Objective To analyze the research status and development trend of evidence-based social sciences, and to explore the synergistic relationship among branches of various fields. Methods A comprehensive search for research related to evidence-based social sciences published between the establishment of the database and September 2022 was conducted on the Web of Science, China Science Citation Database (CSCD), and Chinese Social Sciences Citation Index (CSSCI). The VOSviewer software was used to analyze the author and keywords and to perform the visualization. Results A total of 6 969 papers were included, 195 of which were in Chinese. The first paper, published in 1995, was on evidence-based management. The number of papers published on evidence-based social science research presented a trend of increasing continuously. The country with the most papers published was the United States; the institution outside China with the most papers published was McMaster University; and the institution in China with the most papers published was Sichuan University. The analysis of keywords showed that evidence-based policy, evidence-based practice, evidence-based management, and evidence-based decision-making appeared more frequently; research questions focused on evidence-based health policy development, application of big data in the context of COVID-19, evidence of climate change-induced disease, and real world research. Conclusion All the fields of evidence-based social sciences are closely related to each other in terms of research content and methods, and it presents a multi-level and multi-field crossover with evidence-based medicine. However, evidence-based social sciences in China are still in their infancy. Therefore, it is necessary to improve the methodological system of evidence-based social sciences, enrich the research content of social sciences, speed up the filling of evidence gaps in various fields, and promote the improvement and sustainable development of evidence-based social sciences.
Objective The effectiveness of systematic identification, description and evaluation of dietary sugar reduction strategies through the evidence diagram method. Methods The CNKI, WanFang Data, VIP, CBM, PubMed, Embase, Web of Science and Cochrane Library database were electronically searched to collect systematic reviews/meta-analysis on the effectiveness of dietary sugar reduction strategies from inception to November 10, 2022, AMSTAR-2 was used to evaluate the methodological quality of the included studies. Microsoft Excel 2019 was used to design a data extraction table to extract relevant key information. Bubble charts were used to comprehensively present information such as study population, intervention type, number of primary studies included, and outcome measures. Results A total of 11 papers were included, all of which were systematic reviews/meta-analysis. The studies included ten interventions. Among them, the research ending of behavioral changes strategies, healthy diet, sugar tax, material substitution, sugar label, and community intervention showed obvious effectiveness, while social cognitive models, sugar reduction guidelines, health literacy, and knowledge attitude behavior models had not shown a clear and beneficial effect, indicating that the intervention effect on the theoretical basis was very small. Conclusion The current evidence diagram shows that the sugar reduction strategy is effective, but there are also intervention conclusions that the effectiveness of the conclusion is not clear and intervention blank. And based on the theoretical dietary sugar reduction strategy, the validity evidence is relatively scarce. In the future, high quality research will still be required.
In order to promote the harmonization of decision-making processes in public health and the harmonization of decision-making criteria, McMaster University in Canada and the Estonian Health Insurance Fund jointly published an article on an evidence ecosystem for health decision-making in 2022 with the support of the World Health Organization. Based on the proposed health decision-making evidence ecosystem model of the article, this paper interpreted the processes and elements in the model, aiming to provide reference for evidence-based public health decision making in China.