Understanding research priorities in home health care: a topic modeling analysis of the health services literature
Mijin Bae, Minsung Kim, Aeri Kim, Hana Lee, Kyungmi Woo · 2026
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Description
Bae and colleagues used topic modeling, an algorithm that clusters word patterns, to map seven decades of home health care research and find its blind spots. Their 2026 analysis ran latent Dirichlet allocation over 39,548 PubMed papers published from 1952 to April 2025, distilling them into ten coherent topics.
Healthcare resource utilization was the steadiest theme across the whole period, anchoring the field's agenda. Telehealth, end-of-life services, and technology-assisted caregiving grew fastest, a shift visible from the 2010s and supercharged by the pandemic, when telehealth visits leapt from 0.2% of medical claims in 2019 to 15.4% in 2020 nationally. Pediatric home care and screening of high-risk groups stayed notably underrepresented throughout.
Catalog record
| CREATOR | Mijin Bae, Minsung Kim, Aeri Kim, Hana Lee, Kyungmi Woo |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |