Clinicosocial determinants of hospital stay following cervical decompression: A public healthcare perspective and machine learning model.

Journal: Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
PMID: 38821028

Abstract

OBJECTIVE: Post-operative length of hospital stay (LOS) is a valuable measure for monitoring quality of care provision, patient recovery, and guiding hospital resource management. But the impact of patient ethnicity, socio-economic deprivation as measured by the indices of multiple deprivation (IMD), and pre-existing health conditions on LOS post-anterior cervical decompression and fusion (ACDF) is under-researched in public healthcare settings.

Authors

  • Sayan Biswas
    Faculty of Biology, Medicine and Health, University of Manchester, M13 9PL Manchester, England, United Kingdom. Electronic address: sayan.biswas@nca.nhs.uk.
  • Luqman Naim Bin Aizan
    Department of General Surgery, Warrington and Halton Foundation Trust, Warrington, United Kingdom.
  • Katie Mathieson
    Faculty of Biology, Medicine and Health, University of Manchester, M13 9PL Manchester, England, United Kingdom.
  • Prashant Neupane
    Department of Vascular Surgery, Manchester Vascular Centre, Manchester Royal Infirmary, M13 9WL Manchester, United Kingdom.
  • Ella Snowdon
    Faculty of Biology, Medicine and Health, University of Manchester, M13 9PL Manchester, England, United Kingdom.
  • Joshua MacArthur
    Faculty of Biology, Medicine and Health, University of Manchester, M13 9PL Manchester, England, United Kingdom.
  • Ved Sarkar
    College of Letters and Sciences, University of California, Berkeley, CA 94720, United States of America.
  • Callum Tetlow
    Division of Data Science, The Northern Care Alliance NHS Group, M6 8HD Manchester, England, United Kingdom.
  • K Joshi George
    Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, M6 8HD Manchester, England, United Kingdom.

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