International Journal of Methods in Psychiatric Research 

About: International Journal of Methods in Psychiatric Research is an academic journal published by Wiley-Blackwell. The journal publishes majorly in the area(s): Population & Mental health. It has an ISSN identifier of 1049-8931. It is also open access. Over the lifetime, 876 publications have been published receiving 57281 citations. The journal is also known as: Int J Methods Psychiatr Res & Methods in psychiatric research.

The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI).

Abstract: This paper presents an overview of the World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) and a discussion of the methodological research on which the development of the instrument was based. The WMH-CIDI includes a screening module and 40 sections that focus on diagnoses (22 sections), functioning (four sections), treatment (two sections), risk factors (four sections), socio-demographic correlates (seven sections), and methodological factors (two sections). Innovations compared to earlier versions of the CIDI include expansion of the diagnostic sections, a focus on 12-month as well as lifetime disorders in the same interview, detailed assessment of clinical severity, and inclusion of information on treatment, risk factors, and consequences. A computer-assisted version of the interview is available along with a direct data entry software system that can be used to keypunch responses to the paper-and-pencil version of the interview. Computer programs that generate diagnoses are also available based on both ICD-10 and DSM-IV criteria. Elaborate CD-ROM-based training materials are available to teach interviewers how to administer the interview as well as to teach supervisors how to monitor the quality of data collection.

Twelve‐month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States.

Abstract: Estimates of 12-month and lifetime prevalence and of lifetime morbid risk (LMR) of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) anxiety and mood disorders are presented based on US epidemiological surveys among people aged 13+. The presentation is designed for use in the upcoming DSM-5 manual to provide more coherent estimates than would otherwise be available. Prevalence estimates are presented for the age groups proposed by DSM-5 workgroups as the most useful to consider for policy planning purposes. The LMR/12-month prevalence estimates ranked by frequency are as follows: major depressive episode: 29.9%/8.6%; specific phobia: 18.4/12.1%; social phobia: 13.0/7.4%; post-traumatic stress disorder: 10.1/3.7%; generalized anxiety disorder: 9.0/2.0%; separation anxiety disorder: 8.7/1.2%; panic disorder: 6.8%/2.4%; bipolar disorder: 4.1/1.8%; agoraphobia: 3.7/1.7%; obsessive-compulsive disorder: 2.7/1.2. Four broad patterns of results are most noteworthy: first, that the most common (lifetime prevalence/morbid risk) lifetime anxiety-mood disorders in the United States are major depression (16.6/29.9%), specific phobia (15.6/18.4%), and social phobia (10.7/13.0%) and the least common are agoraphobia (2.5/3.7%) and obsessive-compulsive disorder (2.3/2.7%); second, that the anxiety-mood disorders with the earlier median ages-of-onset are phobias and separation anxiety disorder (ages 15-17) and those with the latest are panic disorder, major depression, and generalized anxiety disorder (ages 23-30); third, that LMR is considerably higher than lifetime prevalence for most anxiety-mood disorders, although the magnitude of this difference is much higher for disorders with later than earlier ages-of-onset; and fourth, that the ratio of 12-month to lifetime prevalence, roughly characterizing persistence, varies meaningfully in ways consistent with independent evidence about differential persistence of these disorders.

The World Health Organization Composite International Diagnostic Interview short-form (CIDI-SF)

Abstract: Data are reported on a series of short-form (SF) screening scales of DSM-III-R psychiatric disorders developed from the World Health Organization's Composite International Diagnostic Interview (CIDI). A multi-step procedure was used to generate CIDI-SF screening scales for each of eight DSM disorders from the US National Comorbidity Survey (NCS). This procedure began with the subsample of respondents who endorsed the CIDI diagnostic stem question for a given disorder and then used a series of stepwise regression analyses to select a subset of screening questions to maximize reproduction of the full CIDI diagnosis. A small number of screening questions, between three and eight for each disorder, was found to account for the significant associations between symptom ratings and CIDI diagnoses. Summary scales made up of these symptom questions correctly classify between 77% and 100% of CIDI cases and between 94% and 99% of CIDI non-cases in the NCS depending on the diagnosis. Overall classification accuracy ranged from a low of 93% for major depressive episode to a high of over 99% for generalized anxiety disorder. Pilot testing in a nationally representative telephone survey found that the full set of CIDI-SF scales can be administered in an average of seven minutes compared to over an hour for the full CIDI. The results are quite encouraging in suggesting that diagnostic classifications made in the full CIDI can be reproduced with excellent accuracy with the CIDI-SF scales. Independent verification of this reproduction accuracy, however, is needed in a data set other than the one in which the CIDI-SF was developed. Copyright © 1998 Whurr Publishers Ltd.

Multiple Imputation by Chained Equations: What is it and how does it work?

Abstract: Multivariate imputation by chained equations (MICE) has emerged as a principled method of dealing with missing data. Despite properties that make MICE particularly useful for large imputation procedures and advances in software development that now make it accessible to many researchers, many psychiatric researchers have not been trained in these methods and few practical resources exist to guide researchers in the implementation of this technique. This paper provides an introduction to the MICE method with a focus on practical aspects and challenges in using this method. A brief review of software programs available to implement MICE and then analyze multiply imputed data is also provided.