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Outcomes of Community‐dwelling Seniors Vary by Type of Emergency Department

2012· article· en· W1508875256 on OpenAlexafffundabout
Jane McCusker, Danièle Roberge, Antonio Ciampi, Roxane Borgès Da Silva, Alain Vadeboncœur, Danielle Larouche, Jean‐Frédéric Lévesque, Éric Belzile

Bibliographic record

VenueAcademic Emergency Medicine · 2012
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsMcGill UniversityHôpital Charles-Le MoyneInstitut National de Santé Publique du QuébecMontreal Heart InstituteMcGill University Health CentreUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsMedicineEmergency departmentResidenceComorbidityGerontologyCohortEmergency medicineFamily medicineProportional hazards modelDemographyMedical emergencyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: The specific objectives were: 1) to compare the characteristics and 6-month outcomes of community-dwelling seniors in Quebec, Canada, who visited three different emergency department (ED) types and 2) to explore whether the differences in outcomes by ED type were seen among subgroups of seniors. METHODS: The three types of ED were most specialized, less community-oriented (n = 12); moderately specialized, less community-oriented (n = 28); and least specialized, more community-oriented (n = 28). Administrative databases were used to create a cohort of 223,120 seniors who visited these 68 EDs during a 14-month period. Using a multilevel approach, the following patient characteristics were compared across ED types: sociodemographic (age, sex, urban vs. rural residence, proximity to ED); medical diagnoses and comorbidity burden; and utilization of hospital and physician services during the 16 months before the index ED visit. Cox regression analysis was used to model the relationships between ED type and two 6-month outcomes, adjusting for patient characteristics: 1) serious outcomes (death, acute or long term-care admission) among all individuals who made an index visit and 2) outpatient ED visits (without hospital admission) among those discharged either from the ED or hospital. Interactions between ED type and patient age, sex, urban-rural residence, and comorbidity burden were explored. RESULTS: Compared to patients treated at the least specialized EDs, those at the most specialized EDs were more often urban-dwelling, resided outside the health service area of the ED, and had the highest disease burden and prior specialist utilization. Those treated at the moderately specialized EDs were intermediate between these two groups. During the 6 months after the ED visit, the rate of serious outcomes was higher and the rate of outpatient ED visits was lower for the most specialized compared to the least specialized EDs, even after adjustment for patient characteristics. The differences in these outcomes by ED type were attenuated among older patients and those with greater comorbidity. CONCLUSIONS: More vulnerable community-dwelling seniors tend to be treated in more specialized EDs, which have worse linkages to community services. Improved linkages between more specialized EDs and the community (physicians, home care, and other services) and increased access to community services may improve outcomes in this population. Seniors treated at more specialized EDs were more likely to experience serious outcomes, but were less likely to make a return outpatient ED visit.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.215
Threshold uncertainty score0.428

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.141
GPT teacher head0.475
Teacher spread0.334 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2012
Admission routes3
Has abstractyes

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