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Analysis on the current situation and influencing factors of hospitalization choice behavior of floating population
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Yu-lin CHAI1, Jie DU2, Shu-ning LI1, Shuai-hao ZHU1, Wen-chao WANG1, Yi HUANG3, Qing ZHOU4, Jun-chang LIN1
Modern Preventive Medicine | 2024, 51(1) : 82 - 87
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Modern Preventive Medicine | 2024, 51(1): 82-87
Primary Health Services
Analysis on the current situation and influencing factors of hospitalization choice behavior of floating population
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Yu-lin CHAI1, Jie DU2, Shu-ning LI1, Shuai-hao ZHU1, Wen-chao WANG1, Yi HUANG3, Qing ZHOU4, Jun-chang LIN1
Affiliations
  • School of Management, Weifang Medical College, Weifang, Shandong 261053, China
Published: 2024-01-10 doi: 10.20043/j.cnki.MPM.202303532
Outline
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Objective

To investigate the choice of hospitalization location of floating population and analyze the influencing factors, to provide suggestions for further improving the fairness and accessibility of health services used by floating population and improving the urban medical and health service system.

Methods

The data of 4 547 floating people who had used hospitalization service in the 2018 national floating population health and family planning dynamic monitoring questionnaire were analyzed. The main analysis methods were statistical description, χ2 test, and binary logistic regression analysis.

Results

Among the 4 547 floating people who used hospitalization services, 3 435 people chose to stay in local hospital, accounting for 75.5%. Binary logistic regression analysis showed that people with education of junior high school and primary school or below (OR=0.732, 95%CI: 0.578-0.927; OR=0.673, 95%CI: 0.514-0.883), inter-provincial mobility (OR=0.784, 95%CI: 0.647-0.949), occupation as production and transportation workers (OR=0.644, 95%CI: 0.462-0.897), and no contracted family doctor (OR=0.782, 95%CI: 0.615-0.994) were more likely to choose non-local hospitals for hospitalization. Those who did not have medical insurance (OR=1.516, 95%CI: 1.071-2.146) and with self-assessed health and basic health (OR=1.813, 95%CI: 1.450-2.268;OR=1.353, 95%CI: 1.095-1.671) were more likely to be hospitalized in the inflow area.

Conclusion

The level of hospitalization service utilization of floating population in China has been improved, but there is still room for improvement. Attention should be paid to the demands of floating population for medical treatment and hospitalization and health security. We should constantly narrow the gap in the utilization of public health services between the floating population and the local population and improve the fairness and accessibility of access to medical and health resources.

Floating population  /  Choice of hospitalization location  /  Influencing factors
Yu-lin CHAI, Jie DU, Shu-ning LI, Shuai-hao ZHU, Wen-chao WANG, Yi HUANG, Qing ZHOU, Jun-chang LIN. Analysis on the current situation and influencing factors of hospitalization choice behavior of floating population[J]. Modern Preventive Medicine, 2024 , 51 (1) : 82 -87 . DOI: 10.20043/j.cnki.MPM.202303532
Year 2024 volume 51 Issue 1
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Article Info
doi: 10.20043/j.cnki.MPM.202303532
  • Receive Date:2023-03-26
  • Online Date:2026-03-19
  • Published:2024-01-10
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  • Received:2023-03-26
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    School of Management, Weifang Medical College, Weifang, Shandong 261053, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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