Characterising and predicting persistent high-cost utilisers in healthcare: a retrospective cohort study in Singapore.

Journal: BMJ open
PMID: 31911514

Abstract

OBJECTIVE: We aim to characterise persistent high utilisers (PHUs) of healthcare services, and correspondingly, transient high utilisers (THUs) and non-high utilisers (non-HUs) for comparison, to facilitate stratifying HUs for targeted intervention. Subsequently we apply machine learning algorithms to predict which HUs will persist as PHUs, to inform future trials testing the effectiveness of interventions in reducing healthcare utilisation in PHUs.

Authors

  • Sheryl Hui Xian Ng
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Nabilah Rahman
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Ian Yi Han Ang
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Srinath Sridharan
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Sravan Ramachandran
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Debby Dan Wang
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Astrid Khoo
    Regional Health System Office, National University Health System, Singapore, Singapore.
  • Chuen Seng Tan
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Mengling Feng
    Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore.
  • Sue-Anne Ee Shiow Toh
    Regional Health System Office, National University Health System, Singapore, Singapore.
  • Xin Quan Tan
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore kyletanxq@gmail.com.

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