Equitable Aging Among Migrants: A Concept Analysis and Model Development for Transcultural Nursing Care
Bibliographic record
Abstract
Introduction: Older migrants often face systemic barriers such as limited access to health care, social support, and culturally appropriate services, which hinder dignified aging. This concept analysis aims to define equitable aging among migrants and develop a model to guide transcultural nursing care. Methodology: Using Walker and Avant’s concept analysis method, a systematic search following PRISMA-ScR guidelines yielded 351 records. After deduplication, 349 titles and abstracts were screened, 138 full-text articles were reviewed, and 68 studies were included in the final analysis. Results: Three defining attributes of equitable aging were identified: fair and just provision of health and social care; elimination of systemic barriers; and inclusive culturally responsive care. A conceptual model was developed, aligning equitable aging with key principles of transcultural nursing. Discussion: This concept analysis offers greater conceptual clarity on equitable aging among migrants and identifies defining attributes that may inform future development of theoretical models and culturally responsive 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".