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Record W4388205557 · doi:10.37349/ent.2023.00051

Cognitive recovery in psychiatric disorders: transdiagnostic interdisciplinary intervention in a high intensity partial psychiatric in-patient unit

2023· article· en· W4388205557 on OpenAlexaboutno aff
Ana Isabel De Santiago-Díaz, Teresa Pérez-Poo, Elsa Gómez-Ruíz

Bibliographic record

VenueExploration of Neuroprotective Therapy · 2023
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsPsychoeducationBrief Psychiatric Rating ScalePsychologyGlobal Assessment of FunctioningCognitionClinical psychologyRating scalePsychiatryMontreal Cognitive AssessmentHamilton Anxiety Rating ScaleMontgomery–Åsberg Depression Rating ScalePsychological interventionAnxietyMajor depressive disorderPsychosisCognitive impairmentDevelopmental psychology

Abstract

fetched live from OpenAlex

Aim: The present study aims to analyze the impact on cognitive recovery of an interdisciplinary treatment for acute and severe psychiatric patients. Methods: The present research is a naturalistic observational study of 130 adults (mean age of 47.68 years, 68% women). Clinical severity was assessed using Brief Psychiatry Rating Scale (BPRS), Montgomery-Asberg Depression Rating Scale (MADRS), and Hamilton Anxiety Rating Scale (HARS). Functional performance was evaluated using the Functioning Assessment Short Test (FAST), and cognitive impairment by applying the Montreal Cognitive Assessment (MoCA). Patients were clustered into four diagnostic groups (non-affective psychosis, bipolar, depressive, and personality disorders) and had individualized psychopharmacological treatment. They receive a transdiagnostic group program including several interventions that have shown evidence of beneficial effects over the different cognitive domains impaired in mental illness (attention, speed of processing, memory, working memory, reasoning, and problem-solving), as well as social cognition domains (emotion processing and social skills), in combination with psychoeducation and some strategies oriented to achieve healthy lifestyle routines (balanced diet, physical exercise, sleep hygiene, and smoking and alcohol cessation). Results: All clinical scales scores were improved after the end of treatment compared with those achieved at admission (BPRS, MADRS, and HARS scores below the cut-off point for establishing a case diagnosis). MoCA scores improved after the end of treatment concerning admission, both in the total score and in the differentiated cognitive domains, excluding orientation, which remained unchanged in the whole of the sample studied. No statistical significance was found in any comparisons between different diagnostic groups. No correlation between MoCA scores and BPRS, MADRS, or HARS scores at admission or discharge was found. Conclusions: These results show that the interdisciplinary therapeutic intervention can be effective for recovering cognitive impairment associated with mental disorders, irrespective of the diagnosis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.339
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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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