Evidence map›Paper›PMID 28031048›Full record

ArticleBMC health services research2016

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.

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

Abstract read
In one paragraph

Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
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  6. Association of maternal preconception blood pressure with preterm birth: a population-based cohort study.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
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  8. Review
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  11. Prevention of noncommunicable diseases by interventions in the preconception period: A FIGO position paper for action by healthcare practitioners.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2020
    Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Qiongjie ZhouObstetrics and Gynecology Hospital of Fudan University, 419 Fangxie Road, Shanghai, 200011, China.
Shikun ZhangThe National Health and Family Planning Commission, Beijing, China. yiping791129@163.com.
Qiaomei WangThe National Health and Family Planning Commission, Beijing, China.
Haiping ShenThe National Health and Family Planning Commission, Beijing, China.
Weidong TianSchool of Life Sciences, Institute of Biostatistics, Fudan University, Shanghai, China.
Jingqi ChenSchool of Life Sciences, Institute of Biostatistics, Fudan University, Shanghai, China.
Ganesh AcharyaWomen's Health and Perinatology Research Group, Department of Clinical Medicine, UiT - The Arctic University of Norway, Tromsø, Norway.
Xiaotian LiObstetrics and Gynecology Hospital of Fudan University, 419 Fangxie Road, Shanghai, 200011, China. xiaotianli555@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreconception 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.

methodsWe 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.

resultsAmong 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).

conclusionsThis 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.

Indexed as

Health Services AccessibilityPreconception CareChinaCounselingFemaleHealth StatusHumansPregnancyPregnancy OutcomeRisk AssessmentRisk FactorsRural HealthSocioeconomic FactorsCommunity-based carePopulation-based studyPreconception carePreconception healthReproductive healthRisk stratificationRural ChinaUniversal preconception care

Identifiers

PMID28031048
PMCPMC5192573

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.