1.Reflections on Developing Health Standards Based on Evidence-based Concept
Renfeng SU ; Hui LIU ; Qianling SHI ; Xufei LUO ; Nan YANG ; Junxian ZHAO ; Qiannan TIAN ; Juanjuan ZHANG ; Liqun WU ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2024;15(2):435-441
National health standards involve all kinds of technical requirements formulated and numbered in accordance with the procedures and formats stipulated in the standardisation system for the implementation of national health and hygiene laws, regulations and policies, and the protection of human health. The establishment of health standards in China should align with our legal framework, including laws, regulations, departmental rules, and health and hygiene policies. During the development of these standards, a comprehensive approach is advocated, encompassing in-depth investigations, rigorous demonstrations, and extensive stakeholder engagement. However, the process of standard formulation may suffer from insufficient research evidence. The evidence-based concept emphasizes the significance of evidence. Therefore, integrating evidence-based concept into the process of developing health standards can enhance the quality and scientific basis of these standards. This article systematically elucidates the current status and development process of health standards in China, explores the necessity and feasibility of incorporating evidence-based concept into the development of these standards, analyzes the challenges and opportunities, and presents reflections and suggestions.
2.Factors associated with postpartum weight retention based on the generalized estimation equation in Kaifu Districtin Changsha.
Ling LI ; Yan YAN ; Tingting SHA ; Xiao GAO ; Qiong HE ; Cheng CHEN ; Gang CHENG ; Xialing WU ; Qianling TIAN ; Fan YANG ; Shiping LIU ; Guangyu ZENG ; Qiang YAN
Journal of Central South University(Medical Sciences) 2019;44(1):59-66
To investigate the current status of the postpartum weight retention (PPWR) in Kaifu District of Changsha, and explore the influential factors with PPWR based on the generalized estimating equation model.
Methods: A cluster sampling method was applied to select women who gave birth at the health service centers of 3 street communities in Kaifu District of Changsha during 2015. According to the inclusion and exclusion criteria, 783 cases were finally included in the study. Data on PPWR were collected prospectively by using the self-made questionnaire at 1, 3, 6 and 8 months after childbirth. Analysis were performed to investigate the associations between PPWR and its potential factors with generalized estimation equation model.
Results: The mean PPWR of women was gradually decreased with the increase of postpartum time, and 34.6% of them have returned to the pre-pregnancy weight in the 8 months postpartum. Our findings revealed that gestation weight gain (GWG), pre-pregnancy body mass index, feeding patterns, and delivery mode were significantly associated with maternal PPWR (P<0.05). In contrast, maternal age, educational level, per capita income of family, parity and postpartum depression were not contributed to PPWR (P>0.05).
Conclusion: GWG is one of the most important predictors for PPWR. The key to reducing PPWR is to control GWG systematically. Early targeted interventions and health education should be taken to prevent women from excessive PPWR at the first-year postpartum, in particular to the women who underwent cesarean deliveries and breastfed their infants. It is conducive to reduce the risks of overweight or obesity caused by PPWR.
Body Mass Index
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Female
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Gestational Weight Gain
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Humans
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Obesity
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Overweight
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Postpartum Period
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Pregnancy
3.STAR Guideline Terminology (I): Planning and Launching
Zhewei LI ; Qianling SHI ; Hui LIU ; Xufei LUO ; Zijun WANG ; Jinhui TIAN ; Long GE ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2025;16(1):216-223
To develop a guideline terminology system and promote its standardization, thereby enhancing medical staff's accurate understanding and correct application of guidelines. A systematic search was conducted for guideline development manuals and method ological literature (as of October 25, 2024). After screening, relevant terms from the guideline planning and launching stages were extracted and standardized. The term list and definitions were finalized through discussion and evaluation at a consensus conference. A total of 36 guideline manuals and 14 method ological articles were included, and 27 core terms were identified. The standardization of guideline terminology is essential for improving guideline quality, facilitating interdisciplinary communication, and enhancing other related aspects. It is recommended that efforts to advance the standardization and continuous updating of the terminology system should be prioritized in the future to support the high-quality development of guidelines.
4.Methodology of Scientific, Transparent and Applicable Rankings for Chinese Guidelines and Consensus Related Literature Published in the Medical Journals: ample Identification and Speciality Assignment
Hui LIU ; Nan YANG ; Qianling SHI ; Xufei LUO ; Hairong ZHANG ; Jinhui TIAN ; Yinghui JIN ; Yaolong CHEN ; METHODOLOGY AND TECHNOLOGY SPECIALISATION COMMITTEE OF THE STAR WORKING GROUP
Medical Journal of Peking Union Medical College Hospital 2024;15(2):429-434
With the development of the Scientific, Transparent and Applicable Rankings tool for clinical practice guidelines(STAR), the publication of evaluation and ranking for scientificity, transparency and applicability of Chinese guidelines and consensus published in the medical journals in 2021and 2022, as well as the publication of the STAR evaluation and ranking for some specialities, the STAR evaluation and ranking has received widespread attention in the medical community. In order to further enhance its scientificity and transparency, Methodology and Technology Specialization Committee of the STAR Working Group presents this article to introduce sample identification and speciality assignment in the evaluation and ranking process.