Functional work disability from the perspectives of persons with systemic lupus erythematosus: a qualitative thematic analysis
Bibliographic record
Abstract
BACKGROUND: Systemic lupus erythematosus (SLE) disease symptoms that can significantly restrict work ability and work participation resulting in reduced mental well-being. This study investigates the significant impact of work participation and disability on the mental wellbeing, health-related quality of life, and disease-related outcomes in individuals with SLE. METHODS: With the objective of creating an SLE-related functional profile rooted in work disability (WD) prevention, 46 SLE patients were purposively recruited from Canadian medical centres. Through semi-structured interviews guided by a WD prevention framework, factors associated with WD and lived experiences of SLE-related WD were qualitatively explored. Braun and Clarke's six-stage inductive thematic analysis was used to organize the data. RESULTS: Most participants experienced some form of work disability across their employment history related to their clinical manifestations of SLE, including hospitalizations, physical limitations, fatigue, and neurocognitive symptoms (e.g. brain fog). Thematic analysis revealed three key themes: (a) the influence of illness experience on work, (b) the stigmatization of illness disclosure, and (c) the availability of workplace resources/accommodations. Participants emphasized the desirability of work with reduced physical and mental demands, increased personal control, and workplace flexibility to prevent WD. CONCLUSION: The study underscores the need for a collaborative, multi-component, and multidisciplinary intervention targeting psychosocial and workplace factors to establish a goal-oriented preventative framework, potentially improving WD outcomes in SLE individuals.
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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 | 0.018 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".