Patients' Behavioral Intentions toward Using WSN Based Smart Home Healthcare Systems: An Empirical Investigation

Author(s):  
Ahmad Alaiad ◽  
Lina Zhou
Author(s):  
Wajahat Ali Khan ◽  
Maqbool Hussain ◽  
Asad Masood Khattak ◽  
Muhammad Afzal ◽  
Bilal Amin ◽  
...  

2017 ◽  
Vol 08 (04) ◽  
pp. 1184-1196 ◽  
Author(s):  
A. Sapci ◽  
H. Sapci

Objective This article aimed to evaluate the effectiveness of newly established innovative smart home healthcare and health informatics laboratories, and a novel laboratory course that focuses on experiential health informatics training, and determine students' self-confidence to operate wireless home health monitoring devices before and after the hands-on laboratory course. Materials and Methods Two web-based pretraining and posttraining questionnaires were sent to 64 students who received hands-on training with wireless remote patient monitoring devices in smart home healthcare and health informatics laboratories. Results All 64 students completed the pretraining survey (100% response rate), and 49 students completed the posttraining survey (76% response rate). The quantitative data analysis showed that 95% of students had an interest in taking more hands-on laboratory courses. Sixty-seven percent of students had no prior experience with medical image, physiological data acquisition, storage, and transmission protocols. After the hands-on training session, 75.51% of students expressed improved confidence about training patients to measure blood pressure monitor using wireless devices. Ninety percent of students preferred to use a similar experiential approach in their future learning experience. Additionally, the qualitative data analysis demonstrated that students were expecting to have more courses with hands-on exercises and integration of technology-enabled delivery and patient monitoring concepts into the curriculum. Conclusion This study demonstrated that the multidisciplinary smart home healthcare and health informatics training laboratories and the hands-on exercises improved students' technology adoption rates and their self-confidence in using wireless patient monitoring devices.


2019 ◽  
Vol 14 (1) ◽  
pp. 50-59
Author(s):  
Hyo‐Jin Kang ◽  
Bora Kim ◽  
Gyu Hyun Kwon

2016 ◽  
Vol 8 (3) ◽  
pp. 219-232 ◽  
Author(s):  
Mark A. Casteel

Abstract In 2014, following a Central Region pilot assessment, the National Weather Service implemented large-scale use of an experimental product of enhanced severe weather warnings known as impact-based warnings (IBWs). The overarching goal of these IBWs is to improve the threat warning process and motivate appropriate responses by using event tags and additional text that provides more specificity about the magnitude of the storm and its potential consequences. These IBWs are designed to be used by individuals in the field to make more effective decisions. Although qualitative research has shown overall satisfaction with IBWs (Harrison et al. 2014; Losego et al. 2013), little published experimental research has been conducted on these new enhanced warnings. The research reported here therefore empirically investigates the effectiveness of the new IBW experimental product. In three experiments, participants adopted the role of a plant manager and read both IBWs and non-IBWs. At three different decision points, participants made decisions about shutting down the plant and having employees shelter in place. The results of all three experiments show that the IBWs produced higher likelihoods of closing the plant and sheltering in place, but only after the additional IBW text (providing information about the hazard, source, and impact) was presented. Interestingly, participant background knowledge of tornadoes and severe weather had little impact on their shelter in place decisions. The results support the conclusion that the additional enhanced text in IBWs promotes a higher stated likelihood of sheltering in place, at least as measured by behavioral intentions.


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