| Literature DB >> 21073757 |
Shengbin Xiao1, Hong Yan, Yuan Shen, Shaonong Dang, Elina Hemminki, Duolao Wang, Qian Long, Jianmin Gao.
Abstract
BACKGROUND: Since 2003, the New Cooperative Medical Scheme (NCMS) has been implemented throughout rural China, usually covering delivery services in its benefit package. The objective of this study was to compare the difference of utilization of delivery services, expenditures, and local women's perceived affordability between women with and without reimbursement from NCMS.Entities:
Mesh:
Year: 2010 PMID: 21073757 PMCID: PMC3091584 DOI: 10.1186/1471-2458-10-695
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Demographic and socioeconomic characteristics of women in the two groups (number (%))
| Characteristic | NCMS (n = 747) | Non-NCMS (n = 866) | Total | p |
|---|---|---|---|---|
| Age(years) | ||||
| < 20 | 2(0.3) | 8(0.9) | 10(0.6) | < 0.001 |
| 20-24 | 364(48.7) | 282(32.6) | 646 (40.0) | |
| 25-29 | 241(32.3) | 323(37.3) | 564(35.0) | |
| 30-34 | 115(15.4) | 167(19.3) | 282 (17.5) | |
| 35+ | 25(3.3) | 86(9.9) | 111(6.9) | |
| Parity | ||||
| Primiparous | 535 (71.6) | 403(46.5) | 938 (58.2) | < 0.001 |
| Multiparous | 212 (28.4) | 463(53.5) | 675 (41.8) | |
| Education | ||||
| Illiteracy | 26(3.5) | 35(4.0) | 61 (3.8) | 0.255 |
| Primary school | 129(17.3) | 138(15.9) | 267 (16.6) | |
| Junior high school | 492(66.0) | 558(64.4) | 1050 (65.1) | |
| Senior high school or above | 99 (13.3) | 135 (15.6) | 234(14.6) | |
| Household income(RMB, yuan) | ||||
| ≤ 7000 | 83(11.9) | 109(13.7) | 192(12.9) | 0.005 |
| 7001-10000 | 198(28.4) | 257(32.4) | 455(30.5) | |
| 10001-20000 | 291(41.8) | 309(39.0) | 600(40.3) | |
| 20001+ | 125(17.9) | 118(14.9) | 243(16.3) |
Use of delivery services in the NCMS and Non-NCMS groups (number (%))
| NCMS (n = 747) | Non-NCMS (n = 827) | Total | |
|---|---|---|---|
| Place of delivery# | |||
| Township level hospital | 183(24.5) | 201 (24.3) | 384(24.4) |
| County level or above hospital | 564 (75.5) | 626(75.7) | 1190(75.6) |
| p-value* | 0.176 | ||
| Mode of delivery# | |||
| Vaginal delivery | 563(75.5) | 639(77.3) | 1202(76.4) |
| Caesarean section | 183 (24.5) | 188 (22.7) | 371(23.6) |
| p-value* | 0.053 | ||
| Days of hospitalization# | |||
| 0 | 31 (4.4) | 26 (3.6) | 57(4.0) |
| 1-3 | 199 (28.2) | 244 (33.5) | 443(30.9) |
| 4-6 | 211 (29.9) | 197 (27.0) | 408(28.4) |
| 7-9 | 191 (27.1) | 178 (24.4) | 369(25.7) |
| 10+ | 73 (10.4) | 84 (11.5) | 157(10.9) |
| p-value* | 0.255 | ||
* p-value was calculated from logistic regression model controlling for women's age, parity, education level, her household income, distance to health facility and county for the dependent variables "Place of delivery" and "Mode of delivery"; and calculated from ordinal regression model controlling for women's age, parity, education level, her household income, distance to health facility, county, place of delivery and mode of delivery for the dependent variable "Days of hospitalization".
#There were three independents, women's age, parity and household income, entering the model for the dependent variable "Place of delivery"; three independents, women's age, parity and county, entering the model for the dependent variable "Place of delivery"; and four independents, parity, county, place of delivery and mode of delivery entering the model for the dependent variable "Days of hospitalization".
Costs for facility-based delivery between the NCMS and Non-NCMS groups
| NCMS (n = 735) | Non-NCMS (n = 792) | Total | |
|---|---|---|---|
| Total payment# | |||
| mean ± SD | 1920.04 ± 1897.57 | 2390.94 ± 2569.26 | 2164.28 ± 2282.33 |
| Median | 1200 | 1500 | 1250 |
| p-value* | < 0.001 | ||
| Out-of-pocket payment# | |||
| mean ± SD | 1109.43 ± 1597.69 | 2403.44 ± 2592.02 | 1768.28 ± 2255.96 |
| median | 600 | 1500 | 1000 |
| p-value* | < 0.001 | ||
*p-value was calculated from linear regression model controlling for women's age, parity, education level, household income, place of delivery, mode of delivery, days of hospitalization and county. A logarithmic transformation for dependent variables was conducted when using linear regression model.
#Other than NCMS status, place of delivery, mode of delivery, days of hospitalization and county entered the two models of linear regression as independent variables.
Figure 1Women's perceived affordability to out-of-pocket payment between the NCMS and Non-NCMS groups.