Home Healthcare Among Aging Migrants: A Joanna Briggs Institute Scoping Review
Bibliographic record
Abstract
Background/Objectives: The aging migrant population faces unique healthcare challenges due to linguistic, cultural, and systemic barriers. Home healthcare services play a crucial role in supporting aging migrants, yet accessibility and effectiveness remain inconsistent across different healthcare systems. This scoping review examines the experiences of aging migrants in home healthcare settings and explores the impact of these services on their health and well-being. This review aims to synthesize the existing literature on home healthcare experiences among aging migrants, highlighting the facilitators and barriers to effective service delivery and the implications for policy and practice. Method: A scoping review was conducted using the Joanna Briggs Institute (JBI) framework. A comprehensive search was performed across multiple databases, including CINAHL, Medline, and Scopus, for articles published between 2000 and 2024. Studies were selected based on predefined inclusion criteria focusing on home healthcare experiences among aging migrants. Data extraction and thematic analysis were conducted to identify key themes. Results: The review identified 35 studies across various geographical regions, highlighting four key themes: (1) Cultural and Linguistic Accessibility, (2) The Role of Informal Caregiving, (3) Structural and Systemic Challenges, and (4) Health Outcomes and Identity Preservation. The findings indicate that language barriers, cultural stigma, and systemic exclusion significantly hinder equitable access to home healthcare. Informal caregiving by family members remains a primary support mechanism, though it places considerable strain on caregivers. The lack of culturally competent healthcare services and inadequate policy frameworks exacerbate disparities in care. Conclusions: This review highlights the critical need for systemic reforms to improve healthcare accessibility for aging migrants. Policies must prioritize cultural competence training for healthcare providers, expand multilingual healthcare services, and integrate informal caregiving into formal support structures. Investment in community-driven healthcare initiatives and targeted outreach programs can help bridge existing service gaps. While home healthcare plays a vital role in supporting aging migrants, structural inequities and cultural barriers continue to hinder equitable access. Addressing these disparities requires comprehensive policy interventions, enhanced provider training, and culturally inclusive care models. Future research should explore innovative frameworks that incorporate culturally responsive practices to ensure effective and equitable home healthcare for aging migrant populations.
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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 | 0.016 | 0.055 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.028 | 0.026 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".