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Record W4299619042

The Clock-in-the-Box, a brief cognitive screen, is associated with failure to return home in an elderly hospitalized sample

2016· article· en· W4299619042 on OpenAlexaboutno aff
Jackson CE, Grande LJ, K Doherty, E Archambault, B Kelly, Driver JA, Milberg WP, R McGlinchey, Rudolph JL

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsSample (material)GerontologyCognitionPsychologyMedicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Colleen E Jackson,1–3 Laura J Grande,1–3 Kelly Doherty,1 Elizabeth Archambault,1 Brittany Kelly,1 Jane A Driver,1,4 William P Milberg,1,2,5 Regina McGlinchey,1,2,5 James L Rudolph6,7 1Geriatric Research, Education and Clinical Center, Department of Veterans Affairs (VA) Boston Healthcare System, Boston, MA, 2Translational Research Center for TBI and Stress Disorders, Department of Veterans Affairs (VA) Boston Healthcare System, Boston, MA, 3Department of Psychiatry, Boston University School of Medicine, Boston, MA, 4Department of Medicine, Harvard Medical School, Boston, MA, 5Department of Psychiatry, Harvard Medical School, Boston, MA, 6Center of Innovation in Long Term Services and Supports, Department of Veterans Affairs (VA) Providence Medical Center, Providence, RI, 7Department of Medicine, Warren Alpert School of Medicine of Brown University, Providence, RI, USA Purpose: Cognitive screening upon hospital admission can provide important information about the patient’s ability to process information during the inpatient stay. The Clock-in-the-Box (CIB) is a rapidly administered cognitive screening measure which has been previously validated with cognitive screening and neuropsychological assessments. The purpose of this study is to demonstrate the predictive validity of the CIB for discharge location among a sample of older medical inpatients. Patients and methods: Hospitalized Veterans (N=218), aged 55 years and older, were recruited on the day after admission after they gave their consent. These participants completed the CIB, the Montreal Cognitive Assessment, and self-report measures of daily functioning. Using logistic regression models, the bivariable and multivariable impact of the cognitive screening and functional assessments were examined for their ability to predict whether the participants did not return home after hospitalization (eg, admission to subacute rehabilitation facilities or nursing facilities). Results: The participants were older (mean 71.5±9.5 years) and predominantly male (92.7%). The CIB score was independently associated with discharge to locations other than home (odds ratio =0.72, 95% confidence interval =0.60–0.87, P=0.001) and remained associated after adjusting for demographics, prehospitalization functional abilities, and Montreal Cognitive Assessment score (adjusted odds ratio =0.55, 95% confidence interval =0.36–0.83, P=0.004). Conclusion: The current evidence, combined with its brevity and ease of use, supports the use of the CIB as a cognitive screen for inpatient older adults, in order to help inform clinical treatment decisions and discharge planning. Keywords: cognition, screening, aging, hospitalization, care transition

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.241
GPT teacher head0.580
Teacher spread0.339 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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