Objective To investigate evidence retrieval, appraisal, and reevaluation during evidence-based clinical decision making in China. Also, to analyze the related factors, so as to find the problems in the course of evidence-based clinical decision making and put forward corresponding solutions. Methods We searched Chinese Biomedical Literature Disc (CBM) and China Journal Full-text Database (Medical sciences) of the China National Knowledge Infrastructure (CNKI) to collect clinical evidence-based case reports. Relevant information was extracted from these reports by a selfdesigned investigation form.Then statistical analyses were performed. Results The search tools used in the course of evidence-based clinical decision making varied. The most frequently used were MEDLINE/PubMed (82.08%) and The Cochrane Library (60.38%). 30.63% of evidence-based case reports described the search strategy in detail, and 9.01% described how they modified their search strategy. All doctors evaluated the association between evidence and disease, but few of them integrated patient factors and relevant external factors when evaluating evidence. The scientific nature and validity of the evidence was evaluated in 74 evidence-based case reports (66.67%), and such evaluation was mainly based on the criteria of evidence grading (50.00%). Reevaluation was mentioned in 85.59% of evidence-based case reports. Conclusion In China, the application of evidence-based decision making varied in different clinical departments. Problems existed in the course of evidence retrieval, appraisal, and reevaluation. This revealed the low information diathesis level of doctors and their lack of evidence-based medicine knowledge. It is suggested that information education and evidence-based medicine education should be strengthened to improve doctors’ ability to use evidence-based clinical decision making. It is also recommended that the search tools, relevant search strategy, the modification of search strategy, and reevaluation on practice results of each case should be mentioned in evidence-based case reports.
At present, upper limb motor rehabilitation relies on specific rehabilitation aids, ignoring the initiative of upper limb motor of patients in the middle and late stages of rehabilitation. This paper proposes a fuzzy evaluation method for active participation based on trajectory error and surface electromyography (sEMG) for patients who gradually have the ability to generate active force. First, the level of motor participation was evaluated using trajectory error signals represented by computer vision. Then, the level of physiological participation was quantified based on muscle activation (MA) characterized by sEMG. Finally, the motor performance and physiological response parameters were input into the fuzzy inference system (FIS). This system was then used to construct the fuzzy decision tree (FDT), which ultimately outputs the active participation level. A controlled experiment of upper limb flexion and extension exercise in 16 healthy subjects demonstrated that the method presented in this paper was effective in quantifying difference in the active participation level of the upper limb in different force-generating states. The calculation results of this method and the active participation assessment method based on sEMG during the task cycle showed that the active participation evaluation values of both methods peaked in the initial cycle: (82.34 ± 9.3) % for this paper’s method and (78.44 ± 7.31) % for the sEMG method. In the subsequent cycles, the values of both showed a dynamic change trend of rising first and then falling. Trend consistency verifies the effectiveness of the active participation assessment strategy in this paper, providing a new idea for quantifying the participation level of patients in middle and late stages of upper limb rehabilitation without special equipment mediation.
The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III (MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology (MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, was launched. The First-Aid database provides a reference for the construction and application of clinical database in China. And it could provide powerful data support for scientific research, clinical decision making and the improvement of medical quality, which will further promote secondary analysis of clinical data in our country.
This paper introduced definition of right care, presented the evidences of overuse and underuse in the world and pointed out the importance of dissemination of evidence-based medicine to right care. Not only evidence production but also concepts of evidence-based practical are important. It is important to disseminate evidence-based medicine not only among academic societies but also among the public. These are critical for achieving right care and preventing overuse and underuse of medical care.
Shared decision making (SDM), as a healthcare service model, requires clinical practice to follow the “patient-centred” medical principle and emphasizes patient participation in the medical decision-making process, which promotes medical equality and improves the quality and effectiveness of healthcare services. However, its methodology has not yet been introduced into the field of Chinese medicine (CM), and there is still a lack of clear guidance on how to implement SDM in clinical practice. This study provided the method of establishing the conceptual framework of SDM in CM, introducing multiple methods according to evidence-based medicine, and conducing an implementation study to explore the applicability of SDM model in CM clinical practice, with the aim of providing references for the application of the SDM in the clinical practice of CM in the future.
In 2019, the national government issued the document "Implementation Plan for Supporting the Construction of the Boao Lecheng International Medical Tourism Pilot Area", which allowed the use of innovative drugs and medical devices in medical institution of Boao Lecheng. These medical products had been designed to meet urgent clinical requirements and had been approved by regulatory authorities overseas. Through the use of these medical products, real-world data were generated in the routine clinical practice, based on which real-world evidence might be produced for regulatory decision-making by using scientific and rigorous methods. In March 2020, the first medical device product using domestic real-world data was approved, suggesting that the real-world data initiative in Boao Lecheng achieved initial success. This work also provided important experience for promoting the practice of medical device regulatory decision-making based on real-world evidence in China. Here, we shared the preliminary experiences from the study on the first approved medical device product and discussed the issues on developing a real-world data research framework in Boao Lecheng in attempt to offer insights for future studies.
Doctor-patient shared decision making is an expansion and extension of the patient-centered concept, which emphasizes communication and collaboration between doctors and patients in making decisions, focuses on patients, needs, enhances communication and exchange between doctors and patients, and improves the status of patients in medical decision making. This paper reviews the concept, domestic and international research overview, advantages, and application of doctor-patient shared decision making in hip and knee arthroplasty, and discusses the future research directions, in order to provide a reference for the application of shared decision making between doctors and patients in hip and knee arthroplasty in China.
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.