| Literature DB >> 34158068 |
Menghan Shen1, Yushan Wu2, Xin Xiang3.
Abstract
BACKGROUND: Most existing research on rural-urban health inequalities focuses on disparities in service access and health outcomes based on region. This paper examines rural-urban disparities in maternal healthcare utilization and delivery modes based on household registration (hukou) status to understand the role of state institutions in producing healthcare disparities in China.Entities:
Keywords: China; Healthcare access; Maternal health; Rural-urban inequality
Year: 2021 PMID: 34158068 PMCID: PMC8218440 DOI: 10.1186/s12939-021-01485-4
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Basic Characteristics of City A, City B, and the Average City in Guangdong (2019)
| City A | City B | Guangdong Avg | |
|---|---|---|---|
| Residents | 4–5 million | 2–3 million | 5.5 million* |
| Annual population growth | 0–1 % | 6–8 % | 1.5 % |
| Percentage of residents living in urban neighborhoods | 60–70 % | 80–90 % | 71.4 % |
| Per-capita GDP (yuan) | 65,000–70,000 | 170,000–180,000 | 94,172 |
| Annual per capita GDP growth | 3–4 % | 6–7 % | 4.5 % |
Note: All data are based on the annual statistical reports of the prefecture and provincial governments in 2019. To ensure the anonymity of these two cities as required by our data use agreement, we give them pseudonyms and provide ranges rather than exact figures for their demographic and socioeconomic characteristics.
*This is the average population for the 21 prefecture-level cities in Guangdong.
Characteristics, Healthcare Service Utilization, and Delivery Modes of Mothers with Rural and Urban Hukou Status in City A and City B
| City A | City B | |||||||
|---|---|---|---|---|---|---|---|---|
| Rural | Urban | T-Value | Rural | Urban | T-Value | |||
| Age | 29.47 | 31.27 | 46.44 | < .001 | 29.88 | 31.97 | 38.77 | < .001 |
| (4.20) | (4.73) | (4.06) | (4.54) | |||||
| Rural | Urban | Chi-square | Rural | Urban | Chi-square | |||
| Reached minimum recommended number of prenatal care visits | 18,588 | 23,407 | 0.34 | .560 | 7,732 | 9,130 | 45.43 | < .001 |
| 76.84% | 76.63% | 62.08% | 68.18% | |||||
| Delivery at tertiary hospital | 3,705 | 6,051 | 186.11 | < .001 | 4,802 | 8,948 | 2100.00 | < .001 |
| 15.32% | 19.81% | 38.55% | 66.81% | |||||
| Delivery via Cesarean section | 8,994 | 12,275 | 51.33 | < .001 | 4,714 | 5,445 | 21.37 | < .001 |
| 37.18% | 40.19% | 37.85% | 40.66% | |||||
| Rural | Urban | Z-statistics | Rural | Urban | Z-statistics | |||
| Total medical cost | ||||||||
| Delivery via Cesarean section | 6197.37 | 6424.16 | 13.61 | < .001 | 8572.31 | 9571.51 | 20.37 | < .001 |
| (2035.09) | (2532.35) | (4179.88) | (3992.57) | |||||
| Natural delivery | 3372.83 | 3574.56 | 21.10 | < .001 | 4687.44 | 6055.16 | 33.66 | < .001 |
| (2857.45) | (2020.54) | (2331.49) | (2788.77) | |||||
| N | 24,189 | 30,544 | 12,456 | 13,393 | ||||
Note. We present means and standard deviations for age and conducted a t-test to compare means between the two groups. We present medians and standard deviations for spending and conducted a Mann-Whitney test to compare medians between the two groups. We present percentages and number of observations for whether the delivery took place at a tertiary hospital and whether a Cesarean section was performed at delivery and conducted χ2 tests to compare means between the two groups. We used mothers with urban hukou status as the reference group.
*p < .1, **p < .05, ***p < .001
Maternal Hukou Status and Age
| City A | City B | |
|---|---|---|
| Coef | ||
| Age | -1.912*** | -2.059*** |
| [-1.989, -1.835] | [-2.164, -1.955] | |
| R-squared | 0.07 | 0.07 |
| 54,733 | 25,849 | |
Note. We used an ordinary least squares model to analyze outcomes on age and log of total medical spending. We used logistic models to analyze the outcomes on whether the mother had obtained the minimum recommended number of prenatal care checkups, whether a Cesarean section was conducted, and whether the delivery took place at a tertiary hospital. For all of the regressions, we included maternal age and dummy variables for year and month. We used mothers with urban hukou status as the reference group. 95% confidence intervals are shown in brackets.
*p < .1, **p < .05, ***p < .001
Maternal Hukou Status and Birth-Related Outcomes
| City A | City B | |
|---|---|---|
| Odds Ratio | ||
| Reached minimum recommended number of prenatal care visits | 0.990 | 0.781*** |
| [0.950, 1.032] | [0.740, 0.825] | |
| 54,724 | 25,842 | |
| Delivery at tertiary hospital | 0.734*** | 0.336*** |
| [0.701, 0.769] | [0.319, 0.354] | |
| 54,729 | 25,839 | |
| Delivery via Cesarean section | 1.065*** | 1.127*** |
| [1.027, 1.104] | [1.069, 1.189] | |
| 54,729 | 25,844 | |
| Coef | ||
| Total medical cost | ||
| Cesarean section | -0.040*** | -0.094*** |
| [-0.046, -0.033] | [-0.120, -0.068] | |
| R-squared | 0.09 | 0.01 |
| 21,269 | 10,159 | |
| Natural delivery | -0.078*** | -0.199*** |
| [-0.085, -0.071] | [-0.221, -0.177] | |
| R-squared | 0.13 | 0.03 |
| 33,464 | 15,690 | |
Note. We used logistic models to analyze whether Cesarean section was conducted and whether the delivery took place at a tertiary hospital. We used an ordinary least squares model to analyze outcomes on the log of total medical spending. For all of the regressions, we included maternal age and year and month dummies as control variables. We used urban mothers as the reference group. 95% confidence intervals are shown in brackets.
*p < .1, **p < .05, *** p < .001