| Literature DB >> 23460789 |
Hua You1, Jianhua Chen, Lennart Bogg, Yuan Wu, Shengnan Duan, Chiyu Ye, Xiaofang Liu, Hai Yu, Vinod Diwan, Hengjin Dong.
Abstract
BACKGROUND: Postpartum visits (PPVs) have been advocated as a way to improve health outcomes for mothers and their infants, but the rate of PPVs is still low in rural China. This study aims to investigate the utilization of PPVs and to explore the factors associated with PPVs in rural China. Parity is the most concerned factor in this study.Entities:
Mesh:
Year: 2013 PMID: 23460789 PMCID: PMC3584099 DOI: 10.1371/journal.pone.0055955
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of the study subjects and their postpartum visits.
| Characteristics | Frequency (%) | PPV use | Standard PPV use | |||||||
| Yes (%) | No (%) | ?2 |
| Yes (%) | No (%) | ?2 |
| |||
| Education (n = 223) | ||||||||||
| >Secondary level | 96(43.0) | 77(80.2) | 19(19.8) | 20(26.0) | 57(74.0) | |||||
| ≤Secondary level | 127(57.0) | 76(59.8) | 51(40.2) | 10.53 | 0.001 | 18(23.7) | 58(76.3) | 0.11 | 0.74 | |
| Employment (n = 223) | ||||||||||
| Yes | 195(87.4) | 134(68.7) | 61(31.3) | 31(23.1) | 103(76.9) | |||||
| No | 28(12.6) | 19(67.9) | 9 (32.1) | 0.01 | 0.93 | 7(36.8) | 12(63.2) | 1.68 | 0.20 | |
| Annual household income (n = 223) | ||||||||||
| >50000 Yuan | 110(49.3) | 83(75.5) | 27(24.5) | 22(26.5) | 61(73.5) | |||||
| ≤50000 Yuan | 113(50.7) | 70(61.9) | 43(38.1) | 4.72 | 0.03 | 16(22.9) | 54(77.1) | 0.27 | 0.60 | |
| Delivery method (n = 217) | ||||||||||
| Vaginal | 114(52.5) | 82(71.9) | 32(28.1) | 18(22.0) | 64(78.0) | |||||
| Caesarean | 103(47.5) | 71(68.9) | 32(31.1) | 0.23 | 0.63 | 20(28.2) | 51(71.8) | 0.79 | 0.38 | |
| Parity (n = 222) | ||||||||||
| Primiparous | 173(77.9) | 130(75.1) | 43(24.9) | 32(24.6) | 98(75.4) | |||||
| Multiparous | 49(22.1) | 22(44.9) | 27(55.1) | 16.18 | <0.001 | 6(27.3) | 16(72.7) | 0.07 | 0.79 | |
| Premature labor (n = 209) | ||||||||||
| Yes | 33(15.8) | 26(78.8) | 7(21.2) | 5(19.2) | 21(80.8) | |||||
| No | 176(84.2) | 120(68.2) | 56(31.8) | 1.49 | 0.22 | 29(24.2) | 91(75.8) | 0.29 | 0.59 | |
| Sex of neonates (n = 217) | ||||||||||
| Male | 113(52.1) | 82(72.6) | 31(27.4) | 19(23.2) | 63(76.8) | |||||
| Female | 104(47.9) | 71(68.3) | 33(31.7) | 0.48 | 0.49 | 19(26.8) | 52(73.2) | 0.26 | 0.61 | |
| Birth weight of neonates (n = 216) | ||||||||||
| <2500 g | 11(5.1) | 8(72.7) | 3(27.3) | 4(50.0) | 4(50.0) | |||||
| ≥2500 g | 205(94.9) | 144(70.2) | 61(29.8) | 0.03 | 0.861 | 34(23.6) | 110(76.4) | 2.45 | 0.121 | |
| Compensation for delivery fee expenses (n = 222) | ||||||||||
| No | 175(78.8) | 115(65.7) | 60(34.3) | 23(20.0) | 92(80.0) | |||||
| Yes | 47(21.2) | 38(80.9) | 9(19.1) | 3.96 | 0.05 | 15(39.5) | 23(60.5) | 5.80 | 0.02 | |
It was results of Likelihood ratio tests.
Characteristics of women with different parity.
| Characteristics | Primiparous | Multiparous | ? |
|
| Frequency(%) | Frequency(%) | |||
| Age | 27.9±3.7 | 34.1±5.1 | 7.92 | <0.001 |
| Annual household income | 55000(40000–80000) | 50000(30000–95000) | 0.08 | 0.94 |
| Education | ||||
| >Secondary level | 84(48.6) | 11(22.4) | ||
| ≤Secondary level | 89(51.4) | 38(77.6) | 10.63 | 0.001 |
| Employment | ||||
| Yes | 150(86.7) | 44(89.8) | ||
| No | 23(13.3) | 5(10.2) | 0.33 | 0.57 |
| Delivery method | ||||
| Vaginal | 87(51.8) | 26(54.2) | ||
| Caesarean | 81(48.2) | 22(45.8) | 0.09 | 0.77 |
| Premature labor | ||||
| Yes | 25(15.5) | 8(17.0) | ||
| No | 136(84.5) | 39(83.0) | 0.06 | 0.81 |
| Sex of neonates | ||||
| Male | 92(54.8) | 21(43.8) | ||
| Female | 76(45.2) | 27(56.2) | 1.82 | 0.18 |
| Birth weight of neonates | ||||
| <2500 g | 8(4.8) | 3(6.4) | ||
| ≥2500 g | 160(95.2) | 44(93.6) | 0.20 | 0.66 |
| Compensation for delivery fee expenses | ||||
| No | 135(78.5) | 39(79.6) | ||
| Yes | 37(21.5) | 10(20.4) | 0.03 | 0.87 |
the results for age were mean and standard deviation, a t-test was used to compare two means.
the results for household income were median and quartile range, a t-test was used to compare logarithms of two medians.
Difference of PPVs between primiparous and multiparous women.
| Parity | Number of PPVs (times) | ?2 |
| ||
| 0 | 1∼2 | 3 or more | |||
| Frequency(%) | Frequency(%) | Frequency(%) | |||
|
| 43(24.9) | 98(56.6) | 32(18.5) | ||
|
| 27(55.1) | 16(32.7) | 6(12.2) | 16.23 | <0.001 |
|
| 70(31.4) | 114(51.6) | 38(17.0) | ||
n = 222 after exclusion of missing data.
Factors associated with nonuse and standard use of postpartum visits (multivariate analysis).
| Characteristics | Nonuse of PPVs | Standard use of PPVs | ||
| OR (95%CI) |
| OR (95%CI) |
| |
| Education | ||||
| >Secondary level | 1 | 1 | ||
| ≤Secondary level | 1.81(0.89–3.70) | 0.10 | 1.56(0.64–3.82) | 0.33 |
| Employment | ||||
| Yes | 1 | 1 | ||
| No | 1.32(0.50–3.46) | 0.57 | 1.57(0.49–5.02) | 0.45 |
| Annual household income | ||||
| >50000 Yuan | 1 | 1 | ||
| ≤50000 Yuan | 1.50(0.75–2.98) | 0.25 | 0.72(0.30–1.74) | 0.47 |
| Delivery method | ||||
| Vaginal | 1 | 1 | ||
| Caesarean | 1.31(0.69–2.50) | 0.41 | 1.50(0.65–3.45) | 0.34 |
| Parity | ||||
| Primiparous | 1 | 1 | ||
| Multiparous | 3.69(1.78–7.65) | <0.001 | 1.14(0.36–3.66) | 0.82 |
| Premature labor | ||||
| Yes | 1 | 1 | ||
| No | 2.04(0.76–5.49) | 0.16 | 1.84(0.52–6.60) | 0.35 |
| Sex of neonates | ||||
| Male | 1 | 1 | ||
| Female | 1.17(0.62–2.22) | 0.62 | 1.23(0.53–2.86) | 0.63 |
| Birth weight of neonates | ||||
| <2500 g | 1 | 1 | ||
| ≥2500 g | 1.04(0.23–4.67) | 0.96 | 0.22(0.04–1.16) | 0.07 |
| Compensation for delivery fee expenses | ||||
| No | 1 | 1 | ||
| Yes | 0.63(0.25–1.57) | 0.32 | 3.15(1.23–8.09) | 0.02 |
n = 207 after exclusion of missing data for all covariates in multivariate analysis.
n = 144 after exclusion of missing data for all covariates in multivariate analysis.