Displaying publications 61 - 80 of 107 in total

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  1. Sharifah Norkhadijah Syed Ismail, Josfirin Uding Rangga, Irniza Rasdi, Umi Raihana Abd Rahman, Mohd Armi Abu Samah
    MyJurnal
    Introduction: The application of M-learning or mobile application (app) as a tool to disseminate occupational safety and health (OSH) information among students and staff in the university, to replace the use of conventional noticeboard was assessed in this study. Materials and Methods: Study was conducted between February to March 2016 and involved 124 respondents from health sciences program in Universiti Putra Malaysia. OSH information was incorporated into a mobile-app using online software and respondents were requested to use the app for fourteen days. A self-administered questionnaire was used to assess the level of knowledge, attitude and practice of respondents before and after using the app. Results: The mobile app has significantly increased the knowledge score among respondents (z = -7.331, p
    Matched MeSH terms: Mobile Applications
  2. Alam T, Faruque MRI, Islam MT
    Materials (Basel), 2015 Jul 29;8(8):4817-4828.
    PMID: 28793474 DOI: 10.3390/ma8084817
    A double-negative metamaterial-inspired antenna is presented for mobile wireless applications. The antenna consists of a semi-circular radiating patch and a 3 × 4 hexagonal shaped metamaterial unit cell array in the ground plane. The antenna is fed with a 50 Ω microstrip feed line. The electric dimensions of the proposed antenna are 0.20λ × 0.26λ × 0.004λ, at the low-end frequency. The proposed antenna achieves a -10 dB impedance with a bandwidth of 2.29 GHz at the lower band and 1.28 GHz at the upper band and can operate for most of the mobile applications such as upper GSM bands, WiMAX, Bluetooth, and wireless local area network (WLAN) frequency bands. The focused novelties of the proposed antenna are its small size, multi-standard operating bands, and electromagnetic absorption reduction at all the operating frequencies using the double-negative metamaterial ground plane.
    Matched MeSH terms: Mobile Applications
  3. Hindia MN, Rahman TA, Ojukwu H, Hanafi EB, Fattouh A
    PLoS One, 2016;11(5):e0155077.
    PMID: 27152423 DOI: 10.1371/journal.pone.0155077
    As the enterprise of the "Internet of Things" is rapidly gaining widespread acceptance, sensors are being deployed in an unrestrained manner around the world to make efficient use of this new technological evolution. A recent survey has shown that sensor deployments over the past decade have increased significantly and has predicted an upsurge in the future growth rate. In health-care services, for instance, sensors are used as a key technology to enable Internet of Things oriented health-care monitoring systems. In this paper, we have proposed a two-stage fundamental approach to facilitate the implementation of such a system. In the first stage, sensors promptly gather together the particle measurements of an android application. Then, in the second stage, the collected data are sent over a Femto-LTE network following a new scheduling technique. The proposed scheduling strategy is used to send the data according to the application's priority. The efficiency of the proposed technique is demonstrated by comparing it with that of well-known algorithms, namely, proportional fairness and exponential proportional fairness.
    Matched MeSH terms: Mobile Applications
  4. Siddique AB, Krebs M, Alvarez S, Greenspan I, Patel A, Kinsolving J, et al.
    JMIR Mhealth Uhealth, 2019 09 04;7(9):e12604.
    PMID: 31486408 DOI: 10.2196/12604
    BACKGROUND: Numerous free and low-cost mobile apps for the care management of kidney disease have become available in recent years. Although these appear to be promising tools, they have not been evaluated comparatively based on standard mobile app metrics, and thus, limited evidence is available regarding their efficacy. This study systematically cataloged and assessed mobile apps designed to assist medication compliance and nutrition tracking that are useful to the chronic kidney disease (CKD) and the end-stage renal disease (ESRD) patients who are on dialysis.

    OBJECTIVE: The objective of this study was to comprehensively evaluate mobile apps used for medication compliance and nutrition tracking for possible use by CKD and ESRD patients.

    METHODS: A systematic review framework was applied to the search, screening, and assessment of apps identified and downloaded from the iOS and Android app stores. We selected apps using 13 relevant search terms, narrowed down based on a set of inclusion and exclusion criteria, and then used the Mobile App Rating Scale (MARS), a widely adopted app evaluation tool to assess the effectiveness of apps. The internal consistency and interrater reliability were tested using Cronbach alpha and interclass correlation coefficients (ICCs), respectively.

    RESULTS: The MARS total score had excellent internal consistency (Cronbach alpha=.90) and a moderate level of interrater reliability (2-way mixed ICC 0.65). Overall, 11 out of the 12 reviewed apps met the minimum acceptable score of 3.0 in MARS rating. The 3 apps with the highest combined scores were My Kidneys, My Health Handbook (MARS=4.68); My Food Coach (MARS=4.48); and National Kidney Foundation Malaysia (MARS=4.20). The study identified 2 general weaknesses in the existing apps: the apps fell short of accommodating advanced interactive features such as providing motivational feedback and promoting family member and caregiver participations in the app utilization.

    CONCLUSIONS: The MARS rating system performed well in the app evaluation. The 3 highest ranked apps scored consistently high across the 5 dimensions specified in MARS. These apps were developed in collaboration with reputable organizations and field experts, demonstrating the importance of expert guidance in developing medical apps.

    Matched MeSH terms: Mobile Applications/trends; Mobile Applications/statistics & numerical data*
  5. Abdul Rauf Abdul Rasam, Abdul Rauf Abdul Rasam, Azri Haziq Azlin, Noraqila Aiman Abu, Ahmad Norhisyam Idris, Nurmilah Romeyu
    Jurnal Inovasi Malaysia, 2020;3(2):87-99.
    MyJurnal
    Disability is termed as both evolving concept and manifestation of interaction between persons with disabilities (PWDs) and physical and environmental barriers that holds them back from contributing actively in a society. People who fall in this category will find themselves trapped in a such vulnerable condition as they may not be able to cope with their daily problems without high surveillance from their guardian. Development of a mobile apps and web GIS-based healthcare system in Ampang is proposed in this study as this application has a bright potential to assist PWDs in terms of accessibilities to reach healthcare centres. The main objectives of this paper are i) to study the needs assessment on the proposed system, ii) to develop a mobile and web GIS-based healthcare information system and iii) to evaluate the performance of the proposed system. Selected respondents agreed on the development of the prototype system, namely the mobile apps and web system. The system was created with main menus such as doctor home visits, ambulance and medication delivery. Medical support team can also perform analyses in the system for PWD needs such as shortest path analysis, buffering and view of the main menus.
    Matched MeSH terms: Mobile Applications
  6. Rajesh Kumar Muniandy, Merly Grace Lansing
    MyJurnal
    Getting appropriate healthcare is a challenge to the citizens in Malaysia due to the limited facilities, healthcare providers, and cost of healthcare. Uberization of healthcare will help fill this gap. Uberization helps modify the market or economic model with the introduction of a cheaper and more effective alternative service by introducing a different way of buying or using it, with the use of mobile technology. With powerful artificial intelligence engines operating on cloud servers, mobile apps can provide a better healthcare experience for patients. With uberization application, the patient need not come to the hospital to see a doctor before a treatment can be planned. Once a request is made by the patient, the healthcare providers can come to see the patient at an agreed place. This article aims to explore the possible uberization of healthcare in Malaysia.
    Matched MeSH terms: Mobile Applications
  7. Al-Kumaim NH, Alhazmi AK, Ramayah T, Shabbir MS, Gazem NA
    Front Psychol, 2021;12:637808.
    PMID: 33643168 DOI: 10.3389/fpsyg.2021.637808
    Value Co-Creation (VCC) plays a major role in engaging knowledgeable individuals in a community via innovation, problem solving, and new service/product development. This study investigates the personal factors that influence individuals' engagement in value co-creation in Higher Education Institutions (HEIs) through the use of online platforms. Some higher education institutions have successfully established or used appropriate online platforms, such as online forums, web applications, and mobile applications to engage their community in ideation or crowdsourcing as a part of the value co-creation process. On the other hand, some HEIs have failed to engage their community in value co-creation activities, and even if they managed to engage some individuals in value co-creation once, they failed to sustain these individuals' engagement in value co-creation using online platforms. Using the Stimulus Organism Response (S-O-R) framework, this study examines the relationship between relevant personal factors (commitment and knowledge self-efficacy) and other motivational factors that provide perceived benefits with value co-creation engagement. Data was collected from 308 respondents at five Malaysian research universities. The software analysis tool Smart PLS is used for data analysis and validation. The results demonstrate that personal factors and perceived benefits as a motivational factor has a significant effect on individual engagement in value co-creation. However, the significance of these findings varies from one individual to another. The implications of these findings are discussed.
    Matched MeSH terms: Mobile Applications
  8. Wan Faizatul Azirah Ismayatim, Nur Dalila Mohamad Nazri, Ramiaida Darmi, Nursyuhada’ Ab Wahab, Nur Adibah Zamri, Haliza Harun, et al.
    Jurnal Inovasi Malaysia, 2020;4(1):173-192.
    MyJurnal
    This paper presents an innovation of a revolutionized self-directed English learning module entitled My Electronic Visual and Audio (MyEVO), which is designed and developed to assist language learners to conveniently acquire the required listening skills through the combination of current and state-of-the-art technology - Augmented Reality (AR) and mobile applications. Using Video Media method introduced by Gruba (1997, 2004), all listening practices in this module are based on video recording. Feedbacks gained from the users of the module indicate that learners are very excited and happy to use technology assisted module in acquiring listening skills compared to the traditional module. Educators also believe that this module cater the needs of the 21st century learners and is suitable to be used inside the classroom or as a self-directed learning module. Another key feature of this smart module highlighted by the educators is the ability of the mobile application that allows learners to engage with the e-global community known as ‘MyEVO community, where all users can share their answers and exchange opinions regarding the given questions. In addition, listening activities that were designed in this module also cover the Higher Order Thinking Skills (HOTS) needed in learning. Educators also agreed that this interactive feature does not only encourage the learners to be active in their learning but it also helps to reduce their anxiety, learning process becomes more interesting and helps to aid their understanding of the topics covered.
    Matched MeSH terms: Mobile Applications
  9. Adam Linoby, Jamiaton Kusrin, Muhammad Iskandar Asraff, Muhammad Azamuddin Rodzi, Sufyan Zaki, Hosni Hasan
    Jurnal Inovasi Malaysia, 2020;4(1):193-208.
    MyJurnal
    The conventional heart rate monitor is usually developed with a numeric digital display. This numerical view is obviously not practical to be used during exercise. In this study, the iOS-based mobile application, called Chromozone, was developed to monitor heart rate using the universal color-coding system. The heart rate monitor during the exercise is designed to notify the exercise intensity information to users using the three universal color-coded (i.e. green zone: optimal heart rate; yellow zone: heart rate lower than the optimal zone, and red zone: heart rate higher than the optimal zone). Chromozone is programmed to display uniform colors across the smart phone display, which allows users to easily be informed in regards to the state of exercise intensity. The transfer of heart rate data from the chest transmitter to Chromozone application is designed to use Bluetooth Low Energy (BLE) system technology. The heart rate data is then processed by the application to determine the intensity range of exercise training heart rate based on the user’s personal input (i.e. age, gender, fitness levels and training objective). Preliminary analysis found that Chromozone application is effective in delivering real-time exercise intensity heart rate. Chromozone could potentially help athletes, active individuals and clinical populations to monitor and regulate their workout training regime in a more effective and safer manner.
    Matched MeSH terms: Mobile Applications
  10. Nadiawati Alias, Nor Hasima Mahmod, Noor Afiza Badaluddin, Mohammad Khairul Asyraf Ridzuan
    Jurnal Inovasi Malaysia, 2019;2(2):1-18.
    MyJurnal
    BactFinder© is an interactive and mobile application built to facilitate bacteria identification. As widely known, bacteria are composed of large domains of prokaryotic microorganisms which are various in types, hence the identification of these bacterial groups requires a systematic and orderly identification process. Through this mobile app, experimental results from biochemical and bacterial morphological tests carried out in the laboratory before hand must be submitted to the application before bacterial identification can be performed. Previously, academics user and students have to refer to many references such as research books and related academic journals in order to finalise their bacteria identification. This process, of course, will take relatively longer time and less effective. This BactFinder© mobile application is equipped with a database of 19 types of biochemical tests including bacteria morphology. The database was built based on Bergey’s Manual of Systematic Bacteriology, Bergey’s Manual of Determinative Bacteriology and other related scientific journals. The BactFinder© mobile app has been proved able to provide fast (± 2 seconds) and precise responses in helping students and academics user in the process of identifying bacteria species in the lab. This application is also suitable for undergraduate, post-graduate and academicians in the field of microbiology, biotechnology and science in general.
    Matched MeSH terms: Mobile Applications
  11. Chong EY, Palanisamy UD, Jacob SA
    Patient Prefer Adherence, 2019;13:195-207.
    PMID: 30774315 DOI: 10.2147/PPA.S182516
    Purpose: This study prepares the groundwork on the potential design and development of a mobile health (mHealth) app that will be able to bridge the communication gap between pharmacists and patients who are Deaf and Hard of Hearing (DHoH).

    Patients and methods: A focus group discussion was conducted with 12 community pharmacists. Participants were recruited using snowball sampling. Audio-recordings were transcribed verbatim, and analyzed using a thematic approach.

    Results: Three themes were apparent: 1) suggestions for app design and content, 2) perceived benefits of the app, and 3) potential challenges related to the app. Participants believed the app would be able to facilitate and improve communication, and hence relationship, between pharmacists and the DHoH. Potential challenges of the app were highlighted, such as the need for manpower to manage the app, and its cost to this group of economically disadvantaged people. There were also concerns about privacy and security.

    Conclusions: This study allowed community pharmacists, one of the end-users of the app, to provide feedback on the contents and design of the app, which would allow them to provide pharmaceutical care services to patients who are DHoH, and better serve them. Potential benefits and challenges of the app were also identified. Undoubtedly, through the mHealth app, community pharmacists will be better equipped to serve and communicate with the DHoH, and this will hopefully translate to improved health outcomes in these patients.

    Matched MeSH terms: Mobile Applications
  12. Zakaria NS, Saripan MI, Subarimaniam N, Ismail A
    JMIR Serious Games, 2020 Aug 10;8(3):e18247.
    PMID: 32663153 DOI: 10.2196/18247
    BACKGROUND: Gamification has remarkable potential in the learning space. The process of creating a gamified system and its influence on human behavior reflect the interaction between educators and machines.

    OBJECTIVE: The purpose of this pilot study was to present Ethoshunt as a gamification-based mobile app that can be used in teaching and learning ethics.

    METHODS: This study involved a mixed-methods research design. The researchers surveyed 39 undergraduate students who were introduced to Ethoshunt in order to examine the relationships between mobile app usability and positive emotions, ethical competency, and user experience. Affinity diagramming was used as a tool to organize the opinions and experiences of participants using featured gamification elements.

    RESULTS: Game dynamics and game mechanics explained the functionality of Ethoshunt. In addition, the learning flow through Ethoshunt was discussed. Overall, the findings were positive, and mobile app usability had the strongest relationship with positive emotions (r=0.744, P

    Matched MeSH terms: Mobile Applications
  13. Izahar S, Lean QY, Hameed MA, Murugiah MK, Patel RP, Al-Worafi YM, et al.
    PMID: 29230195 DOI: 10.3389/fendo.2017.00318
    Diabetes self-management offers an opportunity to patients to be actively involved in managing their conditions and modifying lifestyle behaviors to attain positive health outcomes. With the unprecedented growth of mobile technology, smartphone plays a role in supporting diabetes self-management. Nonetheless, selecting appropriate mobile applications (apps) is challenging for patients. Thus, this study aimed to evaluate and compare the contents and features of mobile medical apps for diabetes self-management. Of 346 commercial apps, 16 (16%) and 19 (7.72%) of the diabetes apps found in Apple and Google Play stores, respectively, were included based on the selection criteria and individually scored for the availability of 8 main features of diabetes self-management. The apps supported self-management by offering features such as free installation, less than 50 MB space used, offline use, automated data entry, data export and sharing, educational tool, and advice. Of the 8 evaluated features, only 11 (31.4%) apps had a score of 5 whereas 7 (20%) apps scored the lowest, with a score of 3. The majority of apps were free, required no Internet connectivity to use and were less than 50 MB in size. Our findings showed that the design of diabetes mobile apps focused on reporting and setting reminders, rather than providing personalized education or therapeutic support. In the future, the design of apps could be improved to integrate patients' needs, usability for disease management, and lifestyle modifications.
    Matched MeSH terms: Mobile Applications
  14. 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
  15. Yusof Kadikon, Imran Mohd Shafek, M. Maarof Bahurdin
    MyJurnal
    In Malaysia, the number of Musculoskeletal Disorder (MSD) cases is increasing . Rapid Upper Limb Assessment
    (RULA) is carried out in a physical paper form which is cumbersome and based on the complex nature and it should
    consider human error. This project aims to create the RULA application for mobile devices featuring the android system
    for this move will cut down the process time by more than half, create a more structured system and eliminate human
    error wholly. The application will be designed on the App Inventor website which features a lot of handy tutorials
    and takes the initiative to create a RULA mobile app for Android phones. The RULA mobile app for Android phones
    is intended to make it easier and much more efficient to conduct a RULA analysis. Additionally, the analyses can be
    conducted by minimally trained users, eliminating the need for highly trained technicians. RULA test is performed to
    achieve accurate results and the mathematical processes will be programmed into the app so that the user will have a
    friendly interface and will only be asked to tick boxes.
    Matched MeSH terms: Mobile Applications
  16. Mat Baki M, Wood G, Alston M, Ratcliffe P, Sandhu G, Rubin JS, et al.
    Clin Otolaryngol, 2015 Feb;40(1):22-8.
    PMID: 25263076 DOI: 10.1111/coa.12313
    OBJECTIVE: To evaluate the agreement between OperaVOX and MDVP.

    DESIGN: Cross sectional reliability study.

    SETTING: University teaching hospital.

    METHODS: Fifty healthy volunteers and 50 voice disorder patients had supervised recordings in a quiet room using OperaVOX by the iPod's internal microphone with sampling rate of 45 kHz. A five-seconds recording of vowel/a/was used to measure fundamental frequency (F0), jitter, shimmer and noise-to-harmonic ratio (NHR). All healthy volunteers and 21 patients had a second recording. The recorded voices were also analysed using the MDVP. The inter- and intrasoftware reliability was analysed using intraclass correlation (ICC) test and Bland-Altman (BA) method. Mann-Whitney test was used to compare the acoustic parameters between healthy volunteers and patients.

    RESULTS: Nine of 50 patients had severe aperiodic voice. The ICC was high with a confidence interval of >0.75 for the inter- and intrasoftware reliability except for the NHR. For the intersoftware BA analysis, excluding the severe aperiodic voice data sets, the bias (95% LOA) of F0, jitter, shimmer and NHR was 0.81 (11.32, -9.71); -0.13 (1.26, -1.52); -0.52 (1.68, -2.72); and 0.08 (0.27, -0.10). For the intrasoftware reliability, it was -1.48 (18.43, -21.39); 0.05 (1.31, -1.21); -0.01 (2.87, -2.89); and 0.005 (0.20, -0.18), respectively. Normative data from the healthy volunteers were obtained. There was a significant difference in all acoustic parameters between volunteers and patients measured by the Opera-VOX (P 

    Matched MeSH terms: Mobile Applications*
  17. 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*
  18. Hamzah FH, Mohd Hairon S, Yaacob NM, Musa KI
    PMID: 31295907 DOI: 10.3390/ijerph16142453
    Prompt investigation of food poisoning outbreak are essential, as it usually involves a short incubation period. Utilizing the advancement in mobile technology, a mobile application named MyMAFI (My Mobile Apps for Field Investigation) was developed with the aim to be an alternative and better tool for current practices of field investigation of food poisoning outbreak. A randomized cross-over trial with two arms and two treatment periods was conducted to assess the effectiveness of the newly developed mobile application as compared to the standard paper-based format approach. Thirty-six public health inspectors from all districts in Kelantan participated in this study and they were randomized into two equal sized groups. Group A started the trial as control group using the paper-format investigation form via simulated outbreaks and group B used the mobile application. After a one-month 'washout period', the group was crossed over. The primary outcome measured was the time taken to complete the outbreak investigation. The treatment effects, the period effects and the period-by-treatment interaction were analyzed using Pkcross command in Stata software. There was a significant treatment effect with mean square 21840.5 and its corresponding F statistic 4.47 (p-value = 0.038), which indicated that the mobile application had significantly improve the reporting timeliness. The results also showed that there was a significant period effect (p-value = 0.025); however, the treatment by period interaction was not significant (p-value = 0.830). The newly developed mobile application-MyMAFI-can improve the timeliness in reporting for investigation of food poisoning outbreak.
    Matched MeSH terms: Mobile Applications*
  19. 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*
  20. Sidik SM, Jaffar A, Foo CN, Muhammad NA, Abdul Manaf R, Ismail SIF, et al.
    BMJ Open, 2021 01 12;11(1):e039076.
    PMID: 33436465 DOI: 10.1136/bmjopen-2020-039076
    INTRODUCTION: Pelvic floor muscle training (PFMT) strongly recommended to incontinent pregnant women. The Kegel Exercise Pregnancy Training-app trial is a multicentre cluster-randomised study aims to assess the effectiveness and its cost-effectiveness of the mobile app guidance in PFMT among incontinent pregnant women.

    METHODS AND ANALYSIS: 370 pregnant women (aged 18 years old and above) will be recruited with International Consultation on Incontinence Questionnaire-Urinary Incontinence-Short Form. Ten clusters (primary care clinics) will be randomly assigned to either PFMT or usual care in a 1:1 ratio by an independent researcher (sealed envelope). The primary outcome will be urinary incontinence, and the secondary outcomes (quality of life; PFMT adherence, psychological status and mobile apps' usability) will be assessed at four measurement time points (t0: baseline) and postintervention (t1: 4 weeks, t2: 8 weeks and t3: 8 weeks postnatal). T-test analysis will determine any significant differences at the baseline between the control and intervention groups. The mixed-model analysis will determine the effectiveness of the intervention at the population-average level for both the primary and secondary outcomes. For the cost-effectiveness analysis, expenditures during the study and 6 months after the intervention will be compared between the groups using the multiway sensitivity analysis. The recruitment planned will be in December 2020, and the planned end of the study will be in August 2021.

    ETHICS AND DISSEMINATION: This study protocol was approved by the Ethics Committee for Research Involving Human Subjects, Universiti Putra Malaysia (JKEUPM-2019-368) and Medical Research and Ethics Committee (MREC), Ministry of Health Malaysia, NMRR-19-412-47116 (IIR) with the ANZCTR registration. This study will obtain informed written consent from all the study participants. The results which conform with the Consolidated Standards of Reporting Trials and the Recommendations for Interventional Trials will be published for dissemination in peer-reviewed journals and conference proceedings.

    TRIAL REGISTRATION NUMBER: ACTRN12619000379112.

    Matched MeSH terms: Mobile Applications*
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