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. 2020 Dec 10:8:563180.
doi: 10.3389/fpubh.2020.563180. eCollection 2020.

Associations Between Geodemographic Factors and Access to Public Health Services Among Chinese Floating Population

Ming Guan  1   2   3
Affiliations

Associations Between Geodemographic Factors and Access to Public Health Services Among Chinese Floating Population

Ming Guan. Front Public Health. .

Abstract

Background: The floating population in urban China is facing multiple barriers to access to comprehensive, affordable, and culturally effective public health services. However, little is known about the role of geodemographic factors. This study aimed to assess the associations between geodemographic factors and access to public health services among the Chinese floating population. Methods: This study employed the data from the 2015 Migrant Dynamic Monitoring Survey data in China. Descriptive statistical analysis and principal component analysis were used to provide basic characteristics of the main variables. Multiple logistic models were used to analyze how province-level units, economic regions, and economic zones had significant associations with residential health records establishment, social medical insurance, and types and methods of health knowledge attainment in urban China. Using multiple indicator multiple cause models, the association between geodemographic factors and types and methods of health knowledge attainment was studied. Results: The results indicated that there was regional unbalance in the case of residential health records. Regional differences were significantly associated with social medical insurance. Provincial differences were significantly associated with health knowledge attainment. There were regional differences in the methods of health knowledge attainment. In the most provincial units, geodemographic factors had significant associations with types and methods of health knowledge attainment. Conclusions: This study confirmed empirical associations between geodemographic factors and access to public health services among Chinese floating population. The relevant suggestion was that provincial units with less-developed public health services should enhance their capabilities to equalize public health services.

Keywords: floating population; geographical differences; health knowledge; health records; social medical insurance.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Province-level units ERHR>40%.
Figure 2
Figure 2
Province-level units with SMIR >10%.
Figure 3
Figure 3
Province-level units with IHKR>10%.
Figure 4
Figure 4
Province-level units with MIHKR >1.
Figure 5
Figure 5
Total sample.
Figure 6
Figure 6
Hebei.
Figure 7
Figure 7
Shanxi.
Figure 8
Figure 8
Inner Mongolia.
Figure 9
Figure 9
Liaoning.
Figure 10
Figure 10
Jilin.
Figure 11
Figure 11
Heilongjiang.
Figure 12
Figure 12
Jiangsu.
Figure 13
Figure 13
Zhejiang.
Figure 14
Figure 14
Anhui.
Figure 15
Figure 15
Fujian.
Figure 16
Figure 16
Jiangxi.
Figure 17
Figure 17
Shandong.
Figure 18
Figure 18
Henan.
Figure 19
Figure 19
Hubei.
Figure 20
Figure 20
Hunan.
Figure 21
Figure 21
Guangdong.
Figure 22
Figure 22
Guangxi.
Figure 23
Figure 23
Hainan.
Figure 24
Figure 24
Chongqing.
Figure 25
Figure 25
Sichuan.
Figure 26
Figure 26
Guizhou.
Figure 27
Figure 27
Yunan.
Figure 28
Figure 28
Tibet.
Figure 29
Figure 29
Shannxi.
Figure 30
Figure 30
Gansu.
Figure 31
Figure 31
Qinghai.
Figure 32
Figure 32
Ningxia.
Figure 33
Figure 33
Xinjiang.
Figure 34
Figure 34
XPCC.
Figure 35
Figure 35
Total sample.
Figure 36
Figure 36
Hebei.
Figure 37
Figure 37
Jiangsu.
Figure 38
Figure 38
Fujian.
Figure 39
Figure 39
Jiangxi.
Figure 40
Figure 40
Henan.
Figure 41
Figure 41
Hubei.
Figure 42
Figure 42
Hunan.
Figure 43
Figure 43
Guangxi.
Figure 44
Figure 44
Chongqing.
Figure 45
Figure 45
Sichuan.
Figure 46
Figure 46
Tibet.
Figure 47
Figure 47
Shannxi.
Figure 48
Figure 48
Gansu.
Figure 49
Figure 49
Ningxia.
Figure 50
Figure 50
XPCC.
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