Researching Complex and Multi-Level Workplace Factors Affecting Disability and Prolonged Sickness Absence
Bibliographic record
Abstract
Purpose There is growing research evidence that workplace factors influence disability outcomes, but these variables reflect a variety of stakeholder perspectives, measurement tools, and methodologies. The goal of this article is to summarize existing research of workplace factors in relation to disability, compare this with employer discourse in the grey literature, and recommend future research priorities. Methods The authors participated in a year-long collaboration that ultimately led to an invited 3-day conference, "Improving Research of Employer Practices to Prevent Disability, held October 14-16, 2015, in Hopkinton, Massachusetts, USA. The collaboration included a topical review of the literature, group conference calls to identify key areas and challenges, drafting of initial documents, review of industry publications, and a conference presentation that included feedback from peer researchers and a question/answer session with a special panel of knowledge experts with direct employer experience. Results Predominant factors in the scientific literature were categorized as physical or psychosocial job demands, work organization and support, and workplace beliefs and attitudes. Employees experiencing musculoskeletal disorders in large organizations were the most frequently studied population. Research varied with respect to the basic unit of assessment (e.g., worker, supervisor, policy level) and whether assessments should be based on worker perceptions, written policies, or observable practices. The grey literature suggested that employers focus primarily on defining roles and responsibilities, standardizing management tools and procedures, being prompt and proactive, and attending to the individualized needs of workers. Industry publications reflected a high reliance of employers on a strict biomedical model in contrast to the more psychosocial framework that appears to guide research designs. Conclusion Assessing workplace factors at multiple levels, within small and medium-sized organizations, and at a more granular level may help to clarify generalizable concepts of organizational support that can be translated to specific employer strategies involving personnel, tools, and practices.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".