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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: 4.7] [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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Feasibility of Four Interventions to Improve Treatment Adherence in Migrants Living with HIV in The Netherlands. Diagnostics (Basel) 2020; 10:diagnostics10110980. [PMID: 33233835 PMCID: PMC7699853 DOI: 10.3390/diagnostics10110980] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 11/16/2020] [Accepted: 11/17/2020] [Indexed: 11/17/2022] Open
Abstract
We evaluated the feasibility and efficacy of four existing interventions to improve adherence to them in migrants living with HIV (MLWH): directly administered antiretroviral therapy (DAART), group medical appointments (GMA), early detection and treatment of psychological distress, and peer support by trained MLWH. At baseline and after the interventions, socio-demographic characteristics, psychosocial variables, and data on HIV treatment adherence were collected. The two questionnaires were completed by 234/301 (78%) MLWH included at baseline. Detectable HIV RNA decreased (from 10.3 to 6.8%) as did internalized HIV-related stigma (from 15 to 14 points), and self-reported adherence increased (between 5.5 and 8.3%). DAART and GMA were not feasible interventions. Screening of psychological distress was feasible; however, follow-up diagnostic screening and linkage to psychiatric services were not. Peer support for and by MLWH was feasible. Within this small intervention group, results on HIV RNA < 400 copies/mL (decrease of 23.6%) and outpatient clinic attendance (up to 20.4% kept more appointments) were promising.
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Kessler RC, Al‐Desouki M, King AJ, Sampson NA, Al‐Subaie AS, Al‐Habeeb A, Bilal L, Shahab MK, Aradati M, Altwaijri YA. Clinical reappraisal of the Composite International Diagnostic Interview Version 3.0 in the Saudi National Mental Health Survey. Int J Methods Psychiatr Res 2020; 29:e1828. [PMID: 33245606 PMCID: PMC7507537 DOI: 10.1002/mpr.1828] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 04/12/2020] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVES The DSM-IV diagnoses generated by the fully structured lay-administered Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) in the Saudi National Mental Health Survey (SNMHS) were compared to diagnoses based on blinded clinical reappraisal interviews. METHODS Telephone follow-up interviews were administered using the clinician-administered non-patient edition of the Structured Clinical Interview for DSM-IV (SCID) in separate sub-samples of SNMHS respondents who screened positive for four disorders that are of special importance in Arab countries: obsessive-compulsive disorder, separation anxiety disorder, social phobia, and major depressive episode. RESULTS Initial diagnoses based on the CIDI were found to have higher prevalence than those based on the SCID for all four disorders. For reasons having to do with respondent denial of symptoms in the SCID reported in the CIDI, we interpreted these differences as due more to under-diagnoses in the SCID than over-diagnoses in the CIDI. Nonetheless, CIDI diagnostic thresholds for three of the four disorders were increased to make sure prevalence estimates based on the CIDI were conservative. The procedures used to implement these recalibrations are described in this paper. CONCLUSIONS The CIDI interviews used in the SNMHS generated valid but conservative diagnoses of common mental disorders in the Saudi population.
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Affiliation(s)
- Ronald C. Kessler
- Department of Health Care PolicyHarvard Medical SchoolBostonMassachusettsUSA
| | - Majid Al‐Desouki
- Psychiatry UnitKing Saud University Medical CityRiyadhSaudi Arabia
| | - Andrew J. King
- Department of Health Care PolicyHarvard Medical SchoolBostonMassachusettsUSA
| | - Nancy A. Sampson
- Department of Health Care PolicyHarvard Medical SchoolBostonMassachusettsUSA
| | - Abdullah S. Al‐Subaie
- Edrak Medical CenterRiyadhSaudi Arabia
- SABIC Psychological Health Research & Applications Chair (SPHRAC), College of MedicineKing Saud UniversityRiyadhSaudi Arabia
| | | | - Lisa Bilal
- SABIC Psychological Health Research & Applications Chair (SPHRAC), College of MedicineKing Saud UniversityRiyadhSaudi Arabia
- King Salman Center for Disability ResearchRiyadhSaudi Arabia
- Biostatistics, Epidemiology and Scientific Computing DepartmentKing Faisal Specialist Hospital and Research CentreRiyadhSaudi Arabia
| | - Mona K. Shahab
- Clinical Epidemiology, Leiden University Medical Center; Faculty of Social and Behavioural Sciences, Clinical Psychology DepartmentLeiden UniversityLeidenThe Netherlands
- i‐psy interculturele psychiatrie, Parnassia GroepThe HagueThe Netherlands
| | - Maggie Aradati
- SABIC Psychological Health Research & Applications Chair (SPHRAC), College of MedicineKing Saud UniversityRiyadhSaudi Arabia
- King Salman Center for Disability ResearchRiyadhSaudi Arabia
- Biostatistics, Epidemiology and Scientific Computing DepartmentKing Faisal Specialist Hospital and Research CentreRiyadhSaudi Arabia
| | - Yasmin A. Altwaijri
- SABIC Psychological Health Research & Applications Chair (SPHRAC), College of MedicineKing Saud UniversityRiyadhSaudi Arabia
- King Salman Center for Disability ResearchRiyadhSaudi Arabia
- Biostatistics, Epidemiology and Scientific Computing DepartmentKing Faisal Specialist Hospital and Research CentreRiyadhSaudi Arabia
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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: 6.5] [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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5
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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: 6.2] [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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6
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Been SK, Schadé A, Bassant N, Kastelijns M, Pogány K, Verbon A. Anxiety, depression and treatment adherence among HIV-infected migrants. AIDS Care 2019; 31:979-987. [PMID: 30957530 DOI: 10.1080/09540121.2019.1601676] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Diagnosing symptoms of psychological distress can be challenging in migrants living with HIV (MLWH) living in Western Europe. We evaluated the Hospital Anxiety and Depression Scale (HADS) as a screening tool for psychological distress. Additionally, the association between psychological distress and adherence to combination Antiretroviral Therapy (cART) was determined. Socio-demographic and clinical characteristics, psychosocial variables, and self-reported adherence to cART data were collected. 306/352 participants completed the HADS. A HADS+ (≥15, at risk for psychological distress) was found in 106/306. The Composite International Diagnostic Interview (CIDI) was completed by 60/106. The HADS was repeated in 58 participants as the time between the first HADS and the CIDI was more than three months. In 21/37 participants with a HADS+ (57%) within three months before the CIDI a diagnosis of depression or anxiety disorder based on the CIDI was found. Participants with a HADS+ were more likely to be non-adherent (71.3% vs. 43.6%). In a large group of MLWH in the Netherlands, 35% were at risk for symptoms of psychological distress. The HADS seems to be a suitable screening tool for MLWH.
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Affiliation(s)
- S K Been
- a Department of Internal Medicine, Division of Infectious Diseases , Erasmus University Medical Center Rotterdam , Netherlands
| | - A Schadé
- b Department of Psychiatry , Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam , Netherlands
| | - N Bassant
- a Department of Internal Medicine, Division of Infectious Diseases , Erasmus University Medical Center Rotterdam , Netherlands
| | - M Kastelijns
- c Department of Internal Medicine , Maasstad Hospital , Rotterdam , Netherlands
| | - K Pogány
- c Department of Internal Medicine , Maasstad Hospital , Rotterdam , Netherlands
| | - A Verbon
- d Department of Medical Microbiology and Infectious Diseases , Erasmus University Medical Center , Rotterdam , Netherlands
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7
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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: 43] [Impact Index Per Article: 7.2] [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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Pettersson A, Boström KB, Gustavsson P, Ekselius L. Which instruments to support diagnosis of depression have sufficient accuracy? A systematic review. Nord J Psychiatry 2015; 69:497-508. [PMID: 25736983 DOI: 10.3109/08039488.2015.1008568] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Instruments are frequently used in case finding, diagnosis and severity grading of major depression, but the evidence supporting their utility is weak. AIM To systematically review the specificity and sensitivity of instruments used to diagnose and grade the severity of depression. METHODS MEDLINE, PsycInfo, Embase and the Cochrane Library databases were searched until April 2014. Fifty studies fulfilled the inclusion criteria. Risk of bias was assessed with QUADAS. The average sensitivity and specificity of each instrument was estimated with hierarchical summary receiver operating characteristics analyses and the confidence in the estimates was evaluated using GRADE. Minimum acceptable sensitivity/specificity, with structured interview as the reference, was 80%/80% for structured interviews and 80%/70% for case-finding instruments. The minimum acceptable standard for severity measures was a correlation of 0.7 with DSM-IV classification. RESULTS Twenty instruments were investigated. The average sensitivity/specificity was 85%/92% for the Structured Clinical Interview for DSM-IV-Axis-I Disorders (SCID-I), 95%/84% for the Mini International Neuropsychiatric Interview (MINI), < 70%/85% for the Primary Care Evaluation of Mental Disorders (PRIME-MD), 88%/78% for the Patient Health Questionnaire-9 (PHQ-9) with a cut-off score of 10, 69%/95% for PHQ-9 as a diagnostic algorithm and 70%/83% for the Hospital Anxiety and Depression Scale (HADS) with a cut-off score of 7. The confidence in the estimates for the other instruments was very low. CONCLUSIONS Only the SCID-I, MINI and PHQ-9 with a cut-off score of 10 fulfilled the minimum criteria for sensitivity and specificity. The use of the PRIME-MD and HADS is not supported by current evidence.
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Affiliation(s)
- Agneta Pettersson
- a Agneta Pettersson, M.Sc., Department of Learning , Informatics, Medical Education and Ethics, Karolinska Institutet, and Swedish Council on Health Technology Assessment , Stockholm , Sweden
| | - Kristina Bengtsson Boström
- b Kristina Bengtsson Boström, M.D., Ph.D., Research & Development Centre Skaraborg Primary Care, Skövde, and Department of Clinical Sciences/Endocrinology , Lund University , Malmö , Sweden
| | - Petter Gustavsson
- c Petter Gustavsson, Ph.D., Department of Clinical Neuroscience , Karolinska Institutet , Stockholm , Sweden
| | - Lisa Ekselius
- d Ekselius Lisa, M.D., Ph.D., Department of Neuroscience , Uppsala University , Uppsala , Sweden
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Howe GW, Hornberger AP, Weihs K, Moreno F, Neiderhiser JM. Higher-order structure in the trajectories of depression and anxiety following sudden involuntary unemployment. JOURNAL OF ABNORMAL PSYCHOLOGY 2012; 121:325-38. [PMID: 22103803 PMCID: PMC3621986 DOI: 10.1037/a0026243] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Recent work on comorbidity finds evidence for hierarchical structure of mood and anxiety disorders and symptoms. This study tests whether a higher-order internalizing factor accounts for variation in depression and anxiety symptom severity and change over time in a sample experiencing a period of major life stress. Data on symptoms of depression, chronic worry, and social anxiety were collected five times across seven months from 426 individuals who had recently lost jobs. Growth models for each type of symptom found significant variation in individual trajectories. Slopes were highly correlated across symptom type, as were intercepts. Multilevel confirmatory factor analyses found evidence for a higher-order internalizing factor for both slopes and intercepts, reflective of comorbidity of depression and anxiety, with the internalizing factor accounting for 54% to 91% of the variance in slopes and intercepts of specific symptom sets, providing evidence for both a general common factor and domain-specific factors characterizing level and change in symptoms. Loadings on the higher order factors differed modestly for men and women, and when comparing African American and White participants, but did not differ by age, education, or history of depression. More distal factors including gender and history of depression were strongly associated with internalizing in the early weeks after job loss, but rates of change in internalizing were associated most strongly with reemployment. Findings suggest that stressors may contribute in different ways to the common internalizing factor as compared to variance in anxiety and depression that is independent of that factor.
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Affiliation(s)
- George W Howe
- Department of Psychology, George Washington University, Washington, DC 20052, USA.
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10
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Williamson RJ, Neale BM, Sterne A, Prince M, Sham P. The Value of Four Mental Health Self-Report Scales in Predicting Interview-Based Mood and Anxiety Disorder Diagnoses in Sibling Pairs. Twin Res Hum Genet 2012. [DOI: 10.1375/twin.8.2.101] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractQuestionnaire-based dimensional measures are often employed in epidemiological studies to predict the presence of psychiatric disorders. The present study sought to determine how accurately 4 dimensional mental health measures, the 12-item General Health Questionnaire (GHQ-12), Neuroticism (EPQ-N), the high positive affect and anxious arousal scales from the Mood and Anxiety Symptoms Questionnaire (MASQ-HPA and MASQ-AA) and a composite of all 4, predicted psychiatric caseness as diagnosed by the University of Michigan Composite International Diagnostic Interview (UM-CIDI). Community subjects were recruited through general practitioners; those who agreed to participate were sent a questionnaire containing the above measures. Subsequently, the UM-CIDI was administered by telephone to 469 subjects consisting of sibling pairs who scored most discordantly or concordantly on a composite index of the 4 measures. Logistic Regression and Receiver Operating Characteristic (ROC) curve analyses were carried out to assess the predictive accuracy of the dimensional measures on UM-CIDI diagnosis. A total of 179 subjects, 62 men and 117 women with an average age of 42 years, were diagnosed with at least one of the following psychiatric disorders: depression, dysthymia, generalized anxiety disorder (GAD), social phobia, agoraphobia and panic attack. The six disorders showed high comorbidity. EPQ-N and the Composite Index were found to be very strong and accurate predictors of psychiatric caseness; they were however unable to differentiate between specific disorders. The results from the present study therefore validated the four mental health measures as being predictive of psychiatric caseness.
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Teesson M, Mitchell PB, Deady M, Memedovic S, Slade T, Baillie A. Affective and anxiety disorders and their relationship with chronic physical conditions in Australia: findings of the 2007 National Survey of Mental Health and Wellbeing. Aust N Z J Psychiatry 2011; 45:939-46. [PMID: 21967412 DOI: 10.3109/00048674.2011.614590] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE The aim of this study was to report nationally representative data on the prevalence and patterns of 12 month comorbidity of chronic physical conditions (diabetes, asthma, coronary heart disease, stroke, cancer, arthritis) and DSM-IV affective and anxiety disorders in Australian adults. METHOD The 2007 National Survey of Mental Health and Wellbeing (NSMHWB) was a nationally representative household survey of 8841 Australian adults (16-85 years) assessing symptoms of ICD-10 mental disorders and the presence of chronic physical conditions. RESULTS Prevalence of at least one National Health Priority Area chronic physical condition was 32.2% (95%CI = 30.9%-33.5%). Among those with chronic physical conditions 21.9% had an affective or anxiety disorder. Affective and anxiety disorders were more common among people with physical conditions than among people without chronic physical conditions (affective OR 1.5; anxiety OR 1.8). Of those with a 12 month affective or anxiety disorder, 45.6% had a chronic physical condition. Physical disorders were more common in those with an affective or anxiety disorder than among people without an affective or anxiety disorder (affective OR 1.6; anxiety OR 2.0). Disability was high in those with an anxiety disorder, an affective disorder and a physical condition and 43.4% were classified as high service users. CONCLUSIONS Comorbidity between chronic physical conditions and affective and anxiety disorders is widespread and is associated with high levels of disability and service use.
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Affiliation(s)
- Maree Teesson
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Australia.
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Prins M, Meadows G, Bobevski I, Graham A, Verhaak P, van der Meer K, Penninx B, Bensing J. Perceived need for mental health care and barriers to care in the Netherlands and Australia. Soc Psychiatry Psychiatr Epidemiol 2011; 46:1033-44. [PMID: 20686887 PMCID: PMC3173635 DOI: 10.1007/s00127-010-0266-3] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2009] [Accepted: 06/25/2010] [Indexed: 11/28/2022]
Abstract
PURPOSE This study of Australian and Dutch people with anxiety or depressive disorder aims to examine people's perceived needs and barriers to care, and to identify possible similarities and differences. METHODS Data from the Australian National Survey of Mental Health and Well-Being and the Netherlands Study of Depression and Anxiety were combined into one data set. The Perceived Need for Care Questionnaire was taken in both studies. Logistic regression analyses were performed to check if similarities or differences between Australia and the Netherlands could be observed. RESULTS In both countries, a large proportion had unfulfilled needs and self-reliance was the most frequently named barrier to receive care. People from the Australian sample (N = 372) were more likely to perceive a need for medication (OR 1.8; 95% CI 1.3-2.5), counselling (OR 1.4; 95% CI 1.0-2.0) and practical support (OR 1.8; 95% CI 1.2-2.7), and people's overall needs in Australia were more often fully met compared with those of the Dutch sample (N = 610). Australians were more often pessimistic about the helpfulness of medication (OR 3.8; 95% CI 1.4-10.7) and skills training (OR 3.0; 95% CI 1.1-8.2) and reported more often financial barriers for not having received (enough) information (OR 2.4; 95% CI 1.1-5.5) or counselling (OR 5.9; 95% CI 2.9-11.9). CONCLUSIONS In both countries, the vast majority of mental health care needs are not fulfilled. Solutions could be found in improving professionals' skills or better collaboration. Possible explanations for the found differences in perceived need and barriers to care are discussed; these illustrate the value of examining perceived need across nations and suggest substantial commonalities of experience across the two countries.
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Affiliation(s)
- Marijn Prins
- Netherlands Institute for Health Services Research, Utrecht, The Netherlands.
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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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Affiliation(s)
- Lawrence H Yang
- Department of Epidemiology, Columbia University, 722 West 168th Street, Room 1610, New York, NY 10032, USA.
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Ashman TA, Cantor JB, Gordon WA, Spielman L, Flanagan S, Ginsberg A, Engmann C, Egan M, Ambrose F, Greenwald B. A randomized controlled trial of sertraline for the treatment of depression in persons with traumatic brain injury. Arch Phys Med Rehabil 2009; 90:733-40. [PMID: 19406291 DOI: 10.1016/j.apmr.2008.11.005] [Citation(s) in RCA: 110] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2008] [Revised: 11/11/2008] [Accepted: 11/11/2008] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To examine the efficacy of sertraline in the treatment of depression after traumatic brain injury (TBI). DESIGN Double-blind, randomized controlled trial. SETTING Research center at a major urban medical center. PARTICIPANTS Subjects were a referred and volunteer sample of 52 participants with TBI, a diagnosis of major depression disorder (MDD), and a score on the Hamilton Rating Scale for Depression (HAM-D) of 18 or greater. The majority of the sample was male (58%), had less than 14 years of education (73%), had incomes below $20,000 (82%), and were from minority backgrounds (75%). Approximately one third of the sample had mild brain injuries, and two thirds had moderate to severe brain injuries. The mean age was 47+/-11, and the mean time since injury was 17+/-14 years. One participant withdrew from the study because of side effects. INTERVENTION Daily oral sertraline in doses starting at 25mg and increasing to therapeutic levels (up to 200mg) or placebo for 10 weeks. MAIN OUTCOME MEASURES The HAM-D, the Beck Anxiety Inventory, and the Life-3 quality of life (QOL). RESULTS No statistically significant differences were found at baseline between drug and placebo groups on baseline measures of depression (24.8+/-7.3 vs 27.7+/-7.0), anxiety (16.4+/-12.3 vs 24.0+/-14.9), or QOL (2.96+/-1.0 vs 2.9+/-0.9). The income level of those receiving placebo was significantly lower than those participants receiving medication. Analyses of covariance revealed significant changes from preintervention to posttreatment for all 3 outcome measures (P<.001) but no group effects. Random-effects modeling did not find any significant difference in patterns of scores of the outcome measures between the placebo and medication groups. CONCLUSIONS Both groups showed improvements in mood, anxiety, and QOL, with 59% of the experimental group and 32% of the placebo group responding to the treatment, defined as a reduction of a person's HAM-D score by 50%.
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Affiliation(s)
- Teresa A Ashman
- Department of Rehabilitation Medicine, Mount Sinai School of Medicine, New York, NY 10029, USA.
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National comorbidity survey replication adolescent supplement (NCS-A): III. Concordance of DSM-IV/CIDI diagnoses with clinical reassessments. J Am Acad Child Adolesc Psychiatry 2009; 48:386-399. [PMID: 19252450 PMCID: PMC3040100 DOI: 10.1097/chi.0b013e31819a1cbc] [Citation(s) in RCA: 214] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To report results of the clinical reappraisal study of lifetime DSM-IV diagnoses based on the fully structured lay-administered World Health Organization Composite International Diagnostic Interview (CIDI) Version 3.0 in the U.S. National Comorbidity Survey Replication Adolescent Supplement (NCS-A). METHOD Blinded clinical reappraisal interviews with a probability subsample of 347 NCS-A respondents were administered using the Schedule for Affective Disorders and Schizophrenia for School-Age Children (K-SADS) as the gold standard. The DSM-IV/CIDI cases were oversampled, and the clinical reappraisal sample was weighted to adjust for this oversampling. RESULTS Good aggregate consistency was found between CIDI and K-SADS prevalence estimates, although CIDI estimates were meaningfully higher than K-SADS estimates for specific phobia (51.2%) and oppositional defiant disorder (38.7%). Estimated prevalence of any disorder, in comparison, was only slightly higher in the CIDI than K-SADS (8.3%). Strong individual-level CIDI versus K-SADS concordance was found for most diagnoses. Area under the receiver operating characteristic curve, a measure of classification accuracy not influenced by prevalence, was 0.88 for any anxiety disorder, 0.89 for any mood disorder, 0.84 for any disruptive behavior disorder, 0.94 for any substance disorder, and 0.87 for any disorder. Although area under the receiver operating characteristic curve was unacceptably low for alcohol dependence and bipolar I and II disorders, these problems were resolved by aggregation with alcohol abuse and bipolar I disorder, respectively. Logistic regression analysis documented that consideration of CIDI symptom-level data significantly improved prediction of some K-SADS diagnoses. CONCLUSIONS These results document that the diagnoses made in the NCS-A based on the CIDI have generally good concordance with blinded clinical diagnoses.
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Abstract
OBJECTIVES The first aim of this study was to compare the effectiveness of four commonly used depression screening measures for medically ill populations in identifying depression within a diabetes sample. The second aim was to examine whether the inclusion of a measure for physical symptoms specific to diabetes is also necessary for a diagnosis of depression or alternatively whether any overlap would obscure the effect on the screening measure for depression. RESEARCH DESIGN AND METHODS One hundred fifty patients with Type 2 diabetes in two large public hospital outpatient clinics completed a questionnaire which included the Center for Epidemiological Studies--Depression Scale (CES-D), the Silverstone Concise Assessment for Depression (SCAD), the Hospital Anxiety and Depression Scale (HADS), and the Depression in the Medically Ill (DMI) Questionnaire. Patient scores on these questionnaires were then assessed against their responses on the Composite International Diagnostic Interview Short Form and the Diabetes Symptom Checklist to determine their effectiveness. RESULTS AND CONCLUSIONS Logistic regression and receiver operating curves analysis, including areas under the curves, suggested selecting the CES-D, rather than the DMI-10, HADS or SCAD for screening for depression in a Type 2 diabetic patient. The CES-D performed well at predicting depression, had high sensitivity and specificity, and did not require the addition of diabetes symptoms to aid in diagnosis.
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Brook JS, Stimmel MA, Zhang C, Brook DW. The association between earlier marijuana use and subsequent academic achievement and health problems: a longitudinal study. Am J Addict 2008; 17:155-60. [PMID: 18393060 DOI: 10.1080/10550490701860930] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
In this prospective longitudinal study, the authors investigated the association between marijuana use over a period of 13 years and subsequent health problems at age 27. A community sample of 749 participants from upstate New York was interviewed at mean ages of 14, 16, 22, and 27 years. Marijuana use over time was significantly associated with increased health problems by the late twenties, including respiratory problems, general malaise, neurocognitive problems, and lower academic achievement and functioning. Effective prevention and intervention programs should consider the wide range of adverse physiological and psychosocial outcomes associated with marijuana use over time.
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Affiliation(s)
- Judith S Brook
- Department of Psychiatry, New York University School of Medicine, New York, New York 10016, USA.
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20
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Death or hospitalization of patients on chronic hemodialysis is associated with a physician-based diagnosis of depression. Kidney Int 2008; 74:930-6. [PMID: 18580856 DOI: 10.1038/ki.2008.311] [Citation(s) in RCA: 197] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Depressive symptoms, assessed using a self-report type of questionnaire, have been associated with poor outcomes in dialysis patients. Here we determined if depressive disorders diagnosed by physicians are also associated with such outcomes. Ninety-eight consecutive patients on chronic hemodialysis underwent the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders administered by a physician. Depression was diagnosed in about a quarter of the patients. Associations adjusted for age, gender, race, time on dialysis and co-morbidity were determined using survival analysis. Using time to event (death or hospitalization) models of analysis the hazard ratios were 2.11 and 2.07 in unadjusted and adjusted models respectively. The finding of poor outcome using a formal structured physician interview suggests that a prospective study is needed to determine whether treatment of depression affects clinical outcomes.
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Munce SEP, Stewart DE. Gender differences in depression and chronic pain conditions in a national epidemiologic survey. PSYCHOSOMATICS 2007; 48:394-9. [PMID: 17878497 DOI: 10.1176/appi.psy.48.5.394] [Citation(s) in RCA: 127] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The authors explored gender differences in the prevalence of depression in four chronic pain conditions and pain severity indices in a national database. In 131,535 adults, the prevalence of depression in women (9.1%) was almost twice that of men (5%). One-third (32.8%) had a chronic pain condition (fibromyalgia, arthritis/rheumatism, back problems, and migraine headaches). The prevalence of depression in individuals with chronic pain conditions was 11.3%, versus 5.3% in those without. Women reported higher rates of chronic pain conditions and depression and higher pain severity than men. Depression and chronic pain conditions represent significant sources of disability, especially for women.
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Affiliation(s)
- Sarah E P Munce
- University Health Network, Women's Health Program, 200 Elizabeth St., University of Toronto, Ontario, Canada M5G 2C4.
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Abstract
BACKGROUND Psychiatric epidemiologic surveys since 1980 have relied heavily on a small number of survey diagnostic instruments for case ascertainment, which encode reports of respondents to highly structured interview questions delivered by interviewers without clinical training. Many validations of these survey diagnostic instruments have been carried out. OBJECTIVE This paper reviews the success of the survey diagnostic instruments, for eight diagnostic categories, in validations with a psychiatrist examination as the gold standard. METHOD Public databases were searched for potentially relevant publications, of which more than 1000 were located. Tables show sensitivity, specificity, Kappa, sample source and size, survey instrument and validation method. RESULTS The number of validation studies relevant to the eight disorders ranged from 8 for schizophrenia to 29 for major depressive disorder. Reported sensitivities ranged from zero to 100%, and specificities from 22% to 100%. CONCLUSION Results for common mental disorders such as major depressive disorder, alcohol disorder, drug disorder, and agoraphobic disorder are better than for panic disorder, obsessive compulsive disorder, bipolar disorder, and schizophrenia. The validity of case ascertainment in psychiatric epidemiology is still in question.
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Affiliation(s)
- William W Eaton
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
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Johnson MR, Hartzema AG, Mills TL, De Leon JM, Yang M, Frueh C, Santos A. Ethnic differences in the reliability and validity of a Panic Disorder Screen. ETHNICITY & HEALTH 2007; 12:283-96. [PMID: 17454101 DOI: 10.1080/13557850701235069] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
PURPOSE The purpose of this study was to compare the reliability and validity of the Brief Panic Disorder Screen (BPDS) in samples of African American and Caucasian American primary care patients. METHODS The BPDS was administered to 295 patients scheduled to visit a primary care clinic for medical reasons. The presence or absence of a panic disorder diagnosis was established during a clinical interview with a psychiatrist. Measures of reliability (internal consistency) and validity (criterion validity) were compared between the two ethnic subgroups. FINDINGS The BPDS demonstrated greater reliability and validity for Caucasians than African Americans. This effect was maintained even after controlling for group differences in key demographic variables. Differences between ethnic groups were apparent in both those with and those without panic disorder (PD). BPDS responses of African Americans with PD demonstrated very low internal consistency whereas a high rate of false positive PD diagnoses was related to higher than expected BPDS scores among African Americans without PD, particularly on the level of fear felt when experiencing shortness of breath or heart palpitations. DISCUSSION These findings support the notion that cultural differences in the language and meaning associated with anxiety disorders contribute to the difficulty of accurately diagnosing PD in primary care populations. Additional research is needed to provide a better understanding of the cultural aspects of the anxiety experience. Such research would facilitate the development of better screening tools for panic and other anxiety disorders for ethnic minority primary care populations.
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Cole MG, McCusker J, Dufouil C, Ciampi A, Belzile E. Short-term stability of diagnoses of major and minor depression in older medical inpatients. PSYCHOSOMATICS 2007; 48:38-45. [PMID: 17209148 DOI: 10.1176/appi.psy.48.1.38] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
The authors sought to determine the short-term stability of diagnoses of major and minor depression in older medical inpatients. The investigation was a test-retest design involving comparisons between different pairs of interviewers who assessed patients independently on medical wards of two acute-care, university-affiliated hospitals by use of the Diagnostic Interview Schedule (DIS) at intervals between 1 and 51 days. Patients were 380 cognitively-intact patients age > or =65, assessed twice with the DIS. Core depressive symptoms (depressed mood, loss of interest or pleasure) were more stable than the other depressive symptoms. The presence of moderate-to-severe depressive symptoms, moderate-to-severe disability, and depression symptoms of > or =6 months' duration were associated with a higher short-term stability of diagnosis. Age, gender, language, education, rater, interval between assessments, baseline number of medications, medical comorbidity, severity of medical illness, acute physiology score, and cognitive functioning were not associated with short-term depression stability. Stability of diagnosis may be improved by emphasis on core depressive symptoms or the presence of more severe depressive symptoms, moderate-to-severe disability, and duration of symptoms > or =6 months.
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Affiliation(s)
- Martin G Cole
- Department of Psychiatry, St. Mary's Hospital, 3830 Lacombe Avenue, Montreal, Québec, Canada H3T 1M5.
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Quintana MI, Gastal FL, Jorge MR, Miranda CT, Andreoli SB. Validity and limitations of the Brazilian version of the Composite International Diagnostic Interview (CIDI 2.1). REVISTA BRASILEIRA DE PSIQUIATRIA 2006. [DOI: 10.1590/s1516-44462006005000024] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
OBJECTIVE: To study the concurrent validity of the Brazilian Composite International Diagnostic Interview 2.1 using as gold standard the clinical diagnoses based on the ICD-10 criteria and the Longitudinal, Expert, All Data (LEAD) procedure. METHOD: The sample was composed of 185 subjects selected at psychiatric hospitals, psychiatric outpatient units, the community, and primary care services. These individuals were intentionally selected according to 9 diagnostic groups. Instruments: Composite International Diagnostic Interview (CIDI-core) version 2.1 (paper-and-pencil) administered by 16 trained interviewers. Analysis: concurrent validity of diagnoses of the Composite International Diagnostic Interview 12-month. RESULTS: Values found for sensitivity and specificity in each diagnosis were: alcohol-related disorders (79.5%/97.2%); psychoactive substance-related disorders (77.3%/100%); schizophrenia and other psychotic disorders (28.6%/93.9%); manic episode and bipolar affective disorder (38.9%/96.4%); depressive disorder (82.5%/ 93.8%); phobic-anxiety disorder (80.6%/93.5%); obsessive-compulsive disorder (18.2%/98.9%); somatoform disorder (41.7%/90.8%); eating disorder (45.5%/100.0%). CONCLUSION: The Composite International Diagnostic Interview proved to be valid for diagnoses of alcohol-related disorders, psychoactive substance-related disorders, depressive disorder and phobic-anxiety disorder. The probable explanations for the poor performance for the other diagnoses were: necessity of some clinical judgement by the lay interviewer; difficulty to use the Probe Flow Chart; interviewees' difficulty of understanding; and lack of mechanisms to certify the veracity of the information.
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Munce SEP, Weller I, Robertson Blackmore EK, Heinmaa M, Katz J, Stewart DE. The role of work stress as a moderating variable in the chronic pain and depression association. J Psychosom Res 2006; 61:653-60. [PMID: 17084143 DOI: 10.1016/j.jpsychores.2006.03.048] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2005] [Revised: 02/16/2006] [Accepted: 03/28/2006] [Indexed: 11/25/2022]
Abstract
OBJECTIVE This article aims to examine the role of work stress as a moderating variable in the chronic pain-depression association, as well as sex differences in this link. METHODS The analyses were carried out using the Canadian Community Health Survey Cycle 1.1. Key variables were chronic pain conditions (fibromyalgia, arthritis/rheumatism, back problems, and migraine headaches), work stress, and depression. The total sample comprises 78,593 working individuals. RESULTS In this working sample, 7.6% met criteria for major depression, but the prevalence increased to 12% in those also reporting chronic pain. Both depression and comorbid chronic pain and depression were twice as prevalent in women as in men. Having a chronic pain condition and overall work stress emerged as the strongest predictors of depression. Unexpectedly, however, none of the work stress domains moderated the chronic pain and depression association. CONCLUSION The impact of work stress should be considered in the etiology and management of major depression.
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Affiliation(s)
- Sarah E P Munce
- Women's Health Program, University Health Network, University of Toronto, Toronto, Ontario, Canada.
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Hedayati SS, Bosworth HB, Kuchibhatla M, Kimmel PL, Szczech LA. The predictive value of self-report scales compared with physician diagnosis of depression in hemodialysis patients. Kidney Int 2006; 69:1662-8. [PMID: 16598203 DOI: 10.1038/sj.ki.5000308] [Citation(s) in RCA: 222] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The prevalence of depression in end-stage renal disease (ESRD) patients on hemodialysis has not been definitively determined. We examined the prevalence of depression and the sensitivity, specificity, positive, and negative likelihood ratios (+LR and -LR) of self-report scales using the physician-administered Structured Clinical Interview for Depression (SCID) as the comparison. Ninety-eight consecutive patients completed the Beck Depression Inventory (BDI) and the Center for Epidemiological Study of Depression (CESD) scales. A physician blinded to BDI and CESD scores administered the SCID. Receiver/responder operating characteristic curves determined the best BDI and CESD cutoffs for depression. Depressed patients had more co-morbidities and lower quality of life, P<0.05. The prevalence of depression by SCID was 26.5% and of major depression was 17.3%. The CESD cutoff with the best diagnostic accuracy was 18, with sensitivity 69% (95% confidence interval (CI) (51%, 87%)), specificity 83% (95% CI (74%, 92%)), positive predictive value (PPV) 60%, negative predictive value (NPV) 88%, +LR 4.14, and -LR 0.37. The best BDI cutoff was 14, with sensitivity 62% (95% CI (43%, 81%)), specificity 81% (95% CI (72%, 90%)), PPV 53%, NPV 85%, +LR 3.26, and -LR 0.47. Self-report scales have high +LR but low -LR for diagnosis of depression. When used for screening, the threshold for depression should be higher for ESRD compared with non-ESRD patients. Identifying depression using physician interview is important, given the low -LR of self-report scales.
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Affiliation(s)
- S S Hedayati
- Department of Medicine, Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
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Hilton TM, Parker G, McDonald S, Heruc GA, Olley A, Brotchie H, Friend C, Walsh WF. A Validation Study of Two Brief Measures of Depression in the Cardiac Population: The DMI-10 and DMI-18. PSYCHOSOMATICS 2006; 47:129-35. [PMID: 16508024 DOI: 10.1176/appi.psy.47.2.129] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The authors report on the psychometric characteristics and clinical efficacy of two versions of a recently developed screening measure of depression (the DMI-18 and DMI-10) in the cardiac population. Patients with acute coronary syndrome or heart failure (N = 322) completed the DMI measures, psychosocial questionnaires, and a semistructured clinical interview during the hospital stay. The DMI-18 and DMI-10 measures have adequate psychometric properties, demonstrating high sensitivity and specificity when evaluated against clinical judgment based on a semistructured interview. The DMI-18 and DMI-10 are appropriate for use as screening instruments in cardiac patients.
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Affiliation(s)
- Therese M Hilton
- Black Dog Institute, Prince of Wales Hospital, Sydney, Australia.
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Haro JM, Arbabzadeh‐Bouchez S, Brugha TS, De Girolamo G, Guyer ME, Jin R, Lepine JP, Mazzi F, Reneses B, Vilagut G, Sampson NA, Kessler RC. Concordance of the Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) with standardized clinical assessments in the WHO World Mental Health surveys. Int J Methods Psychiatr Res 2006; 15:167-80. [PMID: 17266013 PMCID: PMC6878271 DOI: 10.1002/mpr.196] [Citation(s) in RCA: 824] [Impact Index Per Article: 45.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The DSM-IV diagnoses generated by the fully structured lay-administered Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) in the WHO World Mental Health (WMH) surveys were compared to diagnoses based on follow-up interviews with the clinician-administered non-patient edition of the Structured Clinical Interview for DSM-IV (SCID) in probability subsamples of the WMH surveys in France, Italy, Spain, and the US. CIDI cases were oversampled. The clinical reappraisal samples were weighted to adjust for this oversampling. Separate samples were assessed for lifetime and 12-month prevalence. Moderate to good individual-level CIDI-SCID concordance was found for lifetime prevalence estimates of most disorders. The area under the ROC curve (AUC, a measure of classification accuracy that is not influenced by disorder prevalence) was 0.76 for the dichotomous classification of having any of the lifetime DSM-IV anxiety, mood and substance disorders assessed in the surveys and in the range 0.62-0.93 for individual disorders, with an inter-quartile range (IQR) of 0.71-0.86. Concordance increased when CIDI symptom-level data were added to predict SCID diagnoses in logistic regression equations. AUC for individual disorders in these equations was in the range 0.74-0.99, with an IQR of 0.87-0.96. CIDI lifetime prevalence estimates were generally conservative relative to SCID estimates. CIDI-SCID concordance for 12-month prevalence estimates could be studied powerfully only for two disorder classes, any anxiety disorder (AUC = 0.88) and any mood disorder (AUC = 0.83). As with lifetime prevalence, 12-month concordance improved when CIDI symptom-level data were added to predict SCID diagnoses. CIDI 12-month prevalence estimates were unbiased relative to SCID estimates. The validity of the CIDI is likely to be under-estimated in these comparisons due to the fact that the reliability of the SCID diagnoses, which is presumably less than perfect, sets a ceiling on maximum CIDI-SCID concordance.
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Affiliation(s)
- Josep Maria Haro
- Fundació Sant Joan de Déu per la Recerca i la Docència, Barcelona, Spain
| | | | | | | | | | - Robert Jin
- Harvard Medical School, Department of Health Care Policy, Boston, USA
| | | | - Fausto Mazzi
- Universita degli Studi di Modena e Regio, Emilia, Italy
| | - Blanca Reneses
- Hospital Clinico San Carlos, Department of Psychiatry, Madrid, Spain
| | - Gemma Vilagut
- Health Services Research Unit, Institut Municipal d′Investigació Mèdica, Barcelona, Spain
| | - Nancy A. Sampson
- Harvard Medical School, Department of Health Care Policy, Boston, USA
| | - Ronald C. Kessler
- Harvard Medical School, Department of Health Care Policy, Boston, USA
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Di Benedetto M, Lindner H, Hare DL, Kent S. Depression following acute coronary syndromes: a comparison between the Cardiac Depression Scale and the Beck Depression Inventory II. J Psychosom Res 2006; 60:13-20. [PMID: 16380305 DOI: 10.1016/j.jpsychores.2005.06.003] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2004] [Indexed: 10/25/2022]
Abstract
OBJECTIVE This study compared the Cardiac Depression Scale (CDS) and the Beck Depression Inventory II (BDI-II). METHOD Depression was assessed in 81 participants, 2 weeks post-ACS, using the BDI-II and the Composite International Diagnostic Interview. RESULTS The CDS had a strong concurrent validity with the BDI-II (r=.69). Cross-validation of the BDI-II and the CDS with the structured interview demonstrated the ability of both measures to detect severe symptoms. More patients were classified as depressed using the CDS. The CDS also had a significantly higher correlation with a trait anxiety measure than the BDI-II did. CONCLUSION The CDS is a more suitable scale for assessing the less severe depressive symptoms typically seen in a cardiac population.
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Abstract
Chronic pain and depression are two of the most common health problems that health professionals encounter, yet only a handful of epidemiological studies have investigated the relationship between these conditions in the general population. In the present study we examined the prevalence and correlates of major depression in persons with chronic back pain using data from the first cycle of Canadian Community Health Survey in a sample of 118,533 household residents. The prevalence of chronic back pain was estimated at 9% of persons 12 years and older. Rates of major depression, determined by the short-form of the Composite International Diagnostic Interview, were estimated at 5.9% for pain-free individuals and 19.8% for persons with chronic back pain. The rate of major depression increased in a linear fashion with greater pain severity. In logistic regression models, back pain emerged as the strongest predictor of major depression after adjusting for possible confounding factors such as demographics and medical co-morbidity. The combination of chronic back pain and major depression was associated with greater disability than either condition alone, although pain severity was found to be the strongest overall predictor of disability.
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Affiliation(s)
- Shawn R Currie
- Addiction Centre, Foothills Medical Centre, 1403-29th St. NW, Calgary, Alberta, Canada T2N 2T9.
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Petrak F, Hardt J, Wittchen HU, Kulzer B, Hirsch A, Hentzelt F, Borck K, Jacobi F, Egle UT, Hoffmann SO. Prevalence of psychiatric disorders in an onset cohort of adults with type 1 diabetes. Diabetes Metab Res Rev 2003; 19:216-22. [PMID: 12789655 DOI: 10.1002/dmrr.374] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Previous studies indicate a high prevalence of psychiatric disorders in adults with type 1 diabetes mellitus. The aim of our study was to determine if newly diagnosed adults with type 1 diabetes already have an elevated rate of psychiatric disorders at the beginning of their physical illness. METHODS The authors consecutively recruited 313 newly diagnosed, adult inpatients with type 1 diabetes (age 17-40 years) from 12 hospitals. A national, representative population sample of 2046 persons of a similar age range served as the reference group. Psychiatric disorders were measured in both groups using structured interviews that provided diagnoses according to DSM-IV. RESULTS There was a point prevalence of 12.5% for psychiatric disorders in the sample. The most frequent conditions were anxiety and affective disorders. Subjects with type 1 diabetes demonstrated a rate of major depressive episodes twice that of the reference group (5.8% vs 2.7%, p < 0.003; corrected for confounders). Apart from this finding, there was no significantly increased prevalence of psychiatric disorders in the diabetes sample as compared to the general German population. CONCLUSION The rate of major depressive episodes in the new onset cohort of type 1 diabetes patients was double that of the population as a whole. However, the hypothesis, that newly diagnosed type 1 diabetes patients have more psychiatric disorders than the general population, was not confirmed.
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Affiliation(s)
- Frank Petrak
- Department for Psychosomatic Medicine and Psychotherapy, Johannes Gutenberg University Mainz, Untere Zahlbacherstrasse 8, D-55131 Mainz, Germany.
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Abstract
OBJECTIVES To examine the association between parental affective disorders and psychoactive substance use disorders and the onset of major depressive disorder (MDD) among adolescents and young adults and to determine whether this association is affected by stressful life events, family cohesion, self-esteem, or gender. METHOD Prospective cohort study of 804 adolescents, aged 11-17 years, and their parents who were followed for seven consecutive years. The sample was drawn from the Minneapolis-St. Paul metropolitan area. Parental diagnoses were based on Structured Clinical Interview for administered during study screening stage. Diagnoses of MDD and age of onset were based on Composite International Diagnostic Interview 2.1 administered during final year of data collection. RESULTS Of the correlates examined, only parental affective disorders, low self-esteem, and gender were significantly related to the onset of MDD. Females were twice as likely as males to experience MDD. CONCLUSIONS The direct association between parental affective disorders and MDD onset was not affected by family cohesion, self-esteem, or stressful life events; thus more research is needed on other factors that may affect this association, such as genetic factors or other family- and intrapersonal-based variables.
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Affiliation(s)
- John P Hoffmann
- Department of Sociology, Brigham Young University, Provo, UT 84602, USA.
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Wang JL, Reimer MA, Metz LM, Patten SB. Major depression and quality of life in individuals with multiple sclerosis. Int J Psychiatry Med 2001; 30:309-17. [PMID: 11308035 DOI: 10.2190/pgwt-uxj0-7ueh-lgry] [Citation(s) in RCA: 66] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To compare the Quality of Life (QOL) of multiple sclerosis (MS) patients with and without lifetime major depression. METHOD Data on 136 MS subjects sampled from the University of Calgary MS Clinic were collected. The WHO's Composite International Diagnostic Interview (CIDI) was used to diagnose lifetime major depression. The MSQOL-54 was administered to evaluate QOL of the subjects. RESULTS Thirty one (22.8 percent) of the 136 MS subjects had lifetime major depression, However, only 6 of these had a current episode at the time of data collection. MS patients with lifetime major depression had significantly lower MSQOL-54 scores in the QOL domains of Energy, Mental Health, Cognitive Function, General Quality of Life, Sexual Function, and Role Limitation-Emotional than the MS patients without lifetime major depression. CONCLUSIONS Lifetime major depression may have a substantial impact on the QOL of people with MS. Alternatively, MS patients with poor QOL may be at greater risk of major depression.
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Descriptive diagnostic assessment of depression Categorical diagnosis, dimensional assessment, and instruments. Acta Neuropsychiatr 2001; 13:2-12. [PMID: 26983762 DOI: 10.1017/s0924270800035298] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The descriptive diagnostics constitute the first step, the base and the prerequisite for the psychodiagnostic process and the treatment of depression. Within the descriptive diagnostics, two approaches are distinguished, namely (1) the differentiation between dimensional and categorical levels of measurement and (2) the consideration of the influence of the applied method: questionnaire versus interview. Departing from these approaches, a review of the most widely used instruments on depression is given, with a focus on the reliability and validity of the dimensional depression instruments, based on the findings of our research group. The importance of the differentiation between dimensional and categorical levels of measurement can also be recognised within the discussion on quantitative/dimensional versus qualitative/categorical taxonomic views on depression. The Integrated Threshold Model, which integrates both the quantitative and the qualitative view on the classification of depressive disorders, is considered. By way of conclusion, a diagnostic multi level/modality/method strategy is discussed and a specific test battery, which can be particularly useful within a research context, is presented.
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Abstract
Patients seen in primary medical clinics report higher rates of major depression [Pérez-Stable et al., 1990: Arch Intern Med 15:1083-1088], and panic disorder [Sherbourne et al., 1996b: Von Korff et al., 1987: Arch Gen Psychiatry 44:152-156] than the general population. Primary care staff therefore need efficient methods of identifying patients with psychiatric disorders. The current study evaluates the use of several brief psychiatric screening measures for identifying patients with major depression and/or anxiety disorders. Participants were 213 primary care patients who received the Center for Epidemiological Studies Depression Scale (CES-D), the Beck Anxiety Inventory (BAI), and two new instruments, the Autonomic Nervous System Questionnaire (ANS) for assessing panic disorder and the Social Phobia Questionnaire (SPQ) for assessing social phobia. Participants received both the screening instruments and a structured diagnostic interview. Results suggest that the CES-D is a useful measure for detecting psychopathology, but it is not particularly specific to depression, the ANS was a highly sensitive and reasonably specific measure for panic disorder, and the SPQ was reasonably sensitive and specific for social phobia. The BAI was a relatively poor screening measure that added no significant information beyond the other measures.
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Booth BM, Blow FC, Loveland Cook CA. Persistence of impaired functioning and psychological distress after medical hospitalization for men with co-occurring psychiatric and substance use disorders. J Gen Intern Med 2001. [PMID: 11251751 PMCID: PMC1495154 DOI: 10.1111/j.1525-1497.2001.05099.x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To measure the persistence of impaired health-related quality of life (HRQL) and psychological distress associated with co-occurring psychiatric and substance use disorders in a longitudinal sample of medically hospitalized male veterans. DESIGN A random sample followed observationally for 1 year after study enrollment. SETTING Inpatient medical and surgical wards at 3 university-affiliated Department of Veterans Affairs Medical Centers. PATIENTS/PARTICIPANTS A random sample of 1,007 admissions to medical and surgical inpatient services, excluding women and admissions for psychiatric reasons. A subset of participants (n = 736) was designated for longitudinal follow-up assessments at 3 and 12 months after study enrollment. This subset was selected to include all possible participants with study-administered psychiatric diagnoses (52%) frequency-matched by date of study enrollment to approximately equivalent numbers of participants without psychiatric diagnoses (48%). MEASUREMENTS AND MAIN RESULTS All participants were administered a computerized structured psychiatric diagnostic interview for 13 psychiatric (include substance use) disorders and received longitudinal assessments at 3 and 12months on a multidimensional measure of HRQL, the SF-36, and a measure of psychological distress, the Symptom Checklist, 90-item version. On average, HRQL declined and psychological distress increased over time (P <.05). Psychiatric disorders were associated with significantly greater impairments in functioning and increased distress on all measures (P <.001) except physical functioning (P <.05). These results were replicated in the patients (n = 130) who received inpatient or outpatient mental health or substance abuse services. CONCLUSIONS General medical physicians need to evaluate the mental health status of their hospitalized and seriously ill patients. Effective mental health interventions can be initiated posthospitalization, either immediately in primary care or through referral to appropriate specialty care, and should improve health functioning over time.
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Affiliation(s)
- B M Booth
- HSR&D Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System and Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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Patten SB, Metz LM, Reimer MA. Biopsychosocial correlates of lifetime major depression in a multiple sclerosis population. Mult Scler 2000; 6:115-20. [PMID: 10773857 DOI: 10.1177/135245850000600210] [Citation(s) in RCA: 130] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The objective of this paper was to evaluate the lifetime and point prevalence of major depression in a population-based Multiple Sclerosis (MS) clinic sample, and to describe associations between selected biopsychosocial variables and the prevalence of lifetime major depression in this sample. Subjects who had participated in an earlier study were re-contacted for additional data collection. Eighty-three per cent (n=136) of those eligible consented to participate. Each subject completed the Composite International Diagnostic Interview (CIDI) and an interviewer-administered questionnaire evaluating a series of biopsychosocial variables. The lifetime prevalence of major depression in this sample was 22.8%, somewhat lower than previous estimates in MS clinic populations. Women, those under 35, and those with a family history of major depression had a higher prevalence. Also, subjects reporting high levels of stress and heavy ingestion of caffeine (>400 mg) had a higher prevalence of major depression. As this was a cross-sectional analysis, the direction of causal effect for the observed associations could not be determined. By identifying variables that are associated with lifetime major depression, these data generate hypotheses for future prospective studies. Such studies will be needed to further understand the etiology of depressive disorders in MS.
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Affiliation(s)
- S B Patten
- Department of Community Health Sciences, Faculty of Medicine, University of Calgary, 3330 Hospital Drive NW Calgary, Alberta T2N 4N1, Canada
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