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2. 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

Author

Azar, Marleine, Bhandari, Parash Mani, Chiovitti, Matthew J., He, Chen, Imran, Mahrukh, Krishnan, Ankur, Negeri, Zelalem, Neupane, Dipika, Riehm, Kira E., Yan, Xin Wei, Kloda, Lorie A., Henry, Melissa, Ismail, Zahinoor, Loiselle, Carmen G., Mitchell, Nicholas D., Al-Adawi, Samir, Alvarado, Rubén, Amtmann, Dagmar, Arroll, Bruce, Ayalon, Liat, Baradaran, Hamid R., Barnes, Jacqueline, Beck, Kevin R., Beck, Cheryl Tatano, Bernstein, Charles N., Bindt, Carola, Bombardier, Charles H., Boye, Birgitte, Büel-Drabe, Natalie, Buji, Ryna Imma, Bunevicius, Adomas, Butterworth, Peter, Can, Ceyhun, Carter, Gregory, Chagas, Marcos H., Chan, Juliana C.N., Chan, Lai Fong, Chen, Chih-Ken, Chibanda, Dixon, Chorwe-Sungani, Genesis, Clover, Kerrie, Conroy, Ronán M., Conway, Aaron, Conwell, Yeates, Correa, Humberto, Couto, Thiago Castro e, Cukor, Daniel, Daray, Federico M., de Man-van Ginkel, Janneke M., De Souza, Jennifer, Downing, Marina G., Eapen, Valsamma, Fann, Jesse R., Favez, Nicolas, Felice, Ethel, Fellmeth, Gracia, Ferentinos, Panagiotis P., Fernandes, Michelle, Field, Sally, Figueiredo, Barbara, Fischer, Felix H., Fisher, Jane R.W., Flint, Alastair J., Fujimori, Maiko, Fung, Daniel S.S., Gallagher, Pamela, Gandy, Milena, Gelaye, Bizu, Gholizadeh, Leila, Gibson, Lorna J., Goodyear-Smith, Felicity, Grassi, Luigi, Green, Eric P., Greeno, Catherine G., Hall, Brian J., Hantsoo, Liisa, Haroz, Emily E., Härter, Martin, Hegerl, Ulrich, Helle, Nadine, Hernando, Asuncion, Hides, Leanne, Hobfoll, Stevan E., Honikman, Simone, Howard, Louise M., Hyphantis, Thomas, Iglesias-González, Maria, Inagaki, Masatoshi, Jenewein, Josef, Jeon, Hong Jin, Jetté, Nathalie, Julião, Miguel, Kettunen, Pirjo A., Khamseh, Mohammad E., Kiely, Kim M., Kim, Sung-Wan, Kjærgaard, Marie, Kohlhoff, Jane, Kohrt, Brandon A., König, Hans-Helmut, Kozinszky, Zoltán, Kwan, Yunxin, Lamers, Femke, Lara, María Asunción, Leonardou, Angeliki A., Levin-Aspenson, Holly F., Liu, Shen-Ing, Löbner, Margrit, Loosman, Wim L., Lotrakul, Manote, Loureiro, Sonia R., Love, Anthony W., Löwe, Bernd, Luitel, Nagendra P., Lund, Crick, Maes, Michael, Malt, Ulrik F., Marrie, Ruth Ann, Marsh, Laura, Martínez, Pablo, Marx, Brian P., Matsuoka, Yutaka, McGuire, Anthony, Mehnert, Anja, Michopoulos, Ioannis, Sidik, Sherina Mohd, Müller-Nordhorn, Jacqueline, Muramatsu, Kumiko, Radoš, Sandra Nakić, Navarrete, Laura, Nelson, Christian J., Ng, Chong Guan, Nishi, Daisuke, O'Donnell, Meaghan L., O'Rourke, Suzanne J., Osório, Flávia L., Pabst, Alexander, Pasco, Julie A., Pawlby, Susan J., Peceliuniene, Jurate, Pence, Brian W., Persoons, Philippe, Petersen, Inge, Picardi, Angelo, Ponsford, Jennie L., Pugh, Stephanie L., Pulido, Federico, Quinn, Terence J., Quispel, Chantal, Rathod, Sujit D., Reme, Silje E., Reuter, Katrin, Riedel-Heller, Steffi G., Rooney, Alasdair G., Santos, Iná S., Saracino, Rebecca M., Schellekens, Melanie P.J., Schwarzbold, Marcelo L., Cankorur, Vesile Senturk, Shaaban, Juwita, Sharp, Deborah J., Sharpe, Louise, Shinn, Eileen H., Sidebottom, Abbey, Simard, Sébastien, Singer, Susanne, Skalkidou, Alkistis, Smith-Nielsen, Johanne, Spangenberg, Lena, Stafford, Lesley, Stein, Alan, Stewart, Robert C., Strobel, Natalie A., Su, Kuan-Pin, Sultan, Serge, Sundström-Poromaa, Inger, Sung, Sharon C., Suzuki, Keiko, Tadinac, Meri, Tan, Pei Lin Lynnette, Tandon, S. Darius, Taylor-Rowan, Martin, Teixeira, Antonio L., Tendais, Iva, Tiringer, Istvan, Töreki, Annamária, Tran, Thach D., Trevillion, Kylee, Tschorn, Mira, Turner, Alyna, Væver, Mette S., van der Feltz-Cornelis, Christina M., van Heyningen, Thandi, Vega-Dienstmaier, Johann M., Wagner, Michael, Wagner, Lynne I., Wang, Liang-Jen, Wang, Jian Li, Watson, David, Weyerer, Siegfried B., White, Jennifer, Whooley, Mary A., Wiese, Birgitt, Williams, Lana J., Winkley, Kirsty, Wynter, Karen, Yamada, Mitsuhiko, Yonkers, Kimberly A., Zeng, Qing Zhi, Zhang, Yuying, Harel, Daphna, Wu, Yin, Levis, Brooke, Fan, Suiqiong, Sun, Ying, Xu, Mingyao, Rice, Danielle B., Boruff, Jill, Markham, Sarah, Ioannidis, John P.A., Takwoingi, Yemisi, Patten, Scott B., Ziegelstein, Roy C., Cuijpers, Pim, Gilbody, Simon, Vigod, Simone, Akena, Dickens, Benedetti, Andrea, and Thombs, Brett D.

Published
2024
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4. Effects of mental health interventions among people hospitalized with COVID-19 infection: A systematic review of randomized controlled trials

Author

Tasleem, Amina, Wang, Yutong, Li, Kexin, Jiang, Xiaowen, Krishnan, Ankur, He, Chen, Sun, Ying, Wu, Yin, Fan, Suiqiong, Boruff, Jill T., Markham, Sarah, Rice, Danielle B., Bonardi, Olivia, Dal Santo, Tiffany, Li, Letong, Thombs-Vite, Ian, Agic, Branka, Fahim, Christine, Martin, Michael S., Sockalingam, Sanjeev, Benedetti, Andrea, and Thombs, Brett D.

Published
2022
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7. Systematic review of mental health symptom changes by sex or gender in early-COVID-19 compared to pre-pandemic

Author

Dal Santo, Tiffany, Sun, Ying, Wu, Yin, He, Chen, Wang, Yutong, Jiang, Xiaowen, Li, Kexin, Bonardi, Olivia, Krishnan, Ankur, Boruff, Jill T., Rice, Danielle B., Markham, Sarah, Levis, Brooke, Azar, Marleine, Neupane, Dipika, Tasleem, Amina, Yao, Anneke, Thombs-Vite, Ian, Agic, Branka, Fahim, Christine, Martin, Michael S., Sockalingam, Sanjeev, Turecki, Gustavo, Benedetti, Andrea, and Thombs, Brett D.

Published
2022
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11. Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data

Author

Sun, Ying, He, Chen, Rice, Danielle B., Krishnan, Ankur, Wu, Yin, Azar, Marleine, Sanchez, Tatiana A., Chiovitti, Matthew J., Saadat, Nazanin, Riehm, Kira E., Imran, Mahrukh, Negeri, Zelalem, Boruff, Jill T., Cuijpers, Pim, Gilbody, Simon, Ioannidis, John P.A., Kloda, Lorie A., Ziegelstein, Roy C., Comeau, Liane, Mitchell, Nicholas D., Tonelli, Marcello, Vigod, Simone N., Aceti, Franca, Alvarado, Rubén, Alvarado-Esquivel, Cosme, Bakare, Muideen O., Barnes, Jacqueline, Bavle, Amar D., Beck, Cheryl Tatano, Bindt, Carola, Boyce, Philip M., Bunevicius, Adomas, Castro e Couto, Tiago, Chaudron, Linda H., Correa, Humberto, de Figueiredo, Felipe Pinheiro, Eapen, Valsamma, Favez, Nicolas, Felice, Ethel, Fernandes, Michelle, Figueiredo, Barbara, Fisher, Jane R.W., Garcia-Esteve, Lluïsa, Giardinelli, Lisa, Helle, Nadine, Howard, Louise M., Khalifa, Dina Sami, Kohlhoff, Jane, Kozinszky, Zoltán, Kusminskas, Laima, Lelli, Lorenzo, Leonardou, Angeliki A., Maes, Michael, Meuti, Valentina, Radoš, Sandra Nakić, García, Purificación Navarro, Nishi, Daisuke, Luwa E-Andjafono, Daniel Okitundu, Pawlby, Susan J., Quispel, Chantal, Robertson-Blackmore, Emma, Rochat, Tamsen J., Rowe, Heather J., Sharp, Deborah J., Siu, Bonnie W.M., Skalkidou, Alkistis, Stein, Alan, Stewart, Robert C., Su, Kuan-Pin, Sundström-Poromaa, Inger, Tadinac, Meri, Tandon, S. Darius, Tendais, Iva, Thiagayson, Pavaani, Töreki, Annamária, Torres-Giménez, Anna, Tran, Thach D., Trevillion, Kylee, Turner, Katherine, Vega-Dienstmaier, Johann M., Wynter, Karen, Yonkers, Kimberly A., Bhandari, Parash Mani, Levis, Brooke, Neupane, Dipika, Patten, Scott B., Shrier, Ian, Thombs, Brett D., and Benedetti, Andrea

Published
2021
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12. The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression : An Individual Participant Data Meta-Analysis

Author

He, Chen, Levis, Brooke, Riehm, Kira E., Saadat, Nazanin, Levis, Alexander W., Azar, Marleine, Rice, Danielle B., Krishnan, Ankur, Wu, Yin, Sun, Ying, Imran, Mahrukh, Boruff, Jill, Cuijpers, Pim, Gilbody, Simon, Ioannidis, John P.A., Kloda, Lorie A., McMillan, Dean, Patten, Scott B., Shrier, Ian, Ziegelstein, Roy C., Akena, Dickens H., Arroll, Bruce, Ayalon, Liat, Baradaran, Hamid R., Baron, Murray, Beraldi, Anna, Bombardier, Charles H., Butterworth, Peter, Carter, Gregory, Chagas, Marcos Hortes Nisihara, Chan, Juliana C.N., Cholera, Rushina, Clover, Kerrie, Conwell, Yeates, de Man-van Ginkel, Janneke M., Fann, Jesse R., Fischer, Felix H., Fung, Daniel, Gelaye, Bizu, Goodyear-Smith, Felicity, Greeno, Catherine G., Hall, Brian J., Harrison, Patricia A., Härter, Martin, Hegerl, Ulrich, Hides, Leanne, Hobfoll, Stevan E., Hudson, Marie, Hyphantis, Thomas N., Inagaki, Masatoshi, Ismail, Khalida, Jetté, Nathalie, Khamseh, Mohammad E., Kiely, Kim M., Kwan, Yunxin, Lamers, Femke, Liu, Shen-Ing, Lotrakul, Manote, Loureiro, Sonia R., Löwe, Bernd, Marsh, Laura, McGuire, Anthony, Mohd-Sidik, Sherina, Munhoz, Tiago N., Muramatsu, Kumiko, Osório, Flávia L., Patel, Vikram, Pence, Brian W., Persoons, Philippe, Picardi, Angelo, Reuter, Katrin, Rooney, Alasdair G., da Silva dos Santos, Iná S., Shaaban, Juwita, Sidebottom, Abbey, Simning, Adam, Stafford, Lesley, Sung, Sharon, Tan, Pei Lin Lynnette, Turner, Alyna, van Weert, Henk C.P.M., White, Jennifer, Whooley, Mary A., Winkley, Kirsty, Yamada, Mitsuhiko, Thombs, Brett D., and Benedetti, Andrea

Published
2020

14. Effects of a multi-faceted education and support programme on anxiety symptoms among people with systemic sclerosis and anxiety during COVID-19 (SPIN-CHAT): a two-arm parallel, partially nested, randomised, controlled trial

Author

Thombs, Brett D, Kwakkenbos, Linda, Levis, Brooke, Bourgeault, Angelica, Henry, Richard S, Levis, Alexander W, Harb, Sami, Tao, Lydia, Carrier, Marie-Eve, Bustamante, Laura, Duchek, Delaney, Dyas, Laura, El-Baalbaki, Ghassan, Ellis, Kelsey, Rice, Danielle B, Wurz, Amanda, Nordlund, Julia, Gagarine, Maria, Turner, Kimberly A, Østbø, Nora, Culos-Reed, Nicole, Hebblethwaite, Shannon, Patten, Scott, Bartlett, Susan J, Varga, John, Mouthon, Luc, Markham, Sarah, Martin, Michael S, and Benedetti, Andrea

Published
2021
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15. Factors associated with fears due to COVID-19: A Scleroderma Patient-centered Intervention Network (SPIN) COVID-19 cohort study

Author

Fortuné, Catherine, Gietzen, Amy, Guillot, Geneviève, Lewis, Nancy, Richard, Michelle, Sauvé, Maureen, Welling, Joep, Fligelstone, Kim, Gottesman, Karen, Leite, Catarina, Pérez, Elisabet, Baron, Murray, Malcarne, Vanessa, Mayes, Maureen D., Nielson, Warren R., Riggs, Robert, Assassi, Shervin, Ells, Carolyn, van den Ende, Cornelia, Frech, Tracy, Harel, Daphna, Hinchcliff, Monique, Hudson, Marie, Johnson, Sindhu R., Larche, Maggie, Nguyen, Christelle, Pope, Janet, Rannou, François, Reyna, Tatiana Sofia Rodriguez, Schouffoer, Anne A., Suarez-Almazor, Maria E., Agard, Christian, Albert, Alexandra, Bernstein, Elana J., Berthier, Sabine, Bissonnette, Lyne, Bruns, Alessandra, Carreira, Patricia, Chaigne, Benjamin, Chung, Lorinda, Correia, Chase, Denton, Christopher, Domsic, Robyn, Dunne, James V., Dunogue, Bertrand, Farge-Bancel, Dominique, Fortin, Paul R., Gordon, Jessica, Granel-Rey, Brigitte, Hatron, Pierre-Yves, Herrick, Ariane L., Hoa, Sabrina, Jones, Niall, Fernandes, Artur Jose de B., Kafaja, Suzanne, Khalidi, Nader, Launay, David, Manning, Joanne, Marie, Isabelle, Martin, Maria, Mekinian, Arsene, Melchor, Sheila, Nikpour, Mandana, Olagne, Louis, Proudman, Susanna, Régent, Alexis, Rivière, Sébastien, Robinson, David, Rodriguez, Esther, Roux, Sophie, Sobanski, Vincent, Steen, Virginia, Sutton, Evelyn, Thorne, Carter, Wilcox, Pearce, Ayala, Mara Cañedo, Carboni-Jiménez, Andrea, Gagarine, Maria, Nordlund, Julia, Østbø, Nora, Rice, Danielle B., Turner, Kimberly A., Culos-Reed, Nicole, Dyas, Laura, El-Baalbaki, Ghassan, Hebblethwaite, Shannon, Bustamante, Laura, Duchek, Delaney, Ellis, Kelsey, Wu, Yin, Kwakkenbos, Linda, Henry, Richard S., Carrier, Marie-Eve, Harb, Sami, Bourgeault, Angelica, Tao, Lydia, Negeri, Zelalem, Patten, Scott, Bartlett, Susan J., Mouthon, Luc, Varga, John, Benedetti, Andrea, and Thombs, Brett D.

Published
2021
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16. Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis

Author

Brehaut, Eliana, Neupane, Dipika, Levis, Brooke, Wu, Yin, Sun, Ying, Krishnan, Ankur, He, Chen, Bhandari, Parash Mani, Negeri, Zelalem, Riehm, Kira E., Rice, Danielle B., Azar, Marleine, Yan, Xin Wei, Imran, Mahrukh, Chiovitti, Matthew J., Saadat, Nazanin, Cuijpers, Pim, Ioannidis, John P.A., Markham, Sarah, Patten, Scott B., Ziegelstein, Roy C., Henry, Melissa, Ismail, Zahinoor, Loiselle, Carmen G., Mitchell, Nicholas D., Tonelli, Marcello, Boruff, Jill T., Kloda, Lorie A., Beraldi, Anna, Braeken, Anna P.B.M., Carter, Gregory, Clover, Kerrie, Conroy, Ronán M., Cukor, Daniel, da Rocha e Silva, Carlos E., De Souza, Jennifer, Downing, Marina G., Feinstein, Anthony, Ferentinos, Panagiotis P., Fischer, Felix H., Flint, Alastair J., Fujimori, Maiko, Gallagher, Pamela, Goebel, Simone, Jetté, Nathalie, Julião, Miguel, Keller, Monika, Kjærgaard, Marie, Love, Anthony W., Löwe, Bernd, Martin-Santos, Rocio, Michopoulos, Ioannis, Navines, Ricard, O’Rourke, Suzanne J., Öztürk, Ahmet, Pintor, Luis, Ponsford, Jennie L., Rooney, Alasdair G., Sánchez-González, Roberto, Schwarzbold, Marcelo L., Sharpe, Michael, Simard, Sébastien, Singer, Susanne, Stone, Jon, Tung, Ka-Yee, Turner, Alyna, Walker, Jane, Walterfang, Mark, White, Jennifer, Benedetti, Andrea, and Thombs, Brett D.

Published
2020
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17. Changes in mental health symptoms from pre-COVID-19 to COVID-19 among participants with systemic sclerosis from four countries: A Scleroderma Patient-centered Intervention Network (SPIN) Cohort study

Author

Fortuné, Catherine, Gietzen, Amy, Guillot, Geneviève, Lewis, Nancy, Richard, Michelle, Sauvé, Maureen, Welling, Joep, Fligelstone, Kim, Gottesman, Karen, Leite, Catarina, Pérez, Elisabet, Baron, Murray, Malcarne, Vanessa, Mayes, Maureen D., Nielson, Warren R., Riggs, Robert, Assassi, Shervin, Ells, Carolyn, van den Ende, Cornelia, Frech, Tracy, Harel, Daphna, Hinchcliff, Monique, Hudson, Marie, Johnson, Sindhu R., Larche, Maggie, Nguyen, Christelle, Pope, Janet, Rannou, François, Reyna, Tatiana Sofia Rodriguez, Schouffoer, Anne A., Suarez-Almazor, Maria E., Agard, Christian, Albert, Alexandra, Bernstein, Elana J., Berthier, Sabine, Bissonnette, Lyne, Bruns, Alessandra, Carreira, Patricia, Chaigne, Benjamin, Chung, Lorinda, Correia, Chase, Denton, Christopher, Domsic, Robyn, Dunne, James V., Dunogue, Bertrand, Farge-Bancel, Dominique, Fortin, Paul R., Gordon, Jessica, Granel-Rey, Brigitte, Hatron, Pierre-Yves, Herrick, Ariane L., Hoa, Sabrina, Jones, Niall, Fernandes, Artur Jose de B., Kafaja, Suzanne, Khalidi, Nader, Launay, David, Manning, Joanne, Marie, Isabelle, Martin, Maria, Mekinian, Arsene, Melchor, Sheila, Nikpour, Mandana, Olagne, Louis, Proudman, Susanna, Régent, Alexis, Rivière, Sébastien, Robinson, David, Rodriguez, Esther, Roux, Sophie, Sobanski, Vincent, Steen, Virginia, Sutton, Evelyn, Thorne, Carter, Wilcox, Pearce, Ayala, Mara Cañedo, Carboni-Jiménez, Andrea, Gagarine, Maria, Nordlund, Julia, Østbø, Nora, Rice, Danielle B., Turner, Kimberly A., Culos-Reed, Nicole, Dyas, Laura, El-Baalbaki, Ghassan, Hebblethwaite, Shannon, Bustamante, Laura, Duchek, Delaney, Ellis, Kelsey, Thombs, Brett D., Kwakkenbos, Linda, Henry, Richard S., Carrier, Marie-Eve, Patten, Scott, Harb, Sami, Bourgeault, Angelica, Tao, Lydia, Bartlett, Susan J., Mouthon, Luc, Varga, John, and Benedetti, Andrea

Published
2020
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18. Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

Author

Levis, Brooke, Benedetti, Andrea, Ioannidis, John P.A., Sun, Ying, Negeri, Zelalem, He, Chen, Wu, Yin, Krishnan, Ankur, Bhandari, Parash Mani, Neupane, Dipika, Imran, Mahrukh, Rice, Danielle B., Riehm, Kira E., Saadat, Nazanin, Azar, Marleine, Boruff, Jill, Cuijpers, Pim, Gilbody, Simon, Kloda, Lorie A., McMillan, Dean, Patten, Scott B., Shrier, Ian, Ziegelstein, Roy C., Alamri, Sultan H., Amtmann, Dagmar, Ayalon, Liat, Baradaran, Hamid R., Beraldi, Anna, Bernstein, Charles N., Bhana, Arvin, Bombardier, Charles H., Carter, Gregory, Chagas, Marcos H., Chibanda, Dixon, Clover, Kerrie, Conwell, Yeates, Diez-Quevedo, Crisanto, Fann, Jesse R., Fischer, Felix H., Gholizadeh, Leila, Gibson, Lorna J., Green, Eric P., Greeno, Catherine G., Hall, Brian J., Haroz, Emily E., Ismail, Khalida, Jetté, Nathalie, Khamseh, Mohammad E., Kwan, Yunxin, Lara, Maria Asunción, Liu, Shen-Ing, Loureiro, Sonia R., Löwe, Bernd, Marrie, Ruth Ann, Marsh, Laura, McGuire, Anthony, Muramatsu, Kumiko, Navarrete, Laura, Osório, Flávia L., Petersen, Inge, Picardi, Angelo, Pugh, Stephanie L., Quinn, Terence J., Rooney, Alasdair G., Shinn, Eileen H., Sidebottom, Abbey, Spangenberg, Lena, Tan, Pei Lin Lynnette, Taylor-Rowan, Martin, Turner, Alyna, van Weert, Henk C., Vöhringer, Paul A., Wagner, Lynne I., White, Jennifer, Winkley, Kirsty, and Thombs, Brett D.

Published
2020
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19. Group sample sizes in nonregulated health care intervention trials described as randomized controlled trials were overly similar

Author

Thombs, Brett D., Levis, Alexander W., Azar, Marleine, Saadat, Nazanin, Riehm, Kira E., Sanchez, Tatiana A., Chiovitti, Matthew J., Rice, Danielle B., Levis, Brooke, Fedoruk, Claire, Lyubenova, Anita, Malo Vázquez de Lara, Aurelio López, Kloda, Lorie A., Benedetti, Andrea, Shrier, Ian, Platt, Robert W., and Kimmelman, Jonathan

Published
2020
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20. Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Author

Wu, Yin, Levis, Brooke, Sun, Ying, Krishnan, Ankur, He, Chen, Riehm, Kira E., Rice, Danielle B., Azar, Marleine, Yan, Xin Wei, Neupane, Dipika, Bhandari, Parash Mani, Imran, Mahrukh, Chiovitti, Matthew J., Saadat, Nazanin, Boruff, Jill T., Cuijpers, Pim, Gilbody, Simon, McMillan, Dean, Ioannidis, John P.A., Kloda, Lorie A., Patten, Scott B., Shrier, Ian, Ziegelstein, Roy C., Henry, Melissa, Ismail, Zahinoor, Loiselle, Carmen G., Mitchell, Nicholas D., Tonelli, Marcello, Al-Adawi, Samir, Beraldi, Anna, Braeken, Anna P.B.M., Büel-Drabe, Natalie, Bunevicius, Adomas, Carter, Gregory, Chen, Chih-Ken, Cheung, Gary, Clover, Kerrie, Conroy, Ronán M., Cukor, Daniel, da Rocha e Silva, Carlos E., Dabscheck, Eli, Daray, Federico M., Douven, Elles, Downing, Marina G., Feinstein, Anthony, Ferentinos, Panagiotis P., Fischer, Felix H., Flint, Alastair J., Fujimori, Maiko, Gallagher, Pamela, Gandy, Milena, Goebel, Simone, Grassi, Luigi, Härter, Martin, Jenewein, Josef, Jetté, Nathalie, Julião, Miguel, Kim, Jae-Min, Kim, Sung-Wan, Kjærgaard, Marie, Köhler, Sebastian, Loosman, Wim L., Löwe, Bernd, Martin-Santos, Rocio, Massardo, Loreto, Matsuoka, Yutaka, Mehnert, Anja, Michopoulos, Ioannis, Misery, Laurent, Navines, Ricard, O'Donnell, Meaghan L., Öztürk, Ahmet, Peceliuniene, Jurate, Pintor, Luis, Ponsford, Jennie L., Quinn, Terence J., Reme, Silje E., Reuter, Katrin, Rooney, Alasdair G., Sánchez-González, Roberto, Schwarzbold, Marcelo L., Senturk Cankorur, Vesile, Shaaban, Juwita, Sharpe, Louise, Sharpe, Michael, Simard, Sébastien, Singer, Susanne, Stafford, Lesley, Stone, Jon, Sultan, Serge, Teixeira, Antonio L., Tiringer, Istvan, Turner, Alyna, Walker, Jane, Walterfang, Mark, Wang, Liang-Jen, White, Jennifer, Wong, Dana K., Benedetti, Andrea, and Thombs, Brett D.

Published
2020
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24. An empirical comparison of statistical methods for multiple cut-off diagnostic test accuracy meta-analysis of the Edinburgh postnatal depression scale (EPDS) depression screening tool using published results vs individual participant data.

Author

Negeri, Zelalem F., Levis, Brooke, Ioannidis, John P. A., Thombs, Brett D., Benedetti, Andrea, the DEPRESsion Screening Data (DEPRESSD) EPDS Group, Sun, Ying, He, Chen, Krishnan, Ankur, Wu, Yin, Bhandari, Parash Mani, Neupane, Dipika, Imran, Mahrukh, Rice, Danielle B., Azar, Marleine, Chiovitti, Matthew J., Riehm, Kira E., Boruff, Jill T., Cuijpers, Pim, and Gilbody, Simon

Abstract

Background: Selective reporting of results from only well-performing cut-offs leads to biased estimates of accuracy in primary studies of questionnaire-based screening tools and in meta-analyses that synthesize results. Individual participant data meta-analysis (IPDMA) of sensitivity and specificity at each cut-off via bivariate random-effects models (BREMs) can overcome this problem. However, IPDMA is laborious and depends on the ability to successfully obtain primary datasets, and BREMs ignore the correlation between cut-offs within primary studies. Methods: We compared the performance of three recent multiple cut-off models developed by Steinhauser et al., Jones et al., and Hoyer and Kuss, that account for missing cut-offs when meta-analyzing diagnostic accuracy studies with multiple cut-offs, to BREMs fitted at each cut-off. We used data from 22 studies of the accuracy of the Edinburgh Postnatal Depression Scale (EPDS; 4475 participants, 758 major depression cases). We fitted each of the three multiple cut-off models and BREMs to a dataset with results from only published cut-offs from each study (published data) and an IPD dataset with results for all cut-offs (full IPD data). We estimated pooled sensitivity and specificity with 95% confidence intervals (CIs) for each cut-off and the area under the curve. Results: Compared to the BREMs fitted to the full IPD data, the Steinhauser et al., Jones et al., and Hoyer and Kuss models fitted to the published data produced similar receiver operating characteristic curves; though, the Hoyer and Kuss model had lower area under the curve, mainly due to estimating slightly lower sensitivity at lower cut-offs. When fitting the three multiple cut-off models to the full IPD data, a similar pattern of results was observed. Importantly, all models had similar 95% CIs for sensitivity and specificity, and the CI width increased with cut-off levels for sensitivity and decreased with an increasing cut-off for specificity, even the BREMs which treat each cut-off separately. Conclusions: Multiple cut-off models appear to be the favorable methods when only published data are available. While collecting IPD is expensive and time consuming, IPD can facilitate subgroup analyses that cannot be conducted with published data only. [ABSTRACT FROM AUTHOR]

Published
2024
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25. A qualitative interview study exploring the psychological health impacts of the SPIN-CHAT program among people with systemic sclerosis at the onset of COVID-19: perceptions of trial participants and research team members.

Author

Wurz, Amanda, Duchek, Delaney, Ellis, Kelsey, Bansal, Mannat, Carrier, Marie-Eve, Tao, Lydia, Dyas, Laura, Kwakkenbos, Linda, Levis, Brooke, El-Baalbaki, Ghassan, Rice, Danielle B., Wu, Yin, Henry, Richard S., Bustamante, Laura, Harb, Sami, Hebblethwaite, Shannon, Patten, Scott B., Bartlett, Susan J., Varga, John, and Mouthon, Luc

Subjects
HUMAN research subjects, CROSS-sectional method, RESEARCH methodology, SELF-management (Psychology), SYSTEMIC scleroderma, MENTAL health, VIDEOCONFERENCING, INTERVIEWING, QUALITATIVE research, SUPPORT groups, RESEARCH funding, HEALTH impact assessment, THEMATIC analysis, COVID-19 pandemic, HEALTH promotion, GROUP process
Abstract

Explore trial participants' and research team members' perceptions of the impact of the videoconference-based, supportive care program (SPIN-CHAT Program) during early COVID-19 for individuals with systemic sclerosis (SSc). Data were collected cross-sectionally. A social constructivist paradigm was adopted, and one-on-one videoconference-based, semi-structured interviews were conducted with SPIN-CHAT Trial participants and research team members. A hybrid inductive-deductive approach and reflexive thematic analysis were used. Of the 40 SPIN-CHAT Trial participants and 28 research team members approached, 30 trial participants (Mean age = 54.9; SD = 13.0 years) and 22 research team members agreed to participate. Those who took part in interviews had similar characteristics to those who declined. Five themes were identified: (1) The SPIN-CHAT Program conferred a range of positive psychological health outcomes, (2) People who don't have SSc don't get it: The importance of SSc-specific programming, (3) The group-based format of the SPIN-CHAT Program created a safe space to connect and meet similar others, (4) The structure and schedule of the SPIN-CHAT Program reduced feelings of boredom and contributed to enhanced psychological health, (5) The necessity of knowledge, skills, and tools to self-manage SSc and navigate COVID-19. Participants' and research team members' perspectives elucidated SPIN-CHAT Program benefits and how these benefits may have been realized. Results underscore the importance of social support from similar others, structure, and self-management to enhance psychological health during COVID-19. clinicaltrials.gov (NCT04335279) The videoconference-based, supportive care SPIN-CHAT Program enhanced psychological health amongst individuals affected by systemic sclerosis. SPIN-CHAT Program participants and research team members shared that being around similar others, program structure, and self-management support were important and may have contributed to enhanced psychological health. Further efforts are required to explore experiences within supportive care programs to better understand if and how psychological health is impacted. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Safety of influenza vaccination during pregnancy: a systematic review

Author

Wolfe, Dianna M, primary, Fell, Deshayne, additional, Garritty, Chantelle, additional, Hamel, Candyce, additional, Butler, Claire, additional, Hersi, Mona, additional, Ahmadzai, Nadera, additional, Rice, Danielle B, additional, Esmaeilisaraji, Leila, additional, Michaud, Alan, additional, Soobiah, Charlene, additional, Ghassemi, Marco, additional, Khan, Paul A, additional, Sinilaite, Angela, additional, Skidmore, Becky, additional, Tricco, Andrea C, additional, Moher, David, additional, and Hutton, Brian, additional

Published
2023
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29. Epidemiological characteristics and prevalence rates of research reproducibility across disciplines: A scoping review of articles published in 2018-2019

Author

Cobey, Kelly D, primary, Fehlmann, Christophe A, additional, Christ Franco, Marina, additional, Ayala, Ana Patricia, additional, Sikora, Lindsey, additional, Rice, Danielle B, additional, Xu, Chenchen, additional, Ioannidis, John PA, additional, Lalu, Manoj M, additional, Ménard, Alixe, additional, Neitzel, Andrew, additional, Nguyen, Bea, additional, Tsertsvadze, Nino, additional, and Moher, David, additional

Published
2023
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34. Comparison of mental health symptoms before and during the covid-19 pandemic: evidence from a systematic review and meta-analysis of 134 cohorts

Author

Sun, Ying, primary, Wu, Yin, additional, Fan, Suiqiong, additional, Dal Santo, Tiffany, additional, Li, Letong, additional, Jiang, Xiaowen, additional, Li, Kexin, additional, Wang, Yutong, additional, Tasleem, Amina, additional, Krishnan, Ankur, additional, He, Chen, additional, Bonardi, Olivia, additional, Boruff, Jill T, additional, Rice, Danielle B, additional, Markham, Sarah, additional, Levis, Brooke, additional, Azar, Marleine, additional, Thombs-Vite, Ian, additional, Neupane, Dipika, additional, Agic, Branka, additional, Fahim, Christine, additional, Martin, Michael S, additional, Sockalingam, Sanjeev, additional, Turecki, Gustavo, additional, Benedetti, Andrea, additional, and Thombs, Brett D, additional

Published
2023
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35. Individual participant data meta-analysis to compare EPDS accuracy to detect major depression with and without the self-harm item

Author

Qiu, Xia, Wu, Yin, Sun, Ying, Levis, Brooke, Tian, Jizhou, Boruff, Jill T., Cuijpers, Pim, Ioannidis, John P. A., Markham, Sarah, Ziegelstein, Roy C., Vigod, Simone N., Benedetti, Andrea, Thombs, Brett, He, Chen, Krishnan, Ankur, Bhandari, Parash Mani, Neupane, Dipika, Negeri, Zelalem, Imran, Mahrukh, Rice, Danielle B., Azar, Marleine, Chiovitti, Matthew J., Gilbody, Simon A., Kloda, Lorie B., Patten, Scott D., Mitchell, Nicholas, Alvarado, Ruben, Barnes, Jacqueline, Beck, Cheryl Tatano, Bindt, Carola, Correa, Humberto, Castro e Couto, Tiago, Chorwe-Sungani, Genesis, Eapen, Valsamma, Favez, Nicolas, Felice, Ethel, Fellmeth, Gracia, Fernandes, Michelle, Field, Sally, Figueiredo, Barbara, Fisher, Jane R. W., Green, Eric P., Honikman, Simone, Howard, Louise M., Kettunen, Pirjo A., Kohlhoff, Jane, Kozinszky, Zoltan, Leonardou, Angeliki A., Maes, Michael, Martinez, Pablo, Rados, Sandra Nakic, Nishi, Daisuke, Pawlby, Susan J., Rochat, Tamsen J., Rowe, Heather J., Sharp, Deborah J., Skalkidou, Alkistis, Smith-Nielsen, Johanne, Stein, Alan, Su, Kuan-Pin, Sundström Poromaa, Inger, Tadinac, Meri, Tandon, S. Darius, Tendais, Iva, Toereki, Annamaria D., Tran, Thach, Trevillion, Kylee, Turner, Katherine S., Vaever, Mette, van Heyningen, Thandi M., Vega-Dienstmaier, Johann, Wynter, Karen A., Yonkers, Kimberly, Qiu, Xia, Wu, Yin, Sun, Ying, Levis, Brooke, Tian, Jizhou, Boruff, Jill T., Cuijpers, Pim, Ioannidis, John P. A., Markham, Sarah, Ziegelstein, Roy C., Vigod, Simone N., Benedetti, Andrea, Thombs, Brett, He, Chen, Krishnan, Ankur, Bhandari, Parash Mani, Neupane, Dipika, Negeri, Zelalem, Imran, Mahrukh, Rice, Danielle B., Azar, Marleine, Chiovitti, Matthew J., Gilbody, Simon A., Kloda, Lorie B., Patten, Scott D., Mitchell, Nicholas, Alvarado, Ruben, Barnes, Jacqueline, Beck, Cheryl Tatano, Bindt, Carola, Correa, Humberto, Castro e Couto, Tiago, Chorwe-Sungani, Genesis, Eapen, Valsamma, Favez, Nicolas, Felice, Ethel, Fellmeth, Gracia, Fernandes, Michelle, Field, Sally, Figueiredo, Barbara, Fisher, Jane R. W., Green, Eric P., Honikman, Simone, Howard, Louise M., Kettunen, Pirjo A., Kohlhoff, Jane, Kozinszky, Zoltan, Leonardou, Angeliki A., Maes, Michael, Martinez, Pablo, Rados, Sandra Nakic, Nishi, Daisuke, Pawlby, Susan J., Rochat, Tamsen J., Rowe, Heather J., Sharp, Deborah J., Skalkidou, Alkistis, Smith-Nielsen, Johanne, Stein, Alan, Su, Kuan-Pin, Sundström Poromaa, Inger, Tadinac, Meri, Tandon, S. Darius, Tendais, Iva, Toereki, Annamaria D., Tran, Thach, Trevillion, Kylee, Turner, Katherine S., Vaever, Mette, van Heyningen, Thandi M., Vega-Dienstmaier, Johann, Wynter, Karen A., and Yonkers, Kimberly

Abstract

Item 10 of the Edinburgh Postnatal Depression Scale (EPDS) is intended to assess thoughts of intentional self-harm but may also elicit concerns about accidental self-harm. It does not specifically address suicide ideation but, nonetheless, is sometimes used as an indicator of suicidality. The 9-item version of the EPDS (EPDS-9), which omits item 10, is sometimes used in research due to concern about positive endorsements of item 10 and necessary follow-up. We assessed the equivalence of total score correlations and screening accuracy to detect major depression using the EPDS-9 versus full EPDS among pregnant and postpartum women. We searched Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science from database inception to October 3, 2018 for studies that administered the EPDS and conducted diagnostic classification for major depression based on a validated semi-structured or fully structured interview among women aged 18 or older during pregnancy or within 12 months of giving birth. We conducted an individual participant data meta-analysis. We calculated Pearson correlations with 95% prediction interval (PI) between EPDS-9 and full EPDS total scores using a random effects model. Bivariate random-effects models were fitted to assess screening accuracy. Equivalence tests were done by comparing the confidence intervals (CIs) around the pooled sensitivity and specificity differences to the equivalence margin of delta = 0.05. Individual participant data were obtained from 41 eligible studies (10,906 participants, 1407 major depression cases). The correlation between EPDS-9 and full EPDS scores was 0.998 (95% PI 0.991, 0.999). For sensitivity, the EPDS-9 and full EPDS were equivalent for cut-offs 7-12 (difference range - 0.02, 0.01) and the equivalence was indeterminate for cut-offs 13-15 (all differences - 0.04). For specificity, the EPDS-9 and full EPDS were equivalent for all cut-offs (difference range 0.00, 0.01). The EPDS-9 performs

Published
2023
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41. A qualitative interview study exploring the psychological health impacts of the SPIN-CHAT program among people with systemic sclerosis at the onset of COVID-19: perceptions of trial participants and research team members

Author

Wurz, Amanda, primary, Duchek, Delaney, additional, Ellis, Kelsey, additional, Bansal, Mannat, additional, Carrier, Marie-Eve, additional, Tao, Lydia, additional, Dyas, Laura, additional, Kwakkenbos, Linda, additional, Levis, Brooke, additional, El-Baalbaki, Ghassan, additional, Rice, Danielle B., additional, Wu, Yin, additional, Henry, Richard S., additional, Bustamante, Laura, additional, Harb, Sami, additional, Hebblethwaite, Shannon, additional, Patten, Scott B., additional, Bartlett, Susan J., additional, Varga, John, additional, Mouthon, Luc, additional, Markham, Sarah, additional, Thombs, Brett D., additional, Culos-Reed, S. Nicole, additional, Fortuné, Catherine, additional, Gietzen, Amy, additional, Guillot, Geneviève, additional, Nielsen, Karen, additional, Lewis, Nancy, additional, Richard, Michelle, additional, Sauvé, Maureen, additional, Welling, Joep, additional, Battaglio, Lacey, additional, Burger, Tina, additional, Burleigh, Adrienne, additional, Collins, Peggy, additional, Davila, Jacob, additional, Inglese, Louise, additional, Kaplan, Franny, additional, Konrad, Violet, additional, Petrella, Silvia, additional, Potvin, Audrey, additional, Puccio, Natalie, additional, Gottesman, Karen, additional, Hudson, Marie, additional, Hummers, Laura K., additional, Lawrie-Jones, Amanda, additional, Malcarne, Vanessa L., additional, Mayes, Maureen D., additional, Nielson, Warren R., additional, Assassi, Shervin, additional, Ells, Carolyn, additional, Fligelstone, Kim, additional, Frech, Tracy, additional, Harel, Daphna, additional, Hinchcliff, Monique, additional, Johnson, Sindhu R., additional, Larche, Maggie, additional, Leite, Catarina, additional, Nguyen, Christelle, additional, Pope, Janet, additional, Rannou, François, additional, Rodriguez-Reyna, Tatiana Sofia, additional, Schouffoer, Anne A., additional, Suarez-Almazor, Maria E., additional, Agard, Christian, additional, Ait Abdallah, Nassim, additional, André, Marc, additional, Bernstein, Elana J., additional, Berthier, Sabine, additional, Bissonnette, Lyne, additional, Bruns, Alessandra, additional, Carreira, Patricia, additional, Casadevall, Marion, additional, Chaigne, Benjamin, additional, Chung, Lorinda, additional, Crichi, Benjamin, additional, Denton, Christopher, additional, Domsic, Robyn, additional, Dunne, James V., additional, Dunogue, Bertrand, additional, Fare, Regina, additional, Farge-Bancel, Dominique, additional, Fortin, Paul R., additional, Gordon, Jessica, additional, Granel-Rey, Brigitte, additional, Guffroy, Aurélien, additional, Gyger, Genevieve, additional, Hachulla, Eric, additional, Herrick, Ariane L., additional, Hoa, Sabrina, additional, Ikic, Alena, additional, Jones, Niall, additional, Khalidi, Nader, additional, Lambert, Marc, additional, Launay, David, additional, Lee, Yvonne C., additional, Maillard, Hélène, additional, Maltez, Nancy, additional, Manning, Joanne, additional, Marie, Isabelle, additional, Lopez, Maria Martin, additional, Martin, Thierry, additional, Masetto, Ariel, additional, Maurier, François, additional, Mekinian, Arsene, additional, Díaz, Sheila Melchor, additional, Nikpour, Mandana, additional, Olagne, Louis, additional, Poindron, Vincent, additional, Proudman, Susanna, additional, Régent, Alexis, additional, Rivière, Sébastien, additional, Robinson, David, additional, Rodríguez Almazar, Esther, additional, Roux, Sophie, additional, Smets, Perrine, additional, Sobanski, Vincent, additional, Spiera, Robert, additional, Steen, Virginia, additional, Sutton, Evelyn, additional, Thorne, Carter, additional, Wilcox, Pearce, additional, Ayala, Mara Cañedo, additional, Discepola, Marie-Nicole, additional, Montemurro, Laury, additional, Nassar, Elsa Lynn, additional, Neyer, Marieke Alexandra, additional, Nordlund, Julia, additional, Østbø, Nora, additional, and Provencher, Sabrina, additional

Published
2023
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46. External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4

Author

Harel, Daphna, primary, Levis, Brooke, additional, Sun, Ying, additional, Fischer, Felix, additional, Ioannidis, John P.A., additional, Cuijpers, Pim, additional, Patten, Scott B., additional, Ziegelstein, Roy C., additional, Markham, Sarah, additional, Benedetti, Andrea, additional, Thombs, Brett D., additional, He, Chen, additional, Wu, Yin, additional, Krishnan, Ankur, additional, Mani Bhandari, Parash, additional, Neupane, Dipika, additional, Negeri, Zelalem, additional, Imran, Mahrukh, additional, Rice, Danielle B., additional, Riehm, Kira E., additional, Azar, Marleine, additional, Levis, Alexander W., additional, Boruff, Jill, additional, Gilbody, Simon, additional, Kloda, Lorie A., additional, Amtmann, Dagmar, additional, Ayalon, Liat, additional, Baradaran, Hamid R., additional, Beraldi, Anna, additional, Bernstein, Charles N., additional, Bhana, Arvin, additional, Imma Buji, Ryna, additional, Chagas, Marcos H., additional, C. N. Chan, Juliana, additional, Fong Chan, Lai, additional, Chibanda, Dixon, additional, Conway, Aaron, additional, Daray, Federico M., additional, de Man-van Ginkel, Janneke M., additional, Diez-Quevedo, Crisanto, additional, Field, Sally, additional, R. W. Fisher, Jane, additional, Fung, Daniel, additional, Garman, Emily C., additional, Flisher, Alan J, additional, Gelaye, Bizu, additional, Gholizadeh, Leila, additional, Gibson, Lorna J., additional, Green, Eric P., additional, Hall, Brian J., additional, Hantsoo, Liisa, additional, Haroz, Emily E., additional, Härter, Martin, additional, Hegerl, Ulrich, additional, Hides, Leanne, additional, Hobfoll, Stevan E., additional, Honikman, Simone, additional, Hudson, Marie, additional, Hyphantis, Thomas, additional, Inagaki, Masatoshi, additional, Jin Jeon, Hong, additional, Jetté, Nathalie, additional, Khamseh, Mohammad E., additional, Köhler, Sebastian, additional, Kohrt, Brandon A., additional, Kwan, Yunxin, additional, Lamers, Femke, additional, Asunción Lara, Maria, additional, Levin-Aspenson, Holly F., additional, Liu, Shen-Ing, additional, Lotrakul, Manote, additional, Loureiro, Sonia R., additional, Löwe, Bernd, additional, Luitel, Nagendra P., additional, Lund, Crick, additional, Ann Marrie, Ruth, additional, Marx, Brian P., additional, Mohd Sidik, Sherina, additional, Munhoz, Tiago N., additional, Muramatsu, Kumiko, additional, E. M. Nakku, Juliet, additional, Navarrete, Laura, additional, Osório, Flávia L., additional, Persoons, Philippe, additional, Picardi, Angelo, additional, Pugh, Stephanie L., additional, Quinn, Terence J., additional, Rancans, Elmars, additional, Rathod, Sujit D., additional, Reuter, Katrin, additional, Rowe, Heather J., additional, Santos, Iná S., additional, Schram, Miranda T., additional, Shaaban, Juwita, additional, Shinn, Eileen H., additional, Spangenberg, Lena, additional, Stafford, Lesley, additional, Sung, Sharon C., additional, Suzuki, Keiko, additional, Lin Lynnette Tan, Pei, additional, Taylor-Rowan, Martin, additional, Tran, Thach D., additional, van der Feltz-Cornelis, Christina M., additional, van Heyningen, Thandi, additional, van Weert, Henk C., additional, Wagner, Lynne I., additional, Li Wang, Jian, additional, Watson, David, additional, Wynter, Karen, additional, Yamada, Mitsuhiko, additional, Zhi Zeng, Qing, additional, and Zhang, Yuying, additional

Published
2022
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48. Exploring research team members' and trial participants' perceptions of acceptability and implementation within one videoconference-based supportive care program for individuals affected by systemic sclerosis during COVID-19: a qualitative interview study

Author

Wurz, Amanda, Ellis, Kelsey, Duchek, Delaney, Bansal, Mannat, Carrier, Marie-Eve, Tao, Lydia, Dyas, Laura, Kwakkenbos, Linda, Levis, Brooke, El-Baalbaki, Ghassan, Rice, Danielle B, Wu, Yin, Henry, Richard S, Bustamante, Laura, Harb, Sami, Hebblethwaite, Shannon, Patten, Scott B, Bartlett, Susan J, Varga, John, and Mouthon, Luc

Abstract

The SPIN-CHAT Program was designed to support mental health among individuals with systemic sclerosis (SSc; commonly known as scleroderma) and at least mild anxiety symptoms at the onset of COVID-19. The program was formally evaluated in the SPIN-CHAT Trial. Little is known about program and trial acceptability, and factors impacting implementation from the perspectives of research team members and trial participants. Thus, the propose of this follow-up study was to explore research team members' and trial participants' experiences with the program and trial to identify factors impacting acceptability and successful implementation. Data were collected cross-sectionally through one-on-one, videoconference-based, semi-structured interviews with 22 research team members and 30 purposefully recruited trial participants (M age = 54.9, SD = 13.0 years). A social constructivist paradigm was adopted, and data were analyzed thematically. Data were organized into seven themes: (i) getting started: the importance of prolonged engagement and exceeding expectations; (ii) designing the program and trial: including multiple features; (iii) training: research team members are critical to positive program and trial experiences; (iv) offering the program and trial: it needs to be flexible and patient-oriented; (v) maximizing engagement: navigating and managing group dynamics; (vi) delivering a videoconference-based supportive care intervention: necessary, appreciated, and associated with some barriers; and (vii) refining the program and trial: considering modification when offered beyond the period of COVID-19 restrictions. Trial participants were satisfied with and found the SPIN-CHAT Program and Trial to be acceptable. Results offer implementation data that can guide the design, development, and refinement of other supportive care programs seeking to promote psychological health during and beyond COVID-19. [ABSTRACT FROM AUTHOR]

Published
2023
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49. A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well.

Author

López Malo Vázquez de Lara, Aurelio, Bhandari, Parash Mani, Wu, Yin, Levis, Brooke, Thombs, Brett, Benedetti, Andrea, Sun, Ying, He, Chen, Krishnan, Ankur, Neupane, Dipika, Negeri, Zelalem, Imran, Mahrukh, Rice, Danielle B., Riehm, Kira E., Saadat, Nazanin, Azar, Marleine, Boruff, Jill, Cuijpers, Pim, Gilbody, Simon, and Ioannidis, John P. A.

Subjects
RANDOM effects model, HETEROGENEITY, MEDICAL screening, MENTAL depression, FORECASTING, SENSITIVITY & specificity (Statistics)
Abstract

The diagnostic accuracy of a screening tool is often characterized by its sensitivity and specificity. An analysis of these measures must consider their intrinsic correlation. In the context of an individual participant data meta-analysis, heterogeneity is one of the main components of the analysis. When using a random-effects meta-analytic model, prediction regions provide deeper insight into the effect of heterogeneity on the variability of estimated accuracy measures across the entire studied population, not just the average. This study aimed to investigate heterogeneity via prediction regions in an individual participant data meta-analysis of the sensitivity and specificity of the Patient Health Questionnaire-9 for screening to detect major depression. From the total number of studies in the pool, four dates were selected containing roughly 25%, 50%, 75% and 100% of the total number of participants. A bivariate random-effects model was fitted to studies up to and including each of these dates to jointly estimate sensitivity and specificity. Two-dimensional prediction regions were plotted in ROC-space. Subgroup analyses were carried out on sex and age, regardless of the date of the study. The dataset comprised 17,436 participants from 58 primary studies of which 2322 (13.3%) presented cases of major depression. Point estimates of sensitivity and specificity did not differ importantly as more studies were added to the model. However, correlation of the measures increased. As expected, standard errors of the logit pooled TPR and FPR consistently decreased as more studies were used, while standard deviations of the random-effects did not decrease monotonically. Subgroup analysis by sex did not reveal important contributions for observed heterogeneity; however, the shape of the prediction regions differed. Subgroup analysis by age did not reveal meaningful contributions to the heterogeneity and the prediction regions were similar in shape. Prediction intervals and regions reveal previously unseen trends in a dataset. In the context of a meta-analysis of diagnostic test accuracy, prediction regions can display the range of accuracy measures in different populations and settings. [ABSTRACT FROM AUTHOR]

Published
2023
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50. A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well.

Author

de Lara, Aurelio López Malo Vázquez, Bhandari, Parash Mani, Wu, Yin, Levis, Brooke, Thombs, Brett, Benedetti, Andrea, DEPRESsion Screening Data (DEPRESSD) PHQ-9 Collaboration, Sun, Ying, He, Chen, Krishnan, Ankur, Neupane, Dipika, Negeri, Zelalem, Imran, Mahrukh, Rice, Danielle B., Riehm, Kira E., Saadat, Nazanin, Azar, Marleine, Boruff, Jill, Cuijpers, Pim, and Gilbody, Simon

Subjects
HETEROGENEITY, MEDICAL screening, MENTAL depression, FORECASTING, SENSITIVITY & specificity (Statistics), RANDOM effects model, BIVARIATE analysis
Abstract

The diagnostic accuracy of a screening tool is often characterized by its sensitivity and specificity. An analysis of these measures must consider their intrinsic correlation. In the context of an individual participant data meta-analysis, heterogeneity is one of the main components of the analysis. When using a random-effects meta-analytic model, prediction regions provide deeper insight into the effect of heterogeneity on the variability of estimated accuracy measures across the entire studied population, not just the average. This study aimed to investigate heterogeneity via prediction regions in an individual participant data meta-analysis of the sensitivity and specificity of the Patient Health Questionnaire-9 for screening to detect major depression. From the total number of studies in the pool, four dates were selected containing roughly 25%, 50%, 75% and 100% of the total number of participants. A bivariate random-effects model was fitted to studies up to and including each of these dates to jointly estimate sensitivity and specificity. Two-dimensional prediction regions were plotted in ROC-space. Subgroup analyses were carried out on sex and age, regardless of the date of the study. The dataset comprised 17,436 participants from 58 primary studies of which 2322 (13.3%) presented cases of major depression. Point estimates of sensitivity and specificity did not differ importantly as more studies were added to the model. However, correlation of the measures increased. As expected, standard errors of the logit pooled TPR and FPR consistently decreased as more studies were used, while standard deviations of the random-effects did not decrease monotonically. Subgroup analysis by sex did not reveal important contributions for observed heterogeneity; however, the shape of the prediction regions differed. Subgroup analysis by age did not reveal meaningful contributions to the heterogeneity and the prediction regions were similar in shape. Prediction intervals and regions reveal previously unseen trends in a dataset. In the context of a meta-analysis of diagnostic test accuracy, prediction regions can display the range of accuracy measures in different populations and settings. [ABSTRACT FROM AUTHOR]

Published
2023
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