy was similar across reference standards and subgroups and when published results from studies that did not contribute data were included. CONCLUSIONS: When screening for major depression, a HADS-D cut-off value of seven or higher maximised combined sensitivity and specificity. A cut-off value of eight or higher generated similar combined sensitivity and specificity but was less sensitive and more specific. To identify medically ill patients with depression with the HADS-D, lower cut-off values could be used to avoid false negatives and higher cut-off values to reduce false positives and identify people with higher symptom levels. TRIAL REGISTRATION: PROSPERO CRD42015016761. BMJ Publishing Group Ltd. 2021-05-10 /pmc/articles/PMC8107836/ /pubmed/33972268 http://dx.doi.org/10.1136/bmj.n972 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Research
Wu, Yin
Levis, Brooke
Sun, Ying
He, Chen
Krishnan, Ankur
Neupane, Dipika
Bhandari, Parash Mani
Negeri, Zelalem
Benedetti, Andrea
Thombs, Brett D
Riehm, Kira E
Rice, Danielle B
Azar, Marleine
Yan, Xin Wei
Imran, Mahrukh
Chiovitti, Matthew J
Saadat, Nazanin
Boruff, Jill T
Cuijpers, Pim
Gilbody, Simon
Ioannidis, John P A
Kloda, Lorie A
Patten, Scott B
Ziegelstein, Roy C
Markham, Sarah
Henry, Melissa
Ismail, Zahinoor
Loiselle, Carmen G
Mitchell, Nicholas D
Tonelli, Marcello
Al-Adawi, Samir
Beck, Kevin R
Beraldi, Anna
Bernstein, Charles N
Boye, Birgitte
Büel-Drabe, Natalie
Bunevicius, Adomas
Can, Ceyhun
Carter, Gregory
Chen, Chih-Ken
Cheung, Gary
Clover, Kerrie
Costa-Requena, Gema
Cukor, Daniel
Dabscheck, Eli
Daray, Federico M
De Souza, Jennifer
Dorow, Marie
Downing, Marina G
Feinstein, Anthony
Ferentinos, Panagiotis P
Fischer, Felix H
Flint, Alastair J
Fujimori, Maiko
Gallagher, Pamela
Gandy, Milena
Grassi, Luigi
Härter, Martin
Hernando, Asuncion
Jenewein, Josef
Jetté, Nathalie
Julião, Miguel
Keller, Monika
Kim, Sung-Wan
Kjærgaard, Marie
Köhler, Sebastian
König, Hans-Helmut
Krishna, Lalit K R
Lee, Yu
Löbner, Margrit
Loosman, Wim L
Love, Anthony W
Löwe, Bernd
Malt, Ulrik F
Marrie, Ruth Ann
Martin-Santos, Rocio
Massardo, Loreto
Matsuoka, Yutaka
Mehnert, Anja
Michopoulos, Ioannis
Misery, Laurent
Navines, Ricard
Nelson, Christian J
Ng, Chong Guan
O’Donnell, Meaghan L
O’Rourke, Suzanne J
Öztürk, Ahmet
Pabst, Alexander
Pasco, Julie A
Peceliuniene, Jurate
Pintor, Luis
Ponsford, Jennie L
Pulido, Federico
Quinn, Terence J
Reme, Silje E
Reuter, Katrin
Rieckmann, Nina
Riedel-Heller, Steffi G
Rooney, Alasdair G
Sánchez-González, Roberto
Saracino, Rebecca M
Schellekens, Melanie P J
Scherer, Martin
Schwarzbold, Marcelo L
Senturk Cankorur, Vesile
Shaaban, Juwita
Sharpe, Louise
Sharpe, Michael
Simard, Sébastien
Singer, Susanne
Stafford, Lesley
Stone, Jon
Strobel, Natalie A
Sultan, Serge
Teixeira, Antonio L
Tiringer, Istvan
Tschorn, Mira
Tung, Ka-Yee
Turner, Alyna
Wagner, Michael
Walker, Jane
Walterfang, Mark
Wang, Liang-Jen
Weyerer, Siegfried B
White, Jennifer
Williams, Lana J
Wong, Lai-Yi
Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis
title Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis
title_full Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis
title_fullStr Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis
title_full_unstemmed Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis
title_short Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis
title_sort accuracy of the hospital anxiety and depression scale depression subscale (hads-d) to screen for major depression: systematic review and individual participant data meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107836/
https://www.ncbi.nlm.nih.gov/pubmed/33972268
http://dx.doi.org/10.1136/bmj.n972
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