The Relationship Between Knowledge, Attitude, Practice, and Fall Prevention for Childhood in Shanghai, China.

Background: Early childhood fall is a pressing global public health problem and one of the leading causes of child injury. China has a high proportion of children and a high burden of illness from falls. Therefore, educational interventions to prevent childhood fall would be beneficial. Methods: We used the outcome of knowledge, attitude and practice questionnaire, which was conducted by Pudong New District of Shanghai Municipal Government, to summarize demographic and baseline characteristics grouped by intervention or not, and analyzed descriptive statistics of continuous and categorical variables. A logistic stepwise function model was established to study the influence of different covariables on the degree of injury, and AIC/BIC/AICC was used to select the optimal model. Finally, we carried out single-factor analysis and established a multifactor model by the stepwise function method. Results: Attitude and actual behavior scores had significant differences. The intervention and control groups had 20.79 ± 3.20 and 20.39 ± 2.89 attitude scores, respectively. Compared to the control group (5.97 ± 1.32), the intervention group had higher actual behavior scores (5.75 ± 1.50). In the univariate analysis results, fathers' education level, mothers' education level, actual behavior and what cares for children had a significant influence on whether children got injured. In multivariate analysis, attitude had a positive influence on whether injured [odds ratio: 1.13 (1.05-1.21), P < 0.001]. Conclusion: Educational intervention for children and their guardians can effectively reduce the risk of childhood falls, and changes in behavior and attitude are the result of educational influence. Education of childhood fall prevention can be used as a public health intervention to improve children's health.

Healthcare practice strategies for integrating personalized medicine: Management of COVID-19.

Personalized medicine is the tailor-made clinical treatment to the individual characteristics of each patient. It may be considered an extension of traditional approaches to knowing and treating diseases. Personalized medicine has the potential to change the way of identification and management of health problems. Coronavirus disease 2019 (COVID-19) is an infectious disease that primarily affects the patients' lungs. The first case of pneumonia of unknown cause was reported in Wuhan, China on December 31, 2019. As thus, we are quickly approaching the era of personalized medicine. This review discusses the practices currently used in the management of COVID-19 and how they relate to personalized medicine.

Insights from the comparisons of SARS-CoV and COVID-19 outbreaks: The evidence-based experience of epidemic prevention in China.

ABSTRACT: Coronavirus disease 2019 (COVID-19) is one of infectious diseases caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). At the beginning of 2020, a sudden outbreak of novel pneumonia, originated from Wuhan, China, swiftly evolves to a worldwide pandemic, alike the severe acute respiratory syndrome (SARS) in 2003. However, Chinese-style innovation in response to the outbreak of COVID-19 helped China to reach a faster and more effective success in the containment of this epidemic. This review summarizes insights from the comparisons of severe acute respiratory syndrome coronavirus (SARS-CoV) and COVID-19 outbreaks on the basis of preventive strategies in China for this coronavirus pandemic.