Health technological innovation has helped to improve health care delivery and patient outcomes. However, the proliferation of health care technology has accompanied burgeoning health care costs and evoked social, ethical, legal, and political concerns. Health technology assessment (HTA) is the systematic evaluation of properties, effects and/or other impacts of health care technology. The main purpose of HTA is to inform persons of technology-related policy making in health care. There is great variation in the scope, selection of methods and level of detail in the practice of HTA. This paper will introduce the basic concepts and methods of HTA in order to help those who are interested in conducting HTA.
Random allocation to intervention groups remains the best method of ensuring that the groups being compared are similar at the onset of study and of avoiding removing selection bias between groups of patients. The success of randomization depends on two interrelated processes. First, an unpredictable allocation sequence must be generated based on a random procedure. Second, strict implementation of that sequence must be secured through an assignment mechanism called allocation concealment to prevent those involved in a trial from knowing upcoming assignments. Inadequate allocation concealment can lead to clinicians scheduling patient’s assignment and compromising the unpredictable allocation sequence.
Interstitial lung disease is the most common pulmonary complication in patients with inflammatory myopathy, with a high case fatality rate, unknown pathogenesis, and complex clinical manifestations, and the treatment is difficult. Early and timely treatment can improve the patient’s clinical symptoms and inhibit the development of the disease. The present treatment protocols can be mainly summarized as the commonly used drugs (corticosteroids, azathioprine, cyclophosphamide, mycophenolate mofetil, and intravenous immunoglobulin) and new drugs (cyclosporin A, tacrolimus, biological agents, and anti-fibrosis drug), etc. In this paper, the treatment progress of inflammatory myopathy-related interstitial lung disease and different myositis antibody-related interstitial lung disease in recent years at home and abroad is reviewed, so as to provide a basis for clinical treatment.
The feature extraction and feature selection are the important issues in pattern recognition. Based on the geometric algebra representation of vector, a new feature extraction method using blade coefficient of geometric algebra was proposed in this study. At the same time, an improved differential evolution (DE) feature selection method was proposed to solve the elevated high dimension issue. The simple linear discriminant analysis was used as the classifier. The result of the 10-fold cross-validation (10 CV) classification of public breast cancer biomedical dataset was more than 96% and proved superior to that of the original features and traditional feature extraction method.
Improving the rate of pathogen examination before antibiotic treatment is of great significance for clarifying pathogen diagnosis and curbing bacterial resistance, and is also one of the important goals for improving national medical quality and safety. In response to the current problem of low pathogen examination rates, Chengdu Women’s and Children’s Central Hospital adopts a FOCUS-PDCA model, has explored measures such as current situation investigation, root cause analysis, intervention plan formulation, countermeasure implementation, and effect evaluation to improve the rate of pathogen examination before antibiotic treatment in inpatients. This article mainly elaborates on the above model, which has practical significance for ensuring the rational use of antibiotics in inpatients.