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Grey correlation analysis of influencing factors of prevention services expenditure, Guizhou
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Yi-juan LV1, Hua SHI1, Li YE2, Ke ZHANG2, Xu SU2, Fei-qing WANG1, Cong WANG1, Qing-hua WANG3, Wan-ju TAO1
Modern Preventive Medicine | 2024, 51(22) : 4140 - 4146
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Modern Preventive Medicine | 2024, 51(22): 4140-4146
Health Policy and Management
Grey correlation analysis of influencing factors of prevention services expenditure, Guizhou
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Yi-juan LV1, Hua SHI1, Li YE2, Ke ZHANG2, Xu SU2, Fei-qing WANG1, Cong WANG1, Qing-hua WANG3, Wan-ju TAO1
Affiliations
  • The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou 550001, China
Published: 2024-11-25 doi: 10.20043/j.cnki.MPM.202406405
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Objective

To analyze the influencing factors of preventive service cost in Guizhou Province from 2016 to 2022 by using grey correlation degree method.

Methods

Based on the accounting results of “SHA2011” and the data of “Guizhou Statistical Yearbook” and “Guizhou Health Statistical Yearbook”, the factors affecting the cost of preventive services in Guizhou from 2016 to 2022 were analyzed by using grey correlation method.

Results

The highest correlation with the cost of preventive services in Guizhou province was the number of health technicians in epidemic prevention and control and maternal and child health institutions (0.826), followed by the gross enrollment rate of higher education (0.735), the number of health technology beds in epidemic prevention and control and maternal and child health institutions (0.730). The lowest correlation was the proportion of tertiary industry in GDP (0.593).

Conclusion

Health resource input has the strongest correlation with the cost of preventive services. Health fund input and public health services are the main influencing factors of the cost of preventive services in Guizhou Province. At the same time, full attention should be paid to the influence of social factors such as economic development, education level, urbanization level and age structure on the cost of preventive services.

Prevention services expenditure  /  Influencing factors  /  Grey correlation  /  Guizhou
Yi-juan LV, Hua SHI, Li YE, Ke ZHANG, Xu SU, Fei-qing WANG, Cong WANG, Qing-hua WANG, Wan-ju TAO. Grey correlation analysis of influencing factors of prevention services expenditure, Guizhou[J]. Modern Preventive Medicine, 2024 , 51 (22) : 4140 -4146 . DOI: 10.20043/j.cnki.MPM.202406405
Year 2024 volume 51 Issue 22
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Article Info
doi: 10.20043/j.cnki.MPM.202406405
  • Receive Date:2024-06-25
  • Online Date:2026-03-20
  • Published:2024-11-25
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  • Received:2024-06-25
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    The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou 550001, China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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