Why Psychiatric Research Must Abandon Traditional Diagnostic Classification and Adopt a Fully Dimensional Scope
Two Solutions to a Persistent Problem
Bibliographic Data
| ID | 15516676 |
|---|---|
| Authors | Michael P Hengartner (0000-0002-2956-2969, ZHAW Zurich University of Applied Sciences, corresponding author), Sandrine N Lehmann (University Hospital of Zurich) |
| Year | 2017 |
| Volume | 8 |
| Pages | 101-101 |
| Publication date | 2017-06-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2017.00101 |
| PMID | 28638352 |
| OpenAlex | W2622856252 |
| Language | EN |
| Citations received | 15 |
| References cited | 71 |
Psychiatric research is still strongly influenced by its major classification schemes, the DSM-5 (1) and ICD-10 (2). According to these diagnostic classification systems, psychiatric nosology is construed based on multinomial taxonomic distinctions, i.e., a set of putatively independent disorder entities that are either present or absent based on polythetic-categorical criteria. Many published papers in psychiatry use these dichotomous diagnoses as the main unit of analysis. However, as it stands, these classification systems have major limitations that substantially impede scientific progress (3-5). In the following, we will detail why DSM/ICD-based approaches to the study of mental disorders are inadequate ways to address psychopathology. We will outline the major limitations of categorical psychiatric diagnoses as implemented in the current classification systems, and then we will introduce two promising approaches that were designed to circumvent these caveats
Psychiatry · Scope (computer science · Computer Science · Medicine · Mental Health and Psychiatry · Personality Disorders and Psychopathology · Psychology · Schizophrenia research and treatment
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| Unique citing works | 15 |
|---|---|
| Citations per year | 1.88 |
| Citation span | 2018 - 2026 (9) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 15 |