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China’s community-based strategy of universal preconception care in rural areas at a population level using a novel risk classification system for stratifying couples´ preconception health status

Overview of attention for article published in BMC Health Services Research, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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9 tweeters
facebook
1 Facebook page

Citations

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3 Dimensions

Readers on

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25 Mendeley
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Title
China’s community-based strategy of universal preconception care in rural areas at a population level using a novel risk classification system for stratifying couples´ preconception health status
Published in
BMC Health Services Research, December 2016
DOI 10.1186/s12913-016-1930-4
Pubmed ID
Authors

Qiongjie Zhou, Shikun Zhang, Qiaomei Wang, Haiping Shen, Weidong Tian, Jingqi Chen, Ganesh Acharya, Xiaotian Li

Abstract

Preconception care (PCC) is recommended for optimizing a woman's health prior to pregnancy to minimize the risk of adverse pregnancy and birth outcomes. We aimed to evaluate the impact of strategy and a novel risk classification model of China´s "National Preconception Health Care Project" (NPHCP) in identifying risk factors and stratifying couples' preconception health status. We performed a secondary analysis of data collected by NPHCP during April 2010 to December 2012 in 220 selected counties in China. All couples enrolled in the project accepted free preconception health examination, risk evaluation, health education and medical advice. Risk factors were categorized into five preconception risk classes based on their amenability to prevention and treatment: A-avoidable risk factors, B- benefiting from targeted medical intervention, C-controllable but requiring close monitoring and treatment during pregnancy, D-diagnosable prenatally but not modifiable preconceptionally, X-pregnancy not advisable. Information on each couple´s socio-demographic and health status was recorded and further analyzed. Among the 2,142,849 couples who were enrolled to this study, the majority (92.36%) were from rural areas with low education levels (89.2% women and 88.3% men had education below university level). A total of 1463266 (68.29%) couples had one or more preconception risk factors mainly of category A, B and C, among which 46.25% were women and 51.92% were men. Category A risk factors were more common among men compared with women (38.13% versus 11.24%; P = 0.000). This project provided new insights into preconception health of Chinese couples of reproductive age. More than half of the male partners planning to father a child, were exposed to risk factors during the preconception period, suggesting that an integrated approach to PCC including both women and men is justified. Stratification based on the new risk classification model demonstrated that a majority of the risk factors are avoidable, or preventable by medical intervention. Therefore, universal free PCC can be expected to improve pregnancy outcomes in rural China.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 32%
Unspecified 4 16%
Student > Postgraduate 3 12%
Student > Ph. D. Student 3 12%
Student > Bachelor 2 8%
Other 5 20%
Readers by discipline Count As %
Medicine and Dentistry 12 48%
Unspecified 4 16%
Nursing and Health Professions 3 12%
Social Sciences 3 12%
Agricultural and Biological Sciences 1 4%
Other 2 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 December 2016.
All research outputs
#2,153,234
of 10,677,937 outputs
Outputs from BMC Health Services Research
#922
of 3,551 outputs
Outputs of similar age
#79,978
of 316,936 outputs
Outputs of similar age from BMC Health Services Research
#26
of 122 outputs
Altmetric has tracked 10,677,937 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,551 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,936 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.