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 hospital information structure, which is made up of various medical business systems, is suffering from the problems of the "information isolated island". Medical business systems in the hospital are mutually isomerous and difficult to become a whole. How to realize the internal barrier-free interaction of the patients effective medical information in the hospital and further to complete the area sharing of patients longitudinal diagnosis and treatment information has become a question having to be solved urgently in the process of healthcare informatization. Based on the HL7 standard, this paper refers to the IHE technical framework, expounds the overall structure of the interaction in the hospital internal and area sharing of medical information with the medical information exchange platform. The paper also gives the details of the whole process of the complete display of the discrete patient health information using Portal technology, which is saved in the business systems in different hospitals. It interacts internally through the information exchange platform and at last stores the information in the regional cinical data repository (CDR).
Non-directly affiliated hospitals are an important supplement to directly affiliated hospitals of medical colleges in China. Considering the problems of teaching consciousness, school running form and teachers construction in non-directly affiliated hospitals, this paper takes the medical personnel training of a non-directly affiliated hospital which is subordinate to Shenzhen Luohu Hospital Group as an example, in order to analyze the related exploration methods of non-directly affiliated hospitals under the development of hospital collectivization, and put forward a trinity training mode of general practitioners, which is “medical college-non-directly affiliated hospital-community health center”. This paper further discusses the challenges and possible solutions faced by non-directly affiliated hospitals in the new era.
Objective To explore the current status of electronic health (eHealth) literacy and online health information seeking behavior of maintenance hemodialysis (MHD) patients, and to explore the relationship between them. Methods MHD patients in the Hemodialysis Center of West China Hospital of Sichuan University between January and April 2022 were selected by convenient sampling method. The patients were investigated with general condition questionnaire, eHealth Literacy Scale and internet health information retrieval behavior questionnaire. According to the score of eHealth literacy, patients were divided into high eHealth literacy group and low eHealth literacy group, to compare the differences between the two groups, and analyze the factors that affected the internet health information retrieval behavior. Results A total of 194 MHD patients were included. Among them, 112 were male and 82 were female. The average score of eHealth literacy was 24.84±9.24. There were 136 cases in low eHealth literacy group, and the average score of eHealth literacy was 20.76±7.91. There were 58 cases in high eHealth literacy group, and the average score of eHealth literacy was 34.36±3.01. Multivariate analysis showed that eHealth literacy and education level were the influencing factors of health information search behavior (P<0.05). Conclusions The overall eHealth literacy of MHD patients is low, and the online health information search means is single and behaviorally inconsistent. It is necessary to improve the eHealth literacy of hemodialysis patients, and at the same time, provide various health information publicity and education for patients with different levels of eHealth literacy, which will help them better carry out disease management.
With the establishment and development of regional healthcare big data platforms, regional healthcare big data is playing an increasingly important role in health policy program evaluations. Regional healthcare big data is usually structured hierarchically. Traditional statistical models have limitations in analyzing hierarchical data, and multilevel models are powerful statistical analysis tools for processing hierarchical data. This method has frequently been used by healthcare researchers overseas, however, it lacks application in China. This paper aimed to introduce the multilevel model and several common application scenarios in medicine policy evaluations. We expected to provide a methodological framework for medicine policy evaluation using regional healthcare big data or hierarchical data.
ObjectiveTo explore the clinical effect of healthy education on functional constipation caused by unhealthy lifestyle, and to analyze the disadvantages affecting the curative effect. MethodsA total of 167 cases of functional constipation from February 2009 to February 2012 were included. All of the patients were followed up for one year. We collected clinical data of curative effect and influencing factors, determined the clinical value of healthy education, and analyzed the influence of different factors on the curative effect of healthy education. ResultsThe total curative effect after one-year follow-up was 84.4%. The curative effect in elderly patients was significantly higher than that in middle-aged ones (P<0.05). The curative effect in urban patients was remarkably higher than that in rural ones (P<0.05). And the curative effect of patients with college degree wass much higher than that in patients with education background of primary school or below (P<0.05). ConclusionHealthy education has important value on releasing and eliminating functional constipation caused by unhealthy lifestyle. And it needs individual education aimed at patients with different age, education degree, and domicile.
Health insurance system has been proved to be an effective way to promote the quality of health service in many countries. However, how to control health expenditure under health insurance system remains a problem to be resolved. Some developed countries like UK, Canada and Sweden linked their health technology assessment results with decision making and health insurance management, and made prominent achievements in both expenditure control and quality improvement. China is carrying out its health system reform and running a new health insurance project. Using the experiences of other countries is undoubtedly of great importance in developing and managing our health insurance system.
China is facing the peak of an ageing population, and there is an increase in demand for intelligent healthcare services for the elderly. The metaverse, as a new internet social communication space, has shown infinite potential for application. This paper focuses on the application of the metaverse in medicine in the intervention of cognitive decline in the elderly population. The problems in assessment and intervention of cognitive decline in the elderly group were analyzed. The basic data required to construct the metaverse in medicine was introduced. Moreover, it is demonstrated that the elderly users can conduct self-monitoring, experience immersive self-healing and health-care through the metaverse in medicine technology. Furthermore, we proposed that it is feasible that the metaverse in medicine has obvious advantages in prediction and diagnosis, prevention and rehabilitation, as well as assisting patients with cognitive decline. Risks for its application were pointed out as well. The metaverse in medicine technology solves the problem of non-face-to-face social communication for elderly users, which may help to reconstruct the social medical system and service mode for the elderly population.