The Lived Experiences of Older Adults With Systemic Lupus Erythematosus: Patient Perspectives
Bibliographic record
Abstract
OBJECTIVE: Little is known about perceptions of aging among individuals with systemic lupus erythematosus (SLE). Gaining this knowledge could help to identify targets for future behavioral interventions aimed at successful aging with SLE. This qualitative study sought to elicit the lived experiences and essence of aging from older adults with SLE. METHODS: We conducted semistructured interviews with adults aged ≥ 65 years with SLE seen at a single tertiary center. Qualitative data were analyzed thematically using a phenomenological approach. We collected data on sociodemographic characteristics and disease features prior to each qualitative interview. RESULTS: Among 30 participants with a mean age of 71.3 years and mean SLE duration of 26.3 years (range 5-62 yrs), 4 overarching themes emerged to describe the essence of aging with SLE: SLE and comorbid conditions, cumulative effect of SLE symptoms, SLE disease trajectory, and self-perceptions of aging. Older adults with SLE shared variable aging experiences, including perspectives on multimorbidity and disease trajectory, as well as self-perceptions of aging. CONCLUSION: We identified both positive and negative self-perceptions of aging, often informed by participants' lived experiences of cumulative effects of SLE symptoms and SLE disease trajectory, and underscoring the diversity of their experiences. Understanding self-perceptions of aging in this population could inform the development of evidence-based strategies to empower older adults with SLE to harness their positivity and resilience, and thus improve health-related outcomes, including health-related quality of life.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".