The role of accompanying health in prevention, treatment, diagnosis and self-care of Covid 19 from the perspective of nurses
Publish Year: 1399
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
THPC03_065
تاریخ نمایه سازی: 6 اسفند 1399
Abstract:
Considering the importance of using mobile health technology in prevention, treatment, diagnosis and self-care of Covid 19 and to facilitate the management of this disease, it is very important to understand the attitude of nurses about this technology. Therefore, in this study, health interventions have been identified along with a focus on their functional capabilities that can help in the prevention, diagnosis, self-care and treatment of Covid 19 from the perspective of nurses.Methods: The present study is a descriptive-analytical cross-sectional study that was performed in 2015 on 52 nurses in Iran. Sampling was easy (available). Data collection tool in this research was a researcher-made electronic questionnaire consisting of 81 questions and had six sections, the first part included demographic information of the service provider with 5 questions, the second part included familiarity with mobile health technology in the form of one question, the third to sixth sections The questionnaire identifies the functional capabilities of mobile health and the extent of their assistance in the prevention (19 questions), diagnosis (18 questions), treatment (22 questions) and self-care (16 questions) of Covid 19 disease. The questions of the third to the sixth part were in the form of 5-choice Likert scale. The content validity of the questionnaire was confirmed by 5 medical informatics specialists. Cronbach's alpha coefficient was used to evaluate the reliability of this questionnaire. Data were analyzed in SPSS software version 24 using descriptive statistics and analytical tests (Kolmogorov-Smirnov test and t-test).Results: In this study, 58% were female and 76% were bachelor or higher. The level of familiarity of 67% of nurses with mobile health technology was moderate and higher. Overall, nurses believed that mobile health technology could be most helpful in the field of self-care (Mean = 4.07, = 0.53)field of diagnosis (Mean = 3.69, SD = 0.56). Findings regarding the role of mobile health capabilities in prevention, diagnosis, treatment and self-care of Covid 19, showed that monitoring and screening of community members using mobile health technology to prevent the disease is the most helpful (Mean = 4.31, SD = 0.86) and visits. Remotely helps to diagnose the disease (Mean = 3.21, SD = 0.91). Also, the results of this study showed that the most assistance of mobile health technology in the dimensions of monitoring and screening (Mean = 3.92, SD = 0.50) and training and decision making (Mean = 3.92, SD = 0.54) and the least assistance in the dimension of new capabilities (image processing). , Chatbots, etc.) (Mean = 3.74, SD = 0.62). Based on the statistical results, no significant relationship was observed between nurses' familiarity with mobile health technology and age and level of education (p <0.05, CI = 95%).Conclusion: This study showed that although there were differences in nurses' attitudes about using mobile health technology in prevention, treatment, self-care and diagnosis of Covid 19 patients, but in general these people had a positive attitude towards using this technology in these four areas. . The results of this study can be useful for developers of mobile health technology and managers of health organizations to prioritize and design these technologies in the field of Covid 19 disease management.
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Authors
Mahdieh Montazeri
PhD Student of Medical Informatics, Department of Health Information Sciences, Faculty of Management and Medical Informatics,Kerman University of Medical Sciences, Kerman, Iran.
Zahra Galavi
PhD Student of Medical Informatics, Department of Health Information Sciences, Faculty of Management and Medical Informatics,Kerman University of Medical Sciences, Kerman, Iran.
Leila Ahmadian
Associate Professor of Department of Health Information Sciences, Faculty of Management and Medical Informatics, Kerman University of Medical Sciences, Kerman, Iran.