Dataset Information

Development, Acceptance, and Concerns Surrounding App-Based Services to Overcome the COVID-19 Outbreak in South Korea: Web-Based Survey Study.

ABSTRACT:

Background

Since the COVID-19 outbreak, South Korea has been engaged in various efforts to overcome the pandemic. One of them is to provide app-based COVID-19-related services to the public. As the pandemic continues, a need for various apps has emerged, including COVID-19 apps that can support activities aimed at overcoming the COVID-19 pandemic.

Objective

We aimed to determine which apps were considered the most necessary according to users and evaluate the current status of the development of COVID-19-related apps in South Korea. We also aimed to determine users' acceptance and concerns related to using apps to support activities to combat COVID-19.

Methods

We collected data from 1148 users from a web-based survey conducted between November 11 and December 6, 2020. Basic statistical analysis, multiple response analysis, and the Wilcoxon rank sum test were performed using R software. We then manually classified the current status of the development of COVID-19-related apps.

Results

In total, 68.4% (785/1148) of the respondents showed high willingness to protect themselves from COVID-19 by using related apps. Users considered the epidemiological investigation app to be the most necessary app (709/1148, 61.8%) overall, followed by the self-management app for self-isolation (613/1148, 53.4%), self-route management app (605/1148, 52.7%), COVID-19 symptom management app (483/1148, 42.1%), COVID-19-related information provision app (339/1148, 29.5%), and mental health management app (270/1148, 23.5%). Despite the high intention to use these apps, users were also concerned about privacy issues and media exposure. Those who had an underlying disease and had experience using COVID-19-related apps showed significantly higher intentions to use those apps (P=.05 and P=.01, respectively).

Conclusions

Targeting users is very important in order to design and develop the most necessary apps. Furthermore, to gain the public's trust and make the apps available to as many people as possible, it is vital to develop diverse apps in which privacy protection is maximized.

SUBMITTER: Park J

PROVIDER: S-EPMC8330629 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundIn emergencies, language barriers may have dangerous consequences for the patients. There have been some technical approaches to overcome language barriers in medical care but not yet in the prehospital emergency care setting. The use of digital technologies in health care is expanding rapidly. Involving end users at all stages of the development process may help to ensure such technologies are usable and can be implemented.ObjectiveWe aimed to develop a digital communication tool that addresses paramedic needs in the specific circumstances of prehospital emergency care and helps paramedics to overcome language barriers when providing care to foreign-language patients.MethodsWe actively engaged paramedics and software designers in an action-oriented, participatory, iterative development process, which included field observations, workshops, background conversations, questionnaires on rescue missions, studying the literature, and preliminary testing in the field.ResultsWith input from paramedics, we created an app with 600 fixed phrases supporting 18 languages. The app includes medical history-taking questions, phrases asking for consent, and phrases providing specific additional information. Children as patients, as well as their carers and other third parties, can be addressed with appropriate wording. All phrases can be played back audibly or displayed as text. The comprehensive content is grouped into categories and adapted to diverse scenarios, which makes the tool rapidly usable. The app includes a function to document patient responses and the conversation history. For evaluation in a clinical study, the app is run on a smartphone with extra speakers to be of use in noisy environments. The use of prototypes proved valuable to verify that the content, structure, and functions discussed in theory were of value and genuinely needed in practice and that the various device control elements were intuitive.ConclusionsThe nature of the paramedic work environment places specific demands on the communication options used and need for such devices. The active involvement of paramedics in the development process allowed us to understand and subsequently consider their experience-based knowledge. Software designers could understand the paramedics' work environment and consider respective needs in the menu navigation and design principles of the app. We argue that the development of any medical software product should actively involve both end users and developers in all phases of the development process. Providing the users with the opportunity to influence technology development ensures that the result is closer to their needs, which can be seen as crucial for successful implementation and sustainable use.Trial registrationGerman Clinical Trials Register DRKS00016719; https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00016719.International registered report identifier (irrid)RR2-10.1186/s12913-020-05098-5.

Project description:BackgroundLong-term care facilities (LCFs) in South Korea have limited knowledge of and capability to care for patients with delirium. They also often lack an electronic medical record system. These barriers hinder systematic approaches to delirium monitoring and intervention. Therefore, this study aims to develop a web-based app for delirium prevention in LCFs and analyse its feasibility and usability.MethodsThe app was developed based on the validity of the AI prediction model algorithm. A total of 173 participants were selected from LCFs to participate in a study to determine the predictive risk factors for delerium. The app was developed in five phases: (1) the identification of risk factors and preventive intervention strategies from a review of evidence-based literature, (2) the iterative design of the app and components of delirium prevention, (3) the development of a delirium prediction algorithm and cloud platform, (4) a pilot test and validation conducted with 33 patients living in a LCF, and (5) an evaluation of the usability and feasibility of the app, completed by nurses (Main users).ResultsA web-based app was developed to predict high risk of delirium and apply preventive interventions accordingly. Moreover, its validity, usability, and feasibility were confirmed after app development. By employing machine learning, the app can predict the degree of delirium risk and issue a warning alarm. Therefore, it can be used to support clinical decision-making, help initiate the assessment of delirium, and assist in applying preventive interventions.ConclusionsThis web-based app is evidence-based and can be easily mobilised to support care for patients with delirium in LCFs. This app can improve the recognition of delirium and predict the degree of delirium risk, thereby helping develop initiatives for delirium prevention and providing interventions. Moreover, this app can be extended to predict various risk factors of LCF and apply preventive interventions. Its use can ultimately improve patient safety and quality of care.

Project description:BackgroundInternet technologies can create advanced and rich web-based apps that allow radiologists to easily access teleradiology systems and remotely view medical images. However, each technology has its own drawbacks. It is difficult to balance the advantages and disadvantages of these internet technologies and identify an optimal solution for the development of medical imaging apps.ObjectiveThis study aimed to compare different internet platform technologies for remotely viewing radiological images and analyze their advantages and disadvantages.MethodsOracle Java, Adobe Flash, and HTML5 were each used to develop a comprehensive web-based medical imaging app that connected to a medical image server and provided several required functions for radiological interpretation (eg, navigation, magnification, windowing, and fly-through). Java-, Flash-, and HTML5-based medical imaging apps were tested on different operating systems over a local area network and a wide area network. Three computed tomography colonography data sets and 2 ordinary personal computers were used in the experiment.ResultsThe experimental results demonstrated that Java-, Flash-, and HTML5-based apps had the ability to provide real-time 2D functions. However, for 3D, performances differed between the 3 apps. The Java-based app had the highest frame rate of volume rendering. However, it required the longest time for surface rendering and failed to run surface rendering in macOS. The HTML5-based app had the fastest surface rendering and the highest speed for fly-through without platform dependence. Volume rendering, surface rendering, and fly-through performances of the Flash-based app were significantly worse than those of the other 2 apps.ConclusionsOracle Java, Adobe Flash, and HTML5 have individual strengths in the development of remote access medical imaging apps. However, HTML5 is a promising technology for remote viewing of radiological images and can provide excellent performance without requiring any plug-ins.