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Record W2076162595 · doi:10.1080/17457300600935189

Effect evaluation of a multifactor community intervention to reduce falls among older persons

2006· article· en· W2076162595 on OpenAlexfundno aff
Gert Jan Wijlhuizen, Peter du Bois, Paula van Dommelen, M. Hopman-Rock

Bibliographic record

VenueInternational Journal of Injury Control and Safety Promotion · 2006
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
FundersAGE-WELL
KeywordsIntervention (counseling)MedicinePoison controlTest (biology)Injury preventionSuicide preventionOddsOccupational safety and healthPhysical therapyHuman factors and ergonomicsGerontologyOdds ratioEnvironmental healthLogistic regressionNursing

Abstract

fetched live from OpenAlex

The objective of the study was to evaluate the effectiveness of a multifactor and multimethod community intervention programme to reduce falls among older persons by at least 20%. In a pre-test-post test design, self-reported falls were registered for 10 months in the intervention community and two control communities. After the pre-test registration, participants followed the intervention programme (Information and education, Training and exercise and Environmental modifications) for 14 months. All communities were situated in the Province of Friesland in the north of The Netherlands. The study ran from November 1999 to November 2002. The participants (intervention 1122; control 630) were aged 65 years and older and lived independently. There was no significant decrease in total falls, except outside the home, among women (odds ratio = 0.54, 95% CI = 0.30-0.98; p = 0.041). The multifactor intervention programme was not effective. The reduction of falls outside the home among women could be due to reduced outdoor physical activity.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
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 integrity0.0000.001
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 head0.021
GPT teacher head0.386
Teacher spread0.365 · 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

Citations12
Published2006
Admission routes1
Has abstractyes

Explore more

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