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Record W2768202714 · doi:10.1176/appi.ps.201600534

All-Cause, 30-Day Readmissions Among Persons With Intellectual and Developmental Disabilities and Mental Illness

2017· article· en· W2768202714 on OpenAlexafffundabout
Robert Balogh, Elizabeth Lin, Kristin Dobranowski, Avra Selick, Andrew S. Wilton, Yona Lunsky

Bibliographic record

VenuePsychiatric Services · 2017
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsCentre for Addiction and Mental Health
FundersCanadian Institutes of Health Research
KeywordsMental illnessMedicineCohortDay hospitalHospital dischargePsychiatryIntellectual disabilityCohort studyHospital readmissionMental healthEmergency medicineIntensive care medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Early hospital readmissions within 30 days of discharge are common and costly. This research describes predictors of all-cause, 30-day hospital readmissions among persons with intellectual and developmental disabilities (IDD), a group known to experience high rates of hospitalization. METHODS: A cohort of 66,484 adults with IDD from Ontario, Canada, was used to create two subgroups: individuals with IDD only and those with IDD and mental illness. The rates of hospital readmission were determined and contrasted with a comparison subgroup of people without IDD who have mental illness. RESULTS: Compared with those with mental illness only, individuals with IDD and mental illness were 1.7 times more likely to experience a hospital readmission within 30 days. Predictors of their readmission rates included being a young adult and having high morbidity levels. CONCLUSIONS: The high rate of hospital readmission suggests that individuals with IDD and mental illness need attention regarding discharge planning and outpatient follow-up.

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 categoriesInsufficient 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 score0.145
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.037
GPT teacher head0.321
Teacher spread0.284 · 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

Citations16
Published2017
Admission routes3
Has abstractyes

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