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Record W4282937826 · doi:10.1177/00469580221092132

Workplace Musculoskeletal Disorder Prevention Practices and Experiences

2022· article· en· W4282937826 on OpenAlexfundaboutno aff
Dwayne Van Eerd, Emma Irvin, Morgane Le Pouésard, Amanda Butt, Kay Nasir

Bibliographic record

VenueINQUIRY The Journal of Health Care Organization Provision and Financing · 2022
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
FundersWorkplaceNL
KeywordsThematic analysisDescriptive statisticsBest practiceOccupational safety and healthWork (physics)PsychologyHuman factors and ergonomicsEvidence-based practiceMedical educationMusculoskeletal disorderMedicineApplied psychologyQualitative researchEnvironmental healthPoison controlEngineeringAlternative medicinePolitical scienceSociology

Abstract

fetched live from OpenAlex

Introduction. Musculoskeletal disorders (MSD) remain a substantial burden to society and to workplaces worldwide. Evidence-based practice approaches may be helpful; however, current research evidence is not consistently strong. Workplaces must address MSD regardless of the state of the research evidence. The study objective was to describe workplace MSD prevention practices experiences and perspectives of workers, managers, and occupational health and safety practitioners. Methods. This descriptive study used a convenience sample from Newfoundland and Labrador workplaces. Data were collected via survey and interviews. The survey data was analyzed using descriptive statistics and the interview data was analyzed using thematic analysis. Results. Results were examined from 645 survey respondents and 17 interviewees. Survey findings revealed that about half of respondents reported MSD policies existed in their workplace. Many MSD practices (such as ergonomics and force reduction) were considered available by most respondents. Over fifty percent of respondents received some training on MSD. The person most often endorsed as responsible to support workers with MSD was a manager. Interview findings showed that MSD prevention practices related to awareness, training, and hazard reduction are considered important and effective. Facilitators of MSD prevention include practices that are proactive and customized and increase knowledge about MSD prevention. Barriers concerning lack of resources and poor implementation were consistently mentioned. Conclusions. Evidence from current practices may help workplaces reduce MSD burden. However, with only about fifty percent of respondents reporting that MSD policies exist in the workplace, further work to address MSD is required. Future research should examine workplace practices as an important source of evidence. OHS professionals can use the study findings and adapt it to their context(s) to guide their design and implementation of MSD prevention practices. Improved MSD prevention practices and interventions can lead to decreases in MSD in workplaces across all industrial sectors.

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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.337
Teacher spread0.321 · 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

Citations21
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueINQUIRY The Journal of Health Care Organization Provision and FinancingSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207