| Literature DB >> 33228187 |
Chaofang Yan1, Charuwan Tadadej1, Kanittha Chamroonsawasdi2, Natkamol Chansatitporn3, John Fc Sung4.
Abstract
BACKGROUND: Studies in China on ethnic disparities in access to health care in remote and rural population remain insufficient. This study aimed to assess the disparities in utilization of maternal and child health (MCH) services, including antenatal care (ANC), hospital birth, child growth monitoring, and immunization compliance between Han and ethnic minority women in Yunnan Province.Entities:
Keywords: China; ethnic disparity; maternal and child health services; utilization
Year: 2020 PMID: 33228187 PMCID: PMC7699543 DOI: 10.3390/ijerph17228610
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Ethnic diversity of Yunnan Province, China.
Sociodemographic characteristics of study subjects in Yunnan.
| Characteristics | Total N = 525 | Han N = 303 | Minorities N = 222 | |
|---|---|---|---|---|
| n (%) | n (%) | n (%) | ||
|
| ||||
| Age, years | 26 ± 4.6 | 26.1 ± 4.7 | 25.9 ± 4.6 | 0.48 |
| Husband’s Ethnicity | <0.001 | |||
| Han | 346 (65.9) | 278 (91.7) | 68 (30.6) | |
| Ethnic minority | 179 (34.1) | 25 (8.3) | 154 (69.4) | |
| Family size | 5.1 ± 1.4 | 4.9 ± 1.4 | 5.2 ± 1.4 | 0.04 |
| Parity | 0.49 | |||
| 1 | 297 (56.6) | 174 (57.4) | 123 (55.4) | |
| 2 | 194 (37.0) | 109 (36.0) | 85 (38.3) | |
| ≥3 | 34 (6.5) | 20 (6.6) | 14 (6.4) | |
|
| ||||
| Women’s Education | 0.001 | |||
| ≤6 years | 160 (30.5) | 78 (25.8) | 82 (36.9) | |
| 7–9 | 241 (45.9) | 138 (45.5) | 103 (46.4) | |
| ≥10 | 124 (23.6) | 87 (28.7) | 37 (16.7) | |
| Husband’s Education | <0.001 | |||
| ≤6 years | 112 (21.3) | 51 (16.8) | 61 (27.5) | |
| 7–9 | 283 (53.9) | 155 (51.2) | 128 (57.7) | |
| ≥10 | 130 (24.8) | 97 (32.0) | 33 (14.9) | |
| Fluent in Mandarin | <0.001 | |||
| None/Partly | 29 (5.5) | 2 (0.7) | 27 (12.2) | |
| Yes | 496 (94.5) | 301 (99.3) | 195 (87.8) | |
| Average annual per capita income, CNY 1 | 0.008 | |||
| <2800 | 235 (44.8) | 127 (41.9) | 119 (53.6) | |
| ≥2800 | 181 (34.5) | 176 (58.1) | 103 (46.4) | |
| Median | 2800 | 3000 | 2500 | |
| Health Insurance Status | 0.88 | |||
| Public (NCMS 2) | 515 (98.1) | 167 (98.0) | 218 (98.2) | |
| Private/None | 10 (1.9) | 136 (2.0) | 4 (1.8) | |
| Travel to nearest health facility | 0.01 | |||
| <30 min | 176 (33.5) | 94 (31.0) | 82 (36.9) | |
| 30–59 min | 199 (37.9) | 131 (43.2) | 68 (30.6) | |
| ≥60 min | 150 (28.6) | 78 (25.7) | 72 (32.4) | |
|
| ||||
| Perceived health status of mother | 0.57 | |||
| Poor/very poor | 18 (3.4) | 11 (3.7) | 7 (3.2) | |
| Fair | 125 (23.8) | 72 (23.8) | 53 (23.9) | |
| Good/Excellent | 382 (72.8) | 220 (72.6) | 162 (73.0) | |
| Have any previous obstetric problem | 0.60 | |||
| Yes | 48 (9.1) | 26 (8.6) | 22 (9.9) | |
| No | 477 (90.9) | 277 (91.4) | 200 (90.1) | |
| Perceived health status of child | 0.04 | |||
| Poor/Very Poor | 34 (6.5) | 17 (5.7) | 17 (7.7) | |
| Fair | 98 (18.7) | 54 (17.8) | 44 (19.8) | |
| Good/Excellent | 393 (74.8) | 232 (76.6) | 161 (72.5) | |
| Birth weight of Child | 3210 ± 526 | 3230 ± 32 | 3183 ± 33 | 0.31 |
1 CNY, Chinese yuan, 1 USD = 6.2 CNY; 2 NCMS, New rural cooperating medical scheme.
Comparison on utilization of maternal and child health care between Han and ethnic minority women.
| Type of MCH 1 Services | Total | Han | Minorities | X2 |
|
|---|---|---|---|---|---|
| N = 525 | N = 303 | N = 222 | |||
| n (%) | n (%) | n (%) | |||
| Antenatal care | |||||
| ANC 2 at least 1 visit | 504 (96.0) | 297 (98.0) | 207 (93.2) | 7.61 | <0.05 |
| ANC at least 5 visits | 318 (60.6) | 192 (63.4) | 126 (56.8) | 2.34 | 0.13 |
| Early ANC visit 3 | 390 (74.3) | 254 (83.8) | 136 (61.3) | 27.38 | <0.001 |
| ANC at least 5 visits with an early ANC visit | 272 (51.8) | 176 (58.1) | 96 (43.2) | 11.3 | <0.05 |
| Hospital births | |||||
| Hospital birth | 503 (95.8) | 292 (96.4) | 211 (95.0) | 0.56 | 0.45 |
| Caesarean Delivery | 124 (23.6) | 79 (26.1) | 45 (20.3) | 2.39 | 0.12 |
| Growth monitoring services for children within the first year of age | 231 (44.0) | 126 (41.6) | 105 (47.3) | 1.70 | 0.19 |
| Use at least 4 times | 231 (44.0) | 126 (41.6) | 105 (47.3) | 1.70 | 0.19 |
| Immunization | |||||
| Vaccinated all doses | 520 (99.0) | 300 (99.0) | 220 (99.1) | 0.01 | 0.91 |
| Vaccinated all doses timely | 441 (84.0) | 263 (86.8) | 178 (80.2) | 4.18 | <0.05 |
1 MCH, maternal and child care; 2 ANC, antenatal care; 3 Early ANC visit, having antenatal care in the first trimester.
Ethnic minority women compared to Han women odds ratio (OR) of inadequate MCH utilization and adjusted odds ratio (aOR) controlling for predisposing, enabling, and need factors.
| Type of MCH Services | Base Model, OR (95% CI) | Predisposing Factors Model, OR (95% CI) | Predisposing-Enabling Factors Model, OR (95% CI) | Predisposing-Enabling-Need Factors Model, OR (95% CI) |
|---|---|---|---|---|
| Antenatal care | ||||
| ANC at least 1 visit | 3.59 (1.37–9.40) * | 1.80 (0.51–6.31) | 1.62 (0.36–7.38) | 1.88 (0.42–8.51) |
| ANC at least 5 visits | 1.32 (0.93–1.88) | 0.96 (0.60–1.53) | 0.97 (0.59–1.60) | 1.01 (0.61–1.67) |
| Early ANC visit | 3.28 (2.00–4.75) * | 1.81 (1.05–3.15) * | 1.91 (1.07–3.41) * | 2.04 (1.13–3.66) * |
| ANC at least 5 visits with an early ANC visit | 1.82 (1.28–2.58) * | 1.27 (0.81–2.00) | 1.34 (0.83–2.17) | 1.42 (0.87–2.32) |
| Hospital birth | ||||
| Hospital birth | 1.38 (0.59–3.25) | 1.00 (0.32–3.14) | 0.90 (0.23–3.90) | 0.95 (0.25–3.66) |
| Caesarean Delivery | 0.72 (0.48–1.09) | 0.71 (0.42–1.23) | 0.76 (0.44–1.31) | 0.77 (0.44–1.33) |
| Growth monitoring services for children within the first year of age | ||||
| Use at least 4 times | 0.79 (0.56–1.12) | 0.70 (0.44–1.10) | 0.65 (0.41–1.05) | 0.65 (0.41–1.05) |
| Immunization services | ||||
| Vaccinated all doses | 0.91 (0.15–5.49) | 1.68 (0.21–13.6) | 2.47 (0.19–31.4) | 2.47 (0.20–31.0) |
| Vaccinated all doses timely | 1.63 (1.02–2.60) * | 1.73 (1.03–2.89) * | 1.79 (1.06–3.04) * | 1.99 (1.16–3.40) * |
Note: The Predisposing Factors Model controlled for husband ethnicity and family size. Predisposing-Enabling Factors Model controlled for husband ethnicity, family size, education, husband education, Mandarin language ability, income, and travel time. The Predisposing-Enabling-Need Factors Model controlled for husband ethnicity, family size, education, husband education, Mandarin language ability, income, travel time, and perceived child health, which were significant predictors. * p < 0.05.