Gray Correlation Analysis of Personal Health Expenditure in Shanghai

To analyze the influencing factors of personal health expenditure in Shanghai. Methods: Data were obtained from the 2012–2022 China Health Statistics Yearbook and Shanghai Statistics Yearbook, and analyzed by gray correlation analysis. Results: All indicators of health expenditure in Shanghai showed an increasing trend in 2012–2021 The three indicators with the highest correlation with personal health expenditure were social health expenditure, government health expenditure, and the number of inpatient surgical procedures; the three indicators with the lowest correlation with personal health expenditure were the mortality rate, the number of urban residents and employees insured, and the number of health technicians per 1,000 population. Conclusion: Economic development factors, mainly social and governmental health expenditures, are more strongly associated with personal health expenditures in Shanghai, while population status factors, mainly mortality rates, the number of urban residents and employees insured, are less strongly associated with personal health expenditures in Shanghai.<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>

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Published
2024-09-20
DOI
https://doi.org/10.1109/csis-iac63491.2024.10919301
Primary Topic
Global Health Care Issues
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article
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article

Gray Correlation Analysis of Personal Health Expenditure in Shanghai

Peng Gao, Hongyan Li, Luyu Zang
Global Health Care Issues
article

Gray Correlation Analysis of Personal Health Expenditure in Shanghai

Peng Gao, Hongyan Li, Luyu Zang
article en

Abstract

To analyze the influencing factors of personal health expenditure in Shanghai. Methods: Data were obtained from the 2012–2022 China Health Statistics Yearbook and Shanghai Statistics Yearbook, and analyzed by gray correlation analysis. Results: All indicators of health expenditure in Shanghai showed an increasing trend in 2012–2021 The three indicators with the highest correlation with personal health expenditure were social health expenditure, government health expenditure, and the number of inpatient surgical procedures; the three indicators with the lowest correlation with personal health expenditure were the mortality rate, the number of urban residents and employees insured, and the number of health technicians per 1,000 population. Conclusion: Economic development factors, mainly social and governmental health expenditures, are more strongly associated with personal health expenditures in Shanghai, while population status factors, mainly mortality rates, the number of urban residents and employees insured, are less strongly associated with personal health expenditures in Shanghai.<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>

Shanghai University of Engineering Science (CN)
Decent work and economic growth
Openalex Percentile: Top 52%
Global Health Care Issues
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