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Record W4229033778 · doi:10.1177/23337214221100072

Effectiveness of Weekend Physiotherapy on Geriatric In-Patients’ Physical Function

2022· article· en· W4229033778 on OpenAlexafffundabout
Venkadesan Rajendran, Deepa Jeevanantham, Dylan Falk

Bibliographic record

VenueGerontology and Geriatric Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsNOSM UniversityLaurentian UniversityHealth Sciences North
FundersNorthern Ontario Academic Medicine Association
KeywordsMedicineBarthel indexPhysical therapyMann–Whitney U testRandomized controlled trialAcute hospitalTimed Up and Go testRehabilitationHealth careSurgeryBalance (ability)Internal medicine

Abstract

fetched live from OpenAlex

Purpose Hospital-associated disability (HAD) is significant among geriatric patients admitted to acute care hospitals. The objective of the study is to evaluate the effectiveness of additional weekend physiotherapy on mobility impairments of high-risk older patients admitted to the acute medical unit. Methods A prospective, non-randomized controlled trial was conducted in one of the medical units in a northern Ontario hospital. A total of 41 patients were recruited using a consecutive sampling method and assigned to a control group ( n = 19) and an experimental group ( n = 22). The de Morton Mobility Index (DEMMI) and the Barthel Index (BI) were the outcome measures. Results A Mann-Whitney U test was used to analyze the group differences, and it showed that there was a statistically significant difference ( p < .05) between the experimental and control groups on the DEMMI and the BI. Conclusion Additional weekend physiotherapy significantly improves elderly patients’ physical function and gets them physically ready for discharge when medically stable. This may significantly reduce the alternate level of care for patients.

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 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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.010
GPT teacher head0.292
Teacher spread0.282 · 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 teacher head, 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

Citations6
Published2022
Admission routes3
Has abstractyes

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