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Factors affecting in‐hospital cost and mortality of patients with stroke: Evidence from a case study in a tertiary hospital in China

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Listed:
  • Chuang Liu
  • Li Luo
  • Lijuan Duan
  • Shangyan Hou
  • Baoyue Zhang
  • Yan Jiang
Abstract
Objective The study aims to investigate the factors causing the difference of stroke patients' in‐hospital cost and study these factors on health outcome in terms of mortality. Methods Eight hundred and sixty‐two in‐patients with stroke in a tertiary hospital in China from 2017 to 2019 were included in the database. Descriptive statistics indexes were used to describe patients' in‐hospital cost and mortality. Based on Elixhauser coding algorithms, multiple linear regression and logistic regressions (LRs) were used to evaluate the impact of factors identified from univariate analysis on in‐hospital cost and mortality, respectively. In addition to LRs, a comparison study was then carried out with random forest, gradient boosting decision tree and artificial neural network. Results Factors affecting both cost and mortality are age, discharged day‐of‐week, length of stay, stroke subtype, other neurological disorders, renal failure, fluid and electrolyte disorders and total number of comorbidities. Conclusion With the increase of age, the mortality rate of in‐patients (except for the juvenile) with stroke increases and the cost of hospitalization decreases. Intracerebral haemorrhage is the most devastating stroke for its highest mortality in short length of stay. Medical services should focus on these specific comorbidities.

Suggested Citation

  • Chuang Liu & Li Luo & Lijuan Duan & Shangyan Hou & Baoyue Zhang & Yan Jiang, 2021. "Factors affecting in‐hospital cost and mortality of patients with stroke: Evidence from a case study in a tertiary hospital in China," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(2), pages 399-422, March.
    • Handle: RePEc:bla:ijhplm:v:36:y:2021:i:2:p:399-422
    DOI: 10.1002/hpm.3090
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    References listed on IDEAS

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    1. Li Luo & Chuang Liu & Li Feng & Shuzhen Zhao & Renrong Gong, 2018. "A random forest and simulation approach for scheduling operation rooms: Elective surgery cancelation in a Chinese hospital urology department," International Journal of Health Planning and Management, Wiley Blackwell, vol. 33(4), pages 941-966, October.
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    3. Wimo, Anders & von Strauss, Eva & Nordberg, Gunilla & Sassi, Franco & Johansson, Lennarth, 2002. "Time spent on informal and formal care giving for persons with dementia in Sweden," Health Policy, Elsevier, vol. 61(3), pages 255-268, September.
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