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Record W2891337449 · doi:10.7759/cureus.3247

Emergency Departments as the Health Safety Nets of Society: A Descriptive and Multicenter Analysis of Social Worker Support in the Emergency Room

2018· article· en· W2891337449 on OpenAlex
Sasha Selby, Dongmei Wang, Eoin Murray, Eddy Lang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCureus · 2018
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsUniversity of CalgaryCalgary Laboratory ServicesAlberta Health Services
Fundersnot available
KeywordsMedicineReferralEmergency departmentMedical emergencyPopulationFamily medicineDisadvantagedSocial workResidenceNursingEnvironmental healthDemography

Abstract

fetched live from OpenAlex

Introduction Social Work (SW) referrals made in the emergency department (ED) highlight the weaknesses in the existing support system for vulnerable and disadvantaged patients. SW personnel play a pivotal role in some EDs but are not integrated into the team in several jurisdictions. Our objective was to provide a detailed description of the need for SW support in the ED setting by describing SW consultation patterns in an urban ED location. Methods A three-year analysis of ED SW referrals made through a network of four acute care hospitals serving a city population of 1.2 million inhabitants where social workers operate from 8 a.m. to 10 p.m. The study design was descriptive reporting proportions. The descriptors of interest were the types of ED patients receiving SW consultations and the reasons for patient referral to the SW Department. Results During the study period, there were 46,970 SW consultations, representing 8.02% of the 572,804 patients who visited the ED across Calgary, yielding 42.9 referrals per day to social workers through the ED. Consultations for domestic violence were three times more prevalent for women (6% of referrals). However, domestic violence consultations were still an active issue for men (1.9%). Comparisons by age group yielded illness adjustments (15.3%), discharge planning (31.2%), and legal decision making (23.9%) as the most common reasons for referral of patients over 75 years old; 92.8% of patients over 75 years were admitted following the SW consultation. Reasons for deferral of patients under 30 years of age were illness adjustments (12.2%), discharge planning (16.4 %), and legal decision making (1.4%); 57.3% of patients under 30 years were admitted following the consultation. Addiction/drug use and homelessness were more common in those under the age of 30, comprising 24.1% and 15.4% of the SW referrals, respectively, compared to 1.6% and 0.4% of referrals for those over age 75, respectively. Conclusions The demand for SW support is significant and complex in these large urban EDs. However, the impact on patient care and resource use is substantial, and the data indicates that SW integration may be of universal benefit to EDs. Further studies are warranted to accurately characterize the amount and type of SW necessary for optimal patient outcomes and hospital resource use.

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.

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 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 score0.339
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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.029
GPT teacher head0.347
Teacher spread0.318 · 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