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Assessing Comorbidity, Insight, Family, and Functioning

2023· book-chapter· en· W4385937962 on OpenAlexaff
Olivia A. Merritt, Christine Purdon

Bibliographic record

VenueOxford University Press eBooks · 2023
Typebook-chapter
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComorbidityClinical psychologyPsychologyAnxietyQuality of life (healthcare)MoodHostilityPersonality disordersPsychiatryPersonalityPsychotherapist

Abstract

fetched live from OpenAlex

Abstract Obsessive-compulsive disorder (OCD) is a complex and debilitating disorder that has a high degree of comorbidity with mood and anxiety disorders. Strategies for differential diagnosis of OCD and these disorders, as well as the interactions of the diagnoses in treatment settings, are discussed. The chapter also explores the relationships between OCD and personality disorders, as well as between OCD and the OCD-related disorders. OCD is also characterized by impaired quality of life, family involvement, and varying insight. The presence of OCD is associated with high levels of functional impairment, especially in the social and emotional domains. Relationships with important others can be affected by the disorder. Family members are often involved in OCD symptoms, and family variables like symptom accommodation and hostility are related to poorer treatment outcomes. Treatment outcomes can also be influenced by level of insight held by the individual with OCD; those with poor insight into the irrationality of their symptoms often face challenges with treatment engagement. The chapter aims to provide a brief overview of comorbidity, family, insight, and quality-of-life issues and to review assessment and treatment implications of those issues. Measures for assessing relevant constructs are described.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.271
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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