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Table 3 Characteristics of 1829 respondents in 2016

From: Can a multitiered copayment system affect people’s healthcare-seeking behavior? A case study of Wenzhou, China

Variables

Characteristics

N(%)/MEAN ± SD(Range)

At pre-change phase

At post-change phase

Have effects

(%)

Uncertainty

(%)

No effects

(%)

χ2

P-value

Have effects

(%)

Uncertainty

(%)

No effects

(%)

χ2

P-value

Predisposing variables

Gender

Male

941 (51.4)

128 (7.0)

22 (1.2)

791 (43.2)

0.395

0.821

480 (26.2)

131 (7.2)

330 (18.0)

0.056

0.973

Female

888 (48.6)

128 (7.0)

23 (1.3)

737 (40.3)

  

450 (24.6)

122 (6.7)

316 (17.3)

  

Age

47.382 ± 14.945 (15–93)

Age group

15–24

86 (4.7)

21 (1.1)

5 (0.3)

60 (3.3)

49.688

 < 0.001

46 (2.5)

21 (1.1)

19 (1.0)

65.102

 < 0.001

25–34

310 (16.9)

61 (3.3)

5 (0.3)

244 (13.3)

  

188 (10.3)

45 (2.5)

77 (4.2)

  

35–44

436 (23.8)

59 (3.2)

21 (1.1)

356 (19.5)

  

223 (12.2)

66 (3.6)

147 (8.0)

  

45–54

421 (23.0)

65 (3.6)

8 (0.4)

348 (19.0)

  

230 (12.6)

57 (3.1)

134 (7.3)

  

55–64

310 (16.9)

28 (1.5)

3 (0.2)

279 (15.3)

  

138 (7.5)

35 (1.9)

137 (7.5)

  

 >  = 65

266 (14.5)

22 (1.2)

3 (0.2)

241 (13.2)

  

105 (5.7)

29 (1.6)

132 (7.2)

  

Education

No education

292 (16.0)

38 (2.1)

7 (0.4)

247 (13.5)

9.883

0.262

123 (6.7)

43 (2.4)

126 (6.9)

42.479

 < 0.001

Primary school

511 (27.9)

66 (3.6)

8 (0.4)

437 (23.9)

  

260 (14.2)

50 (2.7)

201 (11.0)

  

Secondary school

585 (32.0)

80 (4.4)

15 (0.8)

490 (26.8)

  

330 (18.0)

70 (3.8)

185 (10.1)

  

High school or technical school

244 (13.3)

40 (2.2)

5 (0.3)

199 (10.9)

  

120 (6.6)

51 (2.8)

73 (4.0)

  

College or higher

197 (10.8)

32 (1.7)

10 (0.5)

155 (8.5)

  

97 (5.3)

39 (2.1)

61 (3.3)

  

Marital status

Married

1659 (90.7)

220 (12.0)

39 (2.1)

1400 (76.5)

9.021

0.009

845 (46.2)

210 (11.5)

604 (33.0)

23.803

 < 0.001

Other (Single, divorced, widowed and separated)

170 (9.3)

36 (2.0)

6 (0.3)

128 (7.0)

  

85 (4.6)

43 (2.4)

42(2.3)

  

Employment status

Employment

1211 (66.2)

189 (10.3)

34 (1.9)

988 (54.0)

22.073

0.004

645 (35.3)

169 (9.2)

397(21.7)

55.366

 < 0.001

Unemployment

355 (19.4)

31 (1.7)

7 (0.4)

317 (17.3)

  

175 (9.6)

54 (3.0)

126(6.9)

  

Retired

215 (11.8)

23 (1.3)

4 (0.2)

188 (10.3)

  

84 (4.6)

15 (0.8)

116(6.3)

  

Student

43 (2.4)

12 (0.7)

0 (0.0)

31 (1.7)

  

24 (1.3)

14 (0.8)

5(0.3)

  

Others

5 (0.3)

1 (0.1)

0 (0.0)

4 (0.2)

  

2 (0.1)

1 (0.1)

2(0.1)

  

Enabling variables

Social support

Good

1304 (71.3)

183 (10.0)

26 (1.4)

1095 (59.9)

12.484

0.011

692 (37.8)

145 (7.9)

467 (25.5)

48.449

 < 0.001

Medium

449 (24.5)

68 (3.7)

19 (1.0)

362 (19.8)

  

202 (11.0)

104 (5.7)

143 (7.8)

  

Poor

76 (4.2)

5 (0.3)

0 (0.0)

71 (3.9)

  

36 (2.0)

4 (0.2)

36 (2.0)

  

Types of insurance

UEBMI

249 (13.6)

36 (2.0)

13 (0.7)

200 (10.9)

15.855

0.010

117 (6.4)

41 (2.2)

91 (5.0)

6.171

0.404

URBMI

1324 (72.4)

178 (9.7)

31 (1.7)

1115 (61.0)

  

678 (37.1)

186 (10.2)

460 (25.2)

  

NRCMI

208 (11.4)

36 (2.0)

0 (0.0)

172 (9.4)

  

111 (6.1)

19 (1.0)

78 (4.3)

  

No insurance

48 (2.6)

6 (0.3)

1 (0.1)

41 (2.2)

  

24 (1.3)

7 (0.4)

17 (0.9)

  

Distance to a medical care facility

Arrive within 10 min (inclusive)

1541 (84.3)

220 (12.0)

40 (2.2)

1281 (70.0)

5.056

0.241

718 (39.3)

218 (11.9)

605 (33.1)

107.316

 < 0.001

Arrive within 20 min (inclusive)

277 (15.1)

36 (2.0)

4 (0.2)

237 (13.0)

  

211 (11.5)

32 (1.7)

34 (1.9)

  

Arrive more than 20 min

11 (0.6)

0 (0.0)

1 (0.1)

10 (0.5)

  

1 (0.1)

3 (0.2)

7 (0.4)

  

Household Income

97,914 ± 159,896 (0–5,000,000)

Household Income

Good

394 (21.5)

61 (3.3)

11 (0.6)

322 (17.6)

2.186

0.702

187 (10.2)

65 (3.6)

142 (7.8)

11.544

0.021

Medium

1057 (57.8)

147 (8.0)

27 (1.5)

883 (48.3)

  

570 (31.2)

129 (7.1)

358 (19.6)

  

Poor

378 (20.7)

48 (2.6)

7 (0.4)

323 (17.7)

  

173 (9.5)

59 (3.2)

146 (8.0)

  

Need variables

Types of chronic diseases

0

1131 (61.8)

175 (9.6)

26 (1.4)

930 (50.8)

13.860

0.142

574 (31.4)

167 (9.1)

390 (21.3)

9.231

0.479

1

459 (25.1)

55 (3.0)

13 (0.7)

391 (21.4)

  

242 (13.2)

60 (3.3)

157 (8.6)

  

2

175 (9.6)

16 (0.9)

6 (0.3)

153 (8.4)

  

85 (4.6)

16 (0.9)

74 (4.0)

  

3

50 (2.7)

6 (0.3)

0 (0.0)

44 (2.4)

  

22 (1.2)

8 (0.4)

20 (1.1)

  

4

10 (0.5)

2 (0.1)

0 (0.0)

8 (0.4)

  

5 (0.3)

1 (0.1)

4 (0.2)

  

 >  = 5

4 (0.2)

2 (0.1)

0 (0.0)

2 (0.1)

  

2 (0.1)

1 (0.1)

1 (0.1)

  

Self-rated health status scores

78.929 ± 12.718 (1–100)

Self-rated health status

Good

153 (8.4)

27 (1.5)

8 (0.4)

118 (6.5)

18.576

 < 0.001

77 (4.2)

24 (1.3)

52 (2.8)

9.376

0.052

Medium

1442 (78.8)

185 (10.1)

27 (1.5)

1230 (67.2)

  

713 (39.0)

201 (11.0)

528 (28.9)

  

Poor

234 (12.8)

44 (2.4)

10 (0.5)

180 (9.8)

  

140 (7.7)

28 (1.5)

66 (3.6)

  
  1. UEBMI Urban Employee Basic Medical Insurance, URBMI Urban Resident’s Basic Medical Insurance, NRCMI New Rural Cooperative Medical Insurance