Literature DB >> 32736153

Diagnostic inflation in the DSM: A meta-analysis of changes in the stringency of psychiatric diagnosis from DSM-III to DSM-5.

Fabian Fabiano1, Nick Haslam2.   

Abstract

It is often argued that successive editions of the Diagnostic and Statistical Manual of Mental Disorders (DSM) have relaxed diagnostic criteria and thereby inflated rates of diagnosis. This claim has yet to be examined systematically. We quantitatively reviewed 123 studies in which one sample was concurrently diagnosed using two consecutive DSM editions (i.e., DSM-III & DSM-III-R, DSM-III-R & DSM-IV, or DSM-IV & DSM-5). Meta-analysis of 476 risk ratios enabled 123 comparisons of diagnostic rates for specific disorders. Comparisons demonstrating diagnostic inflation (i.e., higher diagnostic rate in the later edition) did not exceed those demonstrating deflation. The average risk ratio was 1.00, indicating no overall change in diagnostic stringency from DSM-III to DSM-5, and there were no reliable tendencies for particular DSM revisions to be more inflationary or deflationary than others. Specific disorders showing reliable evidence of diagnostic inflation or deflation were identified. Notable examples of diagnostic inflation included Attention-Deficit/Hyperactivity Disorder (ADHD), autism, eating disorders, and substance dependence. Although serious concerns have been raised about diagnostic inflation or "concept creep" in the DSM, these concerns may have been overstated.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Classification; Concept creep; DSM; Diagnosis; Overdiagnosis

Year:  2020        PMID: 32736153     DOI: 10.1016/j.cpr.2020.101889

Source DB:  PubMed          Journal:  Clin Psychol Rev        ISSN: 0272-7358


  8 in total

1.  Momentary associations between stress and alcohol craving in the naturalistic environment: differential associations for Black and White young adults.

Authors:  Sarah L Pedersen; Traci M Kennedy; Jordan Holmes; Brooke S G Molina
Journal:  Addiction       Date:  2021-12-03       Impact factor: 6.526

2.  An AI-based Decision Support System for Predicting Mental Health Disorders.

Authors:  Salih Tutun; Marina E Johnson; Abdulaziz Ahmed; Abdullah Albizri; Sedat Irgil; Ilker Yesilkaya; Esma Nur Ucar; Tanalp Sengun; Antoine Harfouche
Journal:  Inf Syst Front       Date:  2022-05-28       Impact factor: 5.261

3.  Association of Attention-Deficit/Hyperactivity Disorder in Childhood and Adolescence With the Risk of Subsequent Psychotic Disorder: A Systematic Review and Meta-analysis.

Authors:  Mikaïl Nourredine; Adrien Gering; Pierre Fourneret; Benjamin Rolland; Bruno Falissard; Michel Cucherat; Marie-Maude Geoffray; Lucie Jurek
Journal:  JAMA Psychiatry       Date:  2021-05-01       Impact factor: 21.596

Review 4.  Concept Creep and Psychiatrization.

Authors:  Nick Haslam; Jesse S Y Tse; Simon De Deyne
Journal:  Front Sociol       Date:  2021-12-16

5.  Global, regional and national burden of autism spectrum disorder from 1990 to 2019: results from the Global Burden of Disease Study 2019.

Authors:  Zhen Li; Lejin Yang; Hui Chen; Yuan Fang; Tongchao Zhang; Xiaolin Yin; Jinyu Man; Xiaorong Yang; Ming Lu
Journal:  Epidemiol Psychiatr Sci       Date:  2022-05-10       Impact factor: 7.818

6.  The interplay of ADHD characteristics and executive functioning with the GPA and divergent thinking of engineering students: A conceptual replication and extension.

Authors:  Christa L Taylor; Arash Esmaili Zaghi
Journal:  Front Psychol       Date:  2022-07-27

7.  Too Much, Too Mild, Too Early: Diagnosing the Excessive Expansion of Diagnoses.

Authors:  Bjørn Hofmann
Journal:  Int J Gen Med       Date:  2022-08-06

8.  Psychiatric comorbidities in adult patients with epilepsy (A systematic review).

Authors:  Raluca Simona Gurgu; Adela Magdalena Ciobanu; Roxana Ionela Danasel; Cristina Aura Panea
Journal:  Exp Ther Med       Date:  2021-06-28       Impact factor: 2.447

  8 in total

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