Institute of Health and Society, University of Oslo, Oslo, Norway.
Int J Womens Health. 2012;4:295-303. doi: 10.2147/IJWH.S32409. Epub 2012 Jul 5.
The quality of routine data, such as the maternal mortality ratio (MMR), infant mortality rate (IMR), and under-five mortality rate (U5MR) is often questioned. The objective of this study was to compare routine and survey data on key maternal and child health indicators, including the MMR, IMR, and U5MR in the Guizhou Province of China.
In 2008, an urban area and a rural area in the Guizhou Province were randomly selected. All households in the selected areas were included and, of the total 5466 households therein, 5459 were visited. The response rate was 99.9%. Survey data were collected from mothers (46.0%), fathers (32.5%), grandmothers (11.1%), grandfathers (9.0%), and other caregivers (1.4%). Data from routine records of the health bureaus in selected areas were reviewed for the same indicators. The Chi-square test was used to study the differences between routine data and survey data.
We found the differences between the routine and survey data live births in the survey data (68) was fewer than in the routine data (94) in the rural area, while live births in the survey data (106) was larger than in the routine data (96) in the urban area. The IMR was higher in the survey data (51.7 per thousand) as compared with routine data (31.6 per thousand). The U5MR was higher (69.0 per thousand) in the survey data than in the routine data (42.1 per thousand). Indicators related to the coverage of maternal and child health interventions were over-reported in routine data.
Small differences were observed between routine data and survey data in Guizhou, one of the poorest areas of China. The quality of routine data in urban areas was better than in rural areas.
常规数据（如孕产妇死亡率、婴儿死亡率和 5 岁以下儿童死亡率）的质量经常受到质疑。本研究旨在比较中国贵州省常规数据和调查数据中关键母婴健康指标，包括孕产妇死亡率、婴儿死亡率和 5 岁以下儿童死亡率。
2008 年，在贵州省随机选择了一个城区和一个农村地区。在所选择的地区内，所有家庭都被包括在内，在总共 5466 户家庭中，有 5459 户家庭被访问，应答率为 99.9%。调查数据来自母亲（46.0%）、父亲（32.5%）、祖母（11.1%）、祖父（9.0%）和其他照顾者（1.4%）。还对所选地区卫生局的常规记录中的相同指标进行了数据审查。使用卡方检验研究常规数据和调查数据之间的差异。
我们发现常规数据和调查数据之间存在差异，农村地区的调查数据中的活产数（68）少于常规数据（94），而城区的调查数据中的活产数（106）多于常规数据（96）。调查数据中的婴儿死亡率（每千例 51.7）高于常规数据（每千例 31.6）。调查数据中的 5 岁以下儿童死亡率（每千例 69.0）高于常规数据（每千例 42.1）。常规数据中母婴健康干预措施的覆盖率指标被高估。
在中国最贫困的地区之一贵州，常规数据和调查数据之间存在微小差异。城区常规数据的质量优于农村地区。
