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Record W2569005429 · doi:10.1177/1541931215591201

Effects of Compliant Flooring Systems and Resident Weight on Hand Forces When Pushing Floor-Based Lifts and Wheelchairs among Long-Term Care Staff

2015· article· en· W2569005429 on OpenAlexaff
Chantelle C. Lachance, Alexandra M.B. Korall, Colin M. Russell, Shannon I. Johnson, Fabio Feldman, Stephen N. Robinovitch, Dawn C. Mackey

Bibliographic record

VenueProceedings of the Human Factors and Ergonomics Society Annual Meeting · 2015
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsFraser HealthSimon Fraser University
Fundersnot available
KeywordsLift (data mining)OverlayPercentileLifting equipmentStructural engineeringMedicineEngineeringMathematicsComputer science

Abstract

fetched live from OpenAlex

Preliminary clinical findings suggest that compliant flooring may reduce the incidence and severity of fall- related injuries in long-term care (Knoefel et al., 2013) and acute-care settings (Drahota et al., 2013). However, there is concern that manoeuvring wheeled equipment on compliant flooring could expose care staff to potentially harmful pushing forces (Drahota et al., 2013; Wynn et al., 2011). We measured the external resultant hand forces (initial and sustained) required for female direct care staff to push two floor - based lifts (conventional manual and motor-driven) (n=14) or a wheelchair (n=14), loaded with passengers of average (67 kg) and ninetieth percentile (90 kg) resident weights, over four flooring systems: concrete + vinyl, compliant (1” SmartCells) + vinyl, concrete + carpet, and compliant + carpet. We observed an interaction between lift type and floor system for initial (p < 0.001) and sustained (p < 0.001) forces. Independent of resident weight, mean forces were lower for the motor-driven lift than the conventional lift on all flooring conditions (by 34.8 – 74.4 N for initial forces and by 14.1 – 64.5 N for sustained forces). With the vinyl overlay, initial forces were higher on compliant than concrete subflooring when using the conventional lift (mean difference = 44.7 N, 47.7% increase, p < 0.001) and motor-driven lift (29.8 N, 45.8% increase, p < 0.001). Similarly, with the vinyl overlay, sustained resultant forces were higher on compliant subflooring than concrete subflooring when using the conventional lift (39.0 N, 88.2% increase, p < 0.001) and motor-driven lift (9.7 N, 29.0% increase, p < 0.001). With the carpet overlay, the differences between compliant and concrete subfloors were less pronounced than with the vinyl overlay for the conventional lift (F initial : 23.0 N higher, 14.9% increase, p < 0.001; F sustained : 15.6 N higher, 18.7% increase, p < 0.001) and absent when using the motor-driven lift (F initial : p = 0.975; F sustained : p = 0.999). We also observed an interaction between resident weight and lift type for initial (p = 0.004) and sustained forces (p < 0.001). Independent of flooring system, F initial was 18.6 N higher (13.5% increase, p < 0.001) and F sustained was 11.7 N higher (14.3% increase, p < 0.001) for the ninetieth percentile weight than the average weight for the conventional lift. In contrast, there were no differences in F initial (p = 0.200) and F sustained (p = 0.100) between the average and ninetieth percentile weight conditions for the motor-driven lift. Similar trends were observed when participants pushed the wheelchair. In summary, this study found that compliant subflooring increased the external hand forces required for female direct care staff to push floor -based lifts and wheelchairs compared to concrete subflooring, and these increases in force were greater when pushing over vinyl than carpet overlay. This study also demonstrated that a motor-driven lift substantially reduced push forces compared to a conventional manual lift. Thus, motor-driven lifts may help to prevent work- related musculoskeletal injuries in long-term care facilities, especially in facilities with compliant flooring.

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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)0.007
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.282
Teacher spread0.255 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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