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      Adjustment Disorder: Current Developments and Future Directions

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          Abstract

          Despite its high prevalence in clinical and consultant liaison psychiatry populations, adjustment disorder research has traditionally been hindered by its lack of clear diagnostic criteria. However, with the greater diagnostic clarity provided in the Diagnostic and Statistical Manual of Mental Disorders – fifth edition (DSM-5) and the International Statistical Classification of Diseases and Related Health Problems, 11th edition (ICD-11), adjustment disorder has been increasingly recognised as an area of research interest. This paper evaluates the commonalities and differences between the ICD-11 and DSM-5 concepts of adjustment disorder and reviews the current state of knowledge regarding its symptom profile, course, assessment, and treatment. In doing so, it identifies the gaps in our understanding of adjustment disorder and discusses future directions for research.

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

          Ronald C Kessler, T Üstün (2004)
          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. Copyright © 2004 Whurr Publishers Ltd.
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            The Clinician-Administered PTSD Scale for DSM-5 (CAPS-5): Development and Initial Psychometric Evaluation in Military Veterans.

            Frank W Weathers, Michelle J Bovin, Daniel J Lee … (2017)
            The Clinician-Administered PTSD Scale (CAPS) is an extensively validated and widely used structured diagnostic interview for posttraumatic stress disorder (PTSD). The CAPS was recently revised to correspond with PTSD criteria in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; American Psychiatric Association, 2013). This article describes the development of the CAPS for DSM-5 (CAPS-5) and presents the results of an initial psychometric evaluation of CAPS-5 scores in 2 samples of military veterans (Ns = 165 and 207). CAPS-5 diagnosis demonstrated strong interrater reliability (к = .78 to 1.00, depending on the scoring rule) and test-retest reliability (к = .83), as well as strong correspondence with a diagnosis based on the CAPS for DSM-IV (CAPS-IV; к = .84 when optimally calibrated). CAPS-5 total severity score demonstrated high internal consistency (α = .88) and interrater reliability (ICC = .91) and good test-retest reliability (ICC = .78). It also demonstrated good convergent validity with total severity score on the CAPS-IV (r = .83) and PTSD Checklist for DSM-5 (r = .66) and good discriminant validity with measures of anxiety, depression, somatization, functional impairment, psychopathy, and alcohol abuse (rs = .02 to .54). Overall, these results indicate that the CAPS-5 is a psychometrically sound measure of DSM-5 PTSD diagnosis and symptom severity. Importantly, the CAPS-5 strongly corresponds with the CAPS-IV, which suggests that backward compatibility with the CAPS-IV was maintained and that the CAPS-5 provides continuity in evidence-based assessment of PTSD in the transition from DSM-IV to DSM-5 criteria. (PsycINFO Database Record
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              Trajectories of trauma symptoms and resilience in deployed U.S. military service members: prospective cohort study.

              George Bonanno, Gary Gackstetter, Tomoko I Hooper … (2012)
              Most previous attempts to determine the psychological cost of military deployment have been limited by reliance on convenience samples, lack of pre-deployment data or confidentiality and cross-sectional designs. This study addressed these limitations using a population-based, prospective cohort of U.S. military personnel deployed in support of the operations in Iraq and Afghanistan. The sample consisted of U.S. military service members in all branches including active duty, reserve and national guard who deployed once (n = 3393) or multiple times (n = 4394). Self-reported symptoms of post-traumatic stress were obtained prior to deployment and at two follow-ups spaced 3 years apart. Data were examined for longitudinal trajectories using latent growth mixture modelling. Each analysis revealed remarkably similar post-traumatic stress trajectories across time. The most common pattern was low-stable post-traumatic stress or resilience (83.1% single deployers, 84.9% multiple deployers), moderate-improving (8.0%, 8.5%), then worsening-chronic post-traumatic stress (6.7%, 4.5%), high-stable (2.2% single deployers only) and high-improving (2.2% multiple deployers only). Covariates associated with each trajectory were identified. The final models exhibited similar types of trajectories for single and multiple deployers; most notably, the stable trajectory of low post-traumatic stress preto post-deployment, or resilience, was exceptionally high. Several factors predicting trajectories were identified, which we hope will assist in future research aimed at decreasing the risk of post-traumatic stress disorder among deployers.
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                Author and article information

                Journal
                Journal ID (nlm-ta): Int J Environ Res Public Health
                Journal ID (iso-abbrev): Int J Environ Res Public Health
                Journal ID (publisher-id): ijerph
                Title: International Journal of Environmental Research and Public Health
                Publisher: MDPI
                ISSN (Print): 1661-7827
                ISSN (Electronic): 1660-4601
                Publication date (Electronic): 16 July 2019
                Publication date (Print): July 2019
                Volume: 16
                Issue: 14
                Electronic Location Identifier: 2537
                Affiliations
                [1 ]Phoenix Australia Centre for Posttraumatic Mental Health, 161 Barry Street, Carlton VIC, Melbourne 3053, Australia
                [2 ]Department of Psychiatry, University of Melbourne, Melbourne 3053, Australia
                Author notes
                [* ]Correspondence: mod@ 123456unimelb.edu.au
                Author information
                https://orcid.org/0000-0003-3048-1311
                https://orcid.org/0000-0002-4207-5882
                Article
                Publisher ID: ijerph-16-02537
                DOI: 10.3390/ijerph16142537
                PMC ID: 6678970
                PubMed ID: 31315203
                SO-VID: 3120cac5-b359-4675-b749-a6cfc1b0d07c
                Copyright © © 2019 by the authors.
                License:

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                Date received : 26 June 2019
                Date accepted : 10 July 2019
                Categories
                Subject: Review

                ScienceOpen disciplines: Public health
                Keywords: adjustment disorder,review,diagnosis,symptoms,nosology,dsm-5,icd-11,course,trajectory,treatment
                Data availability:
                ScienceOpen disciplines: Public health
                Keywords: adjustment disorder, review, diagnosis, symptoms, nosology, dsm-5, icd-11, course, trajectory, treatment

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