The rapid spread of the epidemic has aroused widespread concern in the international community. Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) was first reported in China, with bats as the likely original hosts and pangolins as potential intermediate hosts. The current source of the disease is mainly patients infected with SARS-COV-2. Patients in the incubation period may also become sources of infection. The virus is mainly transmitted via respiratory droplets and contact, and the population is generally susceptible. The epidemic has progressed through the local outbreak stage and community transmission stage due to exposure at Wuhan's Huanan wholesale seafood market and is now in the stage of large-scale transmission due to the spread of the epidemic. The basic productive number (R0) at the beginning of the epidemic was 2.2, with an average incubation period of 5.2 days. The proportion of critically ill patients was 23.4%, the mortality rate was lower than those of SARS and Middle East respiratory syndrome, and 96.5% of deaths occurred in Hubei Province, where the outbreak occurred first. Among them, elderly men with underlying diseases had a higher mortality rate. Chinese medical staff have summarized a set of effective strategies and methods in the diagnosis and treatment of this disease that are worthy of reference for their international counterparts. With powerful government intervention and the efforts of Chinese medical staff, China's outbreak has gradually improved.
Future diabetes apps should attempt to incorporate features under evidence-based guidelines such as AADE7 to better support the self-management behavior changes of people with diabetes.
To explore the influence of changes in human lifestyle and the living environment caused by nonpharmaceutical interventions in coronavirus disease 2019 (COVID-19) on allergic diseases, the present study enrolled children who came to the Children's Hospital of Zhejiang University for allergen detection between January 2019 and December 2020. By comparing the positive rates and levels of various allergen-specific immunoglobulin E (IgE) before and during the COVID-19 pandemic, the influence of changes in human lifestyle and the living environment caused by prevention and control measures in COVID-19 on allergic diseases was evaluated. In 2019, 41 648 allergic children went to the hospital, but in 2020, due to the impact of the COVID-19 epidemic, the number decreased to 24 714. In 2020, the number of allergy visits was the lowest in February and gradually increased. There were 45 879 children with total IgE > 17.5 IU/ml in 2 years, accounting for 69.13% of the total samples, of which the proportion was 68.52% (28 536/41 648) in 2019 and 70.17% (17 343/24 714) in 2020. A total of 29 906 children were positive for one or more allergens in 2 years. It accounts for 45.06% of the total number of samples, of which the proportion is 41.53% (17 296/41 648) in 2019 and 51.02% (12 610/24 714) in 2020. Except for cashew nuts, the positive number of other allergens in 2020 was less than in 2019, especially after June and July 2020. Except for Artemisia argyi, the positive rates of other allergens in 2020 were significantly higher than those in 2019 (p < 0.05). Moreover, the changing trend of the positive allergen rate in each month in 2020 was different from that in 2019. In 2020, except for Dermatophagoides farinae, Dermatophagoides pteronyssinus, and Crab, specific IgE levels of other allergens were not greater than those in 2019 (p < 0.05). Thus it can be seen, during the COVID-19 pandemic, nonpharmaceutical interventions played a protective role in reducing children's exposure to allergens and alleviating allergic reactions.
Background: The number of mobile diabetes self-management applications (apps) has risen. However, it is not certain whether these apps provide effective diabetes self-management for older people with diabetes. In this study, we aim to identify barriers in features and usability related to the needs of older people with diabetes for diabetes self-management applications.Methods: We conducted focus groups with 10 older people with diabetes (mean age = 69 years old). Based on the data saturation theory, there were 2 focus groups. Participants completed a set of diabetes self-management tasks using 9 representative diabetes self-management applications on iPads. We collected information regarding demographics, diabetes history, health literacy and prior experience using mobile devices and diabetes self-management applications. We asked participants’ preferences, concerns and needs for diabetes self-management application features. The System Usability Scale (0-100) measured overall usability. Thematic analysis identified the barriers that older participants encountered as they interacted with the diabetes self-management applications.Results: Participants found mobile applications inadequate for features on Healthy Coping and Problem Solving. The features that participants liked most for the diabetes self-management applications were documentation, information and goal setting. Thematic analysis revealed that usability was their primary concern about diabetes self-management applications in managing diabetes conditions. The average System Usability Scale score was 48 out of 100, which is considered not acceptable.Conclusions: This study suggests current diabetes self-management applications do not provide evidence-based, usable features for diabetes self-management and may not fulfill the needs of older people with diabetes.
Background Diabetes mellitus (DM) is one of the most common chronic diseases in the world. As a disease with long‐term complications requiring changes in management, DM requires not only education at the time of diagnosis, but ongoing diabetes self‐management education and support (DSME/S). In the United States, however, only a small proportion of people with DM receive DSME/S, although evidence supports benefits of ongoing DSME/S. The diabetes education that providers deliver during follow‐up visits may be an important source for DSME/S for many people with DM. Methods We collected 200 clinic notes of follow‐up visits for 100 adults with DM and studied the History of Present Illness (HPI) and Impression and Plan (I&P) sections. Using a codebook based on the seven principles of American Association of Diabetes Educators Self‐Care Behaviors (AADE7), we conducted a multi‐step deductive thematic analysis to determine the patterns of DSME/S information occurrence in clinic notes. Additionally, we used the generalised linear mixed models for investigating whether providers delivered DSME/S to people with DM based on patient characteristics. Results During follow‐up visits, Monitoring was the most common self‐care behaviour mentioned in both HPI and I&P sections. Being Active was the least common self‐care behaviour mentioned in the HPI section and Healthy Coping was the least common self‐care behaviour mentioned in the I&P section. We found providers delivered more information on Healthy Eating to men compared to women in I&P section. Generally, providers delivered DSME/S to people with DM regardless of patient characteristics. Conclusions This study focused on the frequency distribution of information providers delivered to the people with DM during follow‐up clinic visits based on the AADE7. The results may indicate a lack of patient‐centred education when people with DM visit providers for ongoing management. Further studies are needed to identify the underlying reasons why providers have difficulty delivering patient‐centred education.
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