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Record W4376135407 · doi:10.21203/rs.3.rs-2773743/v1

Recent functional decline and outpatient follow-up after hospital discharge: A cohort study

2023· preprint· en· W4376135407 on OpenAlexafffundabout
Orly Bogler, David H. Kirkwood, Peter C. Austin, Aaron Jones, Chi‐Ling Joanna Sinn, Karen Okrainec, Andrew P. Costa, Lauren Lapointe‐Shaw

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsToronto General HospitalImpactInstitute for Clinical Evaluative SciencesMcMaster UniversityUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsMedicineCohortRetrospective cohort studyHospital dischargeCoronavirus disease 2019 (COVID-19)Cohort studyAcute careEmergency medicineHealth carePediatricsInternal medicineDisease

Abstract

fetched live from OpenAlex

Abstract Background: Functional decline is common following acute hospitalization and is associated with hospital readmission, institutionalization, and mortality. Early physician follow-up has the potential to prevent poor outcomes and is integral to high-quality transitional care. Our study sought to determine whether functional decline was associated with post-discharge follow-up and whether this association changed following COVID-19, given that both functional decline and COVID-19 may affect access to post-discharge care. Method: We conducted a retrospective cohort study using health administrative data from Ontario, Canada. We included patients over 65 who were discharged from an acute care facility during March 1st, 2019 – January 31st, 2020 (pre-COVID-19 period), and March 1st, 2020 – January 31st, 2021 (COVID-19 period), and who were assessed for home care while in hospital. Patients with and without functional decline were compared. Our primary outcome was any physician follow-up visit within 7 days of discharge. Results: Our study included 21,771 (pre-COVID) and 17,248 (COVID) hospitalized patients, of whom 15,637 (71.8%) and 12,965 (75.2%) had recent functional decline. Our propensity-weighted cohorts included 15637/15810 patients with/without function decline in the pre-COVID-19 period and 12965/13132 with/without functional decline in the COVID-19 period. Pre-COVID, there was no difference in physician follow-up within 7 days of discharge (Exposed 45.0% vs Unexposed 44.0%; RR=1.02, 95% CI 0.98 – 1.06). These results did not change in the COVID-19 period (Exposed 51.1% vs. Unexposed 49.4%; RR=1.03, 95% CI 0.99-1.08, Z-test for interaction p=0.72). In the COVID-19 cohort, functional decline was associated with having a 7-day physician virtual visit (RR 1.15; 95% CI 1.08 – 1.24) and a 7-day physician home visit (RR 1.64; 95% CI 1.10 – 2.43). Conclusions: Functional decline was not associated with reduced 7-day post-discharge physician follow-up in either the pre-COVID-19 or COVID-19 periods. In the COVID-19 period, functional decline was positively associated with 7-day virtual and home-visit follow-up.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.186
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.082
GPT teacher head0.393
Teacher spread0.311 · 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

Citations0
Published2023
Admission routes3
Has abstractyes

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