Effect of a Nurse-Led Omaha System-Based Mobile Health Application in Managing Symptoms and Enhancing Quality of Life in Patients With a Communicable Disease: A Randomized Controlled Trial.
IF 1.3 4区 医学Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0
Abstract
This study investigated the effects of a nurse-led Omaha System-based mobile health application on physical, psychosocial, and cognitive symptoms and quality of life in patients with COVID-19 followed at home. This randomized control trial was conducted on 60 patients followed at home (30 in each intervention and control group). The intervention group received a nurse-led Omaha System-based mobile health application named COVOS, and the control group received usual care. Compared with the control group, the physical symptoms of the intervention group were significantly reduced at all follow-ups (first, second, and third months; P < .05). Psychosocial symptoms (depression, anxiety, stress) were significantly reduced, respectively, in the intervention group at all follow-ups: first and third months and second and third months ( P < .05). Cognitive symptoms were significantly reduced in the first month in the intervention group ( P = .014). Similarly, the physical component score of quality of life significantly improved in the first month, and the mental component score of quality of life significantly improved in the second and third months ( P < .05) in the intervention group. Results suggest that the COVOS had the potential to reduce effectively the physical, psychosocial, and cognitive symptoms of patients with COVID-19 and improve the quality of life of patients with COVID-19 followed at home.
期刊介绍：
For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.
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