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Fulltext Design suggestions for an mHealth app to facilitate communication between pharmacists and the Deaf: perspective of the Deaf community (HEARD Project)

Jacob SA, Chong EY, Goh SL, Palanisamy UD

Mhealth, 2021;7:29.
PMID: 33898598 DOI: 10.21037/mhealth.2020.01.04

Background: Deaf and hard-of-hearing (DHH) patients have trouble communicating with community pharmacists and accessing the healthcare system. This study explored the views on a proposed mobile health (mHealth) app in terms of design and features, that will be able to bridge the communication gap between community pharmacists and DHH patients.
Methods: A community-based participatory research method was utilized. Two focus group discussions (FGDs) were conducted in Malaysian sign language (BIM) with a total of 10 DHH individuals. Respondents were recruited using purposive sampling. Video-recordings were transcribed and analyzed using a thematic approach.
Results: Two themes emerged: (I) challenges and scepticism of the healthcare system; and (II) features of the mHealth app. Respondents expressed fears and concerns about accessing healthcare services, and stressed on the need for sign language interpreters. There were also concerns about data privacy and security. With regard to app features, the majority preferred videos instead of text to convey information about their disease and medication, due to their lower literacy levels.
Conclusions: For an mHealth app to be effective, app designers must ensure the app is individualised according to the cultural and linguistic diversity of the target audience. Pharmacists should also educate patients on the potential benefits of the app in terms of assisting patients with their medicine-taking.

Matched MeSH terms: Mobile Applications
Fulltext VESSEL LIFE JACKET COMPATIBILITY MOBILE APPS FOR SAFETY ASSESSMENT

MUHAMMAD SYUKRI HANAFI BASRI, MOHAMMAD AIZAT BASIR, AHMAD FAIZAL AHMAD FUAD

UMT Journal of Undergraduate Research, 2020;2(2):83-92.
MyJurnal

Life jacket is one of the safety appliances that can be found on the ship that provide buoyancy and prevention against drowning. Before the ship can sail, every element of safety of the vessel should be confirmed. Despite the establishment of standards for life jacket, both local and international, there have been cases of drowning associated with the usage of life jackets by the passengers of passenger boat/vessels for open-deck situation. Moreover, deficiency of information on safety instruction is reason the passengers are lack of personal safety information during on board. Thus, the evaluation on safety standard of life jackets and passenger vessel are vital for assessing the provision of the life jacket on board passenger vessel with respect to compatibility between life jacket and passenger vessel. In this paper, A Vessel Life Jacket Compatibility Mobile Apps (VELIT) was developed using software development methodology called Rational Unified Process (RUP) to automate the safety assessment process based on model called LCI (Life Jacket Compatibility Index). VELIT apps synchronized the safety assessment aspect and which allow user to compute the element in the model and produce the result of the safety assessment in real time. The VELIT apps are expected to be used in maritime area especially for ship safety assessment process.

Matched MeSH terms: Mobile Applications
PesTrapp mobile app: A trap setting application for real-time entomological field and laboratory study

Cheong YL, Rosilawati R, Mohd-Khairuddin CI, Siti-Futri FF, Nur-Ayuni N, Lim KH, et al.

Trop Biomed, 2021 Jun 01;38(2):171-179.
PMID: 34172707 DOI: 10.47665/tb.38.2.054

Diseases such as malaria, dengue, Zika and chikungunya remain endemic in many countries. Setting and deploying traps to capture the host/vector species are fundamental to understand their density and distributions. Human effort to manage the trap data accurately and timely is an exhaustive endeavour when the study area expands and period prolongs. One stop mobile app to manage and monitor the process of targeted species trapping, from field to laboratory level is still scarce. Toward this end, we developed a new mobile app named "PesTrapp" to acquire the vector density index based on the mobile updates of ovitraps and species information in field and laboratory. This study aimed to highlight the mobile app's development and design, elucidate the practical user experiences of using the app and evaluate the preliminary user assessment of the mobile app. The mobile app was developed using mobile framework and database. User evaluation of the mobile app was based on the adjusted Mobile App Rating Scale and Standardized User Experience Percentile Rank Questionnaire. The process flows of system design and detailed screen layouts were described. The user experiences with and without the app in a project to study Aedes surveillance in six study sites in Selangor, Malaysia were elucidated. The overall mean user evaluation score of the mobile app was 4.0 out of 5 (SD=0.6), reflects its acceptability of the users. The PesTrapp, a one-stop solution, is anticipated to improve the entomological surveillance work processes. This new mobile app can contribute as a tool in the vector control countermeasure strategies.

Matched MeSH terms: Mobile Applications*
Fulltext The EMPOWER-SUSTAIN e-Health Intervention to improve patient activation and self-management behaviours among individuals with metabolic syndrome in primary care: study protocol for a pilot randomised controlled trial

Daud MH, Ramli AS, Abdul-Razak S, Isa MR, Yusoff FH, Baharudin N, et al.

Trials, 2020 Apr 05;21(1):311.
PMID: 32248825 DOI: 10.1186/s13063-020-04237-x

BACKGROUND: Epidemiological studies conducted in various parts of the world have clearly demonstrated that metabolic syndrome (MetS) is an increasing global health problem, not only in Western societies but also in Asian populations. Web-based and mobile phone-based self-management applications have been proven to be effective in improving self-management behaviour of patients with MetS components (i.e., diabetes or hypertension). However, evidence is lacking in terms of their effectiveness specifically for patients with MetS. The aim of this pilot study is to evaluate the feasibility and potential effectiveness of the EMPOWER-SUSTAIN Self-Management e-Health Intervention in improving activation and self-management behaviours among patients with MetS. This paper presents the study protocol.

METHODS: A pilot randomised controlled trial will be conducted in a university primary care clinic. A total of 232 patients aged 18-60 years with MetS will be recruited; 116 will be randomised to receive the EMPOWER-SUSTAIN intervention for 6 months, and another 116 patients will continue with usual care. The EMPOWER-SUSTAIN intervention is a multifaceted chronic disease management strategy based on the Chronic Care Model and persuasive technology theory. It consists of training primary care physicians, nurses and patients to use the EMPOWER-SUSTAIN web-based self-management mobile app, strengthening the patient-physician relationship and reinforcing the use of relevant clinical practice guidelines to guide management and prescribing. The primary outcome is the mean change in patient activation score using the Patient Activation Measure short form Malay version (PAM-13-M) questionnaire. The secondary outcomes include the changes in waist circumference, body mass index, blood pressure, patient physical activity level, eating behaviour, perception of chronic illness care, satisfaction with patient-physician interaction, and perceived absolute 10-year cardiovascular disease risk. Feasibility of implementing the intervention will be evaluated. This includes acceptability of the intervention, estimating the likely rate of participant recruitment and retention, appropriateness of the outcome measures, calculation of sample size, and the intervention's potential effectiveness.

CONCLUSION: To our knowledge, this is the first study in Malaysia that aims to determine the feasibility of a multifaceted e-health intervention, as well as to indicate more useful aspects of this intervention for further exploration in a larger trial.

TRIAL REGISTRATION: ClinicalTrials.gov, NCT04120779. Registered on 9 October 2019, protocol version 1.

Matched MeSH terms: Mobile Applications
Fulltext A complex behavioural change intervention to reduce the risk of diabetes and prediabetes in the pre-conception period in Malaysia: study protocol for a randomised controlled trial

Skau JK, Nordin AB, Cheah JC, Ali R, Zainal R, Aris T, et al.

Trials, 2016;17(1):215.
PMID: 27117703 DOI: 10.1186/s13063-016-1345-x

Over the past two decades, the population of Malaysia has grown rapidly and the prevalence of diabetes mellitus in Malaysia has dramatically increased, along with the frequency of obesity, hyperlipidaemia and hypertension. Early-life influences play an important role in the development of non-communicable diseases. Indeed, maternal lifestyle and conditions such as gestational diabetes mellitus or obesity can affect the risk of diabetes in the next generation. Lifestyle changes can help to prevent the development of type 2 diabetes mellitus. This is a protocol for an unblinded, community-based, randomised controlled trial in two arms to evaluate the efficacy of a complex behavioural change intervention, combining motivational interviewing provided by a community health promoter and access to a habit formation mobile application, among young Malaysian women and their spouses prior to pregnancy.

Matched MeSH terms: Mobile Applications*
Mobile Health Applications for Pediatric Care: Review and Comparison

Morse SS, Murugiah MK, Soh YC, Wong TW, Ming LC

Ther Innov Regul Sci, 2018 05;52(3):383-391.
PMID: 29714538 DOI: 10.1177/2168479017725557

BACKGROUND: Despite the surge in mobile health (mHealth) applications (apps) about pediatric care in commercial app stores, to our knowledge, reviews of the quality of such apps are lacking. Consequently, it is a great challenge for health care professionals (HCPs) to identify appropriate and reliable mHealth apps for delivering health care services. Thus, we performed a structured review of the extant literature about mHealth apps in pediatric care and quality assessment of selected apps found in commercial app stores.
METHODS: A review and comparison of mHealth apps in pediatric care found in Google's Play Store (Android system) and Apple's App Store (iOS system) were performed. For the structured review of the available literature, Google Scholar, PubMed, IEEE Xplore Digital Library, and Science Direct online databases were used for the literature search. The assessment criteria used for comparison included requirement for Internet connection, size of application, information on disease, diagnostic tools, medical calculator, information on disease treatments, dosage recommendations, and drug interaction checker.
RESULTS: Fifty mHealth apps for general pediatric care and 8 mHealth apps for specific pediatric diseases were discussed in the literature. Of the 90 mHealth apps we reviewed, 27 that fulfilled the study criteria were selected for quality assessment. Medscape, Skyscape, and iGuideline scored the highest (score=7), while PediaBP scored the lowest (score=3).
CONCLUSIONS: Medscape, Skyscape, and iGuideline are the most comprehensive mHealth apps for HCPs as quick references for pediatric care. More studies about mHealth apps in pediatric care are warranted to ensure the quality and reliability of mHealth apps.

Matched MeSH terms: Mobile Applications/standards*
Mobile Health Applications for Caring of Older People: Review and Comparison

Anthony Berauk VL, Murugiah MK, Soh YC, Chuan Sheng Y, Wong TW, Ming LC

Ther Innov Regul Sci, 2018 05;52(3):374-382.
PMID: 29714532 DOI: 10.1177/2168479017725556

BACKGROUND: Mobile devices and applications (apps) that act as access tools for health care management aid in the improvement of clinical decision making and patient outcomes. However, the tremendous amount of mobile health (mHealth) apps available in commercial app stores makes it hard for the lay users as well as health care professionals to choose the right one for their individual needs. The contents and features of these apps have not been systematically reviewed and compared. This study aims to assess the contents and features of mHealth apps for caring of older people.
METHODS: A review and comparison of mHealth apps for caring of older people available in Google's Play Store (Android system) and Apple's App Store (iOS system) were performed. Systematic review of previous relevant literature were conducted. The assessment criteria used for comparison were requirement for Internet connection, information of disease, size of app, diagnostics and assessment tools, medical calculator, dosage recommendations and indications, clinical updates, drugs interaction checker, and information on disease management.
RESULTS: Twenty-five mHealth apps were assessed. Medscape and Skyscape Medical Library are the most comprehensive mHealth apps for general drug information, medical references, clinical score, and medical calculator. Alzheimer's Disease Pocketcard and Confusion: Delirium & Dementia: A Bedside Guide apps are recommended for clinical assessment, diagnosis, drug information, and management of geriatric patients with Alzheimer disease, delirium, and dementia.
CONCLUSIONS: More studies about mHealth apps for caring of older people are warranted to ensure the quality and reliability of the mHealth apps.

Matched MeSH terms: Mobile Applications/standards*
Fulltext A new sensors-based covert channel on android

Al-Haiqi A, Ismail M, Nordin R

ScientificWorldJournal, 2014;2014:969628.
PMID: 25295311 DOI: 10.1155/2014/969628

Covert channels are not new in computing systems, and have been studied since their first definition four decades ago. New platforms invoke thorough investigations to assess their security. Now is the time for Android platform to analyze its security model, in particular the two key principles: process-isolation and the permissions system. Aside from all sorts of malware, one threat proved intractable by current protection solutions, that is, collusion attacks involving two applications communicating over covert channels. Still no universal solution can countermeasure this sort of attack unless the covert channels are known. This paper is an attempt to reveal a new covert channel, not only being specific to smartphones, but also exploiting an unusual resource as a vehicle to carry covert information: sensors data. Accelerometers generate signals that reflect user motions, and malware applications can apparently only read their data. However, if the vibration motor on the device is used properly, programmatically produced vibration patterns can encode stolen data and hence an application can cause discernible effects on acceleration data to be received and decoded by another application. Our evaluations confirmed a real threat where strings of tens of characters could be transmitted errorless if the throughput is reduced to around 2.5-5 bps. The proposed covert channel is very stealthy as no unusual permissions are required and there is no explicit communication between the colluding applications.

Matched MeSH terms: Mobile Applications/trends*
Development and validation of a new vision screening test algorithm for public use mobile application- A pilot study

Siti Nor Aishah AR, Mutalib A, Asma H, Baig AA, Naing NN, Hashim SE, et al.

Med J Malaysia, 2020 11;75(6):685-690.
PMID: 33219178

OBJECTIVES: To design and develop a simple vision test algorithm for mobile application and perform a pilot study to determine its validity and reliability as a tool for vision test in the community.
METHODS: A simple visual acuity test algorithm in the form of a single letter E display was designed as the optotype for development of a mobile application. The standardised optotype is presented at random to test visual acuity for corresponding level of 3/60, 6/60, 6/18, and 6/12. The final result is auto-generated based on the classification of the WHO for visual impairment and blindness. The Snellen chart was used as the gold standard to determine its validity while five different users were involved to determine its inter-rater reliability. A pilot study was performed between April till November 2019, in the Universiti Sultan Zainal Abidin Medical Centre (UMC) at Kuala Nerus and Mooris Optometrist Centre at Marang, Terengganu. A total of 279 participants aged four years old and above were involved in this study.
RESULTS: The highest sensitivity was found at the vision level cut-off point of 6/12 with the percentage of 92.7% and 86.8% for the right and left eye, respectively. The specificity was more than 89% for all vision levels in both eyes. The Krippendorff's alpha value for the inter-rater reliability was 0.87 and 0.83.
CONCLUSION: The relatively high level of validity and reliability obtained indicate the feasibility of using the designed optotype to develop a valid and reliable mobile app for vision test. The app can be used to screen vision by nonmedical persons, at anytime and anywhere to help improve public awareness and capability to correctly determine their visual status.

Matched MeSH terms: Mobile Applications
Smartphone electrocardiogram for QT interval monitoring in Coronavirus Disease 2019 (COVID-19) patients treated with Hydroxychloroquine

Andy Ko TY, Chen LS, Pang IX, Ling HS, Wong TC, Sia Tonnii LL, et al.

Med J Malaysia, 2021 03;76(2):125-130.
PMID: 33742617

INTRODUCTION: The global pandemic of Corona Virus Disease 2019 (COVID-19) has led to the re-purposing of medications, such as hydroxychloroquine and lopinavir-ritonavir in the treatment of the earlier phase of COVID-19 before the recognized benefit of steroids and antiviral. We aim to explore the corrected QT (QTc) interval and 'torsadogenic' potential of hydroxychloroquine and lopinavir-ritonavir utilising a combination of smartphone electrocardiogram and 12-lead electrocardiogram monitoring.
MATERIALS AND METHODS: Between 16-April-2020 to 30-April- 2020, patients with suspected or confirmed for COVID-19 indicated for in-patient treatment with hydroxychloroquine with or without lopinavir-ritonavir to the Sarawak General Hospital were monitored with KardiaMobile smartphone electrocardiogram (AliveCor®, Mountain View, CA) or standard 12-lead electrocardiogram. The baseline and serial QTc intervals were monitored till the last dose of medications or until the normalization of the QTc interval.
RESULTS: Thirty patients were treated with hydroxychloroquine, and 20 (66.7%) patients received a combination of hydroxychloroquine and lopinavir-ritonavir therapy. The maximum QTc interval was significantly prolonged compared to baseline (434.6±28.2msec vs. 458.6±47.1msec, p=0.001). The maximum QTc interval (456.1±45.7msec vs. 464.6±45.2msec, p=0.635) and the delta QTc (32.6±38.5msec vs. 26.3±35.8msec, p=0.658) were not significantly different between patients on hydroxychloroquine or a combination of hydroxychloroquine and lopinavir-ritonavir. Five (16.7%) patients had QTc of 500msec or more. Four (13.3%) patients required discontinuation of hydroxychloroquine and 3 (10.0%) patients required discontinuation of lopinavirritonavir due to QTc prolongation. However, no torsade de pointes was observed.
CONCLUSIONS: QTc monitoring using smartphone electrocardiogram was feasible in COVID-19 patients treated with hydroxychloroquine with or without lopinavir-ritonavir. The usage of hydroxychloroquine and lopinavir-ritonavir resulted in QTc prolongation, but no torsade de pointes or arrhythmogenic death was observed.

Matched MeSH terms: Mobile Applications
m-Health for Early Detection of Oral Cancer in Low- and Middle-Income Countries

Haron N, Zain RB, Ramanathan A, Abraham MT, Liew CS, Ng KG, et al.

Telemed J E Health, 2020 03;26(3):278-285.
PMID: 31081720 DOI: 10.1089/tmj.2018.0285

Background:
Up to 86% of oral cancer (OC) patients present at the late stage where survival is dismal. Limited access to specialist diagnosis is a significant factor for late presentation. The increasing use of smartphones presents an opportunity to use digital technology to facilitate early detection of OC.
Aim:
To evaluate the feasibility of using Mobile Mouth Screening Anywhere (MeMoSA®) to facilitate early detection of OC.
Methods:
A mobile phone app named MeMoSA was developed and the feasibility of integrating this for documentation of oral lesions, and communication between dentists and specialists for management decisions were evaluated. The experience of dentists and specialists in using MeMoSA was determined using qualitative questionnaires.
Results:
Communication between specialist and dentists using MeMoSA stratified cases and streamlined referral of patients. Twelve of 48 patients were found to have oral lesions or signs suspicious of cancer and 3 required referrals. The patient's compliance for referral was tracked with MeMoSA. All dentists agreed that MeMoSA could facilitate early detection of OC and believed that MeMoSA could assist in the identification of oral mucosal lesions through direct communication with specialists and continuous learning in the recognition of high-risk lesions.
Conclusions:
MeMoSA has the potential to be used to promote equitable health care and streamline patient management that could result in early detection of OC.

Matched MeSH terms: Mobile Applications*
5-Minutes Mindfulness for palliative care: Integrating evidence and good design

Zhang MWB, Ho RCM, Ng CG

Technol Health Care, 2017 Dec 04;25(6):1173-1176.
PMID: 28946598 DOI: 10.3233/THC-170868

In psychiatry, mindfulness based intervention has been increasingly popular as a means of psychosocial intervention over the last decade. With the alvanche of technological advances, there has been a myriad of mindfulness based applications. Recent reviews have highlighted how these applications are lacking in functionalities and without demonstrated efficacy. Other reviews have emphasized that there is a need to take into consideration the design of an application, due to placebo effects. It is the aim of this technical note to illustrate how the 5-Minutes Mindfulness application, which is an application designed to provide mindfulness exercises to relieve distress and suffering amongst palliative patients, have been conceptualized. The conceptualized application builds on previous evidence of the efficacy of 5-Minutes Mindfulness demonstrated by pilot and randomized trials. In terms of design, the currently conceptualized application has been designed such that placebo effects could be controlled for.

Matched MeSH terms: Mobile Applications*
Fulltext Multibeam Characteristics of a Negative Refractive Index Shaped Lens

Hamid SA, Rahman NHA, Yamada Y, Hung PV, Quoc DN

Sensors (Basel), 2020 Oct 07;20(19).
PMID: 33036419 DOI: 10.3390/s20195703

Narrow beam width, higher gain and multibeam characteristics are demanded in 5G technology. Array antennas that are utilized in the existing mobile base stations have many drawbacks when operating at upper 5G frequency bands. For example, due to the high frequency operation, the antenna elements become smaller and thus, in order to provide higher gain, more antenna elements and arrays are required, which will cause the feeding network design to be more complex. The lens antenna is one of the potential candidates to replace the current structure in mobile base station. Therefore, a negative refractive index shaped lens is proposed to provide high gain and narrow beamwidth using energy conservation and Abbe's sine principle. The aim of this study is to investigate the multibeam characteristics of a negative refractive index shaped lens in mobile base station applications. In this paper, the feed positions for the multibeam are selected on the circle from the center of the lens and the accuracy of the feed position is validated through Electromagnetic (EM) simulation. Based on the analysis performed in this study, a negative refractive index shaped lens with a smaller radius and slender lens than the conventional lens is designed, with the additional capability of performing wide-angle beam scanning.

Matched MeSH terms: Mobile Applications
Fulltext Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology

Yang M, Al Mamun A, Gao J, Rahman MK, Salameh AA, Alam SS

Sci Rep, 2024 Jan 03;14(1):339.
PMID: 38172184 DOI: 10.1038/s41598-023-50436-2

Addressing the growing popularity of mobile health (m-Health) technology in the health industry, the current study examined consumers' intention and behaviour related to the usage of digital applications based on the unified theory of acceptance and use of technology (UTAUT). In particular, this study quantitatively assessed the moderating role of perceived product value and mediating role of intention to use m-Health application among Indonesians. This study adopted a cross-sectional design and collected quantitative data from conveniently selected respondents through an online survey, which involved 2068 Telegram users in Indonesia. All data were subjected to the analysis of partial least square- structural equation modeling (PLS-SEM). The obtained results demonstrated the moderating effect of perceived product value on the relationship between intention to use m-Health application (m-health app) and actual usage of m-Health app and the mediating effects of intention to use m-Health app on the relationships of perceived critical mass, perceived usefulness, perceived convenience, perceived technology accuracy, and perceived privacy protection on actual usage of m-Health app. However, the intention to use m-Health app did not mediate the influence of health consciousness and health motivation on the actual usage of m-Health app. Overall, this study's findings on the significance of intention to use m-Health app and perceived product value based on the UTAUT framework serve as insightful guideline to expand the usage of m-Health app among consumers.

Matched MeSH terms: Mobile Applications*
Fulltext A lightweight distributed framework for computational offloading in mobile cloud computing

Shiraz M, Gani A, Ahmad RW, Adeel Ali Shah S, Karim A, Rahman ZA

PLoS One, 2014;9(8):e102270.
PMID: 25127245 DOI: 10.1371/journal.pone.0102270

The latest developments in mobile computing technology have enabled intensive applications on the modern Smartphones. However, such applications are still constrained by limitations in processing potentials, storage capacity and battery lifetime of the Smart Mobile Devices (SMDs). Therefore, Mobile Cloud Computing (MCC) leverages the application processing services of computational clouds for mitigating resources limitations in SMDs. Currently, a number of computational offloading frameworks are proposed for MCC wherein the intensive components of the application are outsourced to computational clouds. Nevertheless, such frameworks focus on runtime partitioning of the application for computational offloading, which is time consuming and resources intensive. The resource constraint nature of SMDs require lightweight procedures for leveraging computational clouds. Therefore, this paper presents a lightweight framework which focuses on minimizing additional resources utilization in computational offloading for MCC. The framework employs features of centralized monitoring, high availability and on demand access services of computational clouds for computational offloading. As a result, the turnaround time and execution cost of the application are reduced. The framework is evaluated by testing prototype application in the real MCC environment. The lightweight nature of the proposed framework is validated by employing computational offloading for the proposed framework and the latest existing frameworks. Analysis shows that by employing the proposed framework for computational offloading, the size of data transmission is reduced by 91%, energy consumption cost is minimized by 81% and turnaround time of the application is decreased by 83.5% as compared to the existing offloading frameworks. Hence, the proposed framework minimizes additional resources utilization and therefore offers lightweight solution for computational offloading in MCC.

Matched MeSH terms: Mobile Applications*
Fulltext Windows Instant Messaging App Forensics: Facebook and Skype as Case Studies

Yang TY, Dehghantanha A, Choo KK, Muda Z

PLoS One, 2016;11(3):e0150300.
PMID: 26982207 DOI: 10.1371/journal.pone.0150300

Instant messaging (IM) has changed the way people communicate with each other. However, the interactive and instant nature of these applications (apps) made them an attractive choice for malicious cyber activities such as phishing. The forensic examination of IM apps for modern Windows 8.1 (or later) has been largely unexplored, as the platform is relatively new. In this paper, we seek to determine the data remnants from the use of two popular Windows Store application software for instant messaging, namely Facebook and Skype on a Windows 8.1 client machine. This research contributes to an in-depth understanding of the types of terrestrial artefacts that are likely to remain after the use of instant messaging services and application software on a contemporary Windows operating system. Potential artefacts detected during the research include data relating to the installation or uninstallation of the instant messaging application software, log-in and log-off information, contact lists, conversations, and transferred files.

Matched MeSH terms: Mobile Applications*
Fulltext Measuring student motivation on the use of a mobile assisted grammar learning tool

Refat N, Kassim H, Rahman MA, Razali RB

PLoS One, 2020;15(8):e0236862.
PMID: 32857762 DOI: 10.1371/journal.pone.0236862

Language learning is an emerging research area where researchers have done significant contributions by incorporating technological assistantship (i.e., computer- and mobile-assistant learning). However, it has been revealed from the recent empirical studies that little attention is given on grammar learning with the proper instructional materials design and the motivational framework for designing an efficient mobile-assisted grammar learning tool. This paper hence, reports a preliminary study that investigated learner motivation when a mobile-assisted tool for tense learning was used. This study applied the Attention-Relevance-Confidence-Satisfaction (ARCS) model. It was hypothesized that with the use of the designed mobile- assisted tense learning tool students would be motivated to learn grammar (English tense). In addition, with the increase of motivation, performance outcome in paper- based test would also be improved. With the purpose to investigate the impact of the tool, a sequential mixed-method research design was employed with the use of three research instruments; Instructional Materials Motivation Survey (IMMS), a paper-based test and an interview protocol using a semi-structured interview. Participants were 115 undergraduate students, who were enrolled in a remedial English course. The findings showed that with the effective design of instructional materials, students were motivated to learn grammar, where they were positive at improving their attitude towards learning (male 86%, female 80%). The IMMS findings revealed that students' motivation increased after using the tool. Moreover, students improved their performance level that was revealed from the outcome of paper-based instrument. Therefore, it is confirmed that the study contributed to designing an effective multimedia based instructions for a mobile-assisted tool that increased learners' motivational attitude which resulted in an improved learning performance.

Matched MeSH terms: Mobile Applications
Fulltext What do men want from a health screening mobile app? A qualitative study

Teo CH, Ng CJ, White A

PLoS One, 2017;12(1):e0169435.
PMID: 28060953 DOI: 10.1371/journal.pone.0169435

There is a lack of mobile app which aims to improve health screening uptake developed for men. As part of the study to develop an effective mobile app to increase health screening uptake in men, we conducted a needs assessment to find out what do men want from a health screening mobile app. In-depth interviews and focus group discussions were conducted with 31 men from a banking institution in Kuala Lumpur. The participants were purposely sampled according to their job position, age, ethnicity and screening status. The recruitment was stopped once data saturation was achieved. The audio-recorded interviews were transcribed verbatim and analyzed using thematic approach. Three themes emerged from the analysis and they were: content, feature and dissemination. In terms of the content, men wanted the app to provide information regarding health screening and functions that can assess their health; which must be personalized to them and are trustable. The app must have user-friendly features in terms of information delivery, ease of use, attention allocation and social connectivity. For dissemination, men proposed that advertisements, recommendations by health professionals, providing incentive and integrating the app as into existing systems may help to increase the dissemination of the app. This study identified important factors that need to be considered when developing a mobile app to improve health screening uptake. Future studies on mobile app development should elicit users' preference and need in terms of its content, features and dissemination strategies to improve the acceptability and the chance of successful implementation.

Matched MeSH terms: Mobile Applications
Fulltext Detecting opinion spams through supervised boosting approach

Hazim M, Anuar NB, Ab Razak MF, Abdullah NA

PLoS One, 2018;13(6):e0198884.
PMID: 29889897 DOI: 10.1371/journal.pone.0198884

Product reviews are the individual's opinions, judgement or belief about a certain product or service provided by certain companies. Such reviews serve as guides for these companies to plan and monitor their business ventures in terms of increasing productivity or enhancing their product/service qualities. Product reviews can also increase business profits by convincing future customers about the products which they have interest in. In the mobile application marketplace such as Google Playstore, reviews and star ratings are used as indicators of the application quality. However, among all these reviews, hereby also known as opinions, spams also exist, to disrupt the online business balance. Previous studies used the time series and neural network approach (which require a lot of computational power) to detect these opinion spams. However, the detection performance can be restricted in terms of accuracy because the approach focusses on basic, discrete and document level features only thereby, projecting little statistical relationships. Aiming to improve the detection of opinion spams in mobile application marketplace, this study proposes using statistical based features that are modelled through the supervised boosting approach such as the Extreme Gradient Boost (XGBoost) and the Generalized Boosted Regression Model (GBM) to evaluate two multilingual datasets (i.e. English and Malay language). From the evaluation done, it was found that the XGBoost is most suitable for detecting opinion spams in the English dataset while the GBM Gaussian is most suitable for the Malay dataset. The comparative analysis also indicates that the implementation of the proposed statistical based features had achieved a detection accuracy rate of 87.43 per cent on the English dataset and 86.13 per cent on the Malay dataset.

Matched MeSH terms: Mobile Applications
Fulltext Gaming behaviour with Pokémon GO and physical activity: A preliminary study with medical students in Thailand

Wattanapisit A, Saengow U, Ng CJ, Thanamee S, Kaewruang N

PLoS One, 2018;13(6):e0199813.
PMID: 29958272 DOI: 10.1371/journal.pone.0199813

Pokémon GO becomes the most rapidly downloaded mobile application in history. This study aimed to determine the physical activity of medical students, who played Pokémon GO, and the change in their use of Pokémon GO and physical activity over time. An observational study was conducted. Physical activity was measured by using self-administered questionnaires at baseline (phase 0), 1 month (phase 1) and 3 months (phase 2) post-Pokémon GO download. The changes in physical activity (phase 0 to 1 and phase 1 to 2) were analysed using Wilcoxon Signed Ranked test. The trend (3-point analysis) of physical activity from phase 0, 1 to 2 were analysed using Friedman's test. The relationship between physical activity and time spent gaming was analysed by using Spearman's rank correlation. Twenty-six participants (mean age 22.04±1.70 years) participated in the study. There was no statistically significant change in physical activity during the three-month period (p = 0.45). Only 11 participants (42.3%) were still playing Pokémon GO 3 months after download. The key reasons for playing game were 'have fun' and 'pass time/boredom'. The most common commuting mode to play the game was walking; some drove a car or motorcycle while playing the game. There was no correlation between physical activity and time spent gaming. This study highlights how the lack of sustainability of the game and the motivation behind using Pokémon GO as a game rather than a physical activity app may have undermined the potential of using the game to improve physical activity. Further studies need to explore the reasons for the lack of sustainability and how to combine fun with behavioural change.

Matched MeSH terms: Mobile Applications*

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