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Parsons M, Qiu L, Levis B, Fan S, Sun Y, Amiri LSN, Harel D, Markham S, Vigod SN, Ziegelstein RC, Wu Y, Boruff JT, Cuijpers P, Gilbody S, Patten SB, Benedetti A, Thombs BD. Depression prevalence of the Geriatric Depression Scale-15 was compared to Structured Clinical Interview for DSM using individual participant data meta-analysis. Sci Rep 2024; 14:17430. [PMID: 39075146 PMCID: PMC11286862 DOI: 10.1038/s41598-024-68496-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 07/24/2024] [Indexed: 07/31/2024] Open
Abstract
Depression questionnaire cutoffs are calibrated for screening accuracy and not to assess prevalence, but the Geriatric Depression Scale (GDS-15) is often used to estimate diagnostic prevalence among older adults, most commonly with scores of ≥ 5. We conducted an individual participant data meta-analysis to compare depression prevalence based on GDS-15 ≥ 5 to Structured Clinical Interview for Diagnostic and Statistical Manual (SCID) diagnoses and assessed whether an alternative cutoff could be more accurate. We used generalized linear mixed models to estimate prevalence. Data from 14 studies (3602 participants, 434 SCID major depression) were included. Pooled GDS-15 ≥ 5 prevalence was 34.2% (95% confidence interval [CI] 27.5-41.6%), and pooled SCID prevalence was 14.8% (95% CI 10.0-21.5%; difference of 17.6%, 95% CI 11.6-23.6%). GDS-15 ≥ 8 provided the closest estimate to SCID with mean difference of - 0.3% (95% prediction interval - 17.0-16.5%). Prevalence estimate differences were not associated with study or participant characteristics. In sum, GDS-15 ≥ 5 substantially overestimated depression prevalence. A cutoff of ≥ 8 was accurate overall, but heterogeneity was too high for implementation in practice. Validated diagnostic interviews should be used to estimate major depression prevalence among older adults.
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Affiliation(s)
- Marc Parsons
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, QC, Canada
| | - Lu Qiu
- Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada
| | - Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada
| | - Suiqiong Fan
- Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada
| | - Lara S N Amiri
- Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada
| | - Daphna Harel
- Department of Applied Statistics, Social Science, and Humanities, New York University, New York, NY, USA
| | - Sarah Markham
- Department of Biostatistics and Health Informatics, King's College London, London, UK
| | - Simone N Vigod
- Women's College Hospital and Research Institute, University of Toronto, Toronto, ON, Canada
| | - Roy C Ziegelstein
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Jill T Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, QC, Canada
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Simon Gilbody
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - Scott B Patten
- Departments of Community Health Sciences and Psychiatry, University of Calgary, Calgary, AB, Canada
- Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, AB, Canada
- Cuthbertson & Fischer Chair in Pediatric Mental Health, University of Calgary, Calgary, AB, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, QC, Canada
- Department of Medicine, McGill University, Montreal, QC, Canada
| | - Brett D Thombs
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
- Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada.
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Department of Medicine, McGill University, Montreal, QC, Canada.
- Department of Psychology, McGill University, Montreal, QC, Canada.
- Biomedical Ethics Unit, McGill University, Montreal, QC, Canada.
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Wei Z, Wang Y, Hu L, Wang Y, Li C, Sun L. Incidence, prevalence, and mortality of schizophrenia from 2016 to 2020 in Shandong, China. Psychiatry Res 2024; 331:115612. [PMID: 38039652 DOI: 10.1016/j.psychres.2023.115612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 12/03/2023]
Abstract
The epidemiology of schizophrenia has been reported in many countries. However, due to the limitations of those studies, the findings cannot be generalized to other parts of the world, especially in China. In this study, the incidence, prevalence, and mortality of schizophrenia in Shandong, China were calculated using data from the National Severe Mental Disorder Registration System collected between 2016 and 2020 and census data from 2010 to 2020. The overall incidence decreased from 9.61 per 100,000 in 2016 to 4.40 per 100,000 in 2020, the aggregate prevalence was approximately 3.20 per 1000, and the overall mortality ranged from 6.17 per 100,000 to 7.71 per 100,000. The evidence from this study indicated that the incidence, prevalence, and mortality of schizophrenia were higher in rural areas than in urban areas. Females had higher incidence, prevalence, and mortality than males. This study provided epidemiological information on schizophrenia and opened avenues for future research.
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Affiliation(s)
- Zhen Wei
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China; National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan 250012, China; Institute of Health and Elderly Care, Shandong University, Jinan 250012, China
| | - Yanhu Wang
- Department of Social Mental Health, Shandong Mental Health Center, Jinan 250014, China
| | - Lili Hu
- Department of Social Mental Health, Shandong Mental Health Center, Jinan 250014, China
| | - Yifan Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China; National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan 250012, China; Institute of Health and Elderly Care, Shandong University, Jinan 250012, China
| | - Caifeng Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China; National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan 250012, China; Institute of Health and Elderly Care, Shandong University, Jinan 250012, China
| | - Long Sun
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China; National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan 250012, China; Institute of Health and Elderly Care, Shandong University, Jinan 250012, China.
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Nassar EL, Abdulkareem DA, Thombs BD. Results from a living systematic review of the prevalence of mood and anxiety disorders and factors associated with symptoms in systemic sclerosis. Sci Rep 2023; 13:5181. [PMID: 36997795 PMCID: PMC10063612 DOI: 10.1038/s41598-023-31919-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 03/20/2023] [Indexed: 04/01/2023] Open
Abstract
We aimed to synthesize evidence on (1) the prevalence of mood and anxiety disorders and (2) factors associated with symptoms in systemic sclerosis (SSc). We searched MEDLINE, CINAHL, EMBASE, Cochrane CENTRAL, and PsycINFO via an ongoing living systematic review with automated monthly searches. We identified 6 eligible studies through March 1, 2023. Based on 3 studies (N = 93 to 345), current or 30-day major depressive disorder prevalence was 4% (95% confidence interval [CI] 2%, 6%) in a sample of Canadian outpatients (N = 345), 18% (95% CI 12%, 27%) in a study of Indian outpatients (N = 93), 10% (95% CI 4%, 21%) for French patient conference attendees (N = 51), and 29% (95% CI 18%, 42%) for French inpatients (N = 49). Current or 30-day prevalence of any anxiety disorder was 49% (95% CI 36%, 62%) for French conference attendees and 51% (95% CI 38%, 64%) for French inpatients; current or 30-day prevalence of generalized anxiety disorder was 3% for Indian outpatients (95% CI 1%, 9%; N = 93). In 3 studies (N = 114 to 376) that examined factors associated with depressive symptoms, higher education and being married or living as married were associated with lower symptoms and pulmonary involvement, breathing problems, and tender joint counts with higher symptoms; age and disease severity markers were not associated. Only 1 study (N = 114) assessed factors associated with anxiety symptoms and found no statistically significant associations. Limitations included heterogeneous populations and assessment methods, small samples, and substantial risk of bias concerns. Mood and anxiety disorder prevalence appear high in SSc, but estimates vary, and existing studies have important limitations. Future research should assess mood and anxiety prevalence and factors associated with symptoms using large representative samples and validated classification and assessment methods.Review registration: PROSPERO (CRD 42021251339).
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Affiliation(s)
- Elsa-Lynn Nassar
- Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste Catherine Road, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Dalal A Abdulkareem
- Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste Catherine Road, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste Catherine Road, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada.
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada.
- Department of Psychology, McGill University, Montreal, QC, Canada.
- Department of Medicine, McGill University, Montreal, QC, Canada.
- Biomedical Ethics Unit, McGill University, Montreal, QC, Canada.
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Quaedackers L, Droogleever Fortuyn H, Van Gilst M, Lappenschaar M, Overeem S. Dissociative Symptoms are Highly Prevalent in Adults with Narcolepsy Type 1. Behav Sleep Med 2022; 20:63-73. [PMID: 33594925 DOI: 10.1080/15402002.2021.1888729] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
INTRODUCTION The core symptoms of narcolepsy such as excessive daytime sleepiness and cataplexy are well known. However, there is mounting evidence for a much broader symptom spectrum, including psychiatric symptoms. Disordered sleep has previously been linked with dissociative symptoms, which may imply that patients with narcolepsy are more prone to develop such symptoms. OBJECTIVES To investigate the frequency of dissociative symptoms in adult patients with narcolepsy type 1 compared to population controls. METHODS In a retrospective case control study, sixty adult patients fulfilling the criteria for narcolepsy type 1 and 120 matched population control subjects received a structured interview using the Schedules for Clinical Assessment in Neuropsychiatry (SCAN) to assess dissociative symptoms and disorders. RESULTS A majority of narcolepsy patients reported dissociative symptoms, and even fulfilled the DSM-IV-TR criteria of a dissociative disorder (62% vs 1% in controls, p < .001). Most frequently reported symptoms were "dissociative amnesia" (37% vs 1%, p < .001) and "dissociative disorder of voluntary movement" (32% vs 1%, p < .001). CONCLUSION Dissociative symptoms are strikingly prevalent in adult patients with narcolepsy type 1. Although a formal diagnosis of dissociation disorder should not be made as the symptoms can be explained by narcolepsy as an underlying condition, the findings do illustrate the extent and severity of the dissociative symptoms. As for the pathophysiological mechanism, there may be symptom overlap between narcolepsy and dissociation disorder. However, there may also be a more direct link between disrupted sleep and dissociative symptoms. In either case, the high frequency of occurrence of dissociative symptoms should result in an active inquiry by doctors, to improve therapeutic management and guidance.
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Affiliation(s)
- Laury Quaedackers
- Center for Sleep Medicine Kempenhaeghe, Heeze, The Netherlands.,Department of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Hal Droogleever Fortuyn
- Department of Psychiatry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Merel Van Gilst
- Center for Sleep Medicine Kempenhaeghe, Heeze, The Netherlands.,Biomedical Diagnostics Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Martijn Lappenschaar
- Department of Psychiatry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Sebastiaan Overeem
- Center for Sleep Medicine Kempenhaeghe, Heeze, The Netherlands.,Biomedical Diagnostics Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
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More treatment but no less depression: The treatment-prevalence paradox. Clin Psychol Rev 2021; 91:102111. [PMID: 34959153 DOI: 10.1016/j.cpr.2021.102111] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 10/28/2021] [Accepted: 12/06/2021] [Indexed: 12/28/2022]
Abstract
Treatments for depression have improved, and their availability has markedly increased since the 1980s. Mysteriously the general population prevalence of depression has not decreased. This "treatment-prevalence paradox" (TPP) raises fundamental questions about the diagnosis and treatment of depression. We propose and evaluate seven explanations for the TPP. First, two explanations assume that improved and more widely available treatments have reduced prevalence, but that the reduction has been offset by an increase in: 1) misdiagnosing distress as depression, yielding more "false positive" diagnoses; or 2) an actual increase in depression incidence. Second, the remaining five explanations assume prevalence has not decreased, but suggest that: 3) treatments are less efficacious and 4) less enduring than the literature suggests; 5) trial efficacy doesn't generalize to real-world settings; 6) population-level treatment impact differs for chronic-recurrent versus non-recurrent cases; and 7) treatments have some iatrogenic consequences. Any of these seven explanations could undermine treatment impact on prevalence, thereby helping to explain the TPP. Our analysis reveals that there is little evidence that incidence or prevalence have increased as a result of error or fact (Explanations 1 and 2), and strong evidence that (a) the published literature overestimates short- and long-term treatment efficacy, (b) treatments are considerably less effective as deployed in "real world" settings, and (c) treatment impact differs substantially for chronic-recurrent cases relative to non-recurrent cases. Collectively, these a-c explanations likely account for most of the TPP. Lastly, little research exists on iatrogenic effects of current treatments (Explanation 7), but further exploration is critical.
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Negeri ZF, Levis B, Sun Y, He C, Krishnan A, Wu Y, Bhandari PM, Neupane D, Brehaut E, Benedetti A, Thombs BD. Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis. BMJ 2021; 375:n2183. [PMID: 34610915 PMCID: PMC8491108 DOI: 10.1136/bmj.n2183] [Citation(s) in RCA: 119] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVE To 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. DESIGN Systematic review and individual participant data meta-analysis. DATA SOURCES Medline, Medline In-Process, and Other Non-Indexed Citations via Ovid, PsycINFO, Web of Science searched through 9 May 2018. REVIEW METHODS Eligible 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. RESULTS Data 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. CONCLUSIONS Researchers 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 at www.depressionscreening100.com/phq. STUDY REGISTRATION PROSPERO CRD42014010673.
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Affiliation(s)
- Zelalem F Negeri
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, WC, Canada
| | - Brooke Levis
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Chen He
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Ankur Krishnan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Parash Mani Bhandari
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, WC, Canada
| | - Dipika Neupane
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, WC, Canada
| | - Eliana Brehaut
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, WC, Canada
- Department of Medicine, McGill University, Montréal, QC, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, QC, Canada
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, WC, Canada
- Department of Psychiatry, McGill University, Montréal, QC, Canada
- Department of Medicine, McGill University, Montréal, QC, Canada
- Department of Psychology, McGill University, Montréal, QC, Canada
- Department of Educational and Counselling Psychology, McGill University, Montréal, QC, Canada
- Biomedical Ethics Unit, McGill University, Montréal, QC, Canada
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Usual presence and intensity of pain are differentially associated with suicidality across chronic pain conditions: A population-based study. J Psychosom Res 2021; 148:110557. [PMID: 34225001 DOI: 10.1016/j.jpsychores.2021.110557] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 04/06/2021] [Accepted: 06/25/2021] [Indexed: 12/25/2022]
Abstract
OBJECTIVES This study examined the prevalence of suicidality and associations with pain characteristics (i.e., presence of usual pain/discomfort, pain intensity) among those with chronic pain conditions (i.e., arthritis, migraine, back pain). METHODS We analyzed data from the 2012 Canadian Community Health Survey-Mental Health supplement (N = 25,113), including self-reported pain characteristics and suicidality. Weighted cross-tabulations described suicidality prevalence estimates according to pain characteristics among each chronic pain condition. Multiple logistic regressions evaluated associations between the presence of usual pain/discomfort and suicidality across pain conditions. Post-hoc analyses examined pain intensity in significant associations. RESULTS Across pain conditions, rates of suicidality were greater in those usually in pain and with more severe pain, compared to mild or moderate pain. After adjustment, usual pain/discomfort was associated with increased odds of suicide ideation (AOR = 1.79, 95% CI [1.19-2.68], p < .05) and attempts (AOR = 2.49, 95% CI [1.25-4.98], p < .05) among those with migraines, and plans (AOR = 1.55, 95% CI [1.04-2.31], p < .05) in those with back pain (reference = absence of usual pain). Usual pain/discomfort was not associated with suicidality in those with arthritis after adjusting for sociodemographics and psychiatric comorbidity. Post-hoc analyses showed that severe pain was associated with elevated odds of suicide ideation (AOR = 2.19, 95% CI [1.07-4.48], p < .05) in migraines and plans (AOR = 3.11, 95% CI [1.42-6.80], p < .01) in back pain (reference = mild pain). CONCLUSION Our findings may facilitate a more targeted approach to screening for suicidality among chronic pain populations.
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Abstract
Bottom-up paradigms prioritize empirical data from which to derive conceptualizations of psychopathology. These paradigms use multivariate statistics to identify syndromes of problems that tend to co-occur plus higher-order groupings such as those designated as internalizing and externalizing. Bottom-up assessment instruments obtain self-ratings and collateral ratings of behavioral, emotional, social, and thought problems and strengths for ages 1½-90+. Ratings of population samples provide norms for syndrome and higher-order scales for each gender, at different ages, rated by different informants, in relation to multicultural norms. The normed assessment instruments operationalize the empirically derived syndromes and higher-order groupings for applications to clinical services, research, and training. Because cross-informant agreement is modest and no single informant provides comprehensive assessment data, software compares ratings by different informants. Top-down paradigms prioritize conceptual representations of the nature and structure of psychopathology, as exemplified by psychodynamic, DSM/ICD, and HiTOP paradigms. Although these paradigms originated with observations, they tend to prioritize conceptual representations over empirical data.
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Affiliation(s)
- Thomas M Achenbach
- Departments of Psychiatry and Psychological Science, University of Vermont, Burlington, Vermont 05401, USA;
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Wu Y, Levis B, Sun Y, He C, Krishnan A, Neupane D, Bhandari PM, Negeri Z, Benedetti A, Thombs BD. Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis. BMJ 2021; 373:n972. [PMID: 33972268 PMCID: PMC8107836 DOI: 10.1136/bmj.n972] [Citation(s) in RCA: 107] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To evaluate the accuracy of the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) to screen for major depression among people with physical health problems. DESIGN Systematic review and individual participant data meta-analysis. DATA SOURCES Medline, Medline In-Process and Other Non-Indexed Citations, PsycInfo, and Web of Science (from inception to 25 October 2018). REVIEW METHODS Eligible datasets included HADS-D scores and major depression status based on a validated diagnostic interview. Primary study data and study level data extracted from primary reports were combined. For HADS-D cut-off thresholds of 5-15, a bivariate random effects meta-analysis was used to estimate pooled sensitivity and specificity, separately, in studies that used semi-structured diagnostic interviews (eg, Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders), fully structured interviews (eg, Composite International Diagnostic Interview), and the Mini International Neuropsychiatric Interview. One stage meta-regression was used to examine whether accuracy was associated with reference standard categories and the characteristics of participants. Sensitivity analyses were done to assess whether including published results from studies that did not provide raw data influenced the results. RESULTS Individual participant data were obtained from 101 of 168 eligible studies (60%; 25 574 participants (72% of eligible participants), 2549 with major depression). Combined sensitivity and specificity was maximised at a cut-off value of seven or higher for semi-structured interviews, fully structured interviews, and the Mini International Neuropsychiatric Interview. Among studies with a semi-structured interview (57 studies, 10 664 participants, 1048 with major depression), sensitivity and specificity were 0.82 (95% confidence interval 0.76 to 0.87) and 0.78 (0.74 to 0.81) for a cut-off value of seven or higher, 0.74 (0.68 to 0.79) and 0.84 (0.81 to 0.87) for a cut-off value of eight or higher, and 0.44 (0.38 to 0.51) and 0.95 (0.93 to 0.96) for a cut-off value of 11 or higher. Accuracy was similar across reference standards and subgroups and when published results from studies that did not contribute data were included. CONCLUSIONS When screening for major depression, a HADS-D cut-off value of seven or higher maximised combined sensitivity and specificity. A cut-off value of eight or higher generated similar combined sensitivity and specificity but was less sensitive and more specific. To identify medically ill patients with depression with the HADS-D, lower cut-off values could be used to avoid false negatives and higher cut-off values to reduce false positives and identify people with higher symptom levels. TRIAL REGISTRATION PROSPERO CRD42015016761.
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Affiliation(s)
- Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Brooke Levis
- Centre for Prognosis Research, School of Primary, Community and Social Care Medicine, Keele University, Staffordshire, UK
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Chen He
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Ankur Krishnan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Dipika Neupane
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Parash Mani Bhandari
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Zelalem Negeri
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
- Department of Medicine, McGill University, Montréal, QC, Canada
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
- Department of Psychiatry, McGill University, Montréal, QC, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
- Department of Medicine, McGill University, Montréal, QC, Canada
- Biomedical Ethics Unit, McGill University, Montréal, QC, Canada
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Fischer F, Levis B, Falk C, Sun Y, Ioannidis JPA, Cuijpers P, Shrier I, Benedetti A, Thombs BD. Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis. Psychol Med 2021; 52:1-12. [PMID: 33612144 PMCID: PMC9393567 DOI: 10.1017/s0033291721000131] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 12/17/2020] [Accepted: 01/14/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND Previous research on the depression scale of the Patient Health Questionnaire (PHQ-9) has found that different latent factor models have maximized empirical measures of goodness-of-fit. The clinical relevance of these differences is unclear. We aimed to investigate whether depression screening accuracy may be improved by employing latent factor model-based scoring rather than sum scores. METHODS We used an individual participant data meta-analysis (IPDMA) database compiled to assess the screening accuracy of the PHQ-9. We included studies that used the Structured Clinical Interview for DSM (SCID) as a reference standard and split those into calibration and validation datasets. In the calibration dataset, we estimated unidimensional, two-dimensional (separating cognitive/affective and somatic symptoms of depression), and bi-factor models, and the respective cut-offs to maximize combined sensitivity and specificity. In the validation dataset, we assessed the differences in (combined) sensitivity and specificity between the latent variable approaches and the optimal sum score (⩾10), using bootstrapping to estimate 95% confidence intervals for the differences. RESULTS The calibration dataset included 24 studies (4378 participants, 652 major depression cases); the validation dataset 17 studies (4252 participants, 568 cases). In the validation dataset, optimal cut-offs of the unidimensional, two-dimensional, and bi-factor models had higher sensitivity (by 0.036, 0.050, 0.049 points, respectively) but lower specificity (0.017, 0.026, 0.019, respectively) compared to the sum score cut-off of ⩾10. CONCLUSIONS In a comprehensive dataset of diagnostic studies, scoring using complex latent variable models do not improve screening accuracy of the PHQ-9 meaningfully as compared to the simple sum score approach.
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Affiliation(s)
- Felix Fischer
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire, UK
| | - Carl Falk
- Department of Psychology, McGill University, Montréal, Québec, Canada
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - John P. A. Ioannidis
- Department of Medicine, Department of Epidemiology and Population Health, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, California, USA
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, the Netherlands
| | - Ian Shrier
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Family Medicine, McGill University, Montréal, Québec, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
| | - Brett D. Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Psychology, McGill University, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
- Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada
- Biomedical Ethics Unit, McGill University, Montréal, Québec, Canada
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Wu Y, Levis B, Ioannidis JPA, Benedetti A, Thombs BD. Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses. PSYCHOTHERAPY AND PSYCHOSOMATICS 2021; 90:28-40. [PMID: 32814337 PMCID: PMC8993569 DOI: 10.1159/000509283] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 06/05/2020] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Three previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CIDI) and the Mini International Neuropsychiatric Interview (MINI), tended to misclassify major depression status, when controlling for depression symptom severity. However, there was an important lack of precision in the results. OBJECTIVE To compare the odds of the major depression classification based on the SCID, CIDI, and MINI. METHODS We included and standardized data from 3 IPDMA databases. For each IPDMA, separately, we fitted binomial generalized linear mixed models to compare the adjusted odds ratios (aORs) of major depression classification, controlling for symptom severity and characteristics of participants, and the interaction between interview and symptom severity. Next, we synthesized results using a DerSimonian-Laird random-effects meta-analysis. RESULTS In total, 69,405 participants (7,574 [11%] with major depression) from 212 studies were included. Controlling for symptom severity and participant characteristics, the MINI (74 studies; 25,749 participants) classified major depression more often than the SCID (108 studies; 21,953 participants; aOR 1.46; 95% confidence interval [CI] 1.11-1.92]). Classification odds for the CIDI (30 studies; 21,703 participants) and the SCID did not differ overall (aOR 1.19; 95% CI 0.79-1.75); however, as screening scores increased, the aOR increased less for the CIDI than the SCID (interaction aOR 0.64; 95% CI 0.52-0.80). CONCLUSIONS Compared to the SCID, the MINI classified major depression more often. The odds of the depression classification with the CIDI increased less as symptom levels increased. Interpretation of research that uses diagnostic interviews to classify depression should consider the interview characteristics.
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Affiliation(s)
- Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada;,Department of Psychiatry, McGill University, Montreal, Quebec, Canada;,Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, ontreal, Quebec, Canada
| | - Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada;,Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, ontreal, Quebec, Canada;,Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire, UK
| | - John P. A. Ioannidis
- Departments of Medicine, Health Research and Policy, Biomedical Data Science, and Statistics, Stanford University, Stanford, California, USA
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, ontreal, Quebec, Canada;,Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, Quebec, Canada;,Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Brett D. Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada;,Department of Psychiatry, McGill University, Montreal, Quebec, Canada;,Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, ontreal, Quebec, Canada;,Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, Quebec, Canada;,Department of Medicine, McGill University, Montreal, Quebec, Canada;,Department of Psychology, McGill University, Montreal, Quebec, Canada;,Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada
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12
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Levis B, Negeri Z, Sun Y, Benedetti A, Thombs BD. Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression among pregnant and postpartum women: systematic review and meta-analysis of individual participant data. BMJ 2020; 371:m4022. [PMID: 33177069 PMCID: PMC7656313 DOI: 10.1136/bmj.m4022] [Citation(s) in RCA: 375] [Impact Index Per Article: 75.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/10/2020] [Indexed: 02/01/2023]
Abstract
OBJECTIVE To evaluate the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression in pregnant and postpartum women. DESIGN Individual participant data meta-analysis. DATA SOURCES Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science (from inception to 3 October 2018). ELIGIBILITY CRITERIA FOR SELECTING STUDIES Eligible datasets included EPDS scores and major depression classification based on validated diagnostic interviews. Bivariate random effects meta-analysis was used to estimate EPDS sensitivity and specificity compared with semi-structured, fully structured (Mini International Neuropsychiatric Interview (MINI) excluded), and MINI diagnostic interviews separately using individual participant data. One stage meta-regression was used to examine accuracy by reference standard categories and participant characteristics. RESULTS Individual participant data were obtained from 58 of 83 eligible studies (70%; 15 557 of 22 788 eligible participants (68%), 2069 with major depression). Combined sensitivity and specificity was maximised at a cut-off value of 11 or higher across reference standards. Among studies with a semi-structured interview (36 studies, 9066 participants, 1330 with major depression), sensitivity and specificity were 0.85 (95% confidence interval 0.79 to 0.90) and 0.84 (0.79 to 0.88) for a cut-off value of 10 or higher, 0.81 (0.75 to 0.87) and 0.88 (0.85 to 0.91) for a cut-off value of 11 or higher, and 0.66 (0.58 to 0.74) and 0.95 (0.92 to 0.96) for a cut-off value of 13 or higher, respectively. Accuracy was similar across reference standards and subgroups, including for pregnant and postpartum women. CONCLUSIONS An EPDS cut-off value of 11 or higher maximised combined sensitivity and specificity; a cut-off value of 13 or higher was less sensitive but more specific. To identify pregnant and postpartum women with higher symptom levels, a cut-off of 13 or higher could be used. Lower cut-off values could be used if the intention is to avoid false negatives and identify most patients who meet diagnostic criteria. REGISTRATION PROSPERO (CRD42015024785).
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Affiliation(s)
- Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Centre for Prognosis Research, School of Medicine, Keele University, Staffordshire, UK
| | - Zelalem Negeri
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, Quebec, Canada
- Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Department of Psychology, McGill University, Montreal, Quebec, Canada
- Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada
- Biomedical Ethics Unit, McGill University, Montreal, Quebec, Canada
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Levis B, Sun Y, He C, Wu Y, Krishnan A, Bhandari PM, Neupane D, Imran M, Brehaut E, Negeri Z, Fischer FH, Benedetti A, Thombs BD. Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression: Systematic Review and Meta-analysis. JAMA 2020; 323:2290-2300. [PMID: 32515813 PMCID: PMC7284301 DOI: 10.1001/jama.2020.6504] [Citation(s) in RCA: 314] [Impact Index Per Article: 62.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
IMPORTANCE The Patient Health Questionnaire depression module (PHQ-9) is a 9-item self-administered instrument used for detecting depression and assessing severity of depression. The Patient Health Questionnaire-2 (PHQ-2) consists of the first 2 items of the PHQ-9 (which assess the frequency of depressed mood and anhedonia) and can be used as a first step to identify patients for evaluation with the full PHQ-9. OBJECTIVE To estimate PHQ-2 accuracy alone and combined with the PHQ-9 for detecting major depression. DATA SOURCES MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, PsycINFO, and Web of Science (January 2000-May 2018). STUDY SELECTION Eligible data sets compared PHQ-2 scores with major depression diagnoses from a validated diagnostic interview. DATA EXTRACTION AND SYNTHESIS Individual participant data were synthesized with bivariate random-effects meta-analysis to estimate pooled sensitivity and specificity of the PHQ-2 alone among studies using semistructured, fully structured, or Mini International Neuropsychiatric Interview (MINI) diagnostic interviews separately and in combination with the PHQ-9 vs the PHQ-9 alone for studies that used semistructured interviews. The PHQ-2 score ranges from 0 to 6, and the PHQ-9 score ranges from 0 to 27. RESULTS Individual participant data were obtained from 100 of 136 eligible studies (44 318 participants; 4572 with major depression [10%]; mean [SD] age, 49 [17] years; 59% female). Among studies that used semistructured interviews, PHQ-2 sensitivity and specificity (95% CI) were 0.91 (0.88-0.94) and 0.67 (0.64-0.71) for cutoff scores of 2 or greater and 0.72 (0.67-0.77) and 0.85 (0.83-0.87) for cutoff scores of 3 or greater. Sensitivity was significantly greater for semistructured vs fully structured interviews. Specificity was not significantly different across the types of interviews. The area under the receiver operating characteristic curve was 0.88 (0.86-0.89) for semistructured interviews, 0.82 (0.81-0.84) for fully structured interviews, and 0.87 (0.85-0.88) for the MINI. There were no significant subgroup differences. For semistructured interviews, sensitivity for PHQ-2 scores of 2 or greater followed by PHQ-9 scores of 10 or greater (0.82 [0.76-0.86]) was not significantly different than PHQ-9 scores of 10 or greater alone (0.86 [0.80-0.90]); specificity for the combination was significantly but minimally higher (0.87 [0.84-0.89] vs 0.85 [0.82-0.87]). The area under the curve was 0.90 (0.89-0.91). The combination was estimated to reduce the number of participants needing to complete the full PHQ-9 by 57% (56%-58%). CONCLUSIONS AND RELEVANCE In an individual participant data meta-analysis of studies that compared PHQ scores with major depression diagnoses, the combination of PHQ-2 (with cutoff ≥2) followed by PHQ-9 (with cutoff ≥10) had similar sensitivity but higher specificity compared with PHQ-9 cutoff scores of 10 or greater alone. Further research is needed to understand the clinical and research value of this combined approach to screening.
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Affiliation(s)
- Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Chen He
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Ankur Krishnan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Parash Mani Bhandari
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Dipika Neupane
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Mahrukh Imran
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Eliana Brehaut
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Zelalem Negeri
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Felix H. Fischer
- Center for Internal Medicine and Dermatology, Department of Psychosomatic Medicine, Charité, Universitätsmedizin Berlin, Germany
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, Québec, Canada
| | - Brett D. Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Department of Psychology, McGill University, Montréal, Québec, Canada
- Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada
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Bilevicius E, Sommer JL, Keough MT, El-Gabalawy R. An Examination of Comorbid Generalized Anxiety Disorder and Chronic Pain on Substance Misuse in a Canadian Population-Based Survey. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2020; 65:418-425. [PMID: 31896273 PMCID: PMC7265603 DOI: 10.1177/0706743719895340] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Chronic pain and generalized anxiety disorder (GAD) are co-occurring, and both conditions are independently associated with substance misuse. However, limited research has examined the impact of comorbid GAD and chronic pain on substance misuse. The aim of this article was to examine the associations between comorbid GAD and chronic pain conditions compared to GAD only with nonmedical opioid use, drug abuse/dependence, and alcohol abuse/dependence in a Canadian, population-based sample. METHODS Data came from the 2012 Canadian Community Health Survey-Mental Health (N = 25,113). Multiple logistic regressions assessed the associations between comorbid GAD and chronic pain conditions (migraine, back pain, and arthritis) on substance misuse. RESULTS Comorbid GAD + back pain and GAD + migraine were associated with increased odds of nonmedical opioid use compared to GAD only. However, the relationship was no longer significant after controlling for additional chronic pain conditions. No significant relationship was found between GAD + chronic pain conditions with drug or alcohol abuse/dependence. CONCLUSIONS Comorbid GAD + back pain and GAD + migraine have a unique association with nonmedical opioid use in Canadians compared to GAD only, and chronic pain multimorbidity may be driving this relationship. Results emphasize the need for screening for substance misuse and prescription access in the context of GAD and comorbid chronic pain.
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Affiliation(s)
- Elena Bilevicius
- Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada.,Department of Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Jordana L Sommer
- Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada.,Department of Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Matthew T Keough
- Department of Psychology, York University, North York, Ontario, Canada
| | - Renée El-Gabalawy
- Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada.,Department of Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.,Department of Clinical Health Psychology, University of Manitoba, Winnipeg, Manitoba, Canada.,Department of Psychiatry, University of Manitoba, Winnipeg, Manitoba, Canada
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Dang L, Dong L, Mezuk B. Shades of Blue and Gray: A Comparison of the Center for Epidemiologic Studies Depression Scale and the Composite International Diagnostic Interview for Assessment of Depression Syndrome in Later Life. THE GERONTOLOGIST 2020; 60:e242-e253. [PMID: 31112598 PMCID: PMC7228460 DOI: 10.1093/geront/gnz044] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Psychiatric research lacks the equivalent of a thermometer, that is, a tool that accurately measures mental disorder regardless of context. Instead, the psychometric properties of scales that purport to assess psychopathology must be continuously evaluated. To that end, this study evaluated the diagnostic agreement between the eight-item Center for Epidemiologic Studies Depression Scale (CESD-8) and the Composite International Diagnostic Interview-short form (CIDI-SF) in the Health and Retirement Study (HRS). RESEARCH DESIGN AND METHODS Data come from 17,613 respondents aged >50 from the 2014 wave of the HRS. Kappa coefficients were used to assess the agreement between the 2 instruments on depression classification across a range of thresholds for identifying case status, including variation across subgroups defined by age, race/ethnicity, and gender. RESULTS The point prevalence of depression syndrome estimated by the CESD was higher than that estimated by the CIDI-SF (CESD: 9.9%-19.5% depending on the cutoff applied to the CESD vs CIDI-SF: 7.7%). Assuming CIDI-SF as the gold standard, the CESD yielded a sensitivity of 56.2%-70.2% and specificity of 84.7%-94.0% across the range of cutoffs. The agreement on depression classification was weak (κ = 0.32-0.44). DISCUSSION AND IMPLICATIONS Depression cases identified by the CESD have poor agreement with those identified by the CIDI-SF. Conceptually, psychological distress as measured by the CESD is not interchangeable with depression syndrome as measured by the CIDI-SF. Population estimates of depression among older adults based on the CESD should be interpreted with caution.
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Affiliation(s)
- Linh Dang
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Liming Dong
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
- Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor
| | - Briana Mezuk
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
- Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor
- Research Center for Group Dynamics, Institute for Social Research, University of Michigan, Ann Arbor
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Schützwohl M, Kallert T, Jurjanz L. Using the Schedules for Clinical Assessment in Neuropsychiatry (SCAN 2.1) as a diagnostic interview providing dimensional measures: Cross-national findings on the psychometric properties of psychopathology scales. Eur Psychiatry 2020; 22:229-38. [PMID: 17188845 DOI: 10.1016/j.eurpsy.2006.10.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2006] [Revised: 10/17/2006] [Accepted: 10/22/2006] [Indexed: 11/29/2022] Open
Abstract
AbstractBackgroundThe Schedules for Clinical Assessment in Neuropsychiatry (SCAN) is a set of clinical assessment instruments developed under the auspices of WHO. In contrast to other structured diagnostic interviews, SCAN also provides possibilities for dimensional assessment of psychopathology. This paper reports cross-national findings on the psychometric properties of psychopathology scales derived from SCAN 2.1.MethodsWithin a randomized controlled trial, SCAN 2.1 was used in Dresden (Germany), Michalovce (Slovak Republic), Prague (Czech Republic), and Wrocław (Poland). Forty-seven items from Part I of SCAN 2.1, identified as qualifying for constructing dimensional measures, were, on the one hand, grouped according to their allocation to five specific SCAN 2.1 sections. On the other hand, principal component analyses were used to group the items according to their statistical relationship. To estimate the reliability of the scales, Cronbach's α was computed. To assess factor similarity across sites, Tucker's congruence coefficients were calculated. To appraise concurrent validity, mean scale scores were compared across different diagnostic groups.ResultsReliability was qualified as moderate to substantial for all generated scales. Factor-solutions differed across sites. Differences in mean scores supported the assumption that the scales might possess, in addition to face validity, concurrent validity.ConclusionsThis is the first cross-national study on the psychometric properties of psychopathology scales derived from SCAN 2.1, and findings are very encouraging concerning its use as a dimensional measure. However, further studies are needed to substantiate implementation of the scales established.
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Affiliation(s)
- Matthias Schützwohl
- Dresden University of Technology, Department of Psychiatry and Psychotherapy, Fetscherstr. 74, D-01307 Dresden, Germany.
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Skapinakis P, Lewis G, Davies S, Brugha T, Prince M, Singleton N. Panic disorder and subthreshold panic in the UK general population: Epidemiology, comorbidity and functional limitation. Eur Psychiatry 2020; 26:354-62. [DOI: 10.1016/j.eurpsy.2010.06.004] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2010] [Revised: 06/14/2010] [Accepted: 06/23/2010] [Indexed: 10/19/2022] Open
Abstract
AbstractObjectiveThe epidemiology of panic disorder has not been investigated in the past in the UK using a nationally representative sample of the population. The aim of the present paper was to examine the epidemiology, comorbidity and functional impairment of subthreshold panic and panic disorder with or without agoraphobia.MethodWe used data from the 2000 Office for National Statistics Psychiatric Morbidity survey (N = 8580). Panic disorder and agoraphobia were assessed with the Revised Clinical Interview Schedule (CIS-R).ResultThe prevalence of panic disorder with or without agoraphobia was 1.70% (95% confidence interval: 1.41–2.03%). Subthreshold panic was more common. Economic inactivity was consistently associated with all syndromes. The comorbidity pattern of the panic syndromes and the associated functional impairment show that panic-related conditions are important public health problems, even in subthreshold status.ConclusionsThe findings show that efforts to reduce the disability associated with psychiatric disorders should include detection and management of panic disorder.
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Wu Y, Levis B, Sun Y, Krishnan A, He C, Riehm KE, Rice DB, Azar M, Yan XW, Neupane D, Bhandari PM, Imran M, Chiovitti MJ, Saadat N, Boruff JT, Cuijpers P, Gilbody S, McMillan D, Ioannidis JPA, Kloda LA, Patten SB, Shrier I, Ziegelstein RC, Henry M, Ismail Z, Loiselle CG, Mitchell ND, Tonelli M, Al-Adawi S, Beraldi A, Braeken APBM, Büel-Drabe N, Bunevicius A, Carter G, Chen CK, Cheung G, Clover K, Conroy RM, Cukor D, da Rocha E Silva CE, Dabscheck E, Daray FM, Douven E, Downing MG, Feinstein A, Ferentinos PP, Fischer FH, Flint AJ, Fujimori M, Gallagher P, Gandy M, Goebel S, Grassi L, Härter M, Jenewein J, Jetté N, Julião M, Kim JM, Kim SW, Kjærgaard M, Köhler S, Loosman WL, Löwe B, Martin-Santos R, Massardo L, Matsuoka Y, Mehnert A, Michopoulos I, Misery L, Navines R, O'Donnell ML, Öztürk A, Peceliuniene J, Pintor L, Ponsford JL, Quinn TJ, Reme SE, Reuter K, Rooney AG, Sánchez-González R, Schwarzbold ML, Senturk Cankorur V, Shaaban J, Sharpe L, Sharpe M, Simard S, Singer S, Stafford L, Stone J, Sultan S, Teixeira AL, Tiringer I, Turner A, Walker J, Walterfang M, Wang LJ, White J, Wong DK, Benedetti A, Thombs BD. 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. J Psychosom Res 2020; 129:109892. [PMID: 31911325 DOI: 10.1016/j.jpsychores.2019.109892] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 12/10/2019] [Accepted: 12/11/2019] [Indexed: 02/01/2023]
Abstract
OBJECTIVE Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). METHODS Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores. RESULTS There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)). CONCLUSION Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.
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Affiliation(s)
- Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Ankur Krishnan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Chen He
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Kira E Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Danielle B Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Psychology, McGill University, Montréal, QC, Canada
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
| | - Xin Wei Yan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Dipika Neupane
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
| | - Parash Mani Bhandari
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
| | - Mahrukh Imran
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Matthew J Chiovitti
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Nazanin Saadat
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Jill T Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, QC, Canada
| | - Pim Cuijpers
- EMGO Institute, Vrije Universiteit Amsterdam, the Netherlands
| | - Simon Gilbody
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - Dean McMillan
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - John P A Ioannidis
- Department of Clinical, Neuro and Developmental Psychology, Department of Medicine, Department of Health Research and Policy, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, CA, USA
| | | | - Scott B Patten
- Departments of Community Health Sciences and Psychiatry, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada; Cuthbertson & Fischer Chair in Pediatric Mental Health, University of Calgary, Calgary, Canada
| | - Ian Shrier
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Department of Family Medicine, McGill University, Montréal, QC, Canada
| | - Roy C Ziegelstein
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Melissa Henry
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Zahinoor Ismail
- Hotchkiss Brain Institute & O'Brien Institute for Public Health, Calgary, AB, Canada; Department of Psychiatry, Clinical Neuroscience and Community Health Sciences, University of Calgary, Calgary, AB, Canada; Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Carmen G Loiselle
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Ingram School of Nursing, McGill University, Montréal, QC, Canada; Centre for Nursing Research, Jewish General Hospital, Montréal, QC, Canada; Department of Oncology, Faculty of Medicine, McGill University, Montréal, QC, Canada
| | - Nicholas D Mitchell
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Alberta Health Services, Edmonton, AB, Canada
| | - Marcello Tonelli
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Samir Al-Adawi
- Department of Behavioural Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, Oman, Oman
| | - Anna Beraldi
- Psychotherapie und Psychsomatik, kbo Lech-Mangfall-Klinik für Psychatrie, Garmisch-Partenkirchen, Bayern, Germany
| | - Anna P B M Braeken
- Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, the Netherlands; Faculty of Psychology, Open University of the Netherlands, Heerlen, the Netherlands; Department of Health Services Research, CAPHRI School for Public Health and Primary, Maastricht University, Maastricht, the Netherlands
| | - Natalie Büel-Drabe
- Department of Psychiatry and Psychotherapy, University Hospital Zürich, Zürich, Switzerland
| | - Adomas Bunevicius
- Harvard University, Boston, MA, USA; Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Gregory Carter
- University of Newcastle, Australia; Calvary Mater Newcastle, Australia
| | - Chih-Ken Chen
- Community Medicine Research Center, Keelung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Keelung, Taiwan; Department of Psychiatry, Keelung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Keelung, Taiwan
| | - Gary Cheung
- University of Auckland, Auckland, New Zealand
| | - Kerrie Clover
- Centre for Brain and Mental Health Research, University of Newcastle, NSW, Australia
| | - Ronán M Conroy
- Royal College of Surgeons in Ireland Division of Population Health Sciences, Dublin, Ireland
| | | | - Carlos E da Rocha E Silva
- Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Eli Dabscheck
- The Alfred Hospital, Prahran, VIC, Australia; Monash University, Melbourne, Australia
| | - Federico M Daray
- National Scientific and Technical Research Council, Buenos Aires, Argentina; Institute of Pharmacology, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina
| | - Elles Douven
- Alzheimer Center Limburg and School for Mental Health and Neuroscience (MHeNs), Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Marina G Downing
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia; Monash Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, VIC, Australia
| | - Anthony Feinstein
- University of Toronto, Toronto, ON, Canada; Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Panagiotis P Ferentinos
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Felix H Fischer
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Alastair J Flint
- University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Maiko Fujimori
- Section of Psychological Science, Division of Health Care Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | | | - Milena Gandy
- The Department of Psychology, Macquarie University, Sydney, Australia
| | - Simone Goebel
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Christian-Albrechts University, Kiel, Germany
| | - Luigi Grassi
- Institute of Psychiatry, Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy; Psychiatric Unit, Integrated Department of Mental Health and Addictive Behavior, Health Trust, University Hospital, Ferrara, Italy
| | - Martin Härter
- Department of Medical Psychology, University of Hamburg, Hamburg, Germany
| | - Josef Jenewein
- Clinic Zugersee, Center for Psychiatry and Psychotherapie, Oberwil-Zug, Switzerland; University of Zurich, Zurich, Switzerland
| | - Nathalie Jetté
- Departments of Neurology and Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - Miguel Julião
- Equipa Comunitária de Suporte em Cuidados Paliativos de Sintra, Portugal
| | - Jae-Min Kim
- Chonnam National University Medical School, Republic of Korea
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Republic of Korea
| | - Marie Kjærgaard
- Endocrinology Research Group, Medical Clinic, University Hospital of North Norway, Norway; Department of Internal Medicine, Kolding Hospital, Hospital Lillebaelt, Denmark
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Wim L Loosman
- Onze Lieve vrouw Gasthuis, Amsterdam, the Netherlands
| | - Bernd Löwe
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Rocio Martin-Santos
- Department of Psychiatry and Psychology, Hospital Clinic, IDIBAPS, CIBERSAM, Barcelona, Spain; Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | - Loreto Massardo
- Centro de Biología Celular y Biomedicina, Facultad de Medicina y Ciencia, Universidad San Sebastián. Santiago, Chile
| | - Yutaka Matsuoka
- Division of Health Care Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan; Lifestyle Medicine, Cooperative Graduate Program, The Jikei University Graduate School of Medicine, Tokyo, Japan
| | - Anja Mehnert
- Department of Medical Psychology and Medical Sociology, University of Leipzig, Germany
| | - Ioannis Michopoulos
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Laurent Misery
- Department of Dermatology, University Hospital of Brest, Brest, France
| | - Ricard Navines
- Department of Psychiatry and Psychology, Hospital Clinic, IDIBAPS, CIBERSAM, Barcelona, Spain; Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | | | | | - Jurate Peceliuniene
- Clinic of Internal Diseases, Family Medicine and Oncology, Vilnius University Faculty of Medicine, Vilnius, Lithuania
| | - Luis Pintor
- Consultation Liaison Psychiatry Unit, Hospital Clínico de Barcelona, Barcelona, Spain; Instituto de Investigaciones Biomédicas Augusto Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Jennie L Ponsford
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia; Monash Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, VIC, Australia
| | - Terence J Quinn
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Silje E Reme
- Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway; Department of Pain Management and Research, Oslo University Hospital, Oslo, Norway
| | - Katrin Reuter
- Private Practice for Psychotherapy and Psycho-oncology, Freiburg, Germany
| | - Alasdair G Rooney
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK; Robert Fergusson Unit, Royal Edinburgh Hospital, NHS Lothian, Edinburgh, UK
| | - Roberto Sánchez-González
- Department of Psychiatry, Institut de Neuropsiquiatria i Addiccions, Centre Emili Mira, Parc de Salut Mar, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Centro de Investigación Biomédica En Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Marcelo L Schwarzbold
- Department of Internal Medicine, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | | | - Juwita Shaaban
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Louise Sharpe
- School of Psychology, The University of Sydney, Sydney, NSW, Australia
| | | | - Sébastien Simard
- Département des sciences de la santé, Université du Québec à Chicoutimi (UQAC), QC, Canada; Centre intersectoriel en santé durable (CISD), QC, Canada; Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec (IUCPQ), QC, Canada
| | - Susanne Singer
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Centre Mainz, Mainz, Germany
| | - Lesley Stafford
- Centre for Women's Mental Health, Royal Women's Hospital, Parkville, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Jon Stone
- University of Edinburgh, Edinburgh, UK
| | - Serge Sultan
- Université de Montréal, QC, Canada; CHU Sainte-Justine, Montréal, QC, Canada
| | - Antonio L Teixeira
- University of Texas Health Science Center at Houston, Houston, TX, USA; Santa Casa BH Ensino & Pesquisa, Belo Horizonte, Brazil
| | - Istvan Tiringer
- Institute of Behavioral Sciences, Pécs University, Medical School, Pécs, Hungary
| | - Alyna Turner
- IMPACT Strategic Research Centre and School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia; Faculty of Health and Medicine, School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia; Department of Psychiatry, Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | | | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia; Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
| | - Liang-Jen Wang
- Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | | | - Dana K Wong
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia; School of Psychology & Public Health, La Trobe University, Melbourne, Australia
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, QC, Canada; Department of Medicine, McGill University, Montréal, QC, Canada.
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Department of Psychiatry, McGill University, Montréal, QC, Canada; Department of Psychology, McGill University, Montréal, QC, Canada; Department of Medicine, McGill University, Montréal, QC, Canada; Department of Educational and Counselling Psychology, McGill University, Montréal, QC, Canada.
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19
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Levis B, McMillan D, Sun Y, He C, Rice DB, Krishnan A, Wu Y, Azar M, Sanchez TA, Chiovitti MJ, Bhandari PM, Neupane D, Saadat N, Riehm KE, Imran M, Boruff JT, Cuijpers P, Gilbody S, Ioannidis JPA, Kloda LA, Patten SB, Shrier I, Ziegelstein RC, Comeau L, Mitchell ND, Tonelli M, Vigod SN, Aceti F, Alvarado R, Alvarado-Esquivel C, Bakare MO, Barnes J, Beck CT, Bindt C, Boyce PM, Bunevicius A, Couto TCE, Chaudron LH, Correa H, de Figueiredo FP, Eapen V, Fernandes M, Figueiredo B, Fisher JRW, Garcia-Esteve L, Giardinelli L, Helle N, Howard LM, Khalifa DS, Kohlhoff J, Kusminskas L, Kozinszky Z, Lelli L, Leonardou AA, Lewis BA, Maes M, Meuti V, Nakić Radoš S, Navarro García P, Nishi D, Okitundu Luwa E-Andjafono D, Robertson-Blackmore E, Rochat TJ, Rowe HJ, Siu BWM, Skalkidou A, Stein A, Stewart RC, Su KP, Sundström-Poromaa I, Tadinac M, Tandon SD, Tendais I, Thiagayson P, Töreki A, Torres-Giménez A, Tran TD, Trevillion K, Turner K, Vega-Dienstmaier JM, Wynter K, Yonkers KA, Benedetti A, Thombs BD. Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta-analysis. Int J Methods Psychiatr Res 2019; 28:e1803. [PMID: 31568624 PMCID: PMC7027670 DOI: 10.1002/mpr.1803] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 08/05/2019] [Accepted: 08/16/2019] [Indexed: 02/01/2023] Open
Abstract
OBJECTIVES A previous individual participant data meta-analysis (IPDMA) identified differences in major depression classification rates between different diagnostic interviews, controlling for depressive symptoms on the basis of the Patient Health Questionnaire-9. We aimed to determine whether similar results would be seen in a different population, using studies that administered the Edinburgh Postnatal Depression Scale (EPDS) in pregnancy or postpartum. METHODS Data accrued for an EPDS diagnostic accuracy IPDMA were analysed. Binomial generalised linear mixed models were fit to compare depression classification odds for the Mini International Neuropsychiatric Interview (MINI), Composite International Diagnostic Interview (CIDI), and Structured Clinical Interview for DSM (SCID), controlling for EPDS scores and participant characteristics. RESULTS Among fully structured interviews, the MINI (15 studies, 2,532 participants, 342 major depression cases) classified depression more often than the CIDI (3 studies, 2,948 participants, 194 major depression cases; adjusted odds ratio [aOR] = 3.72, 95% confidence interval [CI] [1.21, 11.43]). Compared with the semistructured SCID (28 studies, 7,403 participants, 1,027 major depression cases), odds with the CIDI (interaction aOR = 0.88, 95% CI [0.85, 0.92]) and MINI (interaction aOR = 0.95, 95% CI [0.92, 0.99]) increased less as EPDS scores increased. CONCLUSION Different interviews may not classify major depression equivalently.
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Affiliation(s)
- Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Dean McMillan
- Hull York Medical School and the Department of Health Sciences, University of York, York, UK
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Chen He
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Danielle B Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.,Department of Psychology, McGill University, Montréal, Québec, Canada
| | - Ankur Krishnan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.,Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Tatiana A Sanchez
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Matthew J Chiovitti
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Parash Mani Bhandari
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Dipika Neupane
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Nazanin Saadat
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Kira E Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.,Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Mahrukh Imran
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Jill T Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montréal, Québec, Canada
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, EMGO Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Simon Gilbody
- Hull York Medical School and the Department of Health Sciences, University of York, York, UK
| | - John P A Ioannidis
- Department of Medicine, Department of Health Research and Policy, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, CA, USA
| | - Lorie A Kloda
- Library, Concordia University, Montréal, Québec, Canada
| | - Scott B Patten
- Department of Community Health Sciences, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada.,Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Alberta, Canada.,Cuthbertson & Fischer Chair in Pediatric Mental Health, University of Calgary, Calgary, Alberta, Canada
| | - Ian Shrier
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada.,Department of Family Medicine, McGill University, Montréal, Québec, Canada
| | - Roy C Ziegelstein
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Liane Comeau
- International Union for Health Promotion and Health Education, École de santé publique de l'Université de Montréal, Montréal, Québec, Canada
| | - Nicholas D Mitchell
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada.,Alberta Health Services, Edmonton, Alberta, Canada
| | - Marcello Tonelli
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Simone N Vigod
- Women's College Hospital and Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Franca Aceti
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Rubén Alvarado
- Escuela de Salud Pública Dr. Salvador Allende, Faculty of Medicine, Universidad de Chile, Santiago, Chile
| | - Cosme Alvarado-Esquivel
- Laboratorio de Investigación Biomédica, Facultad de Medicina y Nutrición, Avenida Universidad, Durango, Mexico
| | - Muideen O Bakare
- Child and Adolescent Unit, Federal Neuropsychiatric Hospital, Enugu, Nigeria.,Childhood Neuropsychiatric Disorders Initiatives, Enugu, Nigeria
| | - Jacqueline Barnes
- Department of Psychological Sciences, Birkbeck, University of London, Bloomsbury London, UK
| | | | - Carola Bindt
- Department of Child and Adolescent Psychiatry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Philip M Boyce
- Discipline of Psychiatry, Westmead Clinical School, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.,Department of Psychiatry, Westmead Hospital, Sydney, New South Wales, Australia
| | - Adomas Bunevicius
- Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Tiago Castro E Couto
- School of Medicine, Universidade Federal De Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Linda H Chaudron
- Departments of Psychiatry, Pediatrics, Obstetrics and Gynecology, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA
| | - Humberto Correa
- Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Valsamma Eapen
- School of Psychiatry, University of New South Wales, Kensington, Australia.,Ingham Institute, Liverpool, New South Wales, Australia.,Sydney South West Local Health District, Liverpool, New South Wales, Australia
| | - Michelle Fernandes
- Faculty of Medicine, Department of Paediatrics, University of Southampton and Southampton Children's Hospital, Southampton, UK.,The Nuffield Department of Women's & Reproductive Health, John Radcliffe Hospital and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | | | - Jane R W Fisher
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Lluïsa Garcia-Esteve
- Perinatal Mental Health Unit CLINIC-BCN, Institut Clínic de Neurociències, Hospital Clínic, Barcelona, Spain.,Vulnerability, Psychopathology and Gender Research Group, Generalitat de Catalunya, Catalonia, Spain.,August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
| | - Lisa Giardinelli
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Nadine Helle
- Department of Child and Adolescent Psychiatry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Louise M Howard
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,South London and Maudsley NHS Foundation Trust, London, UK
| | - Dina Sami Khalifa
- Faculty of Health Sciences, Ahfad University for Women, Omdurman, Sudan.,Department of Community Medicine, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.,The Center for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jane Kohlhoff
- School of Psychiatry, University of New South Wales, Kensington, Australia.,Ingham Institute, Liverpool, New South Wales, Australia.,Karitane, Carramar, New South Wales, Australia
| | | | - Zoltán Kozinszky
- Department of Obstetrics and Gynaecology, Blekinge Hospital, Karlskrona, Sweden
| | - Lorenzo Lelli
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Angeliki A Leonardou
- First Department of Psychiatry, Women's Mental Health Clinic, Athens University Medical School, Athens, Greece
| | - Beth A Lewis
- School of Kinesiology, University of Minnesota, Minneapolis, MN, USA
| | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Impact Strategic Research Center, Deakin University, Geelong, Victoria, Australia
| | - Valentina Meuti
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Sandra Nakić Radoš
- Department of Psychology, Catholic University of Croatia, Zagreb, Croatia
| | - Purificación Navarro García
- Perinatal Mental Health Unit CLINIC-BCN, Institut Clínic de Neurociències, Hospital Clínic, Barcelona, Spain.,Psychology Service, Regidoria de Polítiques de Gènere, Ajuntament de Terrassa, Terrassa, Spain
| | - Daisuke Nishi
- Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Mental Health Policy, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Daniel Okitundu Luwa E-Andjafono
- Unité de Neuropsychologie, Département de Neurologie, Centre Neuro-psycho-pathologique, Faculté de Médecine, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo
| | | | - Tamsen J Rochat
- MRC/Developmental Pathways to Health Research Unit, School of Clinical Medicine, University of Witwatersrand, Johannesburg, South Africa.,Human and Social Development Programme, Human Sciences Research Council, Johannesburg, South Africa
| | - Heather J Rowe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Bonnie W M Siu
- Department of Psychiatry, Castle Peak Hospital, Hong Kong SAR, China
| | - Alkistis Skalkidou
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Alan Stein
- Department of Child and Adolescent Psychiatry, University of Oxford, Oxford, UK.,MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Robert C Stewart
- Department of Mental Health, College of Medicine, University of Malawi, Zomba, Malawi.,Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Kuan-Pin Su
- College of Medicine, China Medical University, Taichung, Taiwan.,Mind-Body Interface Laboratory and Department of Psychiatry, China Medical University Hospital, Taichung, Taiwan
| | | | - Meri Tadinac
- Department of Psychology, Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia
| | - S Darius Tandon
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Iva Tendais
- School of Psychology, University of Minho, Braga, Portugal
| | - Pavaani Thiagayson
- Institute of Mental Health, Hougang, Singapore.,KK Women's and Children's Hospital, Kallang, Singapore.,National Healthcare Group, Singapore
| | | | - Anna Torres-Giménez
- Perinatal Mental Health Unit CLINIC-BCN, Institut Clínic de Neurociències, Hospital Clínic, Barcelona, Spain.,Vulnerability, Psychopathology and Gender Research Group, Generalitat de Catalunya, Catalonia, Spain.,August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
| | - Thach D Tran
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Kylee Trevillion
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Katherine Turner
- Epilepsy Center-Child Neuropsychiatry Unit, ASST Santi Paolo Carlo, San Paolo Hospital, Milan, Italy
| | | | - Karen Wynter
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,School of Nursing and Midwifery, Deakin University, Melbourne, Victoria, Australia
| | - Kimberly A Yonkers
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.,Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA.,School of Epidemiology and Public Health, Yale University, New Haven, Connecticut, USA
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada.,Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, Québec, Canada.,Department of Medicine, McGill University, Montréal, Québec, Canada
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada.,Department of Psychology, McGill University, Montréal, Québec, Canada.,Department of Psychiatry, McGill University, Montréal, Québec, Canada.,Department of Medicine, McGill University, Montréal, Québec, Canada.,Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada
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20
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He C, Levis B, Riehm KE, Saadat N, Levis AW, Azar M, Rice DB, Krishnan A, Wu Y, Sun Y, Imran M, Boruff J, Cuijpers P, Gilbody S, Ioannidis JP, Kloda LA, McMillan D, Patten SB, Shrier I, Ziegelstein RC, Akena DH, Arroll B, Ayalon L, Baradaran HR, Baron M, Beraldi A, Bombardier CH, Butterworth P, Carter G, Chagas MH, Chan JCN, Cholera R, Clover K, Conwell Y, de Man-van Ginkel JM, Fann JR, Fischer FH, Fung D, Gelaye B, Goodyear-Smith F, Greeno CG, Hall BJ, Harrison PA, Härter M, Hegerl U, Hides L, Hobfoll SE, Hudson M, Hyphantis T, Inagaki M, Ismail K, Jetté N, Khamseh ME, Kiely KM, Kwan Y, Lamers F, Liu SI, Lotrakul M, Loureiro SR, Löwe B, Marsh L, McGuire A, Mohd-Sidik S, Munhoz TN, Muramatsu K, Osório FL, Patel V, Pence BW, Persoons P, Picardi A, Reuter K, Rooney AG, Santos IS, Shaaban J, Sidebottom A, Simning A, Stafford L, Sung S, Tan PLL, Turner A, van Weert HC, White J, Whooley MA, Winkley K, Yamada M, Thombs BD, Benedetti A. The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis. PSYCHOTHERAPY AND PSYCHOSOMATICS 2019; 89:25-37. [PMID: 31593971 PMCID: PMC6960351 DOI: 10.1159/000502294] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 07/19/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results. OBJECTIVE To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. METHODS Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview. RESULTS Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88). CONCLUSIONS The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.
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Affiliation(s)
- Chen He
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Kira E. Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Nazanin Saadat
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Alexander W. Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Danielle B. Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Psychology, McGill University, Montréal, Québec, Canada
| | - Ankur Krishnan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Mahrukh Imran
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Jill Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, Quebec, Canada
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, the Netherlands
| | - Simon Gilbody
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - John P.A. Ioannidis
- Department of Medicine, Department of Health Research and Policy, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, California, USA
| | | | - Dean McMillan
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - Scott B. Patten
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Ian Shrier
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Roy C. Ziegelstein
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Dickens H. Akena
- Department of Psychiatry, Makerere University College of Health Sciences, Kampala, Uganda
| | - Bruce Arroll
- Department of General Practice and Primary Health Care, University of Auckland, New Zealand
| | - Liat Ayalon
- Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel
| | - Hamid R. Baradaran
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
- Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Scotland, UK
| | - Murray Baron
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
| | - Anna Beraldi
- Kbo-Lech-Mangfall-Klinik Garmisch-Partenkirchen, Klinik für Psychiatrie, Psychotherapie & Psychosomatik, Lehrkrankenhaus der Technischen Universität München, Munich, Germany
| | - Charles H. Bombardier
- Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA
| | - Peter Butterworth
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, The Australian National University, Canberra, Australia
- Melbourne Institute of Applied Economic and Social Research, University of Melbourne, Melbourne, Australia
| | - Gregory Carter
- Centre for Brain and Mental Health Research, University of Newcastle, New South Wales, Australia
| | - Marcos H. Chagas
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Juliana C. N. Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Asia Diabetes Foundation, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, Hong Kong Special Administrative Region, China
| | - Rushina Cholera
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA
| | - Kerrie Clover
- Centre for Brain and Mental Health Research, University of Newcastle, New South Wales, Australia
- Psycho-Oncology Service, Calvary Mater Newcastle, New South Wales, Australia
| | - Yeates Conwell
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York, USA
| | | | - Jesse R. Fann
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
| | - Felix H. Fischer
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Germany
| | - Daniel Fung
- Department of Child & Adolescent Psychiatry, Institute of Mental Health, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | | | - Catherine G. Greeno
- School of Social Work, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Brian J. Hall
- Global and Community Mental Health Research Group, Department of Psychology, Faculty of Social Sciences, University of Macau, Macau Special Administrative Region, China
- Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - Martin Härter
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Hegerl
- Department of Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt, German Depression Foundation, Frankfurt, Germany
| | - Leanne Hides
- School of Psychology, University of Queensland, Brisbane, Queensland, Australia
| | - Stevan E. Hobfoll
- STAR-Stress, Anxiety, and Resilience Consultants, Chicago, Illinois, USA
| | - Marie Hudson
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
| | - Thomas Hyphantis
- Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Masatoshi Inagaki
- Department of Psychiatry, Faculty of Medicine, Shimane University, Shimane, Japan
| | - Khalida Ismail
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neurosciences, King's College London Weston Education Centre, London, UK
| | - Nathalie Jetté
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mohammad E. Khamseh
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
| | - Kim M. Kiely
- School of Psychology, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
| | - Yunxin Kwan
- Department of Psychological Medicine, Tan Tock Seng Hospital, Singapore
| | - Femke Lamers
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Shen-Ing Liu
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore
- Department of Psychiatry, Mackay Memorial Hospital, Taipei, Taiwan
- Department of Medical Research, Mackay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, Mackay Medical College, Taipei, Taiwan
| | - Manote Lotrakul
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Sonia R. Loureiro
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Bernd Löwe
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Laura Marsh
- Baylor College of Medicine, Houston and Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
| | - Anthony McGuire
- Department of Nursing, St. Joseph's College, Standish, Maine, USA
| | - Sherina Mohd-Sidik
- Cancer Resource & Education Centre, and Department of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Tiago N. Munhoz
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Kumiko Muramatsu
- Department of Clinical Psychology, Graduate School of Niigata Seiryo University, Niigata, Japan
| | - Flávia L. Osório
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
- National Institute of Science and Technology, Translational Medicine, Ribeirão Preto, Brazil
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Brian W. Pence
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Philippe Persoons
- Department of Adult Psychiatry, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Angelo Picardi
- Centre for Behavioural Sciences and Mental Health, Italian National Institute of Health, Rome, Italy
| | - Katrin Reuter
- Practice for Psychotherapy and Psycho-oncology, Freiburg, Germany
| | - Alasdair G. Rooney
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburg, Edinburgh, Scotland, UK
| | - Iná S. Santos
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Juwita Shaaban
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | | | - Adam Simning
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York, USA
| | - Lesley Stafford
- Centre for Women's Mental Health, Royal Women's Hospital, Parkville, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Australia
| | - Sharon Sung
- Department of Child & Adolescent Psychiatry, Institute of Mental Health, Singapore
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore
| | | | - Alyna Turner
- School of Medicine and Public Health, University of Newcastle, New South Wales, Newcastle, Australia
- IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Henk C. van Weert
- Department of General Practice, Amsterdam Institute for General Practice and Public Health, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | | | - Mary A. Whooley
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
- Department of Medicine, Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Kirsty Winkley
- Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, UK
| | - Mitsuhiko Yamada
- Department of Neuropsychopharmacology, National Institute of Mental Health, National Center of Neurology and Psychiatry, Ogawa-Higashi, Kodaira, Tokyo, Japan
| | - Brett D. Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Psychology, McGill University, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, Québec, Canada
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21
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Petersen MW, Schröder A, Jørgensen T, Ørnbøl E, Dantoft TM, Eliasen M, Fink P. RIFD - A brief clinical research interview for functional somatic disorders and health anxiety. J Psychosom Res 2019; 122:104-111. [PMID: 30955913 DOI: 10.1016/j.jpsychores.2019.04.001] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 04/01/2019] [Accepted: 04/01/2019] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Epidemiological research in functional somatic disorders such as irritable bowel syndrome, fibromyalgia, chronic fatigue syndrome, and bodily distress syndrome and related conditions such as health (illness) anxiety is often based on self-reported questionnaires or layman interviews. This study presents and describes the Research Interview for Functional somatic Disorders (RIFD) and provides first data regarding RIFD's ability to identify cases with functional somatic disorders and health anxiety in a two-phase design following self-reported symptom questionnaires. METHODS RIFD was performed by phone by trained family physicians on a stratified subsample of 1590 adults from a Danish general population cohort (n = 7493). Criterion validity was tested in a small preliminary test including 25 RIFD participants using Schedules of Clinical Assessment in Neuropsychiatry (SCAN), performed by a specialist in functional somatic disorders, as gold standard. Interrater reliability between interviewers was tested in 15 participants. RESULTS Compared with the comprehensive SCAN, preparation and conduction of RIFD were feasible and prompt. RIFD was well accepted by both interviewers and interviewees. RIFD identified cases with significantly more impairment than identified non-cases. Based on small preliminary tests, RIFD showed promising psychometric properties. CONCLUSION RIFD was a feasible, well-accepted and promising instrument for use in large epidemiological studies. However, larger studies investigating its psychometric properties are needed.
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Affiliation(s)
- Marie Weinreich Petersen
- The Research Clinic for Functional Disorders and Psychosomatics, Aarhus University Hospital, Aarhus, Denmark.
| | - Andreas Schröder
- The Research Clinic for Functional Disorders and Psychosomatics, Aarhus University Hospital, Aarhus, Denmark
| | - Torben Jørgensen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark; Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Faculty of Medicine, Aalborg University, Aalborg, Denmark
| | - Eva Ørnbøl
- The Research Clinic for Functional Disorders and Psychosomatics, Aarhus University Hospital, Aarhus, Denmark
| | - Thomas Meinertz Dantoft
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Marie Eliasen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Per Fink
- The Research Clinic for Functional Disorders and Psychosomatics, Aarhus University Hospital, Aarhus, Denmark
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22
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Levis B, Benedetti A, Thombs BD. Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis. BMJ 2019; 365:l1476. [PMID: 30967483 PMCID: PMC6454318 DOI: 10.1136/bmj.l1476] [Citation(s) in RCA: 912] [Impact Index Per Article: 152.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/13/2019] [Indexed: 12/12/2022]
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.
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Affiliation(s)
- Brooke Levis
- Lady Davis Institute for Medical Research of the Jewish General Hospital and McGill University, Montréal, Québec, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Brett D Thombs
- Lady Davis Institute for Medical Research of the Jewish General Hospital and McGill University, Montréal, Québec, Canada
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23
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Benedetti A, Wu Y, Levis B, Wilchesky M, Boruff J, Ioannidis JPA, Patten SB, Cuijpers P, Shrier I, Gilbody S, Ismail Z, McMillan D, Mitchell N, Ziegelstein RC, Thombs BD. Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis. BMJ Open 2018; 8:e026598. [PMID: 30518594 PMCID: PMC6286470 DOI: 10.1136/bmjopen-2018-026598] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
INTRODUCTION The 30-item Geriatric Depression Scale (GDS-30) and the shorter GDS-15, GDS-5 and GDS-4 are recommended as depression screening tools for elderly individuals. Existing meta-analyses on the diagnostic accuracy of the GDS have not been able to conduct subgroup analyses, have included patients already identified as depressed who would not be screened in practice and have not accounted for possible bias due to selective reporting of results from only better-performing cut-offs in primary studies. Individual participant data meta-analysis (IPDMA), which involves a standard systematic review, then a synthesis of individual participant data, rather than summary results, could address these limitations. The objective of our IPDMA is to generate accuracy estimates to detect major depression for all possible cut-offs of each version of the GDS among studies using different reference standards, separately and among participant subgroups based on age, sex, dementia diagnosis and care settings. In addition, we will use a modelling approach to generate individual participant probabilities for major depression based on GDS scores (rather than a dichotomous cut-off) and participant characteristics (eg, sex, age, dementia status, care setting). METHODS AND ANALYSIS Individual participant data comparing GDS scores to a major depression diagnosis based on a validated structured or semistructured diagnostic interview will be sought via a systematic review. Data sources will include Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO and Web of Science. Bivariate random-effects models will be used to estimate diagnostic accuracy parameters for each cut-off of the different versions of the GDS. Prespecified subgroup analyses will be conducted. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. ETHICS AND DISSEMINATION The findings of this study will be of interest to stakeholders involved in research, clinical practice and policy. PROSPERO REGISTRATION NUMBER CRD42018104329.
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Affiliation(s)
- Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, Quebec, Canada
- Department of Medicine, McGill University, Montreal, QC, Canada
| | - Yin Wu
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Brooke Levis
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Machelle Wilchesky
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Family Medicine, McGill University, Montreal, Quebec, Canada
| | - Jill Boruff
- Schulich Library of Science and Engineering, McGill University, Montreal, Quebec, Canada
| | - John P A Ioannidis
- Stanford Prevention Research Center, Department of Medicine, and Department of Health Research and Policy, Stanford School of Medicine, Stanford, California, USA
- Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, USA
| | - Scott B Patten
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, University of Calgary, Calgary, Canada
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology and Amsterdam Public Health research institute, VU University Amsterdam, Amsterdam, The Netherlands
| | - Ian Shrier
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Simon Gilbody
- Hull York Medical School and Department of Health Sciences, The University of York, York, UK
| | - Zahinoor Ismail
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Dean McMillan
- Hull York Medical School and Department of Health Sciences, The University of York, York, UK
| | | | - Roy C Ziegelstein
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Brett D Thombs
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Department of Medicine, McGill University, Montreal, QC, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Department of Psychology, McGill University, Montreal, Canada
- Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada
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Levis B, Benedetti A, Riehm KE, Saadat N, Levis AW, Azar M, Rice DB, Chiovitti MJ, Sanchez TA, Cuijpers P, Gilbody S, Ioannidis JPA, Kloda LA, McMillan D, Patten SB, Shrier I, Steele RJ, Ziegelstein RC, Akena DH, Arroll B, Ayalon L, Baradaran HR, Baron M, Beraldi A, Bombardier CH, Butterworth P, Carter G, Chagas MH, Chan JCN, Cholera R, Chowdhary N, Clover K, Conwell Y, de Man-van Ginkel JM, Delgadillo J, Fann JR, Fischer FH, Fischler B, Fung D, Gelaye B, Goodyear-Smith F, Greeno CG, Hall BJ, Hambridge J, Harrison PA, Hegerl U, Hides L, Hobfoll SE, Hudson M, Hyphantis T, Inagaki M, Isamail K, Jetté N, Khamseh ME, Kiely KM, Lamers F, Liu SI, Lotrakul M, Loureiro SR, Löwe B, Marsh L, McGuire A, Sidik SM, Munhoz TN, Muramatsu K, Osório FL, Patel V, Pence BW, Persoons P, Picardi A, Rooney AG, Santos IS, Shaaban J, Sidebottom A, Simning A, Stafford L, Sung S, Tan PLL, Turner A, van der Feltz-Cornelis CM, van Weert HC, Vöhringer PA, White J, Whooley MA, Winkley K, Yamada M, Zhang Y, Thombs BD. Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews. Br J Psychiatry 2018; 212:377-385. [PMID: 29717691 PMCID: PMC6415695 DOI: 10.1192/bjp.2018.54] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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 Institute and Pfizer. Pfizer was the original sponsor of the development of the PHQ-9, which is now in the public domain. Dr Chan is a steering committee member or consultant of Astra Zeneca, Bayer, Lilly, MSD and Pfizer. She has received sponsorships and honorarium for giving lectures and providing consultancy and her affiliated institution has received research grants from these companies. Dr Hegerl declares that within the past 3 years, he was an advisory board member for Lundbeck, Servier and Otsuka Pharma; a consultant for Bayer Pharma; and a speaker for Medice Arzneimittel, Novartis, and Roche Pharma, all outside the submitted work. Dr Inagaki declares that he has received grants from Novartis Pharma, lecture fees from Pfizer, Mochida, Shionogi, Sumitomo Dainippon Pharma, Daiichi-Sankyo, Meiji Seika and Takeda, and royalties from Nippon Hyoron Sha, Nanzando, Seiwa Shoten, Igaku-shoin and Technomics, all outside of the submitted work. Dr Yamada reports personal fees from Meiji Seika Pharma Co., Ltd., MSD K.K., Asahi Kasei Pharma Corporation, Seishin Shobo, Seiwa Shoten Co., Ltd., Igaku-shoin Ltd., Chugai Igakusha and Sentan Igakusha, all outside the submitted work. All other authors declare no competing interests. No funder had any role in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication.
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Affiliation(s)
- Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Andrea Benedetti
- Centre for Outcomes Research & Evaluation, Research Institute of the McGill University Health Centre, 5252 boul de Maisonneuve, Office/Workstation # 3D.59, Montréal, QC, H4A 3S5, Canada
| | - Kira E. Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Nazanin Saadat
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Alexander W. Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Danielle B. Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Matthew J. Chiovitti
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Tatiana A. Sanchez
- Lady Davis Institute for Medical Research, Jewish General Hospital, 4333 Chemin de la Côte-Sainte-Catherine, Montréal, QC, H3T 1E4, Canada
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands
| | - Simon Gilbody
- Mental Health and Addiction Research Group, Department of Health Sciences and Hull York Medical School, University of York, Heslington YO10 5DD, United Kingdom
| | | | - Lorie A. Kloda
- Concordia University, 1455, boul. de Maisonneuve Ouest, FB-802, Montréal, QC, H3G 1M8, Canada
| | - Dean McMillan
- Mental Health and Addiction Research Group, Department of Health Sciences and Hull York Medical School, University of York, Heslington YO10 5DD, United Kingdom
| | - Scott B. Patten
- Department of Community Health Sciences, 3rd Floor, TRW Building, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
| | - Ian Shrier
- Centre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine Rd, Montréal, QC, H3T 1E2, Canada
| | - Russell J. Steele
- Department of Mathematics and Statistics, McGill University, 805 Rue Sherbrooke O., Montreal, QC, H3A 0B9, Canada
| | - Roy C. Ziegelstein
- Johns Hopkins University School of Medicine, Miller Research Building, 733 N. Broadway, Suite 115, Baltimore, MD, 21205, USA
| | - Dickens H. Akena
- Department of Psychiatry, Makerere University College of Health Sciences, P.O.Box 7062 Kampala, Uganda
| | - Bruce Arroll
- Department of General Practice and Primary Health Care, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | - Liat Ayalon
- Louis and Gabi Weisfeld School of Social Work, Ramat Gan, Bar Ilan University, 52900, Israel
| | - Hamid R. Baradaran
- Endocrinology and Metabolism Research Institute, Shariati Hospital Complex, North Kargar Avenue, Tehran, 14114-13137, Iran
| | - Murray Baron
- Jewish General Hospital, Suite A 725, 3755 Cote St Catherine Rd, Montréal, QC, H3T 1E2, Canada
| | - Anna Beraldi
- Auenstraße 6, D-82467 Garmisch-Partenkirchen, Germany
| | - Charles H. Bombardier
- Division of Clinical and Neuropsychology, Department of Rehabilitation Medicine, University of Washington, Box 359612, Harborview Medical Center, 325 9th Avenue, Seattle, WA, 98104, USA
| | - Peter Butterworth
- Centre for Mental Health, Level 4, 207 Bouverie St, The University of Melbourne, Victoria 3010, Australia
| | - Gregory Carter
- Locked Bag #7, Hunter Region Mail Centre, NSW 2310, Australia
| | - Marcos H. Chagas
- University of São Paulo, Av. Bandeirantes, 3900, 14048-900-Ribeirão Preto, SP, Brazil
| | - Juliana C. N. Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Lui Che Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, Hong Kong
| | - Rushina Cholera
- UNC School of Medicine, Department of Pediatrics, CB# 7593, Chapel Hill, NC, 27599-7593, USA
| | - Neerja Chowdhary
- World Health Organization. Avenue Appia 20, 1211 Genève 27, Switzerland
| | - Kerrie Clover
- Psycho-oncology #51, Calvary Mater Newcastle, Platt St, Waratah NSW 2301, Australia
| | - Yeates Conwell
- University of Rochester Medical Center, 300 Crittenden Blvd., Rochester, NY, 14642, USA
| | - Janneke M. de Man-van Ginkel
- University Medical Center Utrecht, Internal mail no Str. 6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Jaime Delgadillo
- Clinical Psychology Unit, University of Sheffield, Cathedral Court, Floor F, 1 Vicar Lane, Sheffield, S1 1HD, United Kingdom
| | - Jesse R. Fann
- Department of Psychiatry & Behavioral Sciences, Univerisity of Washington, Box 356560, Seattle, WA 98195
| | - Felix H. Fischer
- Medizinische Klinik mit Schwerpunkt Psychosomatik, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10098 Berlin, Germany
| | | | - Daniel Fung
- Institute of Mental Health, 10 Buangkok View, 539747, Singapore
| | - Bizu Gelaye
- Department of Epidemiology, 677 Huntington Ave, Room 505F, Boston, MA, 02115, USA
| | - Felicity Goodyear-Smith
- Department of General Practice & Primary Health Care, University of Auckland, PB 92019, Auckland, 1142, New Zealand
| | - Catherine G. Greeno
- 2204 Cathedral of Learning, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA
| | - Brian J. Hall
- Department of Psychology, Faculty of Social Sciences, Humanities and Social Sciences Building E21-3040, University of Macau, E21 Avenida da Universidade, Taipa, Macau, China
| | | | - Patricia A. Harrison
- City of Minneapolis Health Department, 250 S. Fourth St., Room 510, Minneapolis, MN 55415, USA
| | - Ulrich Hegerl
- University of Leipzig, Department of Psychiatry and Psychotherapy, Semmelweisstrasse 10, 04103 Leipzig, Germany
| | - Leanne Hides
- School of Psychology, University of Queensland, St Lucia, Brisbane, Queensland, 4072, Australia
| | - Stevan E. Hobfoll
- 1645 W. Jackson Blvd, Suite 400, Dept of Behavioral Sciences, Rush University Medical Center, Chicago, IL, 60614, USA
| | - Marie Hudson
- Jewish General Hospital and Lady Davis Research Institute, 3755 Côte Ste-Catherine Rd, Room A725, Montréal, QC, H3T 1E2, Canada
| | - Thomas Hyphantis
- Department of Psychiatry, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina 451 10, Greece
| | - Masatoshi Inagaki
- Department of Neuropsychiatry, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Khalida Isamail
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 10 Cutcombe Road, London, SE5 9AF, United Kingdom
| | - Nathalie Jetté
- Department of Clinical Neurosciences, University of Calgary, 1403 29th Street NW, T2N 2T9, Canada
| | - Mohammad E. Khamseh
- Endocrinology and Metabolism Research Institute, Shariati Hospital Complex, North Kargar Avenue, Tehran, 14114-13137, Iran
| | - Kim M. Kiely
- Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Building 54 Mills Road, ACT 2601, Australia
| | - Femke Lamers
- VU University Medical Center, Department Psychiatry, A.J. Ernststraat 1187, room D2.14, 1081 HL Amsterdam, The Netherlands
| | - Shen-Ing Liu
- Department of Psychiatry, Mackay Memorial Hospital, No. 92, Section 2, Chung-Shan North Rd, Taipei, Taiwan
| | - Manote Lotrakul
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
| | - Sonia R. Loureiro
- Rua Tenente Catão Roxo, 2650, CEP 14051-140, Ribeirão Preto, SP, Brazil
| | - Bernd Löwe
- Universitätsklinikum Hamburg-Eppendorf, Institut und Poliklinik für Psychosomatische Medizin und Psychotherapie, Martinistr. 52, Gebäude O25, 20246 Hamburg, Germany
| | - Laura Marsh
- Mental Health Care Line, Michael E DeBakey VA Medical Center, Departments of Psychiatry and Neurology, Baylor College of Medicine, 2002 Holcombe Blvd, Houston, TX, 77030, USA
| | | | - Sherina Mohd Sidik
- Cancer Resource & Education Centre / Department of Psychiatry, Faculty of Medicine & Health Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
| | - Tiago N. Munhoz
- Depto Medicina Social, Programa Pós-graduação Epidemiologia, Universidade Federal de Pelotas, Rua Marechal Deodoro 1160, 3º piso, 96020-220 - Pelotas, RS, Brasil
| | - Kumiko Muramatsu
- Department of Clinical Psychology, Graduate School of Niigata Seiryo University, 1-5939, Suidocho, Chuo-ku, Niigata 951-8121, Japan
| | - Flávia L. Osório
- Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto - USP. Avenida dos Bandeirantes 3900- 3 andar- alaC. Ribeirão Preto - São Paulo - Brasil - CEP 14049-900
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, USA 02119, USA
| | - Brian W. Pence
- Department of Epidemiology, UNC-Chapel Hill, McGavran-Greenberg 2103C, CB#7435, 135 Dauer Dr, Chapel Hill NC 27599-7435, USA
| | - Philippe Persoons
- Katholieke Universiteit Leuven, Department of Neurosciences, Research Group Psychiatry, University Psychiatric Center KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Angelo Picardi
- Italian National Institute of Health, Centre for Behavioural Sciences and Mental Health, Viale Regina Elena 299, 00161 Rome, Italy
| | - Alasdair G. Rooney
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital Edinburgh, EH10 5HF, Scotland
| | - Iná S. Santos
- Depto Medicina Social, Programa Pós-graduação Epidemiologia, Universidade Federal de Pelotas, Rua Marechal Deodoro 1160, 3º piso 96020-220 - Pelotas, RS, Brasil
| | - Juwita Shaaban
- School of Medical Science, Health Campus Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Abbey Sidebottom
- Allina Health, 800 E 28th Street, MR 15521, Minneapolis, MN 55407-3799, USA
| | - Adam Simning
- Strong Behavioral Health, 300 Crittenden Blvd, Rochester, NY, 14642, USA
| | - Lesley Stafford
- Centre for Women’s Mental Health, The Royal Women’s Hospital, Locked Bag 300, Parkville Victoria 3052, Australia
| | - Sharon Sung
- Office of Clinical Sciences, Duke-NUS Medical School, 20 College Road, Level 6, 169856, Singapore
| | | | - Alyna Turner
- School of Medicine and Public Health, Faculty of Health, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia
| | | | - Henk C. van Weert
- Dpt. General Practice, Academic Medical Centre Amsterdam, Meibergdree 9, 1105 AZ Amsterdam, The Netherlands
| | | | - Jennifer White
- School of Primary and Allied Health Care, Faculty of Medicine, Nursing & Health Sciences, Monash University, Kingston Centre, 400 Warrigal Rd, Cheltenham Victoria 3192, Australia
| | - Mary A. Whooley
- Department of Veterans Affairs Medical Center, 4150 Clement Street (111A1), San Francisco, CA 94121, USA
| | - Kirsty Winkley
- King’s College London & Institute of Psychiatry, Psychology & Neuroscience, Weston Education Centre, London SE5 9RS, UK
| | - Mitsuhiko Yamada
- National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553, Japan
| | - Yuying Zhang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, 9/F Lui Che Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, Hong Kong
| | - Brett D. Thombs
- Room 302, Institute of Community and Family Psychiatry, Jewish General Hospital, 4333 Cote Ste Catherine Road, Montréal, QC, H3T 1E4, Canada
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A population-based examination of the co-occurrence and functional correlates of chronic pain and generalized anxiety disorder. J Anxiety Disord 2018; 56:74-80. [PMID: 29703452 DOI: 10.1016/j.janxdis.2018.04.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Revised: 04/12/2018] [Accepted: 04/13/2018] [Indexed: 11/23/2022]
Abstract
OBJECTIVES This study aimed to: 1) Establish the prevalence of co-occurring chronic pain conditions (i.e., arthritis, back pain, and migraines) and generalized anxiety disorder (GAD), and 2) Examine levels of pain severity, disability, and work absenteeism among comorbid chronic pain conditions and GAD. METHODS Data were analyzed from the 2012 Canadian Community Health Survey-Mental Health (CCHS-MH; N = 25,113). Chi-square analyses assessed whether significant differences existed in pain severity in those with comorbid chronic pain and GAD versus pain conditions alone. Multivariable regressions examined the association between comorbid chronic pain and GAD with functional outcomes. RESULTS The weighted prevalence of GAD among those with chronic migraines, arthritis and back pain was 6.9%, 4.4%, and 6.1% respectively, compared to 2.6% among the entire sample. Severity of pain was increased among those with comorbid chronic pain and GAD compared with chronic pain conditions alone. Migraine was the only pain condition that was significantly associated with disability in our most stringent adjustment model. After controlling for other psychiatric disorders, comorbid GAD and chronic pain was not associated with work absenteeism. CONCLUSION Chronic pain is common among the Canadian population and is associated with substantial disability. Results demonstrated that GAD is prevalent among chronic pain conditions, and comorbidity is associated with greater pain severity. GAD in the context of migraines, in particular, may represent an important treatment target to reduce disability.
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Dingoyan D, Mösko M, Imamoğlu Y, von Wolff A, Strehle J, Wittchen H, Schulz H, Koch‐Gromus U, Heinz A, Kluge U. Development and feasibility of the computerized Turkish edition of the Composite International Diagnostic Interview [DIA-X/CIDI version 2.8(TR)]. Int J Methods Psychiatr Res 2017; 26:e1533. [PMID: 27766697 PMCID: PMC6877255 DOI: 10.1002/mpr.1533] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2015] [Revised: 05/17/2016] [Accepted: 06/24/2016] [Indexed: 11/11/2022] Open
Abstract
The Composite International Diagnostic Interview (CIDI), which has been widely applied in epidemiological research, is a standardized, clinically structured interview that enables the diagnosis of mental disorders based on DSM and ICD criteria. The computerized DIA-X CIDI Version 2.8 investigated in this study is an adaptation of the German DIA-X/Munich CIDI, which was translated in a multi-step process into Turkish and used to survey the prevalence of mental disorders in individuals with Turkish migration backgrounds in Germany (N = 662). The bilingual lay interviewers were intensively trained and supervised during the data collection. The survey was accompanied by further quality measures, including editing and documenting. To investigate the instrument's feasibility, quality criteria were used based on the following data sources: (1) socio-demographic sample characteristics; (2) interviewer assessments and (3) quantitative measures (interview duration, non-response items, error items). The results indicated that quality differences between the German and Turkish DIA-X/CIDI are associated with age, educational level and socio-economic status and not with the CIDI version itself. In short, the Turkish DIA-X/CIDI Version 2.8 has comparatively good quality and feasibility relative to its German counterpart.
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Affiliation(s)
- Demet Dingoyan
- Department of Medical PsychologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Mike Mösko
- Department of Medical PsychologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Yadigar Imamoğlu
- Clinic for Psychiatry and PsychotherapyCharité – University Medicine BerlinBerlinGermany
| | - Alessa von Wolff
- Department of Medical PsychologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Jens Strehle
- Institute of Clinical Psychology and PsychotherapyDresden University of TechnologyDresdenGermany
| | - Hans‐Ulrich Wittchen
- Institute of Clinical Psychology and PsychotherapyDresden University of TechnologyDresdenGermany
| | - Holger Schulz
- Department of Medical PsychologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Uwe Koch‐Gromus
- Department of Medical PsychologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Andreas Heinz
- Clinic for Psychiatry and PsychotherapyCharité – University Medicine BerlinBerlinGermany
| | - Ulrike Kluge
- Clinic for Psychiatry and PsychotherapyCharité – University Medicine BerlinBerlinGermany
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Nielsen MG, Ørnbøl E, Bech P, Vestergaard M, Christensen KS. The criterion validity of the web-based Major Depression Inventory when used on clinical suspicion of depression in primary care. Clin Epidemiol 2017; 9:355-365. [PMID: 28740432 PMCID: PMC5505538 DOI: 10.2147/clep.s132913] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background The Major Depression Inventory (MDI) is widely used in Danish general practice as a screening tool to assess depression in symptomatic patients. Nevertheless, no validation studies of the MDI have been performed. The aim of this study was to validate the web-based version of the MDI against a fully structured telephone interview in a population selected on clinical suspicion of depression (ie, presence of two or three core symptoms of depression) in general practice. Materials and methods General practitioners (GPs) invited consecutive persons suspected of depression to complete the web-based MDI in a primary care setting. The validation was based on the Munich-Composite International Diagnostic Interview (M-CIDI) by phone. GPs in the 22 practices in our study included 132 persons suspected of depression. Depression was rated as yes/no according to the MDI and M-CIDI. Sensitivity, specificity, and positive predictive value of the International Classification of Diseases, Tenth Revision (ICD-10) algorithms of the MDI were examined. Results According to the M-CIDI interview, 87.9% of the included population was depressed and 64.4% was severely depressed. According to the MDI scale, 59.1% of the population was depressed and 31.8% was severely depressed. The sensitivity of the MDI for depression was 62.1% (95% confidence interval [95% CI]: 52.6–70.9) and the specificity was 62.5% (95% CI: 35.4–84.8). The sensitivity for severe depression was 42.2% (95% CI: 30.6–52.4) and the specificity was 85.1% (95% CI: 71.7–93.8). The receiver operating curve showed an area under the curve of 0.66 (95% CI: 0.52–0.81) for any depression and of 0.72 (95% CI: 0.63–0.81) for severe depression. Conclusion The MDI is a conservative instrument for diagnosing ICD-10 depression in a clinical setting compared to the M-CIDI interview. Only a few false-positive diagnoses were identified when the MDI was used on clinical suspicion of depression.
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Affiliation(s)
| | - Eva Ørnbøl
- Research Clinic for Functional Disorders and Psychosomatics, Aarhus University Hospital, Aarhus
| | - Per Bech
- Psychiatric Research Unit, Psychiatric Centre North Zealand, University Hospital of Copenhagen, Hillerød
| | - Mogens Vestergaard
- Research Unit for General Practice, Department of Public Health, Aarhus University.,Section for General Medical Practice, Department of Public Health, Aarhus University, Aarhus, Denmark
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Gender Differences in Depressive Symptoms in Thai Individuals with Depressed Mood and/or Anhedonia: A Differential Item Functioning Approach. Int J Ment Health Addict 2016. [DOI: 10.1007/s11469-016-9720-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Clemente AS, Diniz BS, Nicolato R, Kapczinski FP, Soares JC, Firmo JO, Castro-Costa É. Bipolar disorder prevalence: a systematic review and meta-analysis of the literature. ACTA ACUST UNITED AC 2015; 37:155-61. [PMID: 25946396 DOI: 10.1590/1516-4446-2012-1693] [Citation(s) in RCA: 130] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2015] [Accepted: 02/26/2015] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Bipolar disorder (BD) is common in clinical psychiatric practice, and several studies have estimated its prevalence to range from 0.5 to 5% in community-based samples. However, no systematic review and meta-analysis of the prevalence of BD type 1 and type 2 has been published in the literature. We carried out a systematic review and meta-analysis of the lifetime and 1-year prevalence of BD type 1 and type 2 and assessed whether the prevalence of BD changed according to the diagnostic criteria adopted (DSM-III, DSM-III-R vs. DSM-IV). METHODS We searched MEDLINE, Scopus, Web of Science, PsycINFO, and the reference lists of identified studies. The analyses included 25 population- or community-based studies and 276,221 participants. RESULTS The pooled lifetime prevalence of BD type 1 was 1.06% (95% confidence interval [95%CI] 0.81-1.31) and that of BD type 2 was 1.57% (95%CI 1.15-1.99). The pooled 1-year prevalence was 0.71% (95%CI 0.56-0.86) for BD type 1 and 0.50% (95%CI 0.35-0.64) for BD type 2. Subgroup analysis showed a significantly higher lifetime prevalence of BD type 1 according to the DSM-IV criteria compared to the DSM-III and DSM-IIIR criteria (p < 0.001). CONCLUSION This meta-analysis confirms that estimates of BD type 1 and type 2 prevalence are low in the general population. The increase in prevalence from DSM-III and DSM-III-R to DSM-IV may reflect different factors, such as minor changes in diagnostic operationalization, use of different assessment instruments, or even a genuine increase in the prevalence of BD.
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Affiliation(s)
| | - Breno S Diniz
- Department of Mental Health, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Rodrigo Nicolato
- Department of Mental Health, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Flavio P Kapczinski
- Molecular Psychiatry Laboratory, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Jair C Soares
- Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, Texas Health and Science University, Houston, TX, USA
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Topitz A, Benda N, Saumer G, Friedrich F, König D, Soulier N, Freidl M. [Prevalence and recognition of depression among inpatients of non-psychiatric hospital departments]. NEUROPSYCHIATRIE : KLINIK, DIAGNOSTIK, THERAPIE UND REHABILITATION : ORGAN DER GESELLSCHAFT OSTERREICHISCHER NERVENARZTE UND PSYCHIATER 2015; 29:63-70. [PMID: 25868683 DOI: 10.1007/s40211-015-0145-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2015] [Accepted: 03/17/2015] [Indexed: 06/04/2023]
Abstract
PURPOSE The purpose of this study is to compare the prevalence of depression among different types of hospital departments. Furthermore, it compares different methods for assessment of its recognition by non-psychiatric physicians. METHODS 993 inpatients of internal, surgical, gynecological and physical rehabilitation wards of community hospitals were interviewed by research psychiatrists using the Clinical Interview Schedule. Ward physicians were asked to fill in a short questionnaire in order to assess whether they could correctly identify patients with mental illnesses. In addition, routine discharge diagnoses were assessed. RESULTS Of the total sample, 13.3 % suffered from depression. Depression was most frequent on physical rehabilitation units (24.2 %), followed by surgical (9.8 %) and internal (9.5 %) wards. On gynecological wards, prevalence of depression was lowest (8.7 %). Of those suffering from depression, 45.7 % were identified as mentally ill by non-psychiatric ward physicians when using questionnaire data. Only 21.0 % of the depressed received a psychiatric discharge diagnosis, which equals less than half of those identified by questionnaire. RESULTS Of the total sample, 13.3 % of patients suffered from depression. Depression was most frequent in physical rehabilitation units (24.2 %), followed by surgical (9.8 %) and internal (9.5 %) wards. In gynecological wards, the prevalence of depression was the lowest (8.7 %). Of those suffering from depression, 45.7 % were identified as mentally ill by non-psychiatric ward physicians when using questionnaire data. Only 21.0 % of the depressed received a psychiatric discharge diagnosis, less than half of those identified by the questionnaire. CONCLUSIONS Depression is very common among inpatients of physical hospital departments. Unfortunately, depression is frequently overlooked in everyday clinical work. Routine discharge diagnoses give only very limited information about how often ward physicians recognize mental disorders. Furthermore, hospital discharge diagnoses should not be used for planning mental health services.
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Affiliation(s)
- Andrea Topitz
- Klinische Abteilung für Sozialpsychiatrie, Univ.-Klinik für Psychiatrie und Psychotherapie Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich,
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Maske UE, Busch MA, Jacobi F, Beesdo-Baum K, Seiffert I, Wittchen HU, Riedel-Heller S, Hapke U. Current major depressive syndrome measured with the Patient Health Questionnaire-9 (PHQ-9) and the Composite International Diagnostic Interview (CIDI): results from a cross-sectional population-based study of adults in Germany. BMC Psychiatry 2015; 15:77. [PMID: 25884294 PMCID: PMC4394554 DOI: 10.1186/s12888-015-0463-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 03/30/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Prevalence estimates for depression vary considerably by the type of assessment instrument, and there is limited information on their overlap in population-based samples. Our aim was to compare the Patient Health Questionnaire-9 (PHQ-9) with the Composite International Diagnostic Interview (CIDI) as measures for current major depressive syndrome (MDS) in a large population-based sample. METHODS Data derived from the mental health module of the nationwide cross-sectional German Health Interview and Examination Survey for Adults (DEGS1-MH) (n = 4483; age 18-79 years). MDS in the past two weeks was assessed (a) using the PHQ-9 diagnostic algorithm (PHQ-MDS) and (b) based on CIDI information about the latest symptom occurrence (recency) (CIDI-MDS). Prevalences, overall concordance and percentages of overlap of both MDS measures were determined. Prevalences of affirmed PHQ-9 depression symptoms and the mean and median PHQ-9 sum scores were analyzed per measure. RESULTS Prevalence of current MDS was 2.7% (95% CI: 2.0-3.6) for PHQ-MDS and 3.9% (95% CI: 3.1-5.0) for CIDI-MDS. The overall agreement between both measures was moderate (kappa: 0.43). Of all the participants, 1.5% (95% CI: 1.0-2.2) were classified as MDS cases by both measures, with 54.5% (95% CI: 42.7-65.9) of PHQ-MDS cases and 37.9% (95% CI: 27.8-49.1) of CIDI-MDS cases also being classified as MDS by the respective other MDS measure. However, 94.8% (95% CI: 93.6-95.8) of the participants were classified as non-MDS by both measures, with 97.5% (95% CI: 96.6-98.1) of non-PHQ-MDS and 98.7% (95% CI: 98.2-99.1) of non-CIDI-MDS being classified as non-MDS by the respective other MDS measure. The mean and median PHQ-9 sum score was higher in those with PHQ-MDS than in those with CIDI-MDS. CONCLUSIONS Both measures have a high level of agreement for ruling out current MDS, but the overlap in their classification of cases is moderate. Our results indicate that they cannot be interpreted as equal measures of the same construct, suggesting limited comparability of their prevalence estimates. However, further exploration of algorithms and correlates and a proper labeling of measures in epidemiological studies are required.
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Affiliation(s)
- Ulrike E Maske
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, General-Pape-Straße 62-66, 12045, Berlin, Germany. .,Institute for Social Medicine, Occupational Health and Public Health, Faculty of Medicine, University of Leipzig, Ph.-Rosenthal-Str. 55, 04103, Leipzig, Germany.
| | - Markus A Busch
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, General-Pape-Straße 62-66, 12045, Berlin, Germany.
| | - Frank Jacobi
- Institute of Clinical Psychology and Psychotherapy & Center for Clinical Epidemiology and Longitudinal Studies, Technische Universität Dresden, Chemnitzer Str. 46, 01187, Dresden, Germany.
| | - Katja Beesdo-Baum
- Institute of Clinical Psychology and Psychotherapy & Center for Clinical Epidemiology and Longitudinal Studies, Technische Universität Dresden, Chemnitzer Str. 46, 01187, Dresden, Germany. .,Behavioral Epidemiology, Technische Universität Dresden, Chemnitzer Str. 46, 01187, Dresden, Germany.
| | - Ingeburg Seiffert
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, General-Pape-Straße 62-66, 12045, Berlin, Germany.
| | - Hans-Ulrich Wittchen
- Institute of Clinical Psychology and Psychotherapy & Center for Clinical Epidemiology and Longitudinal Studies, Technische Universität Dresden, Chemnitzer Str. 46, 01187, Dresden, Germany.
| | - Steffi Riedel-Heller
- Institute for Social Medicine, Occupational Health and Public Health, Faculty of Medicine, University of Leipzig, Ph.-Rosenthal-Str. 55, 04103, Leipzig, Germany.
| | - Ulfert Hapke
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, General-Pape-Straße 62-66, 12045, Berlin, Germany.
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Kiely KM, Butterworth P. Validation of four measures of mental health against depression and generalized anxiety in a community based sample. Psychiatry Res 2015; 225:291-8. [PMID: 25578983 DOI: 10.1016/j.psychres.2014.12.023] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Revised: 12/01/2014] [Accepted: 12/12/2014] [Indexed: 12/27/2022]
Abstract
There is a need to validate screening measures of affective and generalized anxiety disorders for use in epidemiological surveys of mental health in the general population. This study examined the diagnostic accuracy of the Patient Health Questionnaire (PHQ-9), Goldberg Anxiety and Depression Scales (GAS, GDS) and the 12-item Short Form Health Survey (SF-12) Mental Health Component Summary Scale (MCS-12) in a population based longitudinal study in Australia. We report analyses of two narrow age birth cohorts in the Personality and Total Health (PATH) through life study (ages 32-36 and 52-58). Depressive episodes (severe, moderate, and mild), dysthymia and generalized anxiety disorder were diagnosed according to International Classification of Diseases (ICD-10) criteria using the World Health Organisation (WHO) Composite International Diagnostic Interview (CIDI) as a criterion. All scales had high concordance with their target 30-day diagnoses, with area under the Receiver Operating Characteristic (ROC) curve (AUC) ranging between 0.85 and 0.90. The PHQ-9, GDS, GAS and MCS-12 were all valid instruments for identifying possible cases of depression and anxiety, and assessing the severity of these common mental disorders in the general population. We report recommended cut-points for each scale, though note that the optimal cut-point on mental health screening instruments may vary depending on the context of test administration.
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Affiliation(s)
- Kim Matthew Kiely
- Centre for Research on Ageing Health and Wellbeing, The Australian National University, Canberra, ACT, Australia.
| | - Peter Butterworth
- Centre for Research on Ageing Health and Wellbeing, The Australian National University, Canberra, ACT, Australia
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Ormel J, Raven D, van Oort F, Hartman CA, Reijneveld SA, Veenstra R, Vollebergh WAM, Buitelaar J, Verhulst FC, Oldehinkel AJ. Mental health in Dutch adolescents: a TRAILS report on prevalence, severity, age of onset, continuity and co-morbidity of DSM disorders. Psychol Med 2015; 45:345-360. [PMID: 25066533 DOI: 10.1017/s0033291714001469] [Citation(s) in RCA: 171] [Impact Index Per Article: 17.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND With psychopathology rising during adolescence and evidence suggesting that adult mental health burden is often due to disorders beginning in youth, it is important to investigate the epidemiology of adolescent mental disorders. METHOD We analysed data gathered at ages 11 (baseline) and 19 years from the population-based Dutch TRacking Adolescents' Individual Lives Survey (TRAILS) study. At baseline we administered the Achenbach measures (Child Behavior Checklist, Youth Self-Report) and at age 19 years the World Health Organization's Composite International Diagnostic Interview version 3.0 (CIDI 3.0) to 1584 youths. RESULTS Lifetime, 12-month and 30-day prevalences of any CIDI-DSM-IV disorder were 45, 31 and 15%, respectively. Half were severe. Anxiety disorders were the most common but the least severe whereas mood and behaviour disorders were less prevalent but more severe. Disorders persisted, mostly by recurrence in mood disorders and chronicity in anxiety disorders. Median onset age varied substantially across disorders. Having one disorder increased subjects' risk of developing another disorder. We found substantial homotypic and heterotypic continuity. Baseline problems predicted the development of diagnosable disorders in adolescence. Non-intact families and low maternal education predicted externalizing disorders. Most morbidity concentrated in 5-10% of the sample, experiencing 34-55% of all severe lifetime disorders. CONCLUSIONS At late adolescence, 22% of youths have experienced a severe episode and 23% only mild episodes. This psychopathology is rather persistent, mostly due to recurrence, showing both monotypic and heterotypic continuity, with family context affecting particularly externalizing disorders. High problem levels at age 11 years are modest precursors of incident adolescent disorders. The burden of mental illness concentrates in 5-10% of the adolescent population.
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Affiliation(s)
- J Ormel
- University of Groningen, University Medical Center Groningen,Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen,The Netherlands
| | - D Raven
- University of Groningen, University Medical Center Groningen,Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen,The Netherlands
| | - F van Oort
- Department of Child and Adolescent Psychiatry and Psychology,Erasmus Medical Center,Rotterdam,The Netherlands
| | - C A Hartman
- University of Groningen, University Medical Center Groningen,Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen,The Netherlands
| | - S A Reijneveld
- Department of Health Sciences,University of Groningen,University Medical Center Groningen, Groningen,The Netherlands
| | - R Veenstra
- Department of Sociology,University of Groningen,Groningen,The Netherlands
| | - W A M Vollebergh
- Department of Youth and Family,University of Utrecht,Utrecht,The Netherlands
| | - J Buitelaar
- Department of Psychiatry,Radboud University Nijmegen,Nijmegen,The Netherlands
| | - F C Verhulst
- Department of Child and Adolescent Psychiatry and Psychology,Erasmus Medical Center,Rotterdam,The Netherlands
| | - A J Oldehinkel
- University of Groningen, University Medical Center Groningen,Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen,The Netherlands
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Lin K, Xu G, Lu W, Ouyang H, Dang Y, Lorenzo-Seva U, Guo Y, Bessonov D, Akiskal HS, So KF, Lee TMC. Neuropsychological performance in melancholic, atypical and undifferentiated major depression during depressed and remitted states: a prospective longitudinal study. J Affect Disord 2014; 168:184-91. [PMID: 25061955 DOI: 10.1016/j.jad.2014.06.032] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2014] [Revised: 06/05/2014] [Accepted: 06/24/2014] [Indexed: 01/26/2023]
Abstract
BACKGROUND Considerable evidence has demonstrated that melancholic and atypical major depression have distinct biological correlates relative to undifferentiated major depression, but few studies have specifically delineated neuropsychological performance for them. METHOD In a six-week prospective longitudinal study, we simultaneously compared neuropsychological performance among melancholic depression (n=142), atypical depression (n=76), undifferentiated major depression (n=91), and healthy controls (n=200) during a major depressive episode and a clinically remitted state, respectively. We administered neuropsychological tests assessing processing speed, attention, shifting, planning, verbal fluency, visual spatial memory, and verbal working memory to all participants. RESULTS During the depressive state, the three subtypes displayed extensive cognitive impairment, except for attention, when compared with the healthy controls. Melancholic depression significantly differed from atypical depression in processing speed and verbal fluency. In the remitted state, the three subtypes recovered their visual spatial memory and verbal working memory functions to the healthy control level. The recovery of the other domains (processing speed, set shifting, planning, and verbal fluency), however, was different across the subtypes. No predictive relationship existed between neuropsychological performance and the treatment outcome. LIMITATIONS The drop-out rate in the six-week longitudinal study was relatively high. CONCLUSION Our data provide preliminary evidence that during depressed states the three major depressive subtypes display similar cognitive deficits in some domains but differ in such domains as processing speed and verbal fluency. The recovery of the cognitive deficits following clinical remission from depression may be associated with subtypes of major depressive disorder.
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Affiliation(s)
- Kangguang Lin
- Department of Psychiatry, Guangzhou Psychiatric Hospital, 36 Mingxin Road, Fangcun district, Affiliated Hospital of Guangzhou Medical University, Guangdong Province, Guangzhou 510370, China; Laboratory of Neuropsychology, The University of Hong Kong, Hong Kong; Laboratory of Cognitive Affective Neuroscience, The University of Hong Kong, Hong Kong
| | - Guiyun Xu
- Department of Psychiatry, Guangzhou Psychiatric Hospital, 36 Mingxin Road, Fangcun district, Affiliated Hospital of Guangzhou Medical University, Guangdong Province, Guangzhou 510370, China.
| | - Weicong Lu
- Department of Psychiatry, Guangzhou Psychiatric Hospital, 36 Mingxin Road, Fangcun district, Affiliated Hospital of Guangzhou Medical University, Guangdong Province, Guangzhou 510370, China
| | - Huiyi Ouyang
- Department of Psychiatry, Guangzhou Psychiatric Hospital, 36 Mingxin Road, Fangcun district, Affiliated Hospital of Guangzhou Medical University, Guangdong Province, Guangzhou 510370, China
| | - Yamei Dang
- Department of Psychiatry, Guangzhou Psychiatric Hospital, 36 Mingxin Road, Fangcun district, Affiliated Hospital of Guangzhou Medical University, Guangdong Province, Guangzhou 510370, China
| | - Urbano Lorenzo-Seva
- Research Centre for Behavioral Assessment, Department of Psychology, Rovira i Virgili University, Tarragona, Spain
| | - Yangbo Guo
- Department of Psychiatry, Guangzhou Psychiatric Hospital, 36 Mingxin Road, Fangcun district, Affiliated Hospital of Guangzhou Medical University, Guangdong Province, Guangzhou 510370, China
| | - Daniel Bessonov
- International Mood Center, University of California at San Diego, La Jolla, USA
| | - Hagop S Akiskal
- International Mood Center, University of California at San Diego, La Jolla, USA
| | - Kwok-Fai So
- Department of Ophthalmology, The University of Hong Kong, Hong Kong; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; GMH Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Tatia M C Lee
- Laboratory of Neuropsychology, The University of Hong Kong, Hong Kong; Laboratory of Cognitive Affective Neuroscience, The University of Hong Kong, Hong Kong; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Institute of Clinical Neuropsychology, The University of Hong Kong, Hong Kong.
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Gelaye B, Tadesse MG, Williams MA, Fann JR, Vander Stoep A, Andrew Zhou XH. Assessing validity of a depression screening instrument in the absence of a gold standard. Ann Epidemiol 2014; 24:527-31. [PMID: 24935465 DOI: 10.1016/j.annepidem.2014.04.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 04/18/2014] [Accepted: 04/21/2014] [Indexed: 11/29/2022]
Abstract
PURPOSE We evaluated the extent to which use of a hypothesized imperfect gold standard, the Composite International Diagnostic Interview (CIDI), biases the estimates of diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9). We also evaluate how statistical correction can be used to address this bias. METHODS The study was conducted among 926 adults where structured interviews were conducted to collect information about participants' current major depressive disorder using PHQ-9 and CIDI instruments. First, we evaluated the relative psychometric properties of PHQ-9 using CIDI as a gold standard. Next, we used a Bayesian latent class model to correct for the bias. RESULTS In comparison with CIDI, the relative sensitivity and specificity of the PHQ-9 for detecting major depressive disorder at a cut point of 10 or more were 53.1% (95% confidence interval: 45.4%-60.8%) and 77.5% (95% confidence interval, 74.5%-80.5%), respectively. Using a Bayesian latent class model to correct for the bias arising from the use of an imperfect gold standard increased the sensitivity and specificity of PHQ-9 to 79.8% (95% Bayesian credible interval, 64.9%-90.8%) and 79.1% (95% Bayesian credible interval, 74.7%-83.7%), respectively. CONCLUSIONS Our results provided evidence that assessing diagnostic validity of mental health screening instrument, where application of a gold standard might not be available, can be accomplished by using appropriate statistical methods.
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Affiliation(s)
- Bizu Gelaye
- Department of Epidemiology, Harvard School of Public Health, Boston, MA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA.
| | - Mahlet G Tadesse
- Department of Mathematics and Statistics, Georgetown University, Washington, DC
| | | | - Jesse R Fann
- Departments of Psychiatry and Behavioral Sciences, Rehabilitation Medicine and Epidemiology, Seattle, WA
| | - Ann Vander Stoep
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Xiao-Hua Andrew Zhou
- Department of Biostatistics, University of Washington School of Public Health, Seattle, WA
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Chen LY, Crum RM, Martins SS, Kaufmann CN, Strain EC, Mojtabai R. Service use and barriers to mental health care among adults with major depression and comorbid substance dependence. Psychiatr Serv 2013; 64:863-70. [PMID: 23728427 PMCID: PMC4049190 DOI: 10.1176/appi.ps.201200289] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The study explored mental health service use patterns and barriers to care among individuals with comorbid mental and substance use disorders. METHODS Using data from the National Survey on Drug Use and Health (2005-2010) for 18,972 adults with past-year major depressive episodes, the study compared mental health service use and perceived barriers to care among participants with and without co-occurring alcohol dependence, nonalcohol drug dependence, and both alcohol and drug dependence. RESULTS Compared with participants without comorbid substance dependence, participants with alcohol dependence or both alcohol and nonalcohol drug dependence used more mental health services of all types, and participants with only comorbid alcohol dependence used more medication treatments. Participants with comorbid substance dependence were significantly more likely than those without comorbid substance dependence to report unmet mental health treatment need. However, barriers to mental health care were remarkably similar across groups, with financial barriers being the most common in all groups. CONCLUSIONS Participants with major depression comorbid with substance dependence used more mental health services but also perceived more unmet need for such care than individuals without such comorbidity. However, barriers to mental health care were similar across groups with and without comorbidity. Policies aimed at expanding insurance coverage and mental health parity would likely benefit individuals with major depression and substance dependence comorbidity even more than those without such comorbidity.
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Gelaye B, Williams MA, Lemma S, Deyessa N, Bahretibeb Y, Shibre T, Wondimagegn D, Lemenih A, Fann JR, Stoep AV, Zhou XHA. Diagnostic validity of the composite international diagnostic interview (CIDI) depression module in an East African population. Int J Psychiatry Med 2013; 46:387-405. [PMID: 24922989 PMCID: PMC4058648 DOI: 10.2190/pm.46.4.e] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVE To evaluate the validity and reliability of the structured Composite International Diagnostic Interview (CIDI) in diagnosing current major depressive disorder (MDD) among East African adults. METHODS A sample of 926 patients attending a major referral hospital in Ethiopia participated in this diagnostic assessment study. We used a two-stage study design where participants were first interviewed using an Amharic version of the CIDI and a stratified random sample underwent a follow-up semi-structured clinical interview conducted by a psychiatrist, blinded to the screening results, using the Schedules for Clinical Assessment in Neuropsychiatry (SCAN) instrument. We tested construct validity by examining the association of the CIDI and World Health Organization Quality of Life (WHO-QOL) questionnaire. We calculated the psychometric properties of the CIDI using the SCAN diagnostic interview as a gold standard. RESULTS We found that the Amharic version of the CIDI diagnostic interview has good internal reliability (Cronbach's alpha = 0.97) among Ethiopian adults. Compared to the SCAN reference standard, the CIDI had fair specificity (72.2%) but low sensitivity (51.0%). Our study provided evidence for unidimensionality of core depression screening questions on the CIDI interview with good factor loadings on a major core depressive factor. CONCLUSION The Amharic language version of the CIDI had fair specificity and low sensitivity in detecting MDD compared with psychiatrist administered SCAN diagnosis. Our findings are generally consistent with prior studies. Use of fully structured interviews such as the CIDI for MDD diagnosis in clinical settings might lead to under-detection of DSM-IV MDD.
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Affiliation(s)
- Bizu Gelaye
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA,Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | | | | | - Negussie Deyessa
- Faculty of Medicine, Addis Ababa University, Addis Ababa, ETHIOPIA
| | - Yonas Bahretibeb
- Faculty of Medicine, Addis Ababa University, Addis Ababa, ETHIOPIA
| | - Teshome Shibre
- Faculty of Medicine, Addis Ababa University, Addis Ababa, ETHIOPIA
| | | | - Asnake Lemenih
- Faculty of Medicine, Addis Ababa University, Addis Ababa, ETHIOPIA
| | - Jesse R. Fann
- Departments of Psychiatry and Behavioral Sciences, Rehabilitation Medicine, and Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Ann Vander Stoep
- Departments of Psychiatry and Behavioral Sciences, Rehabilitation Medicine, and Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Xiao-Hua Andrew Zhou
- Department of Biostatistics, University of Washington School of Public Health, Seattle, WA
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Bunting BP, Murphy SD, O'Neill SM, Ferry FR. Lifetime prevalence of mental health disorders and delay in treatment following initial onset: evidence from the Northern Ireland Study of Health and Stress. Psychol Med 2012; 42:1727-1739. [PMID: 22115173 DOI: 10.1017/s0033291711002510] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND The current study provides the first epidemiological estimates of lifetime mental disorders across NI based on DSM-IV criteria. Risk factors, delays in treatment and the experience of conflict are also examined. METHOD Nationally representative face-to-face household survey of 4340 individuals aged > or =18 years in NI using the composite international diagnostic interview. Analyses were implemented using SAS and STATA software. RESULTS Lifetime prevalence of any disorder was 39.1% while projected lifetime risk was 48.6%. Individuals who experienced conflict were more likely to have had an anxiety, mood or impulse-control disorder. Treatment delays were substantial for anxiety and substance disorders. CONCLUSIONS Results from this study show that mental disorders are highly prevalent in Northern Ireland. The elevated rates of post-traumatic stress disorder in relation to other countries and the association of living 'in a region of terror' disorders suggests that civil conflict has had an additional impact on mental health. Given substantial delays in treatment, further research is required to investigate the factors associated with failure and delay in treatment seeking.
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Affiliation(s)
- B P Bunting
- Psychology Research Institute, University of Ulster, Magee Campus, Northland Road, Londonderry BT48 7JL, UK.
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Hek K, Tiemeier H, Newson RS, Luijendijk HJ, Hofman A, Mulder CL. Anxiety disorders and comorbid depression in community dwelling older adults. Int J Methods Psychiatr Res 2011; 20:157-68. [PMID: 22547298 PMCID: PMC6878519 DOI: 10.1002/mpr.344] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Anxiety disorder is a common psychiatric problem during late-life, and frequently co-occurs with depression. High comorbidity between anxiety and depression may partly be explained by the definition of the disorders and the assessment of both disorders with one instrument at the same time. The current study investigates the relation of current and past depression with anxiety disorders in the Rotterdam Study, a large population-based cohort study of older adults in the Netherlands (n study population = 5565). DSM-IV anxiety disorder was ascertained with the Munich version of the Composite International Diagnostic Interview. DSM-IV depression was diagnosed with the Schedules for Clinical Assessment of Neuropsychiatry (SCAN) on a different day. Past depression was assessed from general practitioners' records, self-report, and a prior SCAN interview. Of the 457 persons with an anxiety disorder, 11.6% had a comorbid major depression, and another 6.3% had other depressive syndromes. However, 49.3% of persons with an anxiety disorder experienced or had in the past experienced a depressive episode. Our study suggests that comorbid depression in older adults with anxiety disorders may be less prevalent than previously suggested. However, the relation of current anxiety disorders with past depression is substantial.
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Affiliation(s)
- Karin Hek
- O3 Research Centre, Department of Psychiatry, Erasmus Medical Centre, Rotterdam, The Netherlands
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40
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Bradley EA, Ames CS, Bolton PF. Psychiatric conditions and behavioural problems in adolescents with intellectual disabilities: correlates with autism. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2011; 56:102-9. [PMID: 21333037 DOI: 10.1177/070674371105600205] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To determine whether psychiatric and behavioural disorders occur more frequently in adolescents with autism and intellectual disabilities, compared with those without autism. METHOD A population-based case-control study was undertaken and 36 adolescents with autism were pairwise matched for age and IQ to 36 adolescents without autism. Caregivers were interviewed with structured psychiatric interview and questionnaire measures of psychiatric and behavioural problems. RESULTS Compulsive behaviours and stereotypies were significantly more common in adolescents with autism. CONCLUSIONS Adolescents with autism are prone to compulsive behaviours and stereotypies as well as specific manifestations of anxiety, fears, and phobias.
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Jayasekera H, Carter G, Clover K. Comparison of the Composite International Diagnostic interview (CIDI-Auto) with clinical diagnosis in a suicidal population. Arch Suicide Res 2011; 15:43-55. [PMID: 21293999 DOI: 10.1080/13811118.2011.540208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The objective was to examine agreement between routine clinician diagnoses of DSM-IV Anxiety, Depressive, Substance-Use disorders with diagnoses generated by CIDI-Auto Version 2.1, administered by trained interviewers. Subjects were 329 deliberate self poisoning patients at a tertiary referral center in Australia. Tests of agreement were: percentage agreement, sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios, and Cohen's kappa coefficients, for 1 month and 12 month CIDI diagnoses. Agreement was poor (kappa <0.40) for Anxiety, Depressive and Substance-Use disorders. Since diagnosis largely determines subsequent treatment, these findings did not support the use of the less expensive CIDI-Auto procedure to replace clinical diagnosis by experienced clinicians for this group of patients exhibiting suicidal behavior.
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Affiliation(s)
- Himali Jayasekera
- Hunter New England Mental Health Services, Newcastle, NSW, Australia
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Coid J, Ullrich S. Antisocial personality disorder and anxiety disorder: a diagnostic variant? J Anxiety Disord 2010; 24:452-60. [PMID: 20378309 DOI: 10.1016/j.janxdis.2010.03.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2009] [Revised: 02/09/2010] [Accepted: 03/05/2010] [Indexed: 10/19/2022]
Abstract
Antisocial personality disorder (ASPD) with co-morbid anxiety disorder may be a variant of ASPD with different etiology and treatment requirements. We investigated diagnostic co-morbidity, ASPD criteria, and anxiety/affective symptoms of ASPD/anxiety disorder. Weighted analyses were carried out using survey data from a representative British household sample. ASPD/anxiety disorder demonstrated differing patterns of antisocial criteria, co-morbidity with clinical syndromes, psychotic symptoms, and other personality disorders compared to ASPD alone. ASPD criteria demonstrated specific associations with CIS-R scores of anxiety and affective symptoms. Findings suggest ASPD/anxiety disorder is a variant of ASPD, determined by symptoms of anxiety. Although co-morbid anxiety and affective symptoms are the same as in anxiety disorder alone, associations with psychotic symptoms require further investigation.
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Affiliation(s)
- Jeremy Coid
- Barts and the London School of Medicine and Dentistry, Queen Mary University of London, Wolfson Institute of Preventive Medicine, Centre for Psychiatry, Forensic Psychiatry Research Unit, London EC1A 7BE, UK.
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Abstract
OBJECTIVE To compare the frequency of anxiety disorders in older and younger persons with major depressive disorder with psychotic features. DESIGN Cross-sectional. SETTING University medical centers. PARTICIPANTS Two hundred fifty-nine persons (N = 117 aged 18-59 years and N = 142 aged > or =60 years) with major depressive disorder with psychotic features who were enrolled in the Study of the Pharmacotherapy of Psychotic Depression (STOP-PD). MEASUREMENTS Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, (DSM-IV) defined anxiety disorders were determined by Structured Clinical Interview for DSM-IV interview at baseline assessment. Younger and older participants were compared on the frequencies of any current anxiety disorder and any lifetime anxiety disorder, as well as the frequencies of individual anxiety disorders. RESULTS Older persons had significantly lower frequencies of any current anxiety disorder and any lifetime anxiety disorder, even after controlling for relevant demographic and clinical variables. With respect to specific anxiety disorders, older persons had significantly lower frequencies of current and lifetime panic disorder, current and lifetime social anxiety disorder, and current and lifetime posttraumatic stress disorder. CONCLUSION The findings of this study are consistent with those of community-based epidemiologic surveys that anxiety disorders are less prevalent in older than younger adults. Because of the rigorous assessment used in STOP-PD, our findings suggest that the age-related decline in the prevalence of anxiety disorders is not simply due to a failure to detect cases in older people, as has been previously suggested.
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Miotto P, Pollini B, Restaneo A, Favaretto G, Sisti D, Rocchi MBL, Preti A. Symptoms of psychosis in anorexia and bulimia nervosa. Psychiatry Res 2010; 175:237-43. [PMID: 20022383 DOI: 10.1016/j.psychres.2009.03.011] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2008] [Revised: 12/05/2008] [Accepted: 03/16/2009] [Indexed: 12/31/2022]
Abstract
Despite evidence from case series, the comorbidity of eating disorders with psychosis is less investigated than their comorbidity with anxiety and mood disorders. We investigated the occurrence of symptoms of psychosis in 112 female patients diagnosed with DSM-IV eating disorders (anorexia nervosa=61, bulimia nervosa=51) and 631 high school girls in the same health district as the patients: the items of the SCL-90R symptom dimensions "paranoid ideation" and "psychoticism" were specifically examined. No case of co-morbid schizophrenia was observed among patients. Compared with controls, the patients with anorexia nervosa were more likely to endorse the item "Never feeling close to another person"; the patients with bulimia nervosa were more likely to endorse the item "Feeling others are to blame for your troubles". Both groups of patients were more likely than controls to endorse the item "Idea that something is wrong with your mind". The students who were identified by the EAT and the BITE as being "at risk" for eating disorders were more likely to assign their body a causative role in their problems. Symptoms of psychosis can be observed in patients with eating disorders, but these could be better explained within the psychopathology of the disorders rather than by assuming a link with schizophrenia.
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Affiliation(s)
- Paola Miotto
- Eating Disorders Unit, Department of Mental Health, ULSS 7, Conegliano, Italy
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Fortuyn HAD, Lappenschaar MA, Furer JW, Hodiamont PP, Rijnders CAT, Renier WO, Buitelaar JK, Overeem S. Anxiety and mood disorders in narcolepsy: a case-control study. Gen Hosp Psychiatry 2010; 32:49-56. [PMID: 20114128 DOI: 10.1016/j.genhosppsych.2009.08.007] [Citation(s) in RCA: 75] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2009] [Revised: 08/21/2009] [Accepted: 08/31/2009] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Narcolepsy is a primary sleeping disorder with excessive daytime sleepiness and cataplexy as core symptoms. There is increasing interest in the psychiatric phenotype of narcolepsy. Although many authors suggest an overrepresentation of mood disorders, few systematic studies have been performed and conflicting results have been reported. Anxiety disorders in narcolepsy have only received little attention. METHODS We performed a case-control study in 60 narcolepsy patients and 120 age- and sex-matched controls from a previous population study. The Schedules for Clinical Assessment in Neuropsychiatry were used to assess symptoms and diagnostic classifications of mood and anxiety disorders. RESULTS Symptoms of mood disorders were reported by about one third of patients. However, the prevalence of formal mood disorder diagnoses - including major depression - was not increased. In contrast, more than half of the narcolepsy patients had anxiety or panic attacks. Thirty-five percent of the patients could be diagnosed with anxiety disorder (odds ratio=15.6), with social phobia being the most important diagnosis. There was no influence of age, sex, duration of illness or medication use on the prevalence of mood or anxiety symptoms and disorders. DISCUSSION Anxiety disorders, especially panic attacks and social phobias, often affect patients with narcolepsy. Although symptoms of mood disorders are present in many patients, the prevalence of major depression is not increased. Anxiety and mood symptoms could be secondary complications of the chronic symptoms of narcolepsy. Recent studies have shown that narcolepsy is caused by defective hypocretin signaling. As hypocretin neurotransmission is also involved in stress regulation and addiction, this raises the possibility that mood and anxiety symptoms are primary disease phenomena in narcolepsy.
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Affiliation(s)
- H A Droogleever Fortuyn
- Department of Psychiatry, Nijmegen Centre for Evidence-Based Practice, Radboud University Nijmegen Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands.
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Nienhuis FJ, van de Willige G, Rijnders CAT, de Jonge P, Wiersma D. Validity of a short clinical interview for psychiatric diagnosis: the mini-SCAN. Br J Psychiatry 2010; 196:64-8. [PMID: 20044664 DOI: 10.1192/bjp.bp.109.066563] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND To promote clinical application of the Schedules for Clinical Assessment in Neuropsychiatry (SCAN) system a shorter version (the mini-SCAN) was devised. Its psychometric properties were unknown. AIMS To establish the validity and practical properties of the mini-SCAN. METHOD One hundred and six participants were interviewed twice, once with the SCAN and once with the mini-SCAN. The level of agreement was established for the categories: no disorder, affective disorders, anxiety disorders, non-affective psychotic disorders, affective psychotic disorders. RESULTS The mini-SCAN is a valid instrument. Most kappa values were around 0.90. Only for the class of affective psychotic disorders was the agreement moderate. Mean duration of the mini-SCAN interviews was 25 min shorter than the SCAN interviews. Participants and interviewers were generally satisfied with the interview format and questions. CONCLUSIONS The mini-SCAN can be used as a diagnostic instrument for clinical purposes and for clinical studies when the present episode is the focus of attention.
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Affiliation(s)
- F J Nienhuis
- University Medical Centre Groningen, Department of Psychiatry, P.O. Box 30.01, 9700 RB Groningen, The Netherlands.
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Benazzi F, Akiskal HS. The modified SCID Hypomania Module (SCID-Hba): a detailed systematic phenomenologic probing. J Affect Disord 2009; 117:131-6. [PMID: 19552962 DOI: 10.1016/j.jad.2009.06.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2009] [Accepted: 06/02/2009] [Indexed: 11/25/2022]
Abstract
Diagnosing past hypomania is a difficult task. Current structured interviews (e.g. CIDI, SCID) limit the ability to probe for hypomania. A modified SCID Hypomania Module was published by us (Benazzi and Akiskal, J Affect Disord 2003; Akiskal and Benazzi, J Clin Psychiatry 2005) in order to overcome the limitations of structured interviewing. Our papers outlined the framework of the modified SCID. In response to requests from many readers of this journal and other clinicians and investigators, we are hereby providing a more explicit step-by-step phenomenologic probing interview. DSM-IV criteria have to be met, but the probing for hypomania is very different from that of the SCID. All past hypomanic symptoms are assessed. No negative meaning is given to symptoms, as hypomania often improves functioning and it is seen by patients as a state of well being. The first step is probing for overactivity (increase in goal-directed activity), because observable behaviors are easier to remember by patients and key informants. There is no gold-standard for overactivity: each person becomes his/her own standard to 'measure' a clear-cut departure form the usual behavior. Questions, correspondingly, can change from patient to patient. The emotions associated with behavioral change are easier to be remembered than asking them first, as in the structured interviews. Structured interviews have mood change (elation, irritability) as stem question (corresponding to the criterion A of DSM-IV, which postulates that it must always be present). However, apart from a likely recall bias of past emotions, the description of mood change appears more or less negative in structured interviews (to increase specificity but by much reducing sensitivity, i.e. the false-negatives). Presenting mood change as simply having been more elated/irritable than usual can easily be interpreted as normal mood fluctuations, while presenting mood change as much more than usual could be understood as a severe mental disorder. Both ways are likely to lead to a negative response, moving the interviewers to unipolar disorders (the skip-out instruction). Our modified SCID is a fully semi-structured interview: many questions are asked about each symptom to make the question understandable according to each patient, and, very importantly, examples of the 'events' are systematically asked to check understanding and clinical relevance. Our interview follows DSM-IV criteria (apart from the minimum duration, 2 days versus DSM-IV 4 days), i.e. mood change must always been present, but our probing detects more hypomanic episodes than the SCID.
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Rettew DC, Lynch AD, Achenbach TM, Dumenci L, Ivanova MY. Meta-analyses of agreement between diagnoses made from clinical evaluations and standardized diagnostic interviews. Int J Methods Psychiatr Res 2009; 18:169-84. [PMID: 19701924 PMCID: PMC6878243 DOI: 10.1002/mpr.289] [Citation(s) in RCA: 174] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2008] [Revised: 06/13/2008] [Accepted: 12/15/2008] [Indexed: 11/10/2022] Open
Abstract
UNLABELLED Standardized diagnostic interviews (SDIs) have become de facto gold standards for clinical research. However, because clinical practitioners seldom use SDIs, it is essential to determine how well SDIs agree with clinical diagnoses. In meta-analyses of 38 articles published from 1995 to 2006 (N = 15,967 probands), mean kappas (z-transformed) between diagnoses from clinical evaluations versus SDIs were 0.27 for a broad category of all disorders, 0.29 for externalizing disorders, and 0.28 for internalizing disorders. Kappas for specific disorders ranged from 0.19 for generalized anxiety disorder to 0.86 for anorexia nervosa (median = 0.48). For diagnostic clusters (e.g. psychotic disorders), kappas ranged from 0.14 for affective disorders (including bipolar) to 0.70 for eating disorders (median = 0.43). Kappas were significantly higher for outpatients than inpatients and for children than adults. However, these effects were not significant in meta-regressions. CONCLUSIONS Diagnostic agreement between SDIs and clinical evaluations varied widely by disorder and was low to moderate for most disorders. Thus, findings from SDIs may not fully apply to diagnoses based on clinical evaluations of the sort used in the published studies. Rather than implying that SDIs or clinical evaluations are inferior, characteristics of both may limit agreement and generalizability from SDI findings to clinical practice.
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Affiliation(s)
- David C Rettew
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT 05401, USA.
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Cuijpers P, Smits N, Donker T, ten Have M, de Graaf R. Screening for mood and anxiety disorders with the five-item, the three-item, and the two-item Mental Health Inventory. Psychiatry Res 2009; 168:250-5. [PMID: 19185354 DOI: 10.1016/j.psychres.2008.05.012] [Citation(s) in RCA: 234] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2007] [Revised: 09/02/2007] [Accepted: 05/26/2008] [Indexed: 11/20/2022]
Abstract
The Mental Health Inventory (MHI)-5 is an attractive, brief screening questionnaire for depression and anxiety disorders. It has been suggested that the three questions on depression (MHI-d) may be as good as the full MHI-5 in assessing depressive disorders. We examined the validity of the MHI-d and the MHI-a (the remaining two items on anxiety) in a large population-based sample of 7076 adults in the Netherlands. We also examined the validity of the MHI in assessing specific anxiety disorders. The presence of depressive and anxiety disorders in the past month was assessed with the Composite International Diagnostic Interview (CIDI), computerized version 1.1. ROC analyses indicated no significant difference between the MHI-5 (area under the curve of 0.93) and the MHI-d (area under the curve of 0.91) in detecting major depression and dysthymia. There was no difference either between the MHI-5 (area under the curve of 0.73) and the MHI-a (area under the curve 0.73) in detecting anxiety disorders. Both the MHI-5 and the MHI-a also seem to be adequate as a screener for some anxiety disorders (generalized anxiety disorder; panic disorder; obsessive-compulsive disorder), but not others, especially phobias (agoraphobia; social phobia; simple phobia).
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Affiliation(s)
- Pim Cuijpers
- Department of Clinical Psychology, Vrije Universiteit, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands.
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Alegria M, Shrout PE, Torres M, Lewis-Fernández R, Abelson JM, Powell M, Interian A, Lin J, Laderman M, Canino G. Lessons learned from the clinical reappraisal study of the Composite International Diagnostic Interview with Latinos. Int J Methods Psychiatr Res 2009; 18:84-95. [PMID: 19507168 PMCID: PMC2729144 DOI: 10.1002/mpr.280] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Given recent adaptations of the World Health Organization's World Mental Health Composite International Diagnostic Interview (WMH-CIDI), new methodological studies are needed to evaluate the concordance of CIDI diagnoses with clinical diagnostic interviews. This paper summarizes lessons learned from a clinical reappraisal study done with US Latinos. We compare CIDI diagnoses with independent clinical diagnosis using the World Mental Health Structured Clinical Interview for DSM-IV (WMH-SCID 2000). Three sub-samples stratified by diagnostic status (CIDI positive, CIDI negative, or CIDI sub-threshold for a disorder) based on nine disorders were randomly selected for a telephone re-interview using the SCID. We calculated sensitivity, specificity, and weight-adjusted Cohen's kappa. Weighted 12 month prevalence estimates of the SCID are slightly higher than those of the CIDI for generalized anxiety disorder, alcohol abuse/dependence, and drug abuse/dependence. For Latinos, CIDI-SCID concordance at the aggregate disorder level is comparable, albeit lower, to other published reports. The CIDI does very well identifying negative cases and classifying disorders at the aggregate level. Good concordance was also found for major depressive episode and panic disorder. Yet, our data suggests that the CIDI presents problems for assessing post-traumatic stress disorder (PTSD) and generalized anxiety disorder (GAD). Recommendations on how to improve future versions of the CIDI for Latinos are offered.
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Affiliation(s)
- Margarita Alegria
- Center for Multicultural Mental Health Research, Cambridge Health Alliance, Cambridge, MA, USA.
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