ObjectiveTo systematically review the research issues related to evidence quality grading methods for public health decision making. MethodsPubMed, Web of Science, CNKI, WanFang Data, CBM and VIP databases were electronically searched to collect studies related to the application of evidence quality grading methods for public health decision making from inception to December 2022. The questions were constructed according to the SPIDER model. The quality of the included literature was evaluated by using the CASP checklist, and a three-level interpretation analysis of the questions on the application of quality rating methods for public health decision making was conducted using the thematic synthesis method to establish a pool of question entries. ResultsA total of 14 papers were included, covering seven countries. GRADE was the commonly used method for grading the quality of evidence. CASP evaluation results showed eight high quality studies, four medium quality studies and two low quality studies. The thematic synthesis method summarized 13 question entries in 7 categories. ConclusionThe existing methodology for grading the quality of evidence for public health decision making suffers from the diversity of evidence sources and the underestimation of the level of evidence from complex intervention studies.
Coronavirus disease 2019 epidemic is a serious and infectious public health event that causes physical damage and may also have an impact on mental health. West China Hospital of Sichuan University combines the internet hospital platform with the traditional telephone model, establishes a new coronavirus disease 2019 intervention integration platform, and builds a new “four-in-one” medical service system, which contains epidemic consultation, psychological consultation, self-evaluation and home prevention and control. It has established a way for the public to communicate with professional, reduced the spread of coronavirus disease 2019 in space, and effectively carried out psychological decompression and comfort work, disseminated the knowledge of fighting coronavirus disease 2019, and provided medical advice. This article mainly introduces the out-of-hospital psychological intervention model of West China Hospital of Sichuan University during the coronavirus disease 2019 epidemic, and aims to provide a reference for exploring the psychological intervention methods for major public health emergencies.
Objective To investigate the accurateness and rapidity of information on SARS , and to provide evidence for decision-making in the construction of the public health information system of China, including information collection, identification and release. Method SARS related information was systematically collected, from ① databases including Medline, CBMdisc and Cochrane Library; ② official websites including WHO, MOH and CDC; ③ non-governmental websites including Sina, Sohu, Yahoo; ④ eleven Chinese Journals and ⑤ gray literatures, These evidence were graded based on their scientific sense, and were analyzed according to their rapidity of release. Results A total of 11 955 pieces of related information were collected. Non-governmental websites were the agents that released the largest number of information (46.7%). Regarding the scientific sense of evidence, hand searched journal was at the top of the evidence pyramid, and followed by Medline, gray literature, CBMdisc, official and non-governmental websites. Regarding the rapidity, official website achieved the most rapid information release, which was followed by nongovernmental website, journal, and database. 71.8 percent of information from official websites was in Chinese, while 65 percent was from database. Conclusions The SARS information from China has contributed enormously to the global information release. Although the amount and rapidity of the information were satisfied, management and deep processing of information should be improved.
Objective To assess the methodology and report quality of Chinese systematic reviews/ meta-analyses on prevention and control of six major diseases in public health. Methods Chinese literatures of systematic reviews/ meta-analyses on prevention and control of six major diseases, including cancer, cerebrovascular disease, cardiovascular disease, hepatitis B, tuberculosis, and AIDS were searched in CQVIP, WANFANG Database, CNKI, and the Chinese Biomedical Literature Database from the establishment date to June, 2010. Two researchers independently screened and evaluated the data, disagreements were resolved by discussion. Methodology quality and report quality of included reviews were evaluated by OQAQ scale and PRISMA scale. Result Of the 139 literatures included in the analysis, 32 were systematic reviews while 107 were meta-analyses. The highest and lowest scores of methodology quality were 6.5 and 1.5 respectively. The average score was 4.66±0.92 and no literature could meet all nine items. The main problems were insufficient in literatures resource, bias in data selection, lack of rigorous quality assessment for included original studies and so on. The average score of report quality were 15.28±2.91 and the main problems were incomplete report in abstract, data collection and analysis methods, bias control, conclusion and so on. Conclusion Both of the methodology quality and report quality of included literatures have problems in different levels, which require to be further improved.
The rapid development of medical informatization and continuous innovation of artificial intelligence have made it possible to analyze data and predict prognosis through making full use of data analysis or data mining methods in medical field, which can provide not only more accurate basis of diagnosis and treatment for patients but also important decision-making reference for the government and hospitals to allocate medical resources reasonably. As a classical model for processing time series data in machine learning, long short-term memory network can break through some limitations of statistics to process large and complex medical data. The current applications of long short-term memory networks in medical and biomedical fields can be mainly summarized as seven themes, including natural language processing, biomedical information, signals, motion, clinical medical records, hospital management, and public health and policy.
Traditional Chinese medicine has been used for the treatment of many diseases including acute infections often associated with public health emergencies for thousands of years. However, clinical evidence supporting the use of these treatments is insufficient, and the mechanism for using Chinese medicine therapy in the public health setting has not been fully established. In this report, the Evidence-based Traditional and Integrative Chinese medicine Responding to Public Health Emergencies Working Group proposed five recommendations to facilitate the inclusion of Chinese medicine as part of our responses to public health emergencies. It is expected that the Working Group’s proposals may promote the investigation and practice of Chinese Medicine in public health settings.
In order to help Chinese guideline developers, clinicians, health policy makers and other relevant researchers fully understand and make appropriate use of the World Health Organization (WHO) guidelines, Chinese GRADE Center and Guidelines Review Committee of WHO (WHO-GRC) have written a series of papers about development methods, review principles and the structure and content of WHO guidelines. This is the first paper of this series introducing the basic principles and methods of development based on the WHO Handbook of Guideline Development and WHO Handbook of Guideline Development 2nd edition. We aim to provide guidance for Chinese guideline developers, and promote the development of high-quality guideline.
Objective To summarize and categorize the epidemiological evaluation indicators of disease burden, and to explore and analyze the research gaps in the existing evaluation indicators of disease burden. Methods The CNKI, WanFang Data, VIP, CBM, PubMed, Embase, Web of Science and Cochrane Library databases were searched by computer to obtain qualitative studies on evaluation indicators of disease burden. The search time limit was from the establishment of the database to October 2023. CASP was used to evaluate the methodological quality of the included studies, and thematic analysis was used to summarize the evaluation indicators of disease burden by NVivo 12 software. Results A total of 19 studies were included, of which 10 studies were of high quality and 9 studies were of medium quality. The evaluation indicators of disease burden were summarized into two three-level core themes: positive indicators and negative indicators. Five second-level analytic themes were used: disease indicators, life loss indicators, life expectancy indicators, cause removal indicators and health status indicators. Twenty-nine level-1 descriptive themes. Conclusion The evaluation indicators of disease burden have their respective scopes of application and limitations. It is necessary to continue strengthening the construction of a comprehensive evaluation index system for disease burden, so that it is comparable and reliable, can adapt to local calculation weights, and covers both family burden and social burden.