Moderating effects of regional disparities on the relationship between individual determinants and public health service utilization among internal migrants: evidence from the China migrant dynamic survey in 2017

Table 2 The interactions between REDL and sex, residence time, education, community type, migration range, social participation and relative personal income on utilization of NEPHS(N = 102,632)

Variables	Subgroups	Rate of awareness of NEPHS (%)				Rate of health records registration (%)
Variables	Subgroups	Total	HIPs	LMIPs	Χ², p	Total	HIPs	LMIPs	Χ², p
Sex	Male	61.2	60.3	61.6	0.941, p = 0.332	30.9	29.4	31.5	12.650, p = 0.000
Sex	Female	63.6	61.2	64.6	0.941, p = 0.332	32.8	32.1	33.1	12.650, p = 0.000
Residence duration	≤3 years	62.4	59.1	63.9	3.168, p = 0.075	30.7	29.9	31.0	18.056, p = 0.000
Residence duration	> 3 years	62.2	61.4	62.5	3.168, p = 0.075	32.2	30.9	32.7	18.056, p = 0.000
Education	≤9 years	58.6	57.3	59.1	28.939, p = 0.000	30.0	27.5	31.0	9.268, p = 0.002
Education	> 9 years	67.9	66.3	68.6	28.939, p = 0.000	34.6	35.8	34.1	9.268, p = 0.002
Community type	Urban	63.9	65.0	63.6	1302.940, p = 0.000	33.1	34.6	32.6	352.507, p = 0.000
Community type	Rural	57.2	53.2	60.1	1302.940, p = 0.000	27.7	23.7	30.7	352.507, p = 0.000
Migration range	intra-province	64.8	67.3	64.2	2644.562, p = 0.000	34.2	36.6	33.6	1129.471, p = 0.000
Migration range	inter-province	58.9	57.5	60.5	2644.562, p = 0.000	28.5	26.7	29.7	1129.471, p = 0.000
Social participation	No	54.5	51.9	55.6	61.607, p = 0.000	25.8	23.3	26.8	78.782, p = 0.000
Social participation	Yes	70.7	69.7	71.1	61.607, p = 0.000	38.2	38.1	38.3	78.782, p = 0.000
Relative personal income	Low	59.4	57.9	60.4	2213.865, p = 0.000	30.1	27.9	31.6	911.543, p = 0.000
	Middle	63.4	62.3	63.8		32.6	32.3	32.7
	High	63.7	64.2	63.6		32.2	33.3	32.0

Note: (1) ***p < 0.001, **p < 0.01, *p < 0.05. (2) HIPs high income provinces, LMIPs low-and middle- income provinces, NEPHS: National Essential Public Health Services

ISSN: 1471-2458