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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. 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

6. 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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8. Challenging script concordance test reference standard by evidence: do judgments by emergency medicine consultants agree with likelihood ratios?

Author

Ahmadi, Seyed-Foad, Khoshkish, Shahin, Soltani-Arabshahi, Kamran, Hafezi-Moghadam, Peyman, Zahmatkesh, Golara, Heidari, Parisa, Baba-Beigloo, Davood, Baradaran, Hamid R, and Lotfipour, Shahram

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Clinical judgment, Script concordance test, Likelihood ratio, Visual analog scales, Evidence-based medicine, Diagnosis, Decision-making, Other Medical and Health Sciences, Clinical sciences
Abstract

BackgroundWe aimed to compare the clinical judgments of a reference panel of emergency medicine academic physicians against evidence-based likelihood ratios (LRs) regarding the diagnostic value of selected clinical and paraclinical findings in the context of a script concordance test (SCT).FindingsA SCT with six scenarios and five questions per scenario was developed. Subsequently, 15 emergency medicine attending physicians (reference panel) took the test and their judgments regarding the diagnostic value of those findings for given diseases were recorded. The LRs of the same findings for the same diseases were extracted from a series of published systematic reviews. Then, the reference panel judgments were compared to evidence-based LRs. To investigate the test-retest reliability, five participants took the test one month later, and the correlation of their first and second judgments were quantified using Spearman rank-order coefficient. In 22 out of 30 (73.3%) findings, the expert judgments were significantly different from the LRs. The differences included overestimation (30%), underestimation (30%), and judging the diagnostic value in an opposite direction (13.3%). Moreover, the score of a hypothetical test-taker was calculated to be 21.73 out of 30 if his/her answers were based on evidence-based LRs. The test showed an acceptable test-retest reliability coefficient (Spearman coefficient: 0.83).ConclusionsAlthough SCT is an interesting test to evaluate clinical decision-making in emergency medicine, our results raise concerns regarding whether the judgments of an expert panel are sufficiently valid as the reference standard for this test.

Published
2014

17. 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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18. Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis

Author

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

Subjects
Adult, Male, medicine.medical_specialty, MEDLINE, PsycINFO, Patient Health Questionnaire, Sex Factors, Medicine, Humans, Mini-international neuropsychiatric interview, Psychiatric Status Rating Scales, Depressive Disorder, Major, business.industry, Research, Age Factors, General Medicine, Middle Aged, Reference Standards, Random effects model, Confidence interval, ROC Curve, Meta-analysis, Family medicine, Structured interview, Female, business
Abstract

ObjectiveTo update a previous individual participant data meta-analysis and determine the accuracy of the Patient Health Questionnaire-9 (PHQ-9), the most commonly used depression screening tool in general practice, for detecting major depression overall and by study or participant subgroups.DesignSystematic review and individual participant data meta-analysis.Data sourcesMedline, Medline In-Process, and Other Non-Indexed Citations via Ovid, PsycINFO, Web of Science searched through 9 May 2018.Review methodsEligible studies administered the PHQ-9 and classified current major depression status using a validated semistructured diagnostic interview (designed for clinician administration), fully structured interview (designed for lay administration), or the Mini International Neuropsychiatric Interview (MINI; a brief interview designed for lay administration). A bivariate random effects meta-analytic model was used to obtain point and interval estimates of pooled PHQ-9 sensitivity and specificity at cut-off values 5-15, separately, among studies that used semistructured diagnostic interviews (eg, Structured Clinical Interview for Diagnostic and Statistical Manual), fully structured interviews (eg, Composite International Diagnostic Interview), and the MINI. Meta-regression was used to investigate whether PHQ-9 accuracy correlated with reference standard categories and participant characteristics.ResultsData from 44 503 total participants (27 146 additional from the update) were obtained from 100 of 127 eligible studies (42 additional studies; 79% eligible studies; 86% eligible participants). Among studies with a semistructured interview reference standard, pooled PHQ-9 sensitivity and specificity (95% confidence interval) at the standard cut-off value of ≥10, which maximised combined sensitivity and specificity, were 0.85 (0.79 to 0.89) and 0.85 (0.82 to 0.87), respectively. Specificity was similar across reference standards, but sensitivity in studies with semistructured interviews was 7-24% (median 21%) higher than with fully structured reference standards and 2-14% (median 11%) higher than with the MINI across cut-off values. Across reference standards and cut-off values, specificity was 0-10% (median 3%) higher for men and 0-12 (median 5%) higher for people aged 60 or older.ConclusionsResearchers and clinicians could use results to determine outcomes, such as total number of positive screens and false positive screens, at different PHQ-9 cut-off values for different clinical settings using the knowledge translation tool atwww.depressionscreening100.com/phq.Study registrationPROSPERO CRD42014010673.

Published
2021

23. Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis

Author

McGrath Sean, Zhao XiaoFei, Steele Russell, Thombs Brett D., Benedetti Andrea, Levis Brooke, Riehm Kira E., Saadat Nazanin, Levis Alexander W., Azar Marleine, Rice Danielle B., Sun Ying, Krishnan Ankur, He Chen, Wu Yin, Bhandari Parash Mani, Neupane Dipika, 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 H., Chan Juliana C. N., Cholera Rushina, Chowdhary Neerja, Clover Kerrie, Conwell Yeates, Ginkel Janneke M. de Man-van, Delgadillo Jaime, Fann Jesse R., Fischer Felix H., Fischler Benjamin, Fung Daniel, Gelaye Bizu, Goodyear-Smith Felicity, Greeno Catherine G., Hall Brian J., Harrison Patricia A., Harter Martin, Hegerl Ulrich, Hides Leanne, Hobfoll Stevan E., Hudson Marie, Hyphantis Thomas, INAGAKI, Masatoshi, Ismail Khalida, Jette Nathalie, Khamseh Mohammad E., Kiely Kim M., Kwan Yunxin, Lamers Femke, Liu Shen-Ing, Lotrakul Manote, Loureiro Sonia R., Loewe Bernd, Marsh Laura, McGuire Anthony, Sidik Sherina Mohd, Munhoz Tiago N., Muramatsu Kumiko, Osorio Flavia L., Patel Vikram, Pence Brian W., Persoons Philippe, Picardi Angelo, Reuter Katrin, Rooney Alasdair G., Santos Ina S., Shaaban Juwita, Sidebottom Abbey, Simning Adam, Stafford Lesley, Sung Sharon C., Tan Pei Lin Lynnette, Turner Alyna, van der Feltz-Cornelis Christina M., van Weert Henk C., Vohringer Paul A., White Jennifer, Whooley Mary A., Winkley Kirsty, Yamada Mitsuhiko, Zhang Yuying, General practice, ACS - Heart failure & arrhythmias, APH - Personalized Medicine, APH - Quality of Care, Psychiatry, APH - Mental Health, and APH - Digital Health

Subjects
Statistics and Probability, FOS: Computer and information sciences, Epidemiology, Summary data, median, Meta-analysis, first quartile, third quartile, minimum value, maximum value, Standard deviation, Article, Methodology (stat.ME), 03 medical and health sciences, 0302 clinical medicine, Outcome variable, Health Information Management, Statistics, 030212 general & internal medicine, Statistics - Methodology, Mathematics, Sample mean and sample covariance, Outcome (probability), Quartile, 030217 neurology & neurosurgery, Quantile
Abstract

Researchers increasingly use meta-analysis to synthesize the results of several studies in order to estimate a common effect. When the outcome variable is continuous, standard meta-analytic approaches assume that the primary studies report the sample mean and standard deviation of the outcome. However, when the outcome is skewed, authors sometimes summarize the data by reporting the sample median and one or both of (i) the minimum and maximum values and (ii) the first and third quartiles, but do not report the mean or standard deviation. To include these studies in meta-analysis, several methods have been developed to estimate the sample mean and standard deviation from the reported summary data. A major limitation of these widely used methods is that they assume that the outcome distribution is normal, which is unlikely to be tenable for studies reporting medians. We propose two novel approaches to estimate the sample mean and standard deviation when data are suspected to be non-normal. Our simulation results and empirical assessments show that the proposed methods often perform better than the existing methods when applied to non-normal data.

Published
2020

24. The Accuracy of the Patient Health Questionnaire-9 (PHQ-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 L, Chagas, Marcos H, 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, Thombs, Brett D, and Benedetti, Andrea

Published
2020

25. Erratum: Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: A systematic review and individual participant data meta-analysis (Journal of Physical Chemistry (2019) DOI: 10.1017/S0033291719001314)

Author

Wu, Yin, Levis, Brooke, Riehm, Kira E., Saadat, Nazanin, Levis, Alexander W., Azar, Marleine, Rice, Danielle B., 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, Bombardier, Charles H., Butterworth, Peter, Carter, Gregory, Chagas, Marcos H., Chan, Juliana C. N., Cholera, Rushina, Conwell, Yeates, de Manvan 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, Inagaki, Masatoshi, Jetté, Nathalie, Khamseh, Mohammad E., Kiely, Kim M., Kwan, Yunxin, Lamers, Femke, Liu, Shen-Ing, Lotrakul, Manote, Loureiro, Sonia R., Löwe, Bernd, 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., Santos, Iná S., Shaaban, Juwita, Sidebottom, Abbey, Simning, Adam, Stafford, Lesley, Sung, Sharon, Tan, Pei Lin Lynnette, Turner, Alyna, van Weert, Henk C., White, Jennifer, Whooley, Mary A., Winkley, Kirsty, Yamada, Mitsuhiko, Benedetti, Andrea, and Thombs, Brett D.

Abstract

This article was published in Psychological Medicine with incorrect author information. MD Inagaki should be Masatoshi Inagaki and MD Stafford should be Lesley Stafford. This has since been updated as per the above.

Published
2020

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

Author

Verplegingswetenschap, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Brain, 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, Benedetti, Andrea, Verplegingswetenschap, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Brain, 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

27. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis

Author

Verplegingswetenschap, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Wu, Yin, Levis, Brooke, Riehm, Kira E, Saadat, Nazanin, Levis, Alexander W, Azar, Marleine, Rice, Danielle B, 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, Bombardier, Charles H, Butterworth, Peter, Carter, Gregory, Chagas, Marcos H, Chan, Juliana C N, Cholera, Rushina, 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, Inagaki, M D, Jetté, Nathalie, Khamseh, Mohammad E, Kiely, Kim M, Kwan, Yunxin, Lamers, Femke, Liu, Shen-Ing, Lotrakul, Manote, Loureiro, Sonia R, Löwe, Bernd, 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, Santos, Iná S, Shaaban, Juwita, Sidebottom, Abbey, Simning, Adam, Stafford, M D, Sung, Sharon, Tan, Pei Lin Lynnette, Turner, Alyna, van Weert, Henk C, White, Jennifer, Whooley, Mary A, Winkley, Kirsty, Yamada, Mitsuhiko, Benedetti, Andrea, Thombs, Brett D, Verplegingswetenschap, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Wu, Yin, Levis, Brooke, Riehm, Kira E, Saadat, Nazanin, Levis, Alexander W, Azar, Marleine, Rice, Danielle B, 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, Bombardier, Charles H, Butterworth, Peter, Carter, Gregory, Chagas, Marcos H, Chan, Juliana C N, Cholera, Rushina, 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, Inagaki, M D, Jetté, Nathalie, Khamseh, Mohammad E, Kiely, Kim M, Kwan, Yunxin, Lamers, Femke, Liu, Shen-Ing, Lotrakul, Manote, Loureiro, Sonia R, Löwe, Bernd, 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, Santos, Iná S, Shaaban, Juwita, Sidebottom, Abbey, Simning, Adam, Stafford, M D, Sung, Sharon, Tan, Pei Lin Lynnette, Turner, Alyna, van Weert, Henk C, White, Jennifer, Whooley, Mary A, Winkley, Kirsty, Yamada, Mitsuhiko, Benedetti, Andrea, and Thombs, Brett D

Published
2020

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

Author

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

Published
2019
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30. Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression : individual participant data meta-analysis

Author

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

Abstract

OBJECTIVE: To determine the accuracy of the Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression. DESIGN: Individual participant data meta-analysis. DATA SOURCES: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science (January 2000-February 2015). INCLUSION CRITERIA: Eligible studies compared PHQ-9 scores with major depression diagnoses from validated diagnostic interviews. Primary study data and study level data extracted from primary reports were synthesized. For PHQ-9 cut-off scores 5-15, bivariate random effects meta-analysis was used to estimate pooled sensitivity and specificity, separately, among studies that used semistructured diagnostic interviews, which are designed for administration by clinicians; fully structured interviews, which are designed for lay administration; and the Mini International Neuropsychiatric (MINI) diagnostic interviews, a brief fully structured interview. Sensitivity and specificity were examined among participant subgroups and, separately, using meta-regression, considering all subgroup variables in a single model. RESULTS: Data were obtained for 58 of 72 eligible studies (total n=17 357; major depression cases n=2312). Combined sensitivity and specificity was maximized at a cut-off score of 10 or above among studies using a semistructured interview (29 studies, 6725 participants; sensitivity 0.88, 95% confidence interval 0.83 to 0.92; specificity 0.85, 0.82 to 0.88). Across cut-off scores 5-15, sensitivity with semistructured interviews was 5-22% higher than for fully structured interviews (MINI excluded; 14 studies, 7680 participants) and 2-15% higher than for the MINI (15 studies, 2952 participants). Specificity was similar across diagnostic interviews. The PHQ-9 seems to be similarly sensitive but may be less specific for younger patients than for older patients; a cut-off score of 10 or above can be used regardless of age.. CONCLUSIONS: PHQ-9 sensitivity compared with semistructured diagnostic interviews was greater than in previous conventional meta-analyses that combined reference standards. A cut-off score of 10 or above maximized combined sensitivity and specificity overall and for subgroups. REGISTRATION: PROSPERO CRD42014010673.

Published
2019

32. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis – ERRATUM

Author

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

Published
2019
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33. Comparison of the CES-D and PHQ-9 depression scales in people with type 2 diabetes in Tehran, Iran

Author

Yadollahi Zahra, Mirghorbani Maryam, Javanbakht Anna, Baradaran Hamid R, Khamseh Mohammad E, and Malek Mojtaba

Subjects
Psychiatry, RC435-571
Abstract

Abstract Background The quality of life in patients with various chronic disorders, including diabetes has been directly affected by depression. Depression makes patients less likely to manage their self-care regimens. Accurate assessment of depression in diabetic populations is important to the treatment of depression in this group and may improve diabetes management. To our best knowledge, there are few studies that have looked for utilizing questionnaires in screening for depression among patients with diabetes in Iran. Therefore the aim of this study was to assess the efficacy and accuracy of the Center for Epidemiological Studies Depression (CES-D) scale and the Patient Health Questionnaire-9 (PHQ-9), in comparison with clinical interview in people with type 2 diabetes. Methods Outpatients who attended diabetes clinics at IEM were recruited on a consecutive basis between February 2009 and July 2009. Inclusion criteria included patients with type 2 diabetes who could fluently read and speak Persian, had no severe diabetes complications and no history of psychological disorders. The history of psychological disorders was ascertained through patients' medical files, taking history of any medications in this regard. The study design was explained to all patients and informed consent was obtained. Volunteer patients completed the Persian version of the questionnaires (CES-D and PHQ-9) and a psychiatrist interviewed them based on Structured Clinical Interview (SCID) for DSM-IV criteria. Results Of the 185 patients, 43.2% were diagnosed as having Major Depressive Disorder (MDD) based on the clinical interview, 47.6% with PHQ-9 and 61.62% with CES-D. The Area Under the Curve (AUC) for the total score of PHQ-9 was 0.829 ± 0.30. A cut-off score for PHQ-9 of ≥ 13 provided an optimal balance between sensitivity (73.80%) and specificity (76.20%). For CES-D the AUC for the total score was 0.861 ± 0.029. Optimal balance between sensitivity (78.80%) and specificity (77.1%) was provided at cut-off score of ≥ 23. Conclusions It could be concluded that the PHQ-9 and CES-D perform well as screening instruments, but in diagnosing major depressive disorder, a formal diagnostic process following the PHQ-9 and also the CES-D remains essential.

Published
2011
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34. The role of non-governmental organisations in the management of separated and unaccompanied children, following disasters in Iran

Author

Baradaran Hamid R and Bazeghi Farnaz

Subjects
Medicine, Biology (General), QH301-705.5, Science (General), Q1-390
Abstract

Abstract Background Following disasters, separated and unaccompanied children are among the most vulnerable, therefore international organisations have formed guidelines regarding the management of these children. Guidelines include recommendations for identifying and registering children, tracing family members, reunification and arrangements for interim and durable care. There is a lack of experiential evidence on how these principles are put into practice at operational levels, and whether existing policies were useful. There is a particular lack of empirical evidence from the disaster prone country of Iran. The aim of this study was to describe the role of Non- Governmental Organisations (NGOs) in the management of separated and unaccompanied children, following disasters in Iran in order to plan for and provision of future disasters. Findings The Iranian Red Crescent Organisation, Committee Emdad Imam Khomeini (a national organisation unique to Iran that is protected by the government and supported by public contributions) and Behzisti (the government welfare organisation in Iran) are the main figures involved in the management of separated and unaccompanied children, following disasters in Iran. NGOs are rarely responsible for caring for unaccompanied children, however they provide valuable support including financial assistance, arrangement of educational and extra-curricular activities and psychosocial support. Following the initial chaos after the Bam earthquake, international guidelines on separated and unaccompanied children were largely followed. Conclusions Systems for managing separated and unaccompanied children following disasters in Iran, involving NGOs, are emerging. However, most are yet to be formalised.

Published
2010
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35. Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews

Author

Levis, Brooke, Benedetti, Andrea, Riehm, Kira E., Saadat, Nazanin, Levis, Alexander W., Azar, Marleine, Rice, Danielle B., Chiovitti, Matthew J., Sanchez, Tatiana A., Cuijpers, Pim, Gilbody, Simon, Ioannidis, John P.A., Kloda, Lorie A., McMillan, Dean, Patten, Scott B., Shrier, Ian, Steele, Russell J., 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 H., Chan, Juliana C.N., Cholera, Rushina, Chowdhary, Neerja, Clover, Kerrie, Conwell, Yeates, de Man-van Ginkel, Janneke M., Delgadillo, Jaime, Fann, Jesse R., Fischer, Felix H., Fischler, Benjamin, Fung, Daniel, Gelaye, Bizu, Goodyear-Smith, Felicity, Greeno, Catherine G., Hall, Brian J., Hambridge, John, Harrison, Patricia A., Hegerl, Ulrich, Hides, Leanne, Hobfoll, Stevan E., Hudson, Marie, Hyphantis, Thomas, Inagaki, Masatoshi, Ismail, Khalida, Jetté, Nathalie, Khamseh, Mohammad E., Kiely, Kim M., 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, Rooney, Alasdair G., Santos, Iná S., Shaaban, Juwita, Sidebottom, Abbey, Simning, Adam, Stafford, Lesley, Sung, Sharon, Tan, Pei Lin Lynnette, Turner, Alyna, van der Feltz-Cornelis, Christina M., van Weert, Henk C., Vöhringer, Paul A., White, Jennifer, Whooley, Mary A., Winkley, Kirsty, Yamada, Mitsuhiko, Zhang, Yuying, Thombs, Brett D., Levis, Brooke, Benedetti, Andrea, Riehm, Kira E., Saadat, Nazanin, Levis, Alexander W., Azar, Marleine, Rice, Danielle B., Chiovitti, Matthew J., Sanchez, Tatiana A., Cuijpers, Pim, Gilbody, Simon, Ioannidis, John P.A., Kloda, Lorie A., McMillan, Dean, Patten, Scott B., Shrier, Ian, Steele, Russell J., 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 H., Chan, Juliana C.N., Cholera, Rushina, Chowdhary, Neerja, Clover, Kerrie, Conwell, Yeates, de Man-van Ginkel, Janneke M., Delgadillo, Jaime, Fann, Jesse R., Fischer, Felix H., Fischler, Benjamin, Fung, Daniel, Gelaye, Bizu, Goodyear-Smith, Felicity, Greeno, Catherine G., Hall, Brian J., Hambridge, John, Harrison, Patricia A., Hegerl, Ulrich, Hides, Leanne, Hobfoll, Stevan E., Hudson, Marie, Hyphantis, Thomas, Inagaki, Masatoshi, Ismail, Khalida, Jetté, Nathalie, Khamseh, Mohammad E., Kiely, Kim M., 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, Rooney, Alasdair G., Santos, Iná S., Shaaban, Juwita, Sidebottom, Abbey, Simning, Adam, Stafford, Lesley, Sung, Sharon, Tan, Pei Lin Lynnette, Turner, Alyna, van der Feltz-Cornelis, Christina M., van Weert, Henk C., Vöhringer, Paul A., White, Jennifer, Whooley, Mary A., Winkley, Kirsty, Yamada, Mitsuhiko, Zhang, Yuying, and Thombs, Brett D.

Abstract

BACKGROUND: Different diagnostic interviews are used as reference standards for major depression classification in research. Semi-structured interviews involve clinical judgement, whereas fully structured interviews are completely scripted. The Mini International Neuropsychiatric Interview (MINI), a brief fully structured interview, is also sometimes used. It is not known whether interview method is associated with probability of major depression classification.AimsTo evaluate the association between interview method and odds of major depression classification, controlling for depressive symptom scores and participant characteristics. METHOD: Data collected for an individual participant data meta-analysis of Patient Health Questionnaire-9 (PHQ-9) diagnostic accuracy were analysed and binomial generalised linear mixed models were fit. RESULTS: A total of 17 158 participants (2287 with major depression) from 57 primary studies were analysed. Among fully structured interviews, odds of major depression were higher for the MINI compared with the Composite International Diagnostic Interview (CIDI) (odds ratio (OR) = 2.10; 95% CI = 1.15-3.87). Compared with semi-structured interviews, fully structured interviews (MINI excluded) were non-significantly more likely to classify participants with low-level depressive symptoms (PHQ-9 scores ≤6) as having major depression (OR = 3.13; 95% CI = 0.98-10.00), similarly likely for moderate-level symptoms (PHQ-9 scores 7-15) (OR = 0.96; 95% CI = 0.56-1.66) and significantly less likely for high-level symptoms (PHQ-9 scores ≥16) (OR = 0.50; 95% CI = 0.26-0.97). CONCLUSIONS: The MINI may identify more people as depressed than the CIDI, and semi-structured and fully structured interviews may not be interchangeable methods, but these results should be replicated.Declaration of interestDrs Jetté and Patten declare that they received a grant, outside the submitted work, from the Hotchkiss Brain Institute, which was jointly funded by the I

Published
2018
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36. Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews

Author

Verplegingswetenschap, Brain, Levis, Brooke, Benedetti, Andrea, Riehm, Kira E., Saadat, Nazanin, Levis, Alexander W., Azar, Marleine, Rice, Danielle B., Chiovitti, Matthew J., Sanchez, Tatiana A., Cuijpers, Pim, Gilbody, Simon, Ioannidis, John P.A., Kloda, Lorie A., McMillan, Dean, Patten, Scott B., Shrier, Ian, Steele, Russell J., 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 H., Chan, Juliana C.N., Cholera, Rushina, Chowdhary, Neerja, Clover, Kerrie, Conwell, Yeates, de Man-van Ginkel, Janneke M., Delgadillo, Jaime, Fann, Jesse R., Fischer, Felix H., Fischler, Benjamin, Fung, Daniel, Gelaye, Bizu, Goodyear-Smith, Felicity, Greeno, Catherine G., Hall, Brian J., Hambridge, John, Harrison, Patricia A., Hegerl, Ulrich, Hides, Leanne, Hobfoll, Stevan E., Hudson, Marie, Hyphantis, Thomas, Verplegingswetenschap, Brain, Levis, Brooke, Benedetti, Andrea, Riehm, Kira E., Saadat, Nazanin, Levis, Alexander W., Azar, Marleine, Rice, Danielle B., Chiovitti, Matthew J., Sanchez, Tatiana A., Cuijpers, Pim, Gilbody, Simon, Ioannidis, John P.A., Kloda, Lorie A., McMillan, Dean, Patten, Scott B., Shrier, Ian, Steele, Russell J., 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 H., Chan, Juliana C.N., Cholera, Rushina, Chowdhary, Neerja, Clover, Kerrie, Conwell, Yeates, de Man-van Ginkel, Janneke M., Delgadillo, Jaime, Fann, Jesse R., Fischer, Felix H., Fischler, Benjamin, Fung, Daniel, Gelaye, Bizu, Goodyear-Smith, Felicity, Greeno, Catherine G., Hall, Brian J., Hambridge, John, Harrison, Patricia A., Hegerl, Ulrich, Hides, Leanne, Hobfoll, Stevan E., Hudson, Marie, and Hyphantis, Thomas

Published
2018

37. Scottish survey of diabetes services for minority ethnic groups

Author

Gardee Rafik, Jamieson Joan, Baradaran Hamid R, and Knill-Jones Robin P

Subjects
Public aspects of medicine, RA1-1270
Abstract

Abstract Background In the UK, all ethnic minority groups have higher rates of diabetes than the general population. Although there have been a number of projects to assess diabetic care amongst minority ethnic groups in the United Kingdom, little is known about the extent to which the needs of ethnic minority groups are actually met by the National Health Service (NHS) Scotland. Therefore we conducted this study to understand of the current situation for diabetes care available to minority ethnic groups in Scotland. Methods We conducted this cross-sectional study in all health boards in Scotland. A questionnaire was designed based on expert comments. It was completed by Local Health Care Cooperatives (LHCC) managers, chairs, diabetes specialist nurses and public health practitioners. Results 57 of questionnaires were returned (response rate = 69.5%). Of these LHCCs, 71% responded that diabetes was part of their LHCC plan. However 69% answered that ethnic group was not recorded by community services and GPs, and 80% of LHCCs did not monitor trends of complications of diabetes by ethnic group. Conclusion Improvement is needed in quality, completeness, and availability of minority ethnic group data for diabetes at a national level, particularly if NHS Primary Care Organisations are to be responsible for providing diabetes care as laid out in the Scottish Diabetes Framework.

Published
2006
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38. A controlled trial of the effectiveness of a diabetes education programme in a multi-ethnic community in Glasgow [ISRCT28317455]

Author

Knill-Jones Robin P, Baradaran Hamid R, Wallia Sunita, and Rodgers Alison

Subjects
Public aspects of medicine, RA1-1270
Abstract

Abstract Background Epidemiologic data have shown that the prevalence of Type 2 diabetes varies with ethnic origin. Type 2 diabetes is up to four times more common in British South Asians than in the indigenous white population. The aim of this study was to develop a culturally appropriate educational intervention programme for South Asians with Type 2 diabetes. We then investigated whether this intervention could produce an improvement, and finally whether any improvement was greater than background changes in knowledge in comparison groups. Methods A multi-site prospective, randomised controlled study was conducted in all day care centres and three general practice registers with high proportion patients from different ethnic minority groups in Glasgow, Scotland. The intervention consisted of 18 educational sessions in 6 separate programmes. A modified questionnaire was used to measure the knowledge, attitudes, and practice of diabetes before and after intervention. Results Baseline assessment showed that Indian and Pakistani subjects had less knowledge about diabetes, regarded the disease less seriously, and had a lesser understanding of the relationship between control and complications than the white population. No differences in initial responses were found between those who completed the second assessment and those who did not. The intervention group showed significant improvements in scores for Knowledge (+12.5%); Attitudes toward seriousness (+13.5%), complications (+8.1%), Practice (+20.0%). However there were also changes in the ethnic control group scores; respectively +5.0%, +16.3% (significant P < 0.001), +1.5%, +1.7%. The single white control group also showed some improvements; respectively +12.2%, +12.4% (P = 0.04), +6.0%, +25.0% (P = 0.007), but the differences in improvement between these two control groups were not significant. Overall, the improvement seen was similar in both intervention and ethnic control groups and there was no significant difference in the amount of change (P = 0.36 CI -0.9 to +2.6). Conclusion This study has shown that conducting a culturally-competent educational intervention in patients with Type 2 diabetes from ethnic minority groups is feasible and can improve their knowledge and attitudes and practice. However there was no net benefit compared with the control group.

Published
2006
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39. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis.

Author

Wu, Yin, Levis, Brooke, Riehm, Kira E., Saadat, Nazanin, Levis, Alexander W., Azar, Marleine, Rice, Danielle B., 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, and Baradaran, Hamid R.

Subjects
DIAGNOSIS of mental depression, CONFIDENCE intervals, PSYCHOLOGY information storage & retrieval systems, INTERVIEWING, RESEARCH methodology, MEDLINE, META-analysis, QUESTIONNAIRES, STATISTICS, SYSTEMATIC reviews, STATISTICAL models
Abstract

Background: Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9. Methods: We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy. Results: 16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (−0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01). Conclusions: PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar. [ABSTRACT FROM AUTHOR]

Published
2020
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41. Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews

Author

Levis, Brooke, primary, Benedetti, Andrea, additional, Riehm, Kira E., additional, Saadat, Nazanin, additional, Levis, Alexander W., additional, Azar, Marleine, additional, Rice, Danielle B., additional, Chiovitti, Matthew J., additional, Sanchez, Tatiana A., additional, Cuijpers, Pim, additional, Gilbody, Simon, additional, Ioannidis, John P. A., additional, Kloda, Lorie A., additional, McMillan, Dean, additional, Patten, Scott B., additional, Shrier, Ian, additional, Steele, Russell J., additional, Ziegelstein, Roy C., additional, Akena, Dickens H., additional, Arroll, Bruce, additional, Ayalon, Liat, additional, Baradaran, Hamid R., additional, Baron, Murray, additional, Beraldi, Anna, additional, Bombardier, Charles H., additional, Butterworth, Peter, additional, Carter, Gregory, additional, Chagas, Marcos H., additional, Chan, Juliana C. N., additional, Cholera, Rushina, additional, Chowdhary, Neerja, additional, Clover, Kerrie, additional, Conwell, Yeates, additional, de Man-van Ginkel, Janneke M., additional, Delgadillo, Jaime, additional, Fann, Jesse R., additional, Fischer, Felix H., additional, Fischler, Benjamin, additional, Fung, Daniel, additional, Gelaye, Bizu, additional, Goodyear-Smith, Felicity, additional, Greeno, Catherine G., additional, Hall, Brian J., additional, Hambridge, John, additional, Harrison, Patricia A., additional, Hegerl, Ulrich, additional, Hides, Leanne, additional, Hobfoll, Stevan E., additional, Hudson, Marie, additional, Hyphantis, Thomas, additional, Inagaki, Masatoshi, additional, Ismail, Khalida, additional, Jetté, Nathalie, additional, Khamseh, Mohammad E., additional, Kiely, Kim M., additional, Lamers, Femke, additional, Liu, Shen-Ing, additional, Lotrakul, Manote, additional, Loureiro, Sonia R., additional, Löwe, Bernd, additional, Marsh, Laura, additional, McGuire, Anthony, additional, Mohd Sidik, Sherina, additional, Munhoz, Tiago N., additional, Muramatsu, Kumiko, additional, Osório, Flávia L., additional, Patel, Vikram, additional, Pence, Brian W., additional, Persoons, Philippe, additional, Picardi, Angelo, additional, Rooney, Alasdair G., additional, Santos, Iná S., additional, Shaaban, Juwita, additional, Sidebottom, Abbey, additional, Simning, Adam, additional, Stafford, Lesley, additional, Sung, Sharon, additional, Tan, Pei Lin Lynnette, additional, Turner, Alyna, additional, van der Feltz-Cornelis, Christina M., additional, van Weert, Henk C., additional, Vöhringer, Paul A., additional, White, Jennifer, additional, Whooley, Mary A., additional, Winkley, Kirsty, additional, Yamada, Mitsuhiko, additional, Zhang, Yuying, additional, and Thombs, Brett D., additional

Published
2018
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47. Evaluating the effectiveness of peer-based intervention in managing type I diabetes mellitus among children and adolescents: A systematic review.

Author

Kazemi, Sepideh, Parvizy, Soroor, Atlasi, Rasha, and Baradaran, Hamid R.

Subjects
TYPE 1 diabetes, CHILDREN'S health
Abstract

Background: Type 1 diabetes is one of the chronic metabolic disorders among children and adolescents. Peers are also important units in diabetes management through adolescence. This study aimed to evaluate the effectiveness of peer-based intervention in managing type 1 diabetes mellitus among children and adolescents. Methods: Searching articles published prior to December 2013 in PubMed, Web of Science, Cochrane library, Science Direct, Google scholar, CINAHL and Scopus, we found 8,548 publications. The first reviewer critically appraised the retrieved articles, using the CONSORT and the TREND checklists and then the second-assessor checked them. All abstracts were screened, and only eight full text articles remained for evaluation based on inclusion criteria Results: Eight studies, including five randomized controlled trials, one controlled trial, and two pre-post trials were critically appraised based on CONSORT and the TREND checklists. The outcomes of these studies were as follows: knowledge (three studies), attitude (two studies), performance (one study), clinical parameters-- exclusively HbA1c--(four studies), and psychosocial parameters--such as quality of life, coping, self-care, selfconfidence, satisfaction with the perceived social support, social skills, and diabetes-related conflicts Conclusion: The findings of this systematic review revealed that peer-based interventions could help to manage diabetes. While there is a lack of professional or family-based interventions and education, peers can be involved in the process of patient education. As there are few studies in the area of peer-based diabetes management, conducting further interventional studies with robust methodology is highly recommended. [ABSTRACT FROM AUTHOR]

Published
2016

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