Onehealth, an evidence-based decision-making software, is based on the United Nations' epidemiological reference modules to predict the effect of health services. Onehealth is a large database. The software is using activitybased costing, simulating investment costs of health system and changes of mortality in different coverage levels. By the cost of inputs/avoid deaths, it could quantify the cost of health services effectiveness and provide an intuitive basis for the rational allocation of health resources. This study introduces the relevant concepts, model structures and applications of Onehealth. We took the study of child nutrition interventions in Sudan for example and to present Onehealth tool's operating. As a new auxiliary and evidence-based decision-making software with scientific and rigorous theoretical approach, Onehealth has practical significance on the national or regional macro decision-making.
The outline of the "Healthy China 2030" states that medical institutions should serve as the primary purchasing agents for medicines and medical consumables, and joints purchasing should be encouraged. Since its establishment, the National Healthcare Security Administration has conducted five batches of national centralized procurement of high-value medical consumables, forming a nationwide collaborative framework involving national, provincial (including inter-provincial alliances), and local municipalities (including local municipal alliances). This study explains the current development status of the centralized procurement of medical consumables in representative countries, and explores the role of research evidence, such as health technology assessment (HTA), in the centralized procurement of medical consumables in China. Looking ahead, various forms of research evidence, such as HTA, will contribute to the dynamic adjustment of the catalogue for the collection and procurement of medical consumables, and the construction of a comprehensive evaluation index system for the clinical use of medical consumables, as well as the integration of evidence-based and artificial intelligence technology for the whole life-cycle management of medical consumables, will inject new impetus into the management of collection and procurement and innovation.
The main task of Campbell Collaboration is to collaborate with Cochrane Collaboration so as to produce high quality evidence for the social welfare, education, justice and criminal, international development policy and other social sciences. This article systematically introduces Campbell Collaboration, its origins, achievements and development, with the purpose of allowing more scholars understand evidence-based ideas and methods of social science, providing evidence-based methodology basis for China's social policy.
Evidence-based medicine advocates to support clinical decision-making with the best evidence, which is useful to objectively evaluate the clinical efficacy of traditional Chinese medicine and optimize clinical diagnosis and treatment. However, significant individualized characteristics identified from syndrome differentiation and treatment are incompatible with evidence-based clinical decision-making, which highlights population-level evidence, to some extent. In recent years, a number of new methods and technologies have been introduced into individualized clinical efficacy evaluation research of traditional Chinese medicine to assist managing and processing complex and multivariate information. These methods and technologies share similarities with evidence-based medicine, and are expected to link the clinical practice of traditional Chinese medicine with evidence-based clinical decision-making. They will guide the development of evidence-based clinical decision-making in traditional Chinese medicine.