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Predictors for neonatal death in the rural areas of Shaanxi Province of Northwestern China: a cross-sectional study

Overview of attention for article published in BMC Public Health, April 2015
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Title
Predictors for neonatal death in the rural areas of Shaanxi Province of Northwestern China: a cross-sectional study
Published in
BMC Public Health, April 2015
DOI 10.1186/s12889-015-1738-x
Pubmed ID
Authors

Chao Li, Hong Yan, Lingxia Zeng, Michael J Dibley, Duolao Wang

Abstract

Almost all (99%) neonatal deaths arise in low-income and middle-income countries. Approximately 450 new-born children die every hour, which is mainly from preventable causes. There has been increased recognition of the need for these countries to implement public health interventions that specifically target neonatal deaths. The purpose of this paper is to identify the predictors of neonatal death in Type 4 rural (poorest) counties in Shaanxi Province of northwestern China. A cross-sectional study was conducted in Shaanxi Province, China. A single-stage survey design was identified to estimate standard errors. Because of concern about the complex sample design, the data were analysed using multivariate logistic regression analysis. Socioeconomic and maternal health service utilization factors were added into the model. During the study period, a total of 4750 women who delivered in the past three years were randomly selected for interview in the five counties. There were 4880 live births and 54 neonatal deaths identified. In the multiple logistic regression, the odds of neonatal death was significantly higher for multiparous women (OR = 2.77; 95% CI: 1.34, 5.70) and women who did not receive antennal health care in the first trimester of pregnancy (OR = 2.49; 95% CI: 1.41, 4.40). Women who gave birth in a county-level hospital (OR = 0.18; 95% CI: 0.04, 0.86) and had junior high school or higher education level (OR = 0.20; 95% CI: 0.05, 0.84) were significantly protected from neonatal death. Public health interventions directed at reducing neonatal death should address the socioeconomic factors and maternal health service utilization, which significantly influence neonatal mortality in rural China. Multipara, low educational level of the women, availability of prenatal visits in the first trimester of pregnancy and hospital delivery should be considered when planning the interventions to reduce the neonatal mortality in rural areas.

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Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 17%
Student > Ph. D. Student 11 12%
Researcher 9 10%
Student > Postgraduate 7 8%
Student > Bachelor 6 6%
Other 16 17%
Unknown 28 30%
Readers by discipline Count As %
Medicine and Dentistry 20 22%
Nursing and Health Professions 14 15%
Social Sciences 8 9%
Economics, Econometrics and Finance 5 5%
Psychology 4 4%
Other 11 12%
Unknown 31 33%