Screening for frequent hospitalization risk among community-dwelling older adult between 2016 and 2023: machine learning-driven item selection, scoring system development, and prospective validation
A small subset of CGA items representing one's independence in aspects of (instrumental) activities of daily living, mobility, history of COPD, and social service utilization are sufficient for community members at risk of frequent hospitalization. The determinants of frequent hospitalization represented by the subset of CGA items remain relevant over the course of COVID-19 pandemic and across sociogeography.
Authors
- Eman Leung (ORCID: https://orcid.org/0000-0002-8267-1785)
- Frank Chen (ORCID: https://orcid.org/0000-0003-4707-9361)
- Qingpeng Zhang (ORCID: https://orcid.org/0000-0002-6819-0686)
- Richard Huan Xu (ORCID: https://orcid.org/0000-0002-4720-5172)
- Chun Cheung Ching
- Jingjing Guan (ORCID: https://orcid.org/0000-0002-9911-2293)
- Y.-J. LIU (ORCID: https://orcid.org/0009-0006-2706-4014)
- Hector W. H. Tsang (ORCID: https://orcid.org/0000-0003-3003-8598)
- Albert Lee (ORCID: https://orcid.org/0000-0002-5888-5660)
- Hang Sau Ng
- Herman Yee (ORCID: https://orcid.org/0000-0003-3165-7315)
Institutions
- Hong Kong Polytechnic University (HK)
- City University of Hong Kong (HK)
- Chinese University of Hong Kong (HK)
- University Grants Committee (HK)
- Hong Kong Jockey Club (HK)
- University of Hong Kong (HK)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2024-11-27
- DOI
- https://doi.org/10.3389/fpubh.2024.1413529
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00