The data collection form is a bridge in-between the original studies and the final systematic reviews. It’s the basis for data analyses, directly related to the results and conclusions of systematic reviews, and plays an important role in systematic reviews. There are strict requirements of data collection forms in making Cochrane systematic reviews. In this article, the authors introduce their experiences regarding to the design of data collection form.
Simulation-based medical education is becoming increasingly common. In this paper, the status and goal of SBME development is analyzed after a brief introduction of SBME. Secondly, the essentiality and possibility of bringing SBME to a situated paradigm are clarified, because there are rich implications for situated cognition as the theory foundation of SBME. As a main discussion point, eight practical situated designing principles for SBME in theoretical and practical contexts are then expounded. Finally, a specific attitude toward the relationship between theory and practice for the SBME teachers is also elucidated.
As one of the standard electrophysiological signals in the human body, the photoplethysmography contains detailed information about the blood microcirculation and has been commonly used in various medical scenarios, where the accurate detection of the pulse waveform and quantification of its morphological characteristics are essential steps. In this paper, a modular pulse wave preprocessing and analysis system is developed based on the principles of design patterns. The system designs each part of the preprocessing and analysis process as independent functional modules to be compatible and reusable. In addition, the detection process of the pulse waveform is improved, and a new waveform detection algorithm composed of screening-checking-deciding is proposed. It is verified that the algorithm has a practical design for each module, high accuracy of waveform recognition and high anti-interference capability. The modular pulse wave preprocessing and analysis software system developed in this paper can meet the individual preprocessing requirements for various pulse wave application studies under different platforms. The proposed novel algorithm with high accuracy also provides a new idea for the pulse wave analysis process.
N-of-1 trial design offers a methodologically sound approach to determining optimum treatment for an individual patient and solves some limitations of randomized controlled trials. This design could offer an efficient method of reaching a personal treatment regime tailored to suit individual needs and preferences. The paper introduces practical application, objects and the implementation process of N-of-1 trial, to explore its design points and implementation.
【Abstract】 Objective To study the shoulder anatomy characteristics of the Chinese people and to design a newkind of humeral prosthesis, which could real ize the adjustment in three-dimensional space and be adjusted repeatedly, based on Chinese humeral anatomy characteristics. Methods A double-gear structure as a rotating part was adopted to design the structure of this new kind humeral prosthesis. Results The humeral prosthesis could satisfy both the needs of Chinese individual shoulder characteristics and the Westerners’ demands. Conclusion A novel concept of shoulder prosthesis design with a b appl ication value in design and development of the new prosthesis is proposed.
ObjectiveTo establish a reasonable risk evaluation tool in order to guide the clinical prevention of accidental extubation. MethodsWe collected all the tube types in our hospital, and according to the extubation consequence severity and risks, we designed the extubation risk factor items and formed the professional tables for scoring. Sixteen medical experts and 16 nursing experts were chosen to determine the scores for two rounds following the "Delphi" method. Five patients that had extubation accidentally were selected for evaluation, and 56 clinical cases provided feedbacks after evaluation. Then, the risk was set into 3 ranks:light (≤ 8 points), medium (9-12 points) and high (≥ 13 points). Finally, literature review and collection of the prevention measures were carried out, and the final "Accidental Extubation Risk Evaluation Table" was completed. ResultsAltogether, 283 patients were evaluated using the table in 23 departments of the hospital, among whom 121 were at mild risk, 76 were at medium risk and 86 were at high risk. Measures were taken accordingly, and no accidental extubation occurred. ConclusionThe evaluation table is reasonable, with which accidental extubation risk evaluation is standardized, and the safety of catheter nursing is enhanced.
Cluster randomized trial (CRT) is one of the most common design for complex intervention. This paper mainly introduced:the definition of CRT, two designs of CRT including the completely randomization and the restricted randomization (such as stratified randomization and matching randomization), and the statistical analysis methods (such as the general statistical analysis and mixed effect model/multi-level model). This paper also introduced how to estimate the sample size of a CRT, how to report a CRT, and how to apply it into a clinical or community study.
This paper mainly introduces the design, advantages, disadvantages and its application of single case of randomized controlled trials (N-of-1 trials), and also introduces the commonly used data analysis methods of N-of-1 trials including nonparametric test and parameter test methods (t-test, paired t-test, analysis of variance), mixed-effects model, and meta-analysis. N-of-1 trials are suitable for individualized treatment, and could be expected to be widely used in the research of modern medicine and traditional Chinese medicine.
Compared with traditional medical devices, artificial intelligence medical devices face greater challenges in the process of clinical trials due to their related characteristics of artificial intelligence technology. This paper focused on the challenges and risks in each stage of clinical trials on artificial intelligence medical devices for assisted diagnosis, and put forward corresponding coping strategies, with the aim to provide references for the performance of high-quality clinical trials on artificial intelligence medical devices and shorten the research period in China.
Antimicrobial peptides (AMPs) are a class of peptides widely existing in nature with broad-spectrum antimicrobial activity. It is considered as a new alternative to traditional antibiotics because of its unique mechanism of antimicrobial activity. The development and application of natural AMPs are limited due to their drawbacks such as low antimicrobial activity and unstable metabolism. Therefore, the design and optimization of derived peptides based on natural antimicrobial peptides have become recent research hotspots. In this paper, we focus on ribosomal AMPs and summarize the design and optimization strategies of some related derived peptides, which include reasonable primary structure modification, cyclization strategy and computer-aided strategy. We expect to provide ideas for the design and optimization of antimicrobial peptides and the development of anti-infective drugs through analysis and summary in this paper.