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Record W1978232675 · doi:10.1097/hcm.0b013e318225e1dd

An Evidence-Based Case for the Value of Social Workers in Efficient Hospital Discharge

2011· article· en· W1978232675 on OpenAlex

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.

Bibliographic record

VenueThe Health Care Manager · 2011
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsStaffingSocial workHospital dischargeWork (physics)Value (mathematics)MedicineNursingIntensive care medicineComputer scienceEngineering

Abstract

fetched live from OpenAlex

A study was undertaken to make an evidence-based case for the value of social workers in efficient discharge of patients from acute care hospitals and to assist hospital managers in making informed staffing decisions. Hospital administrative databases from March 1 to November 30, 2008, were used for the analysis of inpatient discharges on days when social workers were on vacation compared with days fully staffed with social workers. Two performance measures, daily discharge rate and average length of stay, were evaluated. During the study period, 1825 patients were discharged from the General Internal Medicine inpatient service. Team discharge rates were significantly lower on social work vacation Fridays versus regular Fridays. In contrast, the average length of stay for patients discharged on social work vacation Fridays was significantly shorter than that for patients discharged on regular Fridays. It was concluded that daily discharge rate better quantified the role of social work in patient discharge. More generally, these results provide preliminary support for the need for adequate social work staffing in timely and efficient patient discharge.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.070
GPT teacher head0.407
Teacher spread0.337 · 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