Search

Your search keyword '"Clover, Kerrie"' showing total 231 results
Start Over Author "Clover, Kerrie"
231 results on '"Clover, Kerrie"'

1. 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
Full Text
View/download PDF

3. Apples to apples? Comparison of the measurement properties of hospital anxiety and depression-anxiety subscale (HADS-A), depression, anxiety and stress scale-anxiety subscale (DASS-A), and generalised anxiety disorder (GAD-7) scale in an oncology setting using Rasch analysis and diagnostic accuracy statistics

Author

Clover, Kerrie, Lambert, Sylvie D., Oldmeadow, Christopher, Britton, Benjamin, King, Madeleine T., Mitchell, Alex J., and Carter, Gregory L.

Subjects
Cancer patients -- Psychological aspects, Anxiety -- Analysis -- Psychological aspects, Stress (Psychology) -- Analysis -- Psychological aspects, Psychology and mental health
Abstract

A range of anxiety measures is used in oncology but their comparability is unknown. We examined variations in measurement across three commonly used instruments: Hospital Anxiety and Depression-Anxiety subscale (HADS-A); Depression, Anxiety, Stress Scale - Anxiety subscale (DASS-A); and Generalised Anxiety Disorder scale (GAD-7). Participants (n = 164) completed the self-report measures and the Generalised Anxiety Disorder module of the Structured Clinical Interview for DSM-IV (SCID). We performed Rasch analysis and calculated diagnostic accuracy statistics. Instruments measured similar constructs of anxiety, but had different ranges of measurement, with the HADS-A including lower severity symptoms than the other two measures. Anxiety severity was similar for GAD-7 'mild' and HADS-A 'possible' categories, but 'mild' anxiety on the DASS-A represented more severe symptoms. Conversely, DASS-A 'severe' anxiety represented less intense symptoms than GAD-7 'severe' anxiety. Co-calibration indicated a score of eight on the HADS-A was equivalent in anxiety severity to scores of three on the DASS-A and six on the GAD-7. Area under the curve (AUC) was just acceptable for HADS-A and GAD-7 but not DASS-A. The HADS-A, DASS-A and GAD-7 displayed important differences in how they measured anxiety. In particular, categorical classifications of anxiety severity (mild/moderate/severe) were not equivalent across instruments. Thus, prevalence estimates of anxiety symptoms will vary as a consequence of the instrument used. The GAD-7 and HADS-A obtained more similar results and better AUC than the DASS-A. Our co-calibration could be used in future studies and meta-analyses of individual participant data to set cut-off points that provide more consistent classification of anxiety severity., Author(s): Kerrie Clover [sup.1] [sup.2] , Sylvie D. Lambert [sup.3] , Christopher Oldmeadow [sup.4] , Benjamin Britton [sup.2] , Madeleine T. King [sup.5] , Alex J. Mitchell [sup.6] , Gregory [...]

Published
2022
Full Text
View/download PDF

5. 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. 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
Full Text
View/download PDF

7. 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
Full Text
View/download PDF

8. 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
Full Text
View/download PDF

10. Situational anxiety in head and neck cancer: Rates, patterns and clinical management interventions in a regional cancer setting.

Author

Forbes, Erin, Clover, Kerrie, Oultram, Sharon, Wratten, Chris, Kumar, Mahesh, Tieu, Minh Thi, Carter, Gregory, McCarter, Kristen, Britton, Ben, and Baker, Amanda L.

Subjects
*HEAD & neck cancer, *STATE-Trait Anxiety Inventory, *PATIENT experience, *ANXIETY, *RELAXATION techniques, *PATIENTS' attitudes, *IMMOBILIZATION stress
Abstract

Introduction: Research indicates that the immobilisation mask required for radiation therapy (RT) for head and neck cancers can provoke intense anxiety. However, little is known about the rates of this anxiety, whether it changes over a course of treatment and how it is managed in clinical practice. This study aimed to describe the rates and patterns of situational anxiety in patients undergoing RT for head and neck cancer and the use of anxiety management interventions in current clinical practice in a major regional cancer setting in New South Wales, Australia. Methods: Situational anxiety rates and patterns were assessed at five time points using the State‐Trait Anxiety Inventory prior to treatment planning (SIM), the first three treatment sessions (Tx 1, Tx 2 and Tx 3) and treatment 20 (Tx 20). Sessions were observed to record the use of general supportive interventions (music and support person) and anxiety‐specific interventions (break from the mask, relaxation techniques and anxiolytic medication). Sociodemographic and clinical information was extracted from the medical record. Results: One hundred and one patients were recruited. One‐third had clinically significant anxiety at any of the first three time points (33.3–40%), and a quarter at Tx 3 (26.4%) and Tx 20 (23.4%). Of the sample, 55.4% had available data for categorisation into one of four pattern groups: 'No Anxiety' (46.4%); 'Decreasing Anxiety' (35.7%); 'Increasing Anxiety' (7.1%); and 'Stable High Anxiety' (10.7%). Most participants had social support present at SIM (53.5%) and listened to music during treatment (86.7–92.9%). Few participants received relaxation techniques alone (1.2–2.3%). Anxiolytic medication was provided for 10% of patients at some stage during the treatment journey and 5% required a break from the mask at SIM, with frequency decreasing throughout the treatment course. Conclusions: In this regional cancer setting, situational anxiety was common, but generally decreased throughout treatment. Some patients experience persistent or increasing anxiety, with up to 10% of patients receiving specific anxiety management interventions. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

12. A systematic review of nonpharmacological interventions to reduce procedural anxiety among patients undergoing radiation therapy for cancer

Author

Forbes, Erin, primary, Baker, Amanda L., additional, Britton, Ben, additional, Clover, Kerrie, additional, Skelton, Eliza, additional, Moore, Lyndell, additional, Handley, Tonelle, additional, Oultram, Sharon, additional, Oldmeadow, Christopher, additional, Gibberd, Alison, additional, and McCarter, Kristen, additional

Published
2023
Full Text
View/download PDF

14. 'Having the mask on didn't worry me until ... they clamped my head down so I wouldn't move': A qualitative study exploring anxiety in patients with head and neck cancer during radiation therapy.

Author

Forbes, Erin, Clover, Kerrie, Baker, Amanda L., Britton, Ben, Carlson, Melissa, and McCarter, Kristen

Subjects
*HEAD & neck cancer, *WORRY, *CANCER radiotherapy, *MEDICAL care, *MEDICAL personnel, *PATIENTS' attitudes
Abstract

Introduction: More than 20% of patients undergoing radiation therapy for head and neck cancer report anxiety specifically related to the immobilisation mask, a tight‐fighting mask patients are required to wear for the duration of each treatment session. However, limited research has investigated this from the patient perspective. The aim of this study was to better understand patient experiences of mask anxiety during head and neck cancer radiation therapy and to explore patient attitudes toward potential strategies that may reduce mask anxiety during this treatment. Methods: Five patients with head and neck cancer, who had self‐reported mask anxiety during radiation therapy, participated in semi‐structured, qualitative interviews exploring their experiences of anxiety and suggestions for reducing anxiety. A codebook thematic analysis was conducted. Results: Six main themes were identified: (1) triggers of anxiety; (2) adjusting to radiation therapy; (3) education about the mask; (4) coping; (5) motivation and (6) improving the patient experience. Conclusion: Findings from these interviews provide valuable insight into how and when healthcare providers may be able to assist patients to manage mask anxiety. Recommendations include increased communication from health care providers; delivery of visual information to improve patient preparedness; exposure/opportunities to interact with the masks prior to treatment commencing and increased control of music/soundtrack selection. However, a limitation of this study is the small sample size and further research is warranted. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

15. Biofeedback Enabled CALM (BeCALM)—the feasibility of biofeedback on procedural anxiety during radiation therapy: study protocol for a pilot randomised controlled trial

Author

Forbes, Erin, primary, Clover, Kerrie, additional, Baker, Amanda L, additional, McCarter, Kristen Louise, additional, Oultram, Sharon, additional, Kumar, Mahesh, additional, Wratten, Chris, additional, Tieu, Minh Thi, additional, Nixon, Jodie, additional, and Britton, Ben, additional

Published
2022
Full Text
View/download PDF

18. Modifiable Risk Factors for Attempted Suicide in Australian Clinical and Community Samples

Author

Carter, Gregory L., Page, Andrew, and Clover, Kerrie

Abstract

Modifiable risk factors for suicide attempt require identification in clinical and community samples. The aim of this study was to determine if similar social and psychiatric factors are associated with suicide attempts in community and clinical settings and whether the magnitude of effect is greater in clinical populations. Two case-control studies were used: nationwide community-based lifetime attempted suicide (ComAS) cases compared to nationwide community controls; and clinical deliberate self-poisoning (ClinDSP) cases that had hospital treatment compared to normative controls of similar demographic composition. The pattern of risk factors in ComAS and ClinDSP cases was similar, the magnitude of risk usually greater in clinical cases. Greatest attributable fractions were: ComAS current unemployment (39.8% male, 15.5% female) and anxiety disorders (14.0% males, 22.6% females); and ClinDSP current unemployment (69.6% male, 55.5% female) and affective disorders (45.4% male, 39.1% female). Practical intervention targets were unemployment, anxiety and substance use disorders, affective disorders (clinical only), and personality disorder (females only).

Published
2007
Full Text
View/download PDF

20. Can the Edinburgh Risk of Repetition Scale Predict Repetition of Deliberate Self-Poisoning in an Australian Clinical Setting?

Author

Carter, Gregory Leigh, Clover, Kerrie Ann, Bryant, Jennifer Lynn, and Whyte, Ian MacGregor

Abstract

Tests the ability of the Edinburgh Risk of Repetition Scale (ERRS) to identify patients at high risk for repeat deliberate self-poisoning (DSP). A statistically significant relationship between ERRS scores and repetition was observed; however, sensitivity and specificity were low. The ERRS had limited value in identifying patients at high risk of repeat DSP in this clinical population. (Contains 16 references and 4 tables.) (GCP)

Published
2002

21. 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

27. 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

28. 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

30. 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

37. Apples to apples? Comparison of the measurement properties of hospital anxiety and depression-anxiety subscale (HADS-A), depression, anxiety and stress scale-anxiety subscale (DASS-A), and generalised anxiety disorder (GAD-7) scale in an oncology setting using Rasch analysis and diagnostic accuracy statistics

Author

Clover, Kerrie, primary, Lambert, Sylvie D., additional, Oldmeadow, Christopher, additional, Britton, Benjamin, additional, King, Madeleine T., additional, Mitchell, Alex J., additional, and Carter, Gregory L., additional

Published
2020
Full Text
View/download PDF

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

Author

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

Subjects
Male, medicine.medical_specialty, MEDLINE, PsycINFO, Patient Health Questionnaire, Corrections, Sensitivity and Specificity, 03 medical and health sciences, 0302 clinical medicine, Interview, Psychological, Medicine, Humans, Mass Screening, 030212 general & internal medicine, Medical diagnosis, Aged, Psychiatric Status Rating Scales, Depressive Disorder, Major, business.industry, General Medicine, Middle Aged, Random effects model, Confidence interval, Data Accuracy, Family medicine, Meta-analysis, Structured interview, Female, business, 030217 neurology & neurosurgery
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

40. 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

42. Shortening self-report mental health symptom measures through optimal test assembly methods: development and validation of the Patient Health Questionnaire-Depression-4

Author

Ishihara, Miyabi, Harel, Daphna, Levis, Brooke, Levis, Alexander W, Riehm, Kira E, Saadat, Nazanin, Azar, Marliene, Rice, Danielle B, Sanchez, Tatiana A, Chiovitti, Matthew J, Cuijpers, Pim, Gilbody, Simon, Ioannidis, John PA, Kloda, Lorie A, McMillan, Dean, Patten, Scott B, Shrier, Ian, Arroll, Bruce, Bombardier, Charles H, Butterworth, Peter, Carter, Gregory, Clover, Kerrie, Conwell, Yeates, Goodyear-Smith, Felicity, Greeno, Catherine G, Hambridge, John, Harrison, Patricia A, Hudson, Marie, Jetté, Nathalie, Kiely, Kim M, McGuire, Adam, Pence, Brian W, Rooney, Alasdair G, Sidebottom, Abbey, Simning, Adam, Turner, Alyna, White, Jennifer, Whooley, Mary A, Winkley, Kirsty, Benedetti, Andrea, Thombs, Brett D, Ishihara, Miyabi, Harel, Daphna, Levis, Brooke, Levis, Alexander W, Riehm, Kira E, Saadat, Nazanin, Azar, Marliene, Rice, Danielle B, Sanchez, Tatiana A, Chiovitti, Matthew J, Cuijpers, Pim, Gilbody, Simon, Ioannidis, John PA, Kloda, Lorie A, McMillan, Dean, Patten, Scott B, Shrier, Ian, Arroll, Bruce, Bombardier, Charles H, Butterworth, Peter, Carter, Gregory, Clover, Kerrie, Conwell, Yeates, Goodyear-Smith, Felicity, Greeno, Catherine G, Hambridge, John, Harrison, Patricia A, Hudson, Marie, Jetté, Nathalie, Kiely, Kim M, McGuire, Adam, Pence, Brian W, Rooney, Alasdair G, Sidebottom, Abbey, Simning, Adam, Turner, Alyna, White, Jennifer, Whooley, Mary A, Winkley, Kirsty, Benedetti, Andrea, and Thombs, Brett D

Published
2019

44. Development and validation of the PCQ: a questionnaire to measure the psychological consequences of screening mammography

Author

Cockburn, Jill, De Luise, Trudy, Hurley, Susan, and Clover, Kerrie

Subjects
Mammography -- Psychological aspects, Psychological tests -- Validity, Health, Social sciences
Abstract

We have developed a reliable and valid questionnaire to measure the psychological consequences of screening mammography. The questionnaire measures the effect of screening on an individual's functioning on emotional, social, and physical life domains. Content validity was ensured by extensive review of the relevant literature, discussion with professionals and interviews with attenders at a pilot Breast X-ray Screening Program in Melbourne, Australia. Discriminant validity was assessed by having expert judges sort items into dimensions which they appeared to be measuring. Acceptable levels of concordance (above 80%) with a priori classifications were found. Concurrent validity was demonstrated by comparison of subscale scores of 53 attenders at the Breast X-ray Program with an independent interview assessment of dysfunction on each of the emotional, social and physical dimensions. There was over 79% agreement between interview scores and questionnaire scores for each dimension. Construct validity was confirmed by showing that subscale scores varied in predicted ways. For women who were recalled for further investigation, scores on each subscale measuring negative consequences, were higher at the recall clinic than at screening clinic (emotional: t = - 7.28; df = 70; P < 0.001; physical: t = - 2.53; df = 70; P = 0.014; social: t = - 2.49; df = 70; P = 0.015). The internal consistency of all subscales was found to be acceptable. This questionnaire is potentially useful for assessing the psychological consequences of the screening process and should have wide application.

Published
1992

45. 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
Full Text
View/download PDF

47. Patient Health Questionnaire-Depression--4

Author

Ishihara, Miyabi, primary, Harel, Daphna, additional, Levis, Brooke, additional, Levis, Alexander W., additional, Riehm, Kira E., additional, Saadat, Nazanin, additional, Azar, Marleine, additional, Rice, Danielle B., additional, Sanchez, Tatiana A., additional, Chiovitti, Matthew J., 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, Arroll, Bruce, additional, Bombardier, Charles H., additional, Butterworth, Peter, additional, Carter, Gregory, additional, Clover, Kerrie, additional, Conwell, Yeates, additional, Goodyear-Smith, Felicity, additional, Greeno, Catherine G., additional, Hambridge, John, additional, Harrison, Patricia A., additional, Hudson, Marie, additional, Jetté, Nathalie, additional, Kiely, Kim M., additional, McGuire, Anthony, additional, Pence, Brian W., additional, Rooney, Alasdair G., additional, Sidebottom, Abbey, additional, Simning, Adam, additional, Turner, Alyna, additional, White, Jennifer, additional, Whooley, Mary A., additional, Winkley, Kirsty, additional, Benedetti, Andrea, additional, and Thombs, Brett D., additional

Published
2019
Full Text
View/download PDF

48. Factors associated with waiting time for surgery

Author

Clover, Kerrie A., Dobbins, Timothy A., Smyth, Tim J., and Sanson-Fisher, Rob W.

Subjects
Australia -- Social policy, Hospitals -- Waiting lists, Surgery -- Social aspects, Health
Abstract

Researchers conducted a study to explore the factors linked with waiting times for surgery in Australian public hospitals. Participants included 691 adult patients entering a computerized booking list between 16 and 22 Nov 1994. Patients were interviewed and followed up over a period of 18 months. Their results revealed that surgical specialty, urgency rating, employment status, and health insurance status were directly associated with wafting time.

Published
1998

49. 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
Full Text
View/download PDF

50. 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

Catalog

Books, media, physical & digital resources
See catalog results