Big Data-Enabled Analysis of DRGs-Based Payment on Stroke Patients in Jiaozuo, China

Joint Authors

Qiao, Dawei
Zhang, Yanru
Rehman, Ateeq ur
Khosravi, Mohammad R.

Source

Journal of Healthcare Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-03

Country of Publication

Egypt

No. of Pages

9

Main Topic

Public Health
Medicine

Abstract EN

Stroke is the first leading cause of mortality in China with annual 2 million deaths.

According to the National Health Commission of the People’s Republic of China, the annual in-hospital costs for the stroke patients in China reach ¥20.71 billion.

Moreover, multivariate stepwise linear regression is a prevalent big data analysis tool employing the statistical significance to determine the explanatory variables.

In light of this fact, this paper aims to analyze the pertinent influence factors of diagnosis related groups- (DRGs-) based stroke patients on the in-hospital costs in Jiaozuo city of Henan province, China, to provide the theoretical guidance for medical payment and medical resource allocation in Jiaozuo city of Henan province, China.

All medical data records of 3,590 stroke patients were from the First Affiliated Hospital of Henan Polytechnic University between 1 January 2019 and 31 December 2019, which is a Class A tertiary comprehensive hospital in Jiaozuo city.

By using the classical statistical and multivariate linear regression analysis of big data related algorithms, this study is conducted to investigate the influence factors of the stroke patients on in-hospital costs, such as age, gender, length of stay (LoS), and outcomes.

The essential findings of this paper are shown as follows: (1) age, LoS, and outcomes have significant effects on the in-hospital costs of stroke patients; (2) gender is not a statistically significant influence factor on the in-hospital costs of the stroke patients; (3) DRGs classification of the stroke patients manifests not only a reduced mean LoS but also a peculiar shape of the distribution of LoS.

American Psychological Association (APA)

Qiao, Dawei& Zhang, Yanru& Rehman, Ateeq ur& Khosravi, Mohammad R.. 2020. Big Data-Enabled Analysis of DRGs-Based Payment on Stroke Patients in Jiaozuo, China. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1186358

Modern Language Association (MLA)

Qiao, Dawei…[et al.]. Big Data-Enabled Analysis of DRGs-Based Payment on Stroke Patients in Jiaozuo, China. Journal of Healthcare Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1186358

American Medical Association (AMA)

Qiao, Dawei& Zhang, Yanru& Rehman, Ateeq ur& Khosravi, Mohammad R.. Big Data-Enabled Analysis of DRGs-Based Payment on Stroke Patients in Jiaozuo, China. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1186358

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1186358