Differing Perceptions of Mobile Devices

Nurses Need Training and Policies to Address Barriers to Use of Mobile Devices and Apps for Direct Patient Care in Hospital Settings

The use of mobile devices is increasingly popular. Mobile devices are increasingly equipped with advanced hardware and software technology. With dynamic performance and practical on mobile devices can master the development of the world ICT industry (information and communication technology). Software has become one of the spearheads of mobile success device. The creation of application programs is an important breakthrough in mobile development device. Likewise, the development of the Polyclinic Mobile Application in lecturer research This beginner is to provide solutions to problems that exist at the polyclinic at environment of PT. Eka Sandang Duta Prima Semarang, which is not yet supported by ICT, so in providing health services to the community, workers who are less than optimal can resolved. In developing the Polyclinic Mobile Application, it is not only a registration feature only, but there are several other features that were developed such as; polyclinic profile, schedule practice, modern queuing system, recording medical records, view patient history, take notes medical action, noting the drug administered.

Purpose – This paper aims to identify systematic ways of linking club members’ behavioral and demographic characteristics to their use of mobile devices in clubs. While the traditional private club experience is characterized by intensive personalization and face-to-face interactions, clubs are increasingly deploying information technology (IT) tools to optimize some of their internal processes and offer a better value proposition to their members. Design/methodology/approach – Based on data from 737 actual club members from the USA, this research used a series of logistic regressions to reveal the manner in which a series of behavioral and demographic variables can be used to predict the likelihood of use of mobile devices in clubs for specific club-related tasks. Findings – This research revealed that there are differences between the two main types of clubs (i.e. golf/country and city/athletic), as well as differences among club members residing in different regions of the USA in the manner in which members use mobile devices for club-related tasks. Research limitations/implications – This research offers a number of notable theoretical contributions. This research uses actual mobile device use data from actual club members in the USA. In addition, this research offers a comprehensive operationalization of the actual mobile use behaviors in clubs, and offers a methodological blueprint for predicting mobile device user behavior using easily collectable variables. Practical implications – This research provides specific suggestions to pinpoint the mobile technology deployment in clubs according to behavioral and demographic profile criteria. Social implications – This research could lead to feasible segmentation procedures and explicates the increasing role of mobile devices within the contemporary society. Originality/value – This research addresses a novel research topic in an industry characterized by a grave lack of research on IT.

The increasing use of mobile devices among health sciences students presents both opportunities and challenges to problem-based learning (PBL) in face-to-face tutorials and during self-directed learning. The purpose of the present study was to find out how common the use of mobile devices is among students in PBL, how they are used, and whether some general recommendations can be made to help students make more effective use of mobile devices during PBL. Based on the findings of focus interviews of students and facilitators (Chan et al., 2015), the authors developed a self-administered online questionnaire to examine students’ usage of mobile devices in PBL. The students from three healthcare professional programmes in a university in Hong Kong were invited to take part in the online survey. A total of 346 students (response rate of 31.89 %) completed the online questionnaire. It was found that almost all of them (99 %) own one or more mobile devices. Most of them (98 %) used their mobile devices in PBL, usually for educational purposes, such as the search and synthesis of information and the use of specific software on these devices, especially those for the visualization of knowledge (like atlases or software for creation of concept maps). There was a small percentage of students who never used mobile devices in PBL. The reasons included the facilitators’ explicit discouragement of their use, and the desire to focus on the discussion instead of searching for information. Based on the findings of the survey, the authors arrived at four recommendations aiming at more effective use of mobile devices in PBL: students should be free to choose to use mobile devices; mobile devices should be used for educational purposes only, such as the search for factual information or multimedia files; PBL tutorial time should mostly be spent on discussion, instead of searching for information; students should be encouraged to use cloud-based services for collaborative activities such as note-making and concept mapping in PBL.

To examine the prevalence of mobility device use in U.S. community-dwelling older adults including older adults with cancer history ("survivors") and to estimate mobility disability noting variation by cancer history, cancer site, and other factors to improve early detection of mobility limitations. Cross-sectional analysis from the 2011 National Health and Aging Trends Study. In-person interviews in the homes of study participants. Nationally representative sample of community-dwelling Medicare beneficiaries, aged 65 and older (n = 6,080 including 1,203 survivors). Participants were asked about cancer history, pain that limited activity, mobility device use (eg, canes, walkers, wheelchairs, and scooters), history of falls, and medical conditions plus they were assessed for approximate mobility disability using a 3-m gait speed test. The results were scored on a scale of 0 to 4 (0 = lowest, 4 = highest) using criteria from the National Institute on Aging. A total of 19% of older adults and 23% of survivors reported using one or more mobility device, most commonly a single-point cane. Approximately 10% of breast, 6% of prostate, and 3% of colorectal cancer survivors reported using two or more devices in the past month. Survivors had lower mean gait speed scores (2.27) than adults without cancer history (2.39). In regression models, survivors were 18% less likely than adults without cancer history to score high on the gait speed test (odds ratio = .82; P < .05). Prior mobility device use, history of multiple falls, unhealthy weight, Black race, multimorbidity, and pain that limited activity were associated with lower gait speed scores in all participants (all P < .05). A greater proportion of older survivors used mobility devices than adults without cancer history. Mobility device use varied by cancer site and was highest in survivors of breast, colorectal, and gynecological cancer. Survivors were also more likely to show signs of mobility disability, based on gait speed, compared with adults without cancer history. These indications, although modest, suggest that older survivors may require special attention to functional changes in survivorship.

Mobility devices are crucial in enhancing activities and participation for individuals with mobility disability, particularly among the rapidly expanding population of older adults worldwide. This paper explores patterns of mobility device use among a nationally representative cohort of community-dwelling older adults in the United States, using data from the National Health and Aging Trends Study (NHATS) waves 1–9 (2011–2019). Our descriptive analysis focuses on the characteristics of incident mobility device use, its influencing factors, and related user experiences, aligning with the NHATS late-life disability framework. Mobility devices were categorized into walking aids (WAs), wheeled and seated mobility devices (WSMDs), and mixed use of both. We identified 2,943 incidents of mobility device use among 2,591 participants, spanning 47,722 person-years in community settings, yielding an incidence rate of 61.7 per 1,000 person-years. Over half (51.3%) of mobility device use ended in 1 year, with WAs being the predominantly used (63.8%). About one-third (30.5%) of these incidents involved a change in device combinations, with a notable shift towards WSMDs and mixed use over time. We found that older adults using WSMDs or changing their device combinations were in a more vulnerable state, while those using mixed devices or changing their device combinations experienced poorer user experiences. This study advocates for the implementation of rental and recycling programs, the involvement of NGOs and professional associations, and the adoption of flexible policies responding to the dynamic patterns of mobility device use among community-dwelling older adults. It also recommends expanding services to better serve vulnerable subgroups.

BackgroundHealth care provider usage of mobile devices is increasing globally; however, there is little understanding of patient perceptions on this behavior in a health care setting.ObjectiveThe aim of this study was to assess patients’ attitudes toward mobile device usage by health care providers in the emergency department and to identify predictors of these attitudes.MethodsThe study was carried out at the emergency department of a large academic tertiary care medical center in Lebanon. A cross-sectional survey design was adopted by administering a questionnaire to medically stable adult patients who presented to the emergency department with an emergency severity index of 3, 4, or 5 between January 2017 and March 2018. The questionnaire collected relevant patient demographic information and included questions related to their mobile device usage along with those evaluating attitudes for the use of mobile devices by health care providers with respect to six major domains: role in health care, distraction potential, impact on communication, empathy, privacy, and professionalism. The attitude toward mobile device usage by health care providers in the emergency department was the main outcome variable. A stepwise logistic regression model was used to assess the association between the outcome variable and the demographic and attitude-related independent variables.ResultsAmong the 438 eligible patients, 338 patients responded to the questionnaire for a response rate of 70.0%. Overall, 313/338 (92.6%) respondents agreed that mobile devices improve health care delivery, whereas 132/338 (39.1%) respondents were opposed to their usage by health care providers in the emergency department (95% CI: 34.0-44.4). The majority (240/338, 71.0%) of patients agreed that mobile devices are a source of distraction to health care providers in the workplace. Females (odds ratio [OR]=1.67, 95% CI: 1.00-2.78) as well as all patients (OR=2.54, 95% CI 1.36-4.76) who believed that mobile devices were a source of distraction, reflecting a lack of professionalism (OR=2.77, 95% CI 1.59-4.82) and impacting the provider’s ability to relate to the patient (OR=2.93, 95% CI 1.72-4.99), were more likely to agree that mobile devices should not be used in the emergency department.ConclusionsPatients’ negative attitude toward mobile device use in the emergency department is largely driven by patient gender (females), patient perception of the distraction potential of the devices, and their negative impact on the health care provider’s empathy and professionalism. The findings of this study shed light on the importance of encouraging stakeholders to impose a digital professionalism code of conduct for providers working in acute health care settings.

The rapid evolution in mobile devices and communication technology has increased the number of mobile device users dramatically. The mobile device has replaced many other devices and is used to perform many tasks ranging from establishing a phone call to performing critical and sensitive tasks like money payments. Since the mobile device is accompanying a person most of his time, it is highly probably that it includes personal and sensitive data for that person. The increased use of mobile devices in daily life made mobile systems an excellent target for attacks. One of the most important attacks is phishing attack in which an attacker tries to get the credential of the victim and impersonate him. In this paper, analysis of different types of phishing attacks on mobile devices is provided. Mitigation techniques - anti-phishing techniques - are also analyzed. Assessment of each technique and a summary of its advantages and disadvantages is provided. At the end, important steps to guard against phishing attacks are provided. The aim of the work is to put phishing attacks on mobile systems in light, and to make people aware of these attacks and how to avoid them

Through the advancement of mobile technology and their increasing affordability, mobile devices have transformed from a means of communication to tools for socialization, entertainment, work, and learning. The purpose of this mixed-methods study was to investigate how undergraduate students are using mobile devices for learning both inside and outside the classroom and how actual student use compares to faculty perceptions of student use. Faculty and student perceptions regarding the impact that the use of mobile devices would have on student learning, participation and engagement were also examined. Finally, the study explored the potential for adoption of mobile device use in the classroom. Data were collected through a survey administered to university faculty and undergraduate students and through interviews conducted with representative samples from both groups. Results suggest that faculty perceptions about student use do not match actual student use of mobile devices. While faculty believe students are primarily using mobile devices to socialize, students report that they are performing a wide variety of educational tasks. Although some instructors ban the use of mobile devices in the classroom and prefer mobile learning to remain outside the classroom, students believe that a more formal use both inside and outside the classroom could be beneficial. Students seem more ready to adopt the use of mobile devices for learning while faculty are concerned that devices may be distracting and limiting.

Usefulness of Mobile Devices in Learning Process for Residents of Pediatric Surgical Specialties

Child mobile device use is increasingly prevalent, but research is limited by parent-report survey methods that may not capture the complex ways devices are used. We aimed to implement mobile device sampling, a set of novel methods for objectively measuring child mobile device use. We recruited 346 English-speaking parents and guardians of children aged 3 to 5 years to take part in a prospective cohort study of child media use. All interactions with participants were through e-mail, online surveys, and mobile device sampling; we used a passive-sensing application (Chronicle) in Android devices and screenshots of the battery feature in iOS devices. Baseline data were analyzed to describe usage behaviors and compare sampling output with parent-reported duration of use. The sample comprised 126 Android users (35 tablets, 91 smartphones) and 220 iOS users (143 tablets, 77 smartphones); 35.0% of children had their own device. The most commonly used applications were YouTube, YouTube Kids, Internet browser, quick search or Siri, and streaming video services. Average daily usage among the 121 children with their own device was 115.3 minutes/day (SD 115.1; range 0.20-632.5) and was similar between Android and iOS devices. Compared with mobile device sampling output, most parents underestimated (35.7%) or overestimated (34.8%) their child's use. Mobile device sampling is an unobtrusive and accurate method for assessing mobile device use. Parent-reported duration of mobile device use in young children has low accuracy, and use of objective measures is needed in future research.

Today, use of mobile devices is very common by everyone, including the farmers. Introduction of Information and Communication Technologies (ICT) has seen a keen role in daily life of farmers. Earlier, farmers used to depend on clouds for rains were looking into the Cloud Computing (CC) for their solutions towards cultivation of better crops in modern agricultural world. The conventional methods used by the farmers, particularly in India, are very slow and unreliable. The crops are damaged in field itself due to disease attacks and lack of information resources. This loss grows more than 40% in total annually. This paper proposes various ways in which a farmer can utilize MCC on their handsets using application called AgroMobile, to assist them for relatively better cultivation and marketing. The main attention of this work is focused on crop image analysis. Image processing techniques requires large amount of computation power and memory to process for which a mobile devices fails. Hence, this framework uses MCC, which in effect, these authors believe that, puts cloud into a farmer's pocket. The experimental setup uses tools like OpenNebula 2.0, and MATLAB 2012b. In this research an Android based mobile devices are used for testing but this is not the only device.

Statement of the problem. In the context of digitalization of education, the main prerequisite is creation of a digital educational environment that opens up new opportunities: learning at any convenient time, continuous education, the ability to design individual educational routes, transfer from digital resource consumers to digital resource creators. Various digital educational resources, distance learning platforms, cloud technologies, and the use of mobile devices help realize these opportunities. The pedagogical community is developing modern formats to introduce mobile devices into the educational process. Mobile technologies arouse students’ increased motivation and interest in learning, help expand the horizons of knowledge acquisition and build an individual learning roadmap – all this leads to the improved quality of education. Today we see the need to introduce mobile technologies into the educational process and at the same time we see insufficient knowledge about the didactic potential of using mobile devices and services in the learning process, as well as issues of training personnel for organizing mobile learning for schoolchildren. The purpose of the article is to determine the content and structure of future mathematics teachers’ preparedness to organize mobile learning for schoolchildren. Methodology (materials and methods) includes analysis and synthesis of the works of Russian and foreign researchers on the problem under study, as well as the experience of training teachers in the field of information and communication technologies. Research results. An essential prerequisite for the performance effectiveness is the person’s preparedness for its implementation. In this study, we examined the preparedness of future mathematics teachers to organize schoolchildren’s mobile learning as a personality education that has a systemic, complex structure and acts as a set of motivational, personal, theoretical, activity-related and reflective components. In the structure of the activity component, we identified three levels of preparedness of future mathematics teachers to organize schoolchildren’s mobile learning (basic, creative, and professional). Conclusion. The maturity of these components helps future teachers of mathematics to organize schoolchildren’ mobile learning in line with the requirements of modern education, thereby preparing the younger generation for study, life, and work in a dynamically changing world.

An exploration of the navigational behaviours of people who use wheeled mobility devices in unfamiliar pedestrian environments

Mobile devices have become an inherent part of the life of almost every individual. Their types range from classic button phones to smart glasses and their use depends on the type of user. Generally, the users can be divided into two groups: digital natives who literally grow with them from their birth and digital immigrants who find it difficult to use digital technology. The purpose of this article is to explore the issue of user preferences of both groups for selected mobile devices with special focus on older generation groups. The methodology of this study was based on a questionnaire survey. The results of this survey show that users prefer smartphones and classic button phones to laptops or tablets or other mobile devices. Furthermore, the results reveal that on the male/female axis, ownership and use of mobile devices do not differ significantly. Significant differences are the age limit of 65 years. By this age, almost all respondents own some mobile devices. Younger and middle generation uses mobile devices on a daily basis. All respondents aged under 65 agree that mobile devices have improved their quality of life, while the adults at the age of 65+ years disagree in this respect. Future research should further monitor the trends in the use of mobile devices across generations, but especially among the older generation groups.