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Understanding variations and influencing factors on length of stay for T2DM patients based on a multilevel model

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  • Wen Liu
  • Jingcheng Shi
  • Simin He
  • Xi Luo
  • Weijun Zhong
  • Fang Yang

Abstract

Aim: Shortening the length of stay (LOS) is a potential and sustainable way to relieve the pressure that type 2 diabetes mellitus (T2DM) patients placed on the public health system. Method: Multi-stage random sampling was used to obtain qualified hospitals and electronic medical records for patients discharged with T2DM in 2018. A box-cox transformation was adopted to normalize LOS. Multilevel model was used to verify hospital cluster effect on LOS variations and screen potential factors for LOS variations from both individual and hospital levels. Result: 50 hospitals and a total of 12,888 T2DM patients were included. Significant differences in LOS variations between hospitals, and a hospital cluster effect on LOS variations (t = 92.188, P

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  • Wen Liu & Jingcheng Shi & Simin He & Xi Luo & Weijun Zhong & Fang Yang, 2021. "Understanding variations and influencing factors on length of stay for T2DM patients based on a multilevel model," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-14, March.
    • Handle: RePEc:plo:pone00:0248157
    DOI: 10.1371/journal.pone.0248157
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    References listed on IDEAS

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    1. Cora J. M. Maas & Joop J. Hox, 2004. "Robustness issues in multilevel regression analysis," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(2), pages 127-137, May.
    2. Dawei Zhu & Xuefeng Shi & Stephen Nicholas & Ping He, 2020. "Regional disparities in health care resources in traditional Chinese medicine county hospitals in China," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-13, January.
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