平均住院总费用的灰色关联分析及趋势预测 ——以关节置换术患者为例

doi:10.3969/j.issn.1006-5253.2020.04.003

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Abstract To provide scientific basis and suggestion for further reasonable control of hospitalization expenses about joint replacement patients and reduce their economic burden. Methods Gray correlation analysis and grey prediction model(1,1) were used to analyze the influencing factors of the hospitalization expenses from 2013 to 2018, and then to forecast drug proportion and overall average hospitalization costs per patient from 2019 to 2023. Results Consumables fee and drug cost were main factors for average total hospitalization expenses; from 2019 to 2023, the predictive value of drug proportion and average total hospitalization costs were presented the downward trend. Conclusion Hospitalization expenses about surgical patients have been controlled, and technical value of medical staff has been upgraded.The hospital should continue to control the cost of consumables and drugs, accelerate to implement enhanced recovery after surgery, speed up the reform of supporting measures, and maintain a good trend of development.

Key words： artificial joint replacement average general hospitalization expense grey related analysis grey prediction model (1,1)

Received: 28 February 2020

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	Articles by authors
	Hou Jifei
	Hu Chuan
	Wang Yue
	Li Jing
	Zhang Yun.

Cite this article:

Hou Jifei,Hu Chuan,Wang Yue, et al. Gray correlation analysis and trend prediction on average general hospitalization expenses: example of joint replacement patients[J]. journal1, 2020, 27(4): 298-302.

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http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2020.04.003 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2020/V27/I4/298

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