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Record W4311367134 · doi:10.1080/13696998.2022.2156152

The cost-effectiveness of a nursing home-based transitional care unit for increasing the potential for independent living in the community among hospitalized older adults

2022· article· en· W4311367134 on OpenAlexaffabout
Maya Murmann, Danielle Sinden, Amy T. Hsu, Kednapa Thavorn, Anan Bader Eddeen, Annie H. Sun, Benoît Robert

Bibliographic record

VenueJournal of Medical Economics · 2022
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsOttawa HospitalUniversity of OttawaBruyère
Fundersnot available
KeywordsMedicineTransitional careNursing homesIndependent livingUnit (ring theory)NursingSkilled Nursing FacilityGerontologyIntensive care medicineHealth care

Abstract

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OBJECTIVE: In Canada, a persistent barrier to achieving healthcare system efficiency has been patient days accumulated by individuals with an alternate level of care (ALC) designation. Transitional care units (TCUs) may address the capacity pressures associated with ALC. We sought to assess the cost-effectiveness of a nursing home (NH) based TCU leveraging existing infrastructure to support a hospitalized older adult's transition to independent living at home. METHODS: This case-control study included frail, older adults who received care within a function-focused TCU following a hospitalization between 1 March 2018 and 30 June 2019. TCU patients were propensity score matched to hospitalized ALC patients ("usual care"). The primary outcome was days without requiring institutional care six months following discharge, defined as institutional-free days. This was calculated by excluding all days in hospitals, rehabilitation facilities, complex continuing care facilities and NHs. Using the total direct cost of care up to discharge from TCU or hospital, the incremental cost-effectiveness ratio was calculated. RESULTS: TCU patients spent, on average, 162.0 days institution-free (95% CI: 156.3-167.6d) within six months days post-discharge, while usual care patients spent 140.6 days institution-free (95% CI: 132.3-148.8d). TCU recipients had a lower total cost of care, by CAN$1,106 (95% CI: $-6,129-$10,319), due to the reduced hospital length of stay (mean [SD] 15.6d [13.3d] for TCU patients and 28.6d [67.4d] days for usual care). TCU was deemed the more cost-effective model of care. LIMITATIONS: The main limitation was the potential inclusion of patients not eligible for SAFE in our usual group. To minimize this selection bias, we expanded the geographical pool of ALC patients to patients with SAFE admission potential in other area hospitals. CONCLUSIONS: Through rehabilitative and restorative care, TCUs can reduce hospital length of stay, increase potential for independent living, and reduce risk for subsequent institutionalization.

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)0.002
metaresearch head score (Gemma)0.010
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 score0.010
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.035
GPT teacher head0.374
Teacher spread0.338 · 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
Published2022
Admission routes2
Has abstractyes

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