Structural biases in digital health intervention and health equity research: a bibliometric knowledge graph analysis (2015–2025)
Shengtao Li, Zhongyue Li, Cheng Chen, Wu Chen, Wenqian Du, Xiaolin Yao · 2026
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Description
Li and co-authors map a decade of research where digital health tools meet health equity, looking for built-in biases in the literature itself. Digital interventions promise fairer care, but if the research behind them is skewed, the tools may widen the gaps they claim to close.
The team analyzed 4,677 papers from 2015 to 2025 with bibliometric and knowledge-graph methods. Output exploded, yet the United States dominated, one journal family published most of the top venue's share, and health equity never formed its own strong research cluster. The authors describe a field growing fast but disordered, and they recommend core databases, new interdisciplinary journals, and support for innovation led by poorer countries.
Catalog record
| CREATOR | Shengtao Li, Zhongyue Li, Cheng Chen, Wu Chen, Wenqian Du, Xiaolin Yao |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 99 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |