The importance of involving experts-by-experience with different psychiatric diagnoses when revising diagnostic criteria

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

About the autistic author marker

Fellowes, S. (2023). The importance of involving experts-by-experience with different psychiatric diagnoses when revising diagnostic criteria. Synthese, 202(6). https://doi.org/10.1007/s11229-023-04399-6

Publication date: 22 Nov 2023 Added to AutiHub: 14 Sep 2026 Type: Article Article language: English

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Authors

Publication authors
1
Publication authors identified as autistic
1 / 1 (100.0%)

Abstract

Abstract Philosophers of science have recently called for experts-by-experience to be involved in revising psychiatric diagnoses. They argue that experts-by-experience can have relevant knowledge which is important for considering potential modifications to psychiatric diagnoses. I show how altering one diagnosis can impact individuals with a different diagnosis. For example, altering autism can impact individuals diagnosed with Attention Deficit Hyperactivity Disorder and Schizoid Personality Disorder through co-morbidity and differential diagnostic criteria. Altering autism can impact the population making up the diagnosis of Attention Deficit Hyperactivity Disorder and Schizoid Personality Disorder which can then influence which behaviour each diagnosis covers and which parts of the causal structure each diagnosis covers. Expanding one diagnosis can mean, if differential diagnostic criteria are present, that individuals who have a different diagnosis, or would one day have been diagnosed with that different diagnosis, are instead now diagnosed with the expanded diagnosis. Alternatively, if two diagnoses can be co-morbid then expanding one diagnosis can mean individuals who have a different diagnosis can now also receive the expanded diagnosis. Changing these can then impact the adequacy of symptoms formulated to cover behaviour and causal mechanisms formulated to cover the causal structure. This means experts-by-experience representing a range of diagnoses should be involved in decisions over modifying diagnoses they do not have. For example, Attention Deficit Hyperactivity Disorder individuals should be involved in decisions to modify autism. I discuss practical issues relating to how much say people with a range of diagnoses should have in relation to modifying a diagnosis which they do not have. We should employ a principle of equality whereby the level of say individuals with one diagnosis should have on another diagnosis should be equally reciprocated.

Bibliography cited by this reference

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Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 20 Sep 2026 01:01.

Cited references
32
With a DOI
25
Without a DOI, from raw bibliography text
7
1 / 32 (3.1%) cited references include at least one author identified as autistic.
References with data to complete
8 / 32 (25.0%)
References with detected author names
29 / 32 (90.6%)
Without detected author names
3
Without a structured title
7
Without a stable identifier
7
References with raw author names still to review
2
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
71
From DOI or external metadata
71
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
2
4 / 71 (5.6%) names are linked to an author already present in AutiHub. 67 / 71 (94.4%) names are not yet linked.
Names linked to a person identified as autistic
1 / 71 (1.4%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 1 / 4 (25.0%). Distinct people identified as autistic: 1 / 71 (1.4%).
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