Background Mobile apps have been shown to play an important role in the management, care, and prevention of infectious diseases. Thus, skills for self-care—one of the most effective ways to prevent illness—can be improved through mobile health apps. Objective This study aimed to design, develop, and evaluate an educational mobile-based self-care app in order to help the self-prevention of COVID-19 in underdeveloped countries. We intended the app to be easy to use, quick, and inexpensive. Methods In 2020 and 2021, we conducted a methodological study. Using the ADDIE (analysis, design, development, implementation, and evaluation) educational model, we developed a self-care management mobile app. According to the ADDIE model, an effective training and performance support tool is built through the 5 phases that comprise its name. There were 27 participants who conducted 2 evaluations of the mobile app’s usability and impact using the mobile health app usability and self-care inventory scales. The study design included pre- and posttesting. Results An Android app called MyShield was developed. The results of pre- and posttests showed that on a scale from 0 to 5, MyShield scored a performance average of 4.17 in the physical health dimension and an average of 3.88 in the mental well-being dimension, thereby showing positive effects on self-care skills. MyShield scored highly on the “interface and satisfaction,” “ease of use,” and “usefulness” components. Conclusions MyShield facilitates learning self-care skills at home, even during quarantine, increasing acquisition of information. Given its low development cost and the ADDIE educational design on which it is based, the app can be helpful in underdeveloped countries. Thus, low-income countries—often lacking other tools—can use the app as an effective tool for fighting COVID-19, if it becomes a standard mobile app recommended by the government.
Background and Aim: Health Information Technology helps individuals prevent COVID-19. Many information technology applications have been developed to prevent Coronavirus infection globally; however, the quality level of these applications is uncertain. This study aims to evaluate the usability of the Mask mobile application, which is designed to fight COVID-19. Materials and Methods:The Mask mobile application is evaluated in two phases in this study. In the first phase, five experts performed the evaluation by Jacob Nielsen's 10 general principles, and in the second phase, 124 participants evaluated the Mask mobile application. Data collection tools were the System Usability Scale (SUS) questionnaire.Results: Mask mobile application was poor in experts evaluating it in terms of error prevention, flexibility, and efficiency. In the user-based test method, the user score of this application was 89 out of 100, which was equal to an excellent ranking and grade A. Conclusion:The results have indicated that the usability of the Mask mobile application to prevent COVID-19 has been excellent. As a result of the study, mobile application developers might improve or modify their existing mobile health application designs to achieve optimal outcomes.
Black globe temperature (T g ) is one of the most common measurement variables used for assessing heat stress; however, it is usually not reported in meteorological data. This study developed a model to estimate T g based on meteorological measurements, in order to calculate the occupational heat stress index in outdoor workplaces. This descriptive and analytical study was conducted from May to September 2013 in Qom, Iran. Environmental variables such as natural wet-bulb temperature (T nw ), dry-bulb temperature (T a ), solar radiation (SR) and relative humidity (RH) were measured by meteorological instruments in weather stations and T g was measured by a globe thermometer in the same situations at different times. Data were analysed using IBM SPSS16. Independent variables including T nw , T a , SR and RH and the dependent variable T g were introduced to the software, and several regression models were obtained. Finally, a model that had the most appropriate correlation with a significance level of 0.05 was chosen as the best model. The correlation co-efficients between T g and T nw , T a , SR and RH were obtained as 0.84, 0.63, 0.75 and −0.75, respectively. The results showed that T a , SR and RH can justify about 90% of the variation in T g . There was a significant relationship between T g and T a , SR and RH (p < 0.05). The correlation co-efficient between actual and estimated data was 0.95 (p < 0.001). The model obtained can be trusted to estimate the black globe temperature in a hot and dry environment and can be useful in assessing occupational heat stress in outdoor workplaces.
Introduction Clinical decision support systems (CDSSs) play an important role in summarizing the best clinical practices, thereby promoting high standards of care in specific medical fields. These systems can serve as tools for gaining knowledge and mediating between clinical guidelines and physicians thereby providing the right information to the right person at the right time. Objective This review aims to evaluate the effect of CDSSs on adherence to guidelines for venous thromboembolism (VTE) prophylaxis and VTE events compared to routine care without CDSSs in non-surgical patients. Methods In order to conduct a systematic literature review, the published studies were identified through screening EMBASE, the international clinical trials registry, OVID, Cochrane database, PubMed, ISI Web of Science, and Scopus databases, from 1982 to March 2021. The included studies were reviewed by two independent reviewers; the proportion of patients that correctly received VTE prophylaxis has been next extracted for further analysis. Additionally, patients were divided into two groups: CDSS-recommended VTE prophylaxis and routine care without using a CDSS. Results Twelve articles (three randomized controlled trials, seven prospective cohort trials, and two retrospective cohort trials) were in fine analyzed. The use of CDSSs is found to be associated with a significant increase in the rate of using the appropriate prophylaxis for VTE ( p < 0.05) and a significant decrease in the incidence of VTE ( p < 0.05). Conclusion Implementation of CDSSs can help improving the appropriate use of VTE prophylaxis in non-surgical patients. Further, evidence-based and interventional studies on the development of CDSSs can provide more in-depth knowledge on both this tool design and efficiency.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.