A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.

Journal: Journal of medical Internet research
PMID: 37023416

Abstract

BACKGROUND: Numerous studies have identified risk factors for physical restraint (PR) use in older adults in long-term care facilities. Nevertheless, there is a lack of predictive tools to identify high-risk individuals.

Authors

  • Jun Wang
    Department of Speech, Language, and Hearing Sciences and the Department of Neurology, The University of Texas at Austin, Austin, TX 78712, USA.
  • Hongmei Chen
  • Houwei Wang
    College of Mathematics and Physics, Chongqing University of Science and Technology, Chongqing, China.
  • Weichu Liu
    Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Daomei Peng
    Aged Care Unit, The First Social Welfare Home of Chongqing, Chongqing, China.
  • Qinghua Zhao
    Department of Orthopaedics, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
  • Mingzhao Xiao
    Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Keywords

External Resources

Popular Topics
Recent Journals