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Record W1998005764 · doi:10.1177/1084822313487203

Evaluation of the Missouri Alliance for Home Care Fall Risk Assessment Tool and Home-Based “Balanced Approach” Fall Reduction Initiative

2013· article· en· W1998005764 on OpenAlexaff
Rosemary Gallagher, Nancy Stith, Veronica Southard

Bibliographic record

VenueHome Health Care Management & Practice · 2013
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsNew York Institute of Technology
FundersNew York Institute of Technology
KeywordsTinetti testMedicineRehabilitationPhysical therapyGerontologyBalance (ability)

Abstract

fetched live from OpenAlex

A randomized, retrospective chart review of 228 patients referred to Catholic Home Care; January 1, 2009 to June 30, 2009, was conducted to determine concurrent based validity of the Missouri Alliance for Home Care Tool (MAHC-10) with the Performance Oriented Mobility Scale (Tinetti), and to determine the benefit of the “Balanced Approach” rehabilitation program. A weak but significant negative relationship between the MAHC-10 and pre- ( r = −.21, p < .01) Tinetti scores was found. Significant differences in Tinetti scores pre and post intervention was found with mean improvement of 5.2 points ( t = −19.60, df, 181, p < .001; 95% CI[−5.72, −4.67]). Results of this study indicate the effectiveness of the MAHC-10–driven interdisciplinary program in the identification and management of fallers in the home.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.401
Teacher spread0.356 · 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.

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

Citations3
Published2013
Admission routes1
Has abstractyes

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