At the Life Course Health for Women and Children Session of the 8th U.S.-China Health Summit, China and U.S. experts talks about securing women and children's health over life course.
SONG Li, Deputy Director-General,
Department of Maternal & Child Health, National Health Commission of China
"Progress of Women and Children’s Health Status in China"
With the development of medical technology and the improvement of the maternal and child health care system, China's maternal and child health care work has achieved positive progress and China has been evaluated by international organizations as one of the top10 countries with high performance in women and children’s health in the world. The maternal mortality rate dropped from 89/100,000 in 1990 to 19.6/100,000 in 2017, and the mother-to-child transmission rate of AIDS has dropped from the pre-intervention figure of 34.8% to 4.9%.
The course of maternal and child development in China is inseparable from the ever-improving maternal and child health system. At present, there are 3,098 maternal and child health care institutions in China, including 558 maternity hospitals and 96 children's hospitals. Under the guarantee of relevant laws and regulations, the constantly improving system ensures the provision of life course maternal and child health services from the beginning of life.
Whether it is the stage of individual preparation for pregnancy, or the stage of gestation, childbirth, and postpartum, continuous coordinated service is required. In this process, the integrated medical view of multi-disciplinary collaboration is especially needed.
How to integrate resources to provide services? It needs multi-disciplinary support and humanistic care with emotion and warmth.
ZHU Jun, Director, the National Maternal and Child Health Monitoring Office
"The Role of National Monitoring Information System in Women and Children’s Health in China"
Data is a kind of resource and it is non-renewable. The maternal and child information system is the most valuable system and is a unique asset in maternal and child health work.
The data cannot become information if it is not sorted; information cannot become knowledge if it is not analyzed; and knowledge cannot become power if it is not applied. Through the transition from death event monitoring to health event detection, from outcome monitoring to process monitoring, and from single monitoring tools to multiple monitoring, we hope to build an innovative, shared and sustainable national maternal and child health monitoring platform, and at the same time find out the causes and events of controllability and propose intervention measures to make the discovery of major diseases advance.
·Shanghai's achievements in the exploration of maternal and child practice safety are inseparable from scientific planning. From the network to the system and to the public health, a series of projects have been planned, and integrated medicine is involved in all aspects. It’s proposed that life course should be completed, refined and efficient and the concept satisfied by all walks of life “Si Hua Yi Man” has been put forward as well. Specifically, public health projects are used as a starting point to improve the full-coverage maternal catch-all and critical care networks.
In the full-coverage maternal catch-all network, floating population childbirth points are set in 10 districts to ensure the safety of hospital childbirth for the floating population; it is necessary to improve the community service center, detect the pregnancy of the migrant population, and grasp the pregnancy information to implement the health care. In the critical care network, it is necessary to report in the first place; once the maternal high risk occurs, a first-level report is needed, and the line should be available all day long; if the certain hospital and jurisdiction area cannot solve the problem, then the whole city should try to help.
Jason Block, Professor,
Department of Population Medicine, Harvard Medical School & Harvard Pilgrim Health Care Institute
"Calorie Labeling in Restaurants and Food Stores to address Childhood Obesity in U.S."
The obesity problem in the United States is a very serious problem. Here is the data to see: the 2016 U.S. childhood obesity data shows that the number of obese teenagers between 12 and 19 is more than 20%. As for adult obesity, the problem is even more serious. In some areas of the United States, the obesity rate exceeds 35%.
We have established a network of people to assess obesity in the United States, using this system to provide more accurate data, such as monitoring the consumption of sugary drinks. This system provides opportunities for observation and epidemiological investigations, becoming the basis for decision-making based on local conditions. At present, this network is under continuous improvement.
LIU Xiaowei, Professor,
Member of Heyihua Fetal Heart Disease Medical Research and Consultation Team, Anzhen Hospital, Beijing
"Innovative Solution to Detect and Diagnose Fetal Congenital Heart Disease"
Congenital heart disease has a three-level prevention and control system; prenatal testing is the second level, and after birth is the third level. Another part of the problem lies in the mother. At the moment, the prevention and control of birth defects is insufficient, and the detection rate is low, which is related to the huge shortage of professionals. In addition, there is a lack of export management after the prenatal diagnosis. Even if the heart disease is detected, people do not know where to get a good treatment.
Based on the above situations, we have explored the prevention and control solutions for fetal heart disease birth defects. The project focuses on the intelligent diagnosis of images to solve the problems of resource mismatch, hereditary detection and diagnosis, and expert decision-making system.
In the aspect of image intelligent diagnosis, artificial intelligence diagnosis is used to perform early fetal screening, which is divided into intelligent screening, intelligent diagnosis, two-way referral function, and expert-assisting decision-making system. Currently, intelligent screening is mainly used in private hospitals and prefecture-level areas. Compared with ultrasound doctors, artificial intelligence screening has an accuracy rate of 84%.