MétaCan
Menu
Back to cohort
Record W2568429084 · doi:10.5770/cgj.19.253

Geriatric Homelessness: Association with Emergency Department Utilization

2016· article· en· W2568429084 on OpenAlexaffvenue
Ana Hategan, Daniel K. Tisi, Mariam Abdurrahman, James A. Bourgeois

Bibliographic record

VenueCanadian Geriatrics Journal · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsSt. Joseph’s Healthcare HamiltonUniversity of TorontoMcMaster University
Fundersnot available
KeywordsMedicineEmergency departmentPsychological interventionGerontologyFamily medicineEmergency medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Homeless adults frequently use emergency departments (EDs), yet previous studies investigating ED utilization by the older segment received little attention. This study sought to characterize older homeless adults who utilized local urban EDs. METHODS: ED encounters at three hospitals in Hamilton (Ont.) were analyzed, and demographic and clinical characteristics of the older homeless (age > 50) vs. younger counterparts (age ≤ 50) were compared during a 24-month period. RESULTS: Of all adults, 1,330 were homeless, of whom 66% were above age 50. Older homeless adults sought less acute care within 30 days from an index visit compared with their younger counterparts. Non-acute illnesses constituted only 18% of triaged cases. Older homeless women with access to a primary care physician (PCP) were 3.3 times more likely to return to ED within 30 days, whereas older homeless men (irrespective of PCP access) were less likely to return to ED. CONCLUSIONS: Despite high homeless patient acuity, a lesser number of ED visits with increasing age remains concerning because of previously reported high morbidity and mortality rates. Access to primary care may not be enough to reduce ED utilization. Further research is needed to evaluate acute care interventions and their effectiveness in ED, and to identify homeless patients requiring more targeted services.

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 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 score0.297
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.038
GPT teacher head0.337
Teacher spread0.299 · 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

Citations11
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Geriatrics JournalSame topicHomelessness and Social IssuesFrench-language works237,207