| Literature DB >> 20298613 |
Yingchun Peng1, Wenhu Chang, Haiqing Zhou, Hongpu Hu, Wannian Liang.
Abstract
BACKGROUND: Migrant workers are a unique phenomenon in the process of China's economic transformation. The household registration system classifies them as temporary residents in cities, putting them in a vulnerable state with an unfair share of urban infrastructure and social public welfare. The amount of pressure inflicted by migrant workers in Beijing, as one of the major migration destinations, is currently at a threshold. This study was designed to assess the factors associated with health-seeking behavior and to explore feasible solutions to the obstacles migrant workers in China faced with when accessing health-care.Entities:
Mesh:
Year: 2010 PMID: 20298613 PMCID: PMC2848137 DOI: 10.1186/1472-6963-10-69
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Socio-demographic characteristics of migrant workers in Beijing (n = 2478)
| Variable | n | % |
|---|---|---|
| Female | 1060 | 42.8 |
| Male | 1418 | 57.2 |
| 15-19 | 88 | 3.6 |
| 20-29 | 764 | 30.8 |
| 30-39 | 984 | 40.4 |
| 40-49 | 468 | 18.9 |
| 50-59 | 124 | 5.0 |
| Over 60 | 152 | 1.3 |
| Illiteracy | 280 | 11.3 |
| Primary school | 528 | 21.3 |
| Secondary school | 1206 | 48.7 |
| High school | 406 | 16.4 |
| University/college degree | 58 | 2.4 |
| Wholesale and retail | 702 | 28.3 |
| Lodging catering service | 494 | 19.9 |
| Construction | 454 | 18.3 |
| Manufacturing | 320 | 12.9 |
| Transport, storage and postal | 302 | 12.2 |
| Domestic service | 112 | 4.5 |
| Others | 94 | 3.8 |
| Less than 8 | 494 | 19.9 |
| 8-9 | 550 | 22.2 |
| 10-11 | 672 | 27.1 |
| 12-13 | 594 | 24.0 |
| Over 13 | 168 | 6.8 |
| Less than 250 | 98 | 4.0 |
| 251-500 | 152 | 6.1 |
| 501-750 | 640 | 25.8 |
| 751-1000 | 928 | 37.4 |
| 1001-1250 | 410 | 16.5 |
| Over 1250 | 250 | 10.1 |
| Less than 1 | 520 | 21.0 |
| 1-5 | 1549 | 62.5 |
| Over 5 | 409 | 16.5 |
| None | 2329 | 94.0 |
| Employer-based medical insurance | 57 | 2.3 |
| Commercial medical insurance | 27 | 1.1 |
| Social health insurance | 22 | 0.9 |
| Industrial injury insurance | 2 | 0.1 |
| Others | 40 | 1.6 |
Note: Table 1 presents the socio-demographic characteristics of all the migrant workers that participated in the study, the total sample is 2,478.
Self-reported preferred medical institutions by migrant workers when fallen ill in Beijing
| Medical institutions | n | % |
|---|---|---|
| Not seeking care in medical institutions | 504 | 20.3 |
| Village health clinics or community health service stations | 784 | 31.6 |
| Township hospital | 358 | 14.4 |
| District-level hospital | 266 | 10.7 |
| City-level hospital or above | 362 | 14.6 |
| Unlicensed private clinic | 172 | 6.9 |
| Others | 32 | 1.3 |
| Total | 2478 | 100.0 |
Note: Table 2 presents the self-reported preferred medical institutions by migrant workers when fallen ill in Beijing, 504 of the total subjects replied they would never seek any health care from medical institutions (n = 2478).
Self-reported main reasons for not seeking health care among migrant workers when fallen ill in Beijing (n = 732)
| Main reasons | n | % |
|---|---|---|
| Feeling their own diseases not severe enough | 485 | 66.2 |
| Unable to pay medical expenses | 65 | 8.9 |
| Unreasonable charges in medical institutions | 51 | 7.0 |
| Knowing how to deal with diseases themselves | 45 | 6.2 |
| Having no free time | 40 | 5.5 |
| Long distance from medical institutions | 13 | 1.8 |
| Complicated medical procedures | 13 | 1.8 |
| Long queuing and waiting time | 12 | 1.6 |
| Poor service attitude and discrimination | 4 | 0.6 |
| Excessive service | 1 | 0.1 |
| Others | 2 | 0.3 |
| Total | 732 | 100.0 |
Note: 316 of the total subjects replied they had not yet gotten sick, 1,430 (66.1%) of the remaining 2,162 respondents (2,478 minus 316) answered that they would see a doctor, while the remaining 732 subjects (2,162 minus 1,430) would not seeking health care, the reasons were shown in Table 3.
Health seeking behavior within the past two weeks among migrant workers who fell ill and visited doctors
| Item | Person-time | % |
|---|---|---|
| Saw a doctor | 118 | 36.4 |
| Self-medication | 108 | 33.3 |
| Non use | 98 | 30.3 |
| Total | 324 | 100.0 |
| Village health clinics or community health service stations | 53 | 44.6 |
| Township hospital | 7 | 6.2 |
| District-level hospital | 20 | 16.9 |
| City-level hospital or above | 15 | 12.3 |
| Unlicensed private clinic | 24 | 20.0 |
| Total | 118 | 100.0 |
Note: 309 (324 incidents) of the total respondents fell ill within the past two weeks, while only 4.6% (118) of the respondents had visited a doctor.
Association of demographic characteristics and health seeking behavior among migrant workers who fell sick in the past two weeks
| Characteristic | Number of fallen sick | Number of those who saw a doctor (%) | ||
|---|---|---|---|---|
| Female | 157 | 58(36.9) | 0.036 | 0.850 |
| Male | 167 | 60(35.9) | ||
| 15-19 | 45 | 17(37.8) | 0.827 | 0.975 |
| 20-29 | 53 | 19(35.8) | ||
| 30-39 | 48 | 21(43.8) | ||
| 40-49 | 57 | 15(26.3) | ||
| 50-59 | 61 | 23(37.7) | ||
| Over 60 | 60 | 23(38.3) | ||
| Illiteracy | 53 | 12(22.6) | 9.857 | 0.043 |
| Primary school | 65 | 21(32.3) | ||
| Secondary school | 145 | 55(37.9) | ||
| High school | 51 | 24(47.1) | ||
| University/college degree | 10 | 6(60.0) | ||
| Wholesale and retail | 41 | 21(51.2) | 10.699 | 0.098 |
| Lodging catering service | 52 | 14(26.9) | ||
| Construction | 40 | 10(25.0) | ||
| Manufacturing | 46 | 15(32.6) | ||
| Transport, storage and postal | 42 | 17(40.5) | ||
| Domestic service | 58 | 26(44.8) | ||
| Others | 45 | 15(33.3) | ||
| Less 8 | 70 | 34(48.6) | 15.290 | 0.004 |
| 8-9 | 60 | 27 (45.0) | ||
| 10-11 | 56 | 23(41.1) | ||
| 12-13 | 65 | 17(26.2) | ||
| Over 13 | 73 | 17(23.3) | ||
| Less 250 | 65 | 10(15.4) | 37.198 | 0.000 |
| 251-500 | 59 | 15(25.4) | ||
| 501-750 | 51 | 16(31.4) | ||
| 751-1000 | 63 | 26(41.3) | ||
| 1001-1250 | 46 | 25(54.3) | ||
| Over 1250 | 40 | 26(65.0) | ||
| Less 1 | 89 | 25(28.1) | 4.075 | 0.130 |
| 1-5 | 123 | 51(41.5) | ||
| Over 5 | 112 | 42(37.5) | ||
| Yes | 20 | 14(70.0) | 10.380 | 0.001 |
| No | 304 | 104(34.2) |
Note: 309 (324 incidents) of the total respondents fell ill within the past two weeks(n = 324).
Multilevel models on factors related to health seeking behavior among migrant workers who fell sick in the past two weeks
| Variable | OR | ||||
|---|---|---|---|---|---|
| Constant | -2.185 | 0.167 | 7.354 | 0.007 | 0.112 |
| Education | |||||
| Primary school (illiteracy) | 0.358 | 0.217 | 2.853 | 0.091 | 1.430 |
| Secondary school (illiteracy) | 0.420 | 0.109 | 2.523 | 0.112 | 1.522 |
| High school or above (illiteracy) | 0.453 | 0.165 | 3.301 | 0.074 | 1.573 |
| Monthly household income per capita | |||||
| 251-500(Less 250RMB) | 0.448 | 0.167 | 4.458 | 0.035 | 1.565 |
| 501-750(Less 250 RMB) | 0.577 | 0.156 | 8.201 | 0.004 | 1.781 |
| 751-1000(Less 250 RMB) | 0.611 | 0.183 | 5.962 | 0.015 | 1.842 |
| 1001-1250(Less 250 RMB) | 0.646 | 0.254 | 6.987 | 0.008 | 1.908 |
| Working hours per day | |||||
| 8-9(Less 8 hours) | 0.145 | 0.102 | 1.377 | 0.241 | 1.156 |
| 10-11(Less 8 hours) | -0.008 | 0.003 | 3.951 | 0.047 | 0.992 |
| 12-13(Less 8 hours) | -0.013 | 0.009 | 4.252 | 0.039 | 0.987 |
| Over13(Less 8 hours) | -0.532 | 1.163 | 9.214 | 0.002 | 0.587 |
| Insurance coverage (Yes) | 0.896 | 0.115 | 10.106 | 0.001 | 2.450 |
| Level 2 u0jk2 | 0.732 | 0.218 | 3.581 | 0.058 | 2.079 |
| Level 1 scale parameter δ | 1 | 0.000 | - | - | - |
Note: Category of each variable in the parentheses is the reference group. 309 (324 incidents) of the total respondents fell ill within the past two weeks(n = 324).