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A Geriatric Emergency Service for Acutely Ill Elderly Patients: Pattern of Use and Comparison with a Conventional Emergency Department in Italy

2008· article· en· W2168543806 on OpenAlexfundno aff
Fabio Salvi, Valeria Morichi, Annalisa Grilli, Raffaella Giorgi, Liana Spazzafumo, Stefano Polonara, G. De Tommaso, A Rappelli, Paolo Dessı̀-Fulgheri

Bibliographic record

VenueJournal of the American Geriatrics Society · 2008
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsnot available
FundersJewish General Hospital
KeywordsMedicineEmergency departmentTriageHazard ratioConfidence intervalOdds ratioObservational studyEmergency medicineGeriatricsProspective cohort studyGerontologyPediatricsInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

The current disease-oriented, episodic model of emergency care does not adequately address the complex needs of older adults presenting to emergency departments (EDs). Dedicated ED facilities with a specific organization (e.g., geriatric EDs (GEDs)) have been advocated. One of the few GED experiences in the world is described and its outcomes compared with those of a conventional ED (CED). In a secondary analysis of a prospective observational cohort of 200 acutely ill elderly patients presenting to two urban EDs in Ancona, Italy, identifiers and triage, clinical, and social data were collected and the following outcomes considered: early (30-day) and late (6-month) ED revisit, frequent ED return, hospital admission, and functional decline. Death, functional decline, any ED revisit and any hospital admission were also considered as a composite outcome. Odds ratios and 95% confidence intervals (CIs) were calculated. Overall, GED patients were older and frailer than CED patients. The two EDs did not differ in terms of early, late, or frequent ED return or in 6-month hospital admission or functional decline. The mortality rate was slightly but significantly lower in the GED patients (hazard ratio=0.47, 95% CI=0.22-0.99, P=.047). The data suggest noninferiority and, indirectly, a slight superiority for the GED system in the acute care of elderly people, supporting the hypothesis that ED facilities specially designed for older adults may provide better 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)0.000
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 score0.027
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.284
Teacher spread0.259 · 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

Citations54
Published2008
Admission routes1
Has abstractyes

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