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Record W2136114019 · doi:10.1176/appi.ps.51.8.1040

Monitoring Aggression and Problem Behaviors in Inpatient Neuropsychiatric Units

2000· article· en· W2136114019 on OpenAlexaff
Grant L. Iverson, R O Hughes

Bibliographic record

VenuePsychiatric Services · 2000
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsRiverview Hospital
Fundersnot available
KeywordsAggressionPoison controlAmbulatoryChartInjury preventionPsychiatrySuicide preventionNeuropsychiatryMedical emergencyMedicinePsychologySurgeryStatistics

Abstract

fetched live from OpenAlex

The Problem Behavior Recording System (PBRS) is a computer-based monitoring system for tracking aggression and other problem behaviors among inpatients on neuropsychiatric units. The authors describe the system and compare it with other tracking systems. In 1997 a total of 405 aggressive incidents on an aggressive-ambulatory neuropsychiatry unit were recorded on the PBRS, whereas only 112 incidents, or 28 percent, were documented in hospital incident reports. In a further analysis, nursing notes in the charts of three patients were examined for a three-month period; 34 aggressive incidents were documented, compared with 41 PBRS entries for the same patients. The chart review took nearly three hours to complete, compared with less than five minutes for the PBRS analysis.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
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
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.284
Teacher spread0.270 · 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 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

Citations6
Published2000
Admission routes1
Has abstractyes

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