Displaying publications 1 - 20 of 107 in total

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  1. Lee B, Ibrahim SA, Zhang T
    JMIR Mhealth Uhealth, 2021 11 11;9(11):e32093.
    PMID: 34748515 DOI: 10.2196/32093
    BACKGROUND: The COVID-19 pandemic increased attention to digital tools to support governmental public health policies in East and South-East Asia. Mobile apps related to the COVID-19 pandemic continue to emerge and evolve with a wide variety of characteristics and functions. However, there is a paucity of studies evaluating such apps in this region, with most of the available studies conducted in the early days of the pandemic.

    OBJECTIVE: This study aimed to examine free apps developed or supported by governments in the East and South-East Asian region and highlight their key characteristics and functions. We also sought to interpret how the release dates of these apps were related to the commencement dates of other COVID-19 public health policies.

    METHODS: We systematically searched for apps in Apple App Store and Google Play Store and analyzed the contents of eligible apps. Mobile apps released or updated with COVID-19-related functions between March 1 and May 7, 2021, in Singapore, Taiwan, South Korea, China (mainland), Japan, Thailand, Hong Kong, Vietnam, Malaysia, Indonesia, and the Philippines were included. The CoronaNet Research Project database was also examined to determine the timeline of public health policy commencement dates in relation to the release dates of the included apps. We assessed each app's official website, media reports, and literature through content analysis. Descriptive statistics were used to summarize relevant information gathered from the mobile apps using RStudio.

    RESULTS: Of the 1943 mobile apps initially identified, 46 were eligible, with almost 70% of the apps being intended for the general public. Most apps were from Vietnam (n=9, 20%), followed by Malaysia, Singapore, and Thailand (n=6 each, 13%). Of note, most apps for quarantine monitoring (n=6, 13%) were mandatory for the target users or a population subset. The most common function was health monitoring (32/46, 70%), followed by raising public health awareness (19/46, 41%) through education and information dissemination. Other functions included monitoring quarantine (12/46, 26%), providing health resources (12/46, 26%). COVID-19 vaccination management functions began to appear in parallel with vaccine rollout (7/46, 15%). Regarding the timing of the introduction of mobile solutions, the majority of mobile apps emerged close to the commencement dates of other public health policies in the early stages of the pandemic between March and April 2020.

    CONCLUSIONS: In East and South-East Asia, most governments used mobile health apps as adjuncts to public health measures for tracking COVID-19 cases and delivering credible information. In addition, these apps have evolved by expanding their functions for COVID-19 vaccination.

    Matched MeSH terms: Mobile Applications*
  2. Rashid NSA, Chen XW, Mohamad Marzuki MF, Takshe AA, Okasha A, Maarof F, et al.
    Int J Environ Res Public Health, 2022 Sep 20;19(19).
    PMID: 36231181 DOI: 10.3390/ijerph191911880
    The impact of dementia on caregivers is complex and multi-dimensional. In low- and middle-income settings, caregivers are often left without adequate support, despite their multiple needs. These include health information, caregiving skills, social and emotional support, and access to local resources-all of which can be partially fulfilled by technology. In recent years, mobile apps have emerged and proven useful for caregivers. We found a few existing apps suitable for Malaysian users in terms of affordability and cultural and linguistic compatibility. Our study aims to design a mobile app that suits dementia caregivers in Malaysia and consists of three phases. Phase I is content development that employs Focus Group Discussion (FGD) and Nominal Group Technique (NGT) involving field experts. Phase II comprises a mobile app (Demensia KITA) designed in collaboration with a software developer specializing in mobile health apps. Phase III entails testing the usability of the app using the Malay version of the mHealth App Usability Questionnaire (M-MAUQ). This study protocol elaborates on the rigorous steps of designing a mobile app and testing its usability, along with anticipated challenges. Our protocol will provide insight for future researchers, healthcare providers, and policymakers and pave the way for better use of digital technology in the field of aging and caregiving.
    Matched MeSH terms: Mobile Applications*
  3. Mohamad Marzuki MF, Yaacob NA, Yaacob NM
    JMIR Hum Factors, 2018 May 14;5(2):e10308.
    PMID: 29759955 DOI: 10.2196/10308
    BACKGROUND: A mobile app is a programmed system designed to be used by a target user on a mobile device. The usability of such a system refers not only to the extent to which product can be used to achieve the task that it was designed for, but also its effectiveness and efficiency, as well as user satisfaction. The System Usability Scale is one of the most commonly used questionnaires used to assess the usability of a system. The original 10-item version of System Usability Scale was developed in English and thus needs to be adapted into local languages to assess the usability of a mobile apps developed in other languages.

    OBJECTIVE: The aim of this study is to translate and validate (with cross-cultural adaptation) the English System Usability Scale questionnaire into Malay, the main language spoken in Malaysia. The development of a translated version will allow the usability of mobile apps to be assessed in Malay.

    METHODS: Forward and backward translation of the questionnaire was conducted by groups of Malay native speakers who spoke English as their second language. The final version was obtained after reconciliation and cross-cultural adaptation. The content of the Malay System Usability Scale questionnaire for mobile apps was validated by 10 experts in mobile app development. The efficacy of the questionnaire was further probed by testing the face validity on 10 mobile phone users, followed by reliability testing involving 54 mobile phone users.

    RESULTS: The content validity index was determined to be 0.91, indicating good relevancy of the 10 items used to assess the usability of a mobile app. Calculation of the face validity index resulted in a value of 0.94, therefore indicating that the questionnaire was easily understood by the users. Reliability testing showed a Cronbach alpha value of .85 (95% CI 0.79-0.91) indicating that the translated System Usability Scale questionnaire is a reliable tool for the assessment of usability of a mobile app.

    CONCLUSIONS: The Malay System Usability Scale questionnaire is a valid and reliable tool to assess the usability of mobile app in Malaysia.

    Matched MeSH terms: Mobile Applications
  4. Shrestha R, Altice FL, Khati A, Azwa I, Gautam K, Gupta S, et al.
    JMIR Mhealth Uhealth, 2023 Feb 16;11:e44468.
    PMID: 36795465 DOI: 10.2196/44468
    BACKGROUND: HIV disproportionately affects men who have sex with men (MSM). In Malaysia, where stigma and discrimination toward MSM are high, including in health care settings, mobile health (mHealth) platforms have the potential to open new frontiers in HIV prevention.

    OBJECTIVE: We developed an innovative, clinic-integrated smartphone app called JomPrEP, which provides a virtual platform for Malaysian MSM to engage in HIV prevention services. In collaboration with the local clinics in Malaysia, JomPrEP offers a range of HIV prevention (ie, HIV testing and pre-exposure prophylaxis [PrEP]) and other support services (eg, referral to mental health support) without having to interface face to face with clinicians. This study evaluated the usability and acceptability of JomPrEP to deliver HIV prevention services for MSM in Malaysia.

    METHODS: In total, 50 PrEP-naive MSM without HIV in Greater Kuala Lumpur, Malaysia, were recruited between March and April 2022. Participants used JomPrEP for a month and completed a postuse survey. The usability of the app and its features were assessed using self-report and objective measures (eg, app analytics, clinic dashboard). Acceptability was evaluated using the System Usability Scale (SUS).

    RESULTS: The participants' mean age was 27.9 (SD 5.3) years. Participants used JomPrEP for an average of 8 (SD 5.0) times during 30 days of testing, with each session lasting an average of 28 (SD 38.9) minutes. Of the 50 participants, 42 (84%) ordered an HIV self-testing (HIVST) kit using the app, of whom 18 (42%) ordered an HIVST more than once. Almost all participants (46/50, 92%) initiated PrEP using the app (same-day PrEP initiation: 30/46, 65%); of these, 16/46 (35%) participants chose PrEP e-consultation via the app (vs in-person consultation). Regarding PrEP dispensing, 18/46 (39%) participants chose to receive their PrEP via mail delivery (vs pharmacy pickup). The app was rated as having high acceptability with a mean score of 73.8 (SD 10.1) on the SUS.

    CONCLUSIONS: JomPrEP was found to be a highly feasible and acceptable tool for MSM in Malaysia to access HIV prevention services quickly and conveniently. A broader, randomized controlled trial is warranted to evaluate its efficacy on HIV prevention outcomes among MSM in Malaysia.

    TRIAL REGISTRATION: ClinicalTrials.gov NCT05052411; https://clinicaltrials.gov/ct2/show/NCT05052411.

    INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/43318.

    Matched MeSH terms: Mobile Applications*
  5. Teo CH, Ng CJ, Lo SK, Lim CD, White A
    JMIR Mhealth Uhealth, 2019 04 15;7(4):e10216.
    PMID: 30985280 DOI: 10.2196/10216
    BACKGROUND: Globally, the uptake of health screening is suboptimal, especially in men and those of younger age. In view of the increasing internet access and mobile phone ownership, ScreenMen, a mobile Web app, was developed to improve health screening uptake in men.

    OBJECTIVE: This study aimed to evaluate the utility and usability of ScreenMen.

    METHODS: This study used both qualitative and quantitative methods. Healthy men working in a banking institution were recruited to participate in this study. They were purposively sampled according to job position, age, education level, and screening status. Men were asked to use ScreenMen independently while the screen activities were being recorded. Once completed, retrospective think aloud with playback was conducted with men to obtain their feedback. They were asked to answer the System Usability Scale (SUS). Intention to undergo screening pre- and postintervention was also measured. Qualitative data were analyzed using a framework approach followed by thematic analysis. For quantitative data, the mean SUS score was calculated and change in intention to screening was analyzed using McNemar test.

    RESULTS: In total, 24 men participated in this study. On the basis of the qualitative data, men found ScreenMen useful as they could learn more about their health risks and screening. They found ScreenMen convenient to use, which might trigger men to undergo screening. In terms of usability, men thought that ScreenMen was user-friendly and easy to understand. The key revision done on utility was the addition of a reminder function, whereas for usability, the revisions done were in terms of attracting and gaining users' trust, improving learnability, and making ScreenMen usable to all types of users. To attract men to use it, ScreenMen was introduced to users in terms of improving health instead of going for screening. Another important revision made was emphasizing the screening tests the users do not need, instead of just informing them about the screening tests they need. A Quick Assessment Mode was also added for users with limited attention span. The quantitative data showed that 8 out of 23 men (35%) planned to attend screening earlier than intended after using the ScreenMen. Furthermore, 4 out of 12 (33%) men who were in the precontemplation stage changed to either contemplation or preparation stage after using ScreenMen with P=.13. In terms of usability, the mean SUS score of 76.4 (SD 7.72) indicated that ScreenMen had good usability.

    CONCLUSIONS: This study showed that ScreenMen was acceptable to men in terms of its utility and usability. The preliminary data suggested that ScreenMen might increase men's intention to undergo screening. This paper also presented key lessons learned from the beta testing, which is useful for public health experts and researchers when developing a user-centered mobile Web app.

    Matched MeSH terms: Mobile Applications/standards*; Mobile Applications/statistics & numerical data
  6. 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
  7. Pei, Lin Lua, Umar Idris Ibrahim
    MyJurnal
    Recently, the integration of mobile phone apps into healthcare system is increasing as a result of the availability of medical applications. This study determined the perception of readiness of community pharmacists on the use of mobile smartphone as a health monitoring tool and the relationships between perception and readiness with selected demographic variables of the respondents. Methods: A crosssectional survey was conducted by distributing a modified 15-item instrument to a convenience sample of pharmacists (n = 245) across Malaysia by post. Statistical analyses were performed using SPSS version 20. Results: Response rate was 31.4% (n= 77). The mean age of the respondents was 35.5 ± 6. 52 years. The sample consisted of mostly women (71.4%). Overall, there were moderate “positive responses” across the two domains. Positive perception ranged from 54.5% to 66.2% and positive readiness ranged from 55.8% to 64.9%. No significant associations between perception and readiness with the selected demographic variables were detected (age, gender, location and outlet type). Conclusions: This study demonstrated that there was generally positive perception of mobile phone use for pharmaceutical care among community pharmacists in Malaysia. They were also ready to adapt it to improve pharmaceutical care delivery to patients.
    Matched MeSH terms: Mobile Applications
  8. James RJE, O'Malley C, Tunney RJ
    Br J Psychol, 2017 Aug;108(3):608-625.
    PMID: 27753063 DOI: 10.1111/bjop.12226
    This manuscript reviews the extant literature on key issues related to mobile gambling and considers whether the potential risks of harm emerging from this platform are driven by pre-existing comorbidities or by psychological processes unique to mobile gambling. We propose an account based on associative learning that suggests this form of gambling is likely to show distinctive features compared with other gambling technologies. Smartphones are a rapidly growing platform on which individuals can gamble using specifically designed applications, adapted websites or text messaging. This review considers how mobile phone use interacts with psychological processes relevant to gambling, the games users are likely to play on smartphones, and the interactions afforded by smartphones. Our interpretation of the evidence is that the schedules of reinforcement found in gambling interact with the ways in which people tend to use smartphones that may expedite the acquisition of maladaptive learned behaviours such as problem gambling. This account is consistent with existing theories and frameworks of problem gambling and has relevance to other forms of mobile phone use.
    Matched MeSH terms: Mobile Applications
  9. Chiu CJ, Yu YC, Du YF, Yang YC, Chen JY, Wong LP, et al.
    JMIR Mhealth Uhealth, 2020 06 02;8(6):e14024.
    PMID: 32484448 DOI: 10.2196/14024
    BACKGROUND: Many technology-assisted innovations have been used to manage disease. However, most of these innovations are not broadly used by older adults due to their cost. Additionally, disease management through technology-assisted innovations has not been compared with other interventions.

    OBJECTIVE: In this study, we tested the employment of a free and widely used social and communication app to help older adults with diabetes manage their distress and glycemic control. We also compared the effectiveness of the app with 2 other methods, namely telephone and conventional health education, and determined which subgroup experiences the most effects within each intervention.

    METHODS: Adults aged ≥50 years with type 2 diabetes were recruited from Southern Taiwan (N=231) and were allocated to different 3-month interventions. Informed consent was obtained at the Ministry of Science and Technology and approved by the National Cheng Kung University Hospital Institutional Review Board (No. A-ER-102-425).

    RESULTS: Participants in the mobile-based group had significant reductions in hemoglobin A1c compared with the telephone-based and usual care groups (mean changes of -0.4%, 0.1%, and 0.03%, respectively; P=.02). Diabetes-specific distress decreased to a greater extent in the mobile-based group compared to the other 2 groups (mean changes of -5.16, -3.49, and -2.44, respectively, P=.02). Subgroup analyses further revealed that the effects on reducing blood glucose levels in the social and communication app groups were especially evident in patients with lower distress scores, and diabetes-related distress was especially evident in participants who were younger than 60 years or had higher educational levels.

    CONCLUSIONS: The findings of this study inform more flexible use of social and communication apps with in-person diabetes education and counselling.

    Matched MeSH terms: Mobile Applications*
  10. Alam MMD, Alam MZ, Rahman SA, Taghizadeh SK
    J Biomed Inform, 2021 Apr;116:103722.
    PMID: 33705856 DOI: 10.1016/j.jbi.2021.103722
    The objectives of this study are to examine the factors affecting the intention and actual usage behavior on mHealth adoption, investigate the effect of actual usage behavior of mHealth on mental well-being of the end-users, and investigate the moderating role of self-quarantine on the intention-actual usage of mHealth under the coronavirus disease (COVID-19) pandemic situation. The required primary data were gathered from the end-users of mHealth in Bangladesh. Using the Unified Theory of Acceptance and Use of Technology (UTAUT2), this study has confirmed that performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions have a positive influence on behavioral intention whereas health consciousness has an impact on both intention and actual usage behavior. mHealth usage behavior has an affirmative and meaningful effect on the mental well-being of the service users. Moreover, self-quarantine has strong influence on actual usage behavior but does not moderate the intention-behavior relationship. In addition, due to the existence of a non-linearity problem in the data set, the Artificial Neural Network (ANN) approach was engaged to sort out relatively significant predictors acquired from Structural Equation Modeling (SEM). However, this study contributes to the emergent mHealth literature by revealing how the use of the mHealth services elevates the quality of patients' mental well-being under this pandemic situation.
    Matched MeSH terms: Mobile Applications
  11. Jaffar A, Mohd Sidik S, Foo CN, Muhammad NA, Abdul Manaf R, Fadhilah Ismail SI, et al.
    PMID: 33946203 DOI: 10.3390/ijerph18094792
    BACKGROUND: The delivery of pelvic floor muscle training (PFMT) through mHealth apps has been shown to produce promising results in improving pelvic floor muscle strength and urinary incontinence (UI). However, there is limited evidence on mHealth apps designed for pregnant women who are at high risk of developing UI. This pilot study aims to evaluate the feasibility of conducting an effectiveness trial for a newly developed PFMT app among pregnant women in Malaysia.

    METHODS: This is a prospective, single-centre, single-blind, randomised controlled pilot feasibility study: The Kegel Exercise Pregnancy Training app (KEPT-app) Trial. Sixty-four incontinent pregnant women who attended one primary care clinic for the antenatal follow-up will be recruited and randomly assigned to either intervention or waitlist control group. The intervention group will receive the intervention, the KEPT-app developed from the Capability, Opportunity, Motivation-Behaviour (COM-B) theory with Persuasive Technology and Technology Acceptance Model.

    DISCUSSION: This study will provide a fine-tuning for our future randomised control study on the recruitment feasibility methods, acceptability, feasibility, and usability of the KEPT-app, and the methods to reduce the retention rates among pregnant women with UI.

    TRIAL REGISTRATION: This study was registered on ClinicalTrials.gov on 19 February 2021 (NCT04762433) and is not yet recruiting.

    Matched MeSH terms: Mobile Applications*
  12. Karthikeyan SK, Thangarajan R, Theruvedhi N, Srinivasan K
    Oman J Ophthalmol, 2019 6 15;12(2):73-77.
    PMID: 31198290 DOI: 10.4103/ojo.OJO_226_2018
    Google Play Store was used to search for eye care-related applications the android simulator using various general terms related to eye care to review and categorize various interactive eye care-related applications in android platform from the details available in the application website. Data collected from application description and application developer's webpage include target audience, category of apps, estimated number of downloads, average user rating, involvement of eye care professionals in developing the application, and cost of the app. All these data were collected only from the details provided in the application website considering on online user perspective and the developers were not contacted to collect any other details. In total, 475 applications were identified and grouped into 13 categories depending on the type of service the application provide. Out of which, only 107 (22.53%) applications had mentioned about the eye care professional involvement in their design or development of the application. The applications were also stratified according to the target audience, and many had no user rating with very few downloads. The lack of evidence-based principles and standardization of application development should be taken into consideration to avoid its negative impact on the community, especially in eye care.
    Matched MeSH terms: Mobile Applications
  13. Ang CS, Teo KM, Ong YL, Siak SL
    Addict Health, 2019 Jan;11(1):1-10.
    PMID: 31308904 DOI: 10.22122/ahj.v11i1.539
    Background: The exponential growth of smartphones has afforded many users with ubiquitous access to socialization as seen in the various mobile apps used to communicate and connect with others. The present study employed mixed-method approaches to analyse the impact of phubbing on social connectedness among adolescents in Malaysia.

    Methods: A total of 568 adolescents were participated in quantitative surveys, and of these participating adolescents, 6 were further invited to join focus group interviews.

    Findings: Quantitative findings supported the mediating role of communication disturbance in the relationships between phone obsession and familial connectedness, school connectedness, and self-connectedness, but not for friendship connectedness. Qualitative findings further elucidated the detrimental effect of phone obsession on their sense of belonging from the perspectives of adolescents.

    Conclusion: This study reaffirms that phubbing behaviour is predictive of social disconnectedness. Therefore, preventive and treatment interventions should be developed to avoid and control a potential risk of social disconnectedness epidemics attribute to phubbing.

    Matched MeSH terms: Mobile Applications
  14. Safavi S, Shukur Z
    PLoS One, 2014;9(12):e114306.
    PMID: 25478915 DOI: 10.1371/journal.pone.0114306
    Wearable health tech provides doctors with the ability to remotely supervise their patients' wellness. It also makes it much easier to authorize someone else to take appropriate actions to ensure the person's wellness than ever before. Information Technology may soon change the way medicine is practiced, improving the performance, while reducing the price of healthcare. We analyzed the secrecy demands of wearable devices, including Smartphone, smart watch and their computing techniques, that can soon change the way healthcare is provided. However, before this is adopted in practice, all devices must be equipped with sufficient privacy capabilities related to healthcare service. In this paper, we formulated a new improved conceptual framework for wearable healthcare systems. This framework consists of ten principles and nine checklists, capable of providing complete privacy protection package to wearable device owners. We constructed this framework based on the analysis of existing mobile technology, the results of which are combined with the existing security standards. The approach also incorporates the market share percentage level of every app and its respective OS. This framework is evaluated based on the stringent CIA and HIPAA principles for information security. This evaluation is followed by testing the capability to revoke rights of subjects to access objects and ability to determine the set of available permissions for a particular subject for all models Finally, as the last step, we examine the complexity of the required initial setup.
    Matched MeSH terms: Mobile Applications*
  15. Singh DKA, Goh JW, Shaharudin MI, Shahar S
    JMIR Mhealth Uhealth, 2021 10 12;9(10):e23663.
    PMID: 34636740 DOI: 10.2196/23663
    BACKGROUND: Recent falls prevention guidelines recommend early routine fall risk assessment among older persons.

    OBJECTIVE: The purpose of this study was to develop a Falls Screening Mobile App (FallSA), determine its acceptance, concurrent validity, test-retest reliability, discriminative ability, and predictive validity as a self-screening tool to identify fall risk among Malaysian older persons.

    METHODS: FallSA acceptance was tested among 15 participants (mean age 65.93 [SD 7.42] years); its validity and reliability among 91 participants (mean age 67.34 [SD 5.97] years); discriminative ability and predictive validity among 610 participants (mean age 71.78 [SD 4.70] years). Acceptance of FallSA was assessed using a questionnaire, and it was validated against a comprehensive fall risk assessment tool, the Physiological Profile Assessment (PPA). Participants used FallSA to test their fall risk repeatedly twice within an hour. Its discriminative ability and predictive validity were determined by comparing participant fall risk scores between fallers and nonfallers and prospectively through a 6-month follow-up, respectively.

    RESULTS: The findings of our study showed that FallSA had a high acceptance level with 80% (12/15) of older persons agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (r=.518, P

    Matched MeSH terms: Mobile Applications*
  16. White BK, Burns SK, Giglia RC, Dhaliwal SS, Scott JA
    PMID: 35565015 DOI: 10.3390/ijerph19095626
    Participant engagement is an important consideration in mHealth interventions and there are no standardised measurements available to guide researchers. This paper describes the engagement index customised for the Milk Man app, a mobile app designed to engage fathers with breastfeeding and parenting information. Participants were recruited from maternity hospitals in Perth, Western Australia. An engagement index with scores ranging from 0 to 100 was calculated. Kaplan Meier survival analysis was used to determine difference in duration of exclusive breastfeeding, and Pearson's chi square analysis was conducted to investigate the association of engagement level with demographic characteristics and exclusive breastfeeding at 6 weeks. While overall, partners of participants who installed Milk Man were less likely to have ceased exclusive breastfeeding at any time point from birth to six weeks postpartum, this result was modest and of borderline significance (log rank test p = 0.052; Breslow p = 0.046; Tarone-Ware p = 0.049). The mean engagement score was 29.7% (range 1-80%), median 27.6%. Engagement level had no impact on duration of exclusive breastfeeding and demographic factors were not associated with engagement level. This research demonstrates a range of metrics that can be used to quantify participant engagement. However, more research is needed to identify ways of measuring effective engagement.
    Matched MeSH terms: Mobile Applications*
  17. Sohayla M. Attalla, Nihal A. Hanafy, Mahfuza Akter, Sakinah Ruhi
    MyJurnal
    Introduction: The twenty-first-century learning is adopting the student-centered learning techniques and the teach- ers are mainly facilitators to direct the process of learning and so social media and mobile applications became an important learning platform. Mobile learning (M-learning) is the practice of learning activities through a portable device such as cellular phone or a personal digital assistant. The aim of this research is to screen the medical stu- dents’ intention toward the adoption of M-learning and to determine factors affecting the intentions of the medical students to practice M-learning. Methods: A cross-sectional study among medical students was performed through a questionnaire based on the Theory of Reasoned Action and the Technology Acceptance Model. The study included 129 students in different stages of the medical study. Results: Results showed that the factors affecting the students’ inten¬tion to practice M-learning include the students’ attitude, perceived usefulness, perceived ease of use, and availability of resources. In the current sample 82.7% of students are already using M-Learning; 41.7% are using it for assessment, 22.8% are using it for learning and 35.5% are using it for both. Conclusion: It was concluded that most medical students have higher intention to adopt M-learning and they are mostly using it for assessment purposes rather than in learning.
    Matched MeSH terms: Mobile Applications
  18. Cheng Z, Zhou M, Sabran K
    Assist Technol, 2024 Jan 02;36(1):64-74.
    PMID: 37115814 DOI: 10.1080/10400435.2023.2206439
    As the global aging trend increases, dementia pressures families and society. Mobile apps that provide interventions and independence for people with dementia (PwD) may relieve this pressure. This study reviews mobile app-based interventions designed for use with PwD, focusing on the type, design, and evaluation of mobile apps. This study searched PubMed, Web of Science, SpringerLink, Taylor & Francis, and IEEE Xplore databases for mobile applications designed for people with disabilities and reported the evaluation results. This study aimed to find out what types of mobile apps developed for people with dementia were marketed during the COVID-19 pandemic, to find out what relevant studies have been done to evaluate mobile apps, and whether users have benefited. Twenty papers were eligible, covering four different intervention types and assessment methods. This review found that Serious games can improve the cognitive abilities of PwD and contribute to the mental recovery of patients. Recall therapy and musical mobile apps help PwD slow down memory loss. Personal life mobile apps are effective in assisting PwD to improve independent living.
    Matched MeSH terms: Mobile Applications*
  19. 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
  20. Jaafar H, Ibrahim S, Ramli DA
    Comput Intell Neurosci, 2015;2015:360217.
    PMID: 26113861 DOI: 10.1155/2015/360217
    Mobile implementation is a current trend in biometric design. This paper proposes a new approach to palm print recognition, in which smart phones are used to capture palm print images at a distance. A touchless system was developed because of public demand for privacy and sanitation. Robust hand tracking, image enhancement, and fast computation processing algorithms are required for effective touchless and mobile-based recognition. In this project, hand tracking and the region of interest (ROI) extraction method were discussed. A sliding neighborhood operation with local histogram equalization, followed by a local adaptive thresholding or LHEAT approach, was proposed in the image enhancement stage to manage low-quality palm print images. To accelerate the recognition process, a new classifier, improved fuzzy-based k nearest centroid neighbor (IFkNCN), was implemented. By removing outliers and reducing the amount of training data, this classifier exhibited faster computation. Our experimental results demonstrate that a touchless palm print system using LHEAT and IFkNCN achieves a promising recognition rate of 98.64%.
    Matched MeSH terms: Mobile Applications*
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