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Record W2142882153

Improved outcomes for elderly patients who received care on a transitional care unit.

2014· article· en· W2142882153 on OpenAlexaff
Margaret Manville, Michael Klein, Lesley Bainbridge

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of British Columbia Hospital
Fundersnot available
KeywordsMedicineMedical prescriptionAcute careTransitional careEmergency medicineHospital readmissionRetrospective cohort studyHealth careInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether providing elderly alternate level of care (ALC) patients with interdisciplinary care on a transitional care unit (TCU) achieves better clinical outcomes and lowers costs compared with providing them with standard hospital care. DESIGN: Before-and-after structured retrospective chart audit. SETTING: St Joseph's Hospital in Comox, BC. PARTICIPANTS: One hundred thirty-five consecutively admitted patients aged 70 years and older with ALC designation during 5-month periods before (n = 49) and after (n = 86) the opening of an on-site TCU. MAIN OUTCOME MEASURES: Length of stay, discharge disposition, complications of the acute and ALC portions of the patients' hospital stays, activities of daily living (mobility, transfers, and urinary continence), psychotropic medications and vitamin D prescriptions, and ALC patient care costs, as well as annual hospital savings, were examined. RESULTS: Among the 86 ALC patients receiving care during the postintervention period, 57 (66%) were admitted to the TCU; 29 of the 86 (34%) patients in the postintervention group received standard care (SC). All 86 ALC patients in the postintervention group were compared with the 49 preintervention ALC patients who received SC. Length of stay reduction occurred among the postintervention group during the acute portion of the hospital stay (14.0 days postintervention group vs 22.5 days preintervention group; P < .01). Discharge home or to an assisted-living facility increased among the postintervention group (30% postintervention group vs 12% preintervention group; P < .01). Patients' ability to transfer improved among the postintervention group (55% postintervention group vs 14% preintervention group; P < .01). At discharge, 48% of ALC patients in the postintervention group were able to transfer independently compared with 17% of ALC patients in the preintervention group. Hospital-acquired infections among the postintervention group decreased during the acute phase (14% postintervention group vs 33% preintervention group; P < .01) and in the ALC phase of hospital stay (16% postintervention group vs 31% preintervention group; P = .011). Antipsychotic prescriptions decreased among the postintervention group (45% postintervention group vs 66% preintervention group; P = .026). Despite greater use of rehabilitation services, TCU costs per patient were lower ($155/d postintervention period vs $273/d preintervention period). CONCLUSION: Elderly ALC patients experienced improvements in health and function at reduced cost after the creation of an interdisciplinary TCU, to which most of the nonpalliative ALC patients were transferred. Although all the postintervention ALC patients (those admitted to the TCU and those who received SC) were analyzed together, it is very likely that the greatest gains were made in the ALC patients who received care in the TCU.

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)0.003
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.037
GPT teacher head0.329
Teacher spread0.292 · 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

Citations25
Published2014
Admission routes1
Has abstractyes

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