ABSTRACT
The world is witnessing an increasing number of senior adult residents who experience health issues. Healthcare innovation facilitates monitoring the health conditions of senior adults and reducing the burden on healthcare institutions. The study explored the effect of health improvement expectancy, effort expectancy, price value, perceived vulnerability, health consciousness, and perceived reliability on the intention and adoption of medical wearable devices (MWD) among senior adults in China. Furthermore, a cross-sectional design was adopted, while quantitative data was collected from 304 senior adults through an online survey. A hybrid approach of partial least square structural equational modeling and artificial neural network-based analysis technique was adopted. The findings demonstrated that health improvement expectancy, perceived vulnerability, price value, and perceived reliability significantly affected the intention to adopt MWDs. Moreover, the intention to adopt MWDs significantly positively affected the actual adoption of MWDs among senior adults. Although the moderating effect of the pre-existing conditions and income between the intention to use MWDs and actual adoption of MWDs was positive, it was not statistically significant. The artificial neural network analysis has proven that perceived reliability, price value, and vulnerability are the most critical factors contributing to the intention to use MWDs. The current study offered valuable insights into the factors affecting the intention and adoption of MWDs among senior adults. Following that, theoretical and practical contributions were documented to improve the ease of use and price value for the prospective users of MWDs. The correct healthcare policies could curtail the influx of senior adults into the hospital and empower these adults to track and manage their health issues at home.
Subject(s)
Neural Networks, Computer , Wearable Electronic Devices , Reproducibility of Results , Cross-Sectional Studies , Prospective StudiesABSTRACT
Objective To analyze the fungal distribution and drug sensitivity analysis in 113 cases of lesion secretions .Methods Identification of fungi and drug sensitive test were done in 113 cases of lesion secretions .Results Among the 113 cases of lesion se-cretions ,there were Candida albicans 75 cases(66 .4% ) ,Candida dublin 29 cases(26 .7% ) ,Candida parapsilosis 6 cases(5 .3% ) , Candida krusei 3 cases(2 .7% ) .For Candida albicans ,the drug sensitive rates of 5-fluorocytosine and amphotericin B were 94 .7%and 97 .3% respectively .For Candida dublin ,the drug sensitive rate of amphotericin B was 93 .1% .For Candida parapsilosis ,the drug sensitive rates of voriconazole and amphotericin B were both 83 .3% .For Candida krusei ,the drug sensitive rates of 5-fluoro-cytosine and amphotericin B were both 100 .0% .Conclusion Strengthening the fungal distribution and drug sensitivity analysis be-fore treatment in fungal lesion secretions may provide direction for the clinical treatments .
ABSTRACT
Hyperoxia-induced lung injury in neonatal is a common complication after the clinical high oxygen therapy. There is not specific and effective prevention and treatment. Recent research suggests that many factor play an important role in the repair and protection of hyperoxia-induced lung injury in neonatal, such as growth factor, bone marrow mesenchymal stem cells,erythropoietin, anti-chemokine and anti-oxidation. The article reviews the molecular systems mechanisms in the pathologic process of hyperroxia-induced lung injury in neonatal.
