Swimming Against the Current: A Qualitative Review of the Work Experiences and Adaptations Made by Employees With Arthritis
Bibliographic record
Abstract
OBJECTIVE: To describe the experiences and strategies of employees with arthritis to maintain employment, and to use this information to build a conceptual model. METHODS: We conducted a systematic review of qualitative studies that examined the work experiences of employees with arthritis. Published studies on arthritis and employment were searched from electronic databases (1980-2017) and bibliographic reviews of relevant studies. We used meta-ethnography to synthesize the findings. RESULTS: We reviewed 17 studies that reported on the experiences of 873 employees. We identified 11 main themes that highlight common issues experienced by employees with arthritis and grouped these into 4 higher-order categories: changing nature of the disease (emotional issues, cognitive struggles, unpredictable physical symptoms), intrapersonal issues (personal meaning of work, preserving a work identity), interpersonal issues (managing disclosure, gaining coworker support, organizational culture issues), and work-sustainability strategies (making personal adjustments, using social support, using workplace accommodations). Using these themes, we developed the Job Sustainability Model to illustrate how disease, personal, and work-related factors interact to influence what type of coping behaviors are used and when. Initially, employees with arthritis rely on making personal adjustments, using social support, and medical intervention. However, when these coping behaviors fail to be effective, they draw upon workplace accommodations and resources. CONCLUSION: Arthritis disrupts an employee's work life by impairing his or her capacity to be a productive worker. Our results highlight how employees with arthritis make strategic adaptations to maintain a productive work life for as long as possible. The findings of this study have implications for work-related interventions aimed at preserving employment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.035 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".