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Record W2047182138 · doi:10.1177/0008417412473577

Validity of predischarge measures for predicting time to harm in older adults

2013· article· en· W2047182138 on OpenAlexafffundvenue
Alison Douglas, Lori Letts, Julie Richardson, Kevin W. Eva

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2013
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health Research
KeywordsHarmCognitionPredictive validityMedicinePsychologyTest (biology)RehabilitationClinical psychologyPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Concern is often expressed about the ability of persons with cognitive impairment to manage safely after discharge home from hospital. Measures validated for predicting safety are required. PURPOSE: The purpose of this study was to determine whether two predischarge functional measures were valid for predicting time to incident of harm after discharge. METHOD: Participants (n = 47) were recruited from an inpatient rehabilitation unit. The Assessment of Motor and Process Skills (AMPS) and Cognitive Performance Test (CPT) were administered in hospital. Incident-of-harm outcome was measured by caregiver telephone questionnaire monthly for 6 months. FINDINGS: Compared with all independent variables, AMPS Process scale was the best single predictor of time to incident of harm (p = .01). CPT had a high specificity (91%) for identifying persons who did not have harm. IMPLICATIONS: Both AMPS and CPT demonstrated predictive validity for harm outcome over less predictive variables, such as comorbidities and activities-of-daily-living burden of care.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.140
GPT teacher head0.416
Teacher spread0.276 · 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
Published2013
Admission routes3
Has abstractyes

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