Hong MH, et al. J Korean Acad Nurs Adm. 2016 Mar;22(2):167-177. http://dx.doi.org/10.11111/jkana.2016.22.2.167

Jang HM, et al. J Korean Acad Nurs Adm. 2016 Jun;22(3):239-250. http://dx.doi.org/10.11111/jkana.2016.22.3.239

Purpose: The purpose of this study was to identify the effect of nurses' nursing professionalism, moral sensitivity, and social support on intention to care for patients with emerging infectious diseases.Methods: A structured self-report questionnaire was used to measure nursing professionalism, moral sensitivity, social support, and intention to care for patients with emerging infectious diseases. Data were collected from April 9~20, 2019. Participants were 200 nurse nurses working in national and public hospitals. Data were analyzed using Pearson correlation coefficients, and Multiple regression with the SPSS/WIN 24.0 program.Results: The perceived behavioral control (β=.48, p<.001), control beliefs (β=-.26, p<.001), moral sensitivity (β=.23, p<.001), normative beliefs (β=.17, p=.002), subjective norms (β=.17, p=.001), and attitude toward behavior (β=.10, p=.036) were a significant predictor of the intention to care for emerging infectious disease patients (Adj. R2=.65).Conclusion: In order to confidently carry out nursing activities for patients with emerging infectious diseases, sufficient education on the epidemiological characteristics of emerging infectious diseases must be provided and education programs developed and applied with simulation similar to those of actual care for emerging infectious disease patients.

This study was conducted to contribute to active disaster response by developing internet of things (IoT)-based vital sign monitoring e-triage tag system to improve the survival rate at disaster mass casualty incidents fields. The model used in this study for developing the e-triage tag system is the rapid prototyping model (RAD). The process comprised six steps: analysis, design, development, evaluation, implementation, and simulation. As a result of detailed assessment of the system design and development by an expert group, areas with the highest score in the triage sensor evaluation were rated “very good”, with 5 points for continuous vital sign data delivery, portability, and robustness. In addition, ease of use, wearability, and electricity consumption were rated 4.8, 4.7, and 4.6 points, respectively. In the triage application evaluation, the speed and utility scored a perfect 5 points, and the reliability and expressiveness were rated 4.9 points and 4.8 points, respectively. This study will contribute significantly to increasing the survival rate via the development of a conceptual prehospital triage for field applications and e-triage tag system implementation.