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Geropsychiatric consultation in a general hospital in Taiwan

2005· article· en· W2086952247 on OpenAlexaff
Yeong‐Yuh Juang, Chia‐Yih Liu, Ching‐Yen Chen, Shih‐Chieh Hsu, Mei‐Chun Hsiao, Ching‐I Hung, Eng‐Kung Yeh

Bibliographic record

VenuePsychiatry and Clinical Neurosciences · 2005
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsPsychiatryReferralPsychosocialMedicineGeriatric psychiatryDepression (economics)Organic mental disordersGeriatricsAdjustment disordersFamily medicineDeliriumAnxiety

Abstract

fetched live from OpenAlex

The aim of this study was to characterize clinically significant issues in a psychiatric consultation service for geriatric inpatients in a general hospital in Taiwan. This was a case-control study. During a 5-month period, 100 geriatric (age > or =65 years) inpatients consecutively referred for consultation-liaison psychiatric service from non-psychiatric departments formed the study group. Another 100 medical inpatients, also referred for consultation-liaison to the psychiatric service, but aged 17-50, formed the control (non-geriatric) group. The diagnosis, demography, reason for referral, symptomatology, and other clinical characteristics were determined by consensus between two psychiatrists. Psychiatric diagnosis was made according to criteria in the 4th edition of the Diagnostic and Statistical Manual of Mental Disorders. The geropsychiatric consultation rate was 0.9%. Geriatric patients constituted 20.1% of all psychiatric referrals. Common reasons for referral of geriatric inpatients were confusion (32%), depression (17%), disturbing behaviors (14%), and psychosis (14%). The most common psychiatric disorder among geriatric patients was an organic mental disorder (79%), followed by a depressive disorder (13%). More geriatric patients suffered from cancers and cerebrovascular diseases than non-geriatric patients. The geriatric group was more likely to have multiple physical illnesses. Organic mental disorder and depressive disorders are the most common psychiatric diagnoses in the geropsychiatric consultation service of the authors. In the authors' experience, both psychotropic medication treatment and psychosocial intervention are important in geropsychiatric consultation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.370
Teacher spread0.346 · 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.

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

Citations10
Published2005
Admission routes1
Has abstractyes

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