ObjectivesTo initially construct a scientific, reasonable and precision medicine technology value judgment framework suitable for China’s national conditions based on expert consultation method, so as to provide scientific value judgment system support for China's medical insurance decision-making.MethodsThe preliminary evaluation indicator system for precision medicine technology value was established by using literature analysis and expert consultation method, and the direct weighting method was used to determine the indicators weight.ResultsAfter two rounds of expert consultation, an indicator system suitable for the value judgment of precision medicine technology in China was constructed, including 5 primary indicators (health needs, health effects, economics, innovation and suitability) and 14 secondary indicators. Each indicator was weighted according to importance.ConclusionsA set of precision medicine value judgment indicator system suitable for China has been initially established, which lays a certain foundation for further measurement research of the indicator system and provides a scientific basis for medical insurance decision-making.
Objective To estimate the cost of continuous renal replacement therapy (CRRT) in public hospitals and analyze the main influencing factors of the cost, in order to provide evidence for the optimal application of CRRT technology. Methods In March 2021, activity-based costing was used to estimate and analyze the cost of CRRT, the data of which were collected from 5 hospitals in Jiangsu, Zhejiang, Henan, Sichuan and Xinjiang, and single factor sensitivity analysis was used to find the main influencing factors of the cost. Results The hourly treatment costs of CRRT in the 5 hospitals ranged from 265.30 to 474.44 yuan, with an average of 376.81 yuan. The costs of manpower and filters accounted for the top two largest proportions, the manpower cost of continuous veno-venous hemofiltration and continuous veno-venous hemodiafiltration accounted for 22.90% and 21.51%, respectively, and the filters cost of the two types of CRRT accounted for 15.07% and 17.73%, respectively. The unit cost and cost composition varied greatly between hospitals. There were four factors affecting the unit cost, namely clinical operation, efficiency, price and patient, among which clinical operation difference was the primary factor leading to cost difference. Conclusions The application cost of CRRT technology varies greatly among hospitals, and there are many factors affecting the cost. Public hospitals face great pressure in cost control. It is necessary to strengthen the internal control operation management of public hospitals, establish CRRT clinical operation standards, and improve the quality of medical services in public hospitals.
Objective To understand the status quo of depression and anxiety emotion in perioperative patients with thoracic neoplasms under the concept of enhanced recovery aftersurgery. Methods Huaxi emotional-distress index scale (HEI) was adopted to investigate the mental status of 195 patients with thoracic neoplasms in Department of Thoracic Surgery, West China Hospital, and the nursing outpatients between September and November in 2016. There were 118 males and 77 females at age of 17–80 (55.72±12.66) years. Results There was significant difference in mental health level between the preoperative patients and the postoperative patients (3.70±3.41vs. 11.01±9.78,P<0.001). The incidence of depression and anxiety emotion in the postoperative patients was significantly higher than that in the preoperative patients (50.00%vs. 9.60%, P<0.001). Besides, there was significant difference of depression and anxiety degree between the preoperative patients and postoperative patients (P<0.001). Moderate to severe depression and anxiety were mostly found in the postoperative patients while mild to moderate depression and anxiety in the preoperative patients. Conclusion Patients with thoracic neoplasms have much emotional obstacle in perioperative period. The incidence and severity degree of depression and anxiety emotion in postoperative patients are higher than those in preoperative patients.
The PRISMA aims to enhance the transparency and reporting quality of systematic reviews. PRISMA 2020 is an update version of PRISMA 2009, which was published in BMJ in March, 2021. This article compared the PRISMA 2020 and PRISMA 2009, interpreted PRISMA 2020 with representative examples, aiming to help Chinese scholars better understand and apply this reporting guideline, thus to improve the reporting quality of systematic reviews.
ObjectiveTo investigate the construction strategy of a knowledge base for health technology assessment (HTA) indicators based on a multi-granularity knowledge representation model, in order to meet the users' diverse demands for HTA knowledge services. MethodsFirstly, we constructed a multi-granularity HTA indicator knowledge representation model based on systematically analyzing the content and structure of the HTA indicator system in literature. Secondly, we extracted multi-granularity HTA indicator knowledge from literatures and conduct subject indexing in a human-computer collaborative way. Finally, based on the HTA knowledge service requirements, a prototype of the HTA indicator knowledge base-HTA Indicators was designed and developed. ResultsA multi-granularity HTA indicator knowledge representation model was constructed, covering 5 core knowledge units(indicator systems, indicator items, formulas, measurement variables, and subjects), 20 types of attributes, and 12 types of relationships. This model represents the intrinsic characteristics and connections between multi-granularity indicator knowledge units. Knowledge extraction and subject indexing of multi-grain HTA indicators were conducted based on 227 HTA indicator documents, forming instance data. Finally, a prototype of the HTA indicator knowledge base, named HTA Indicators, was developed.HTA Indicators provides services such as multi-granularity HTA indicator knowledge retrieval, navigation, and linking. ConclusionThe construction strategy of the HTA indicator knowledge base based on the multi-granularity knowledge representation model is feasible. The indicator knowledge base can achieve multi-dimensional semantic organization of indicator knowledge, provide multi-level and multi-dimensional indicator knowledge retrieval and discovery services, and meet the users' demand for precise HTA knowledge. In the future, we will explore the use of cutting-edge technologies such as large language models to achieve the automated construction of large-scale HTA knowledge, thereby enhancing the efficiency and intelligence level of knowledge base construction.