Displaying publications 1 - 20 of 83 in total

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  1. Lim WY, Morton RL, Turner RM, Jenkins MC, Guitera P, Irwig L, et al.
    JAMA Dermatol, 2018 04 01;154(4):420-427.
    PMID: 29490373 DOI: 10.1001/jamadermatol.2018.0021
    Importance: The standard model of follow-up posttreatment of localized melanoma relies on clinician detection of recurrent or new melanoma, through routinely scheduled clinics (clinician-led surveillance). An alternative model is to increase reliance on patient detection of melanoma, with fewer scheduled visits and increased support for patients' skin self-examination (SSE) (eg, using smartphone apps to instruct, prompt and record SSE, and facilitate teledermatology; patient-led surveillance).

    Objective: To determine the proportion of adults treated for localized melanoma who prefer the standard scheduled visit frequency (as per Australian guideline recommendations) or fewer scheduled visits (adapted from the Melanoma Follow-up [MELFO] study of reduced follow-up).

    Design, Setting, and Participants: This survey study used a telephone interview for surveillance following excision of localized melanoma at an Australian specialist center. We invited a random sample of 400 patients who had completed treatment for localized melanoma in 2014 to participate. They were asked about their preferences for scheduled follow-up, and experience of follow-up in the past 12 months. Those with a recurrent or new primary melanoma diagnosed by the time of interview (0.8-1.7 years since first diagnosis) were asked about how it was first detected and treated. SSE practices were also assessed.

    Main Outcomes and Measures: Proportion preferring standard vs fewer scheduled clinic visits, median delay between detection and treatment of recurrent or new primary melanoma, and SSE practices.

    Results: Of the 262 people who agreed to be interviewed, the mean (SD) age was 64.3 (14.3) years, and 93 (36%) were women. Among the 230 people who did not have a recurrent or new primary melanoma, 149 vs 81 preferred the standard vs fewer scheduled clinic visits option (70% vs 30% after adjusting for sampling frame). Factors independently associated with preferring fewer visits were a higher disease stage, melanoma on a limb, living with others, not having private health insurance, and seeing a specialist for another chronic condition. The median delay between first detection and treatment of recurrent or new primary melanoma was 7 and 3 weeks, respectively. Only 8% missed a scheduled visit, while 40% did not perform SSE or did so at greater than 3-month intervals.

    Conclusions and Relevance: Some patients with melanoma may prefer fewer scheduled visits, if they are supported to do SSE and there is rapid clinical review of anything causing concern (patient-led surveillance).

    Matched MeSH terms: Smartphone
  2. Ching SM, Yee A, Ramachandran V, Sazlly Lim SM, Wan Sulaiman WA, Foo YL, et al.
    PLoS One, 2015;10(10):e0139337.
    PMID: 26431511 DOI: 10.1371/journal.pone.0139337
    This study was initiated to determine the psychometric properties of the Smart Phone Addiction Scale (SAS) by translating and validating this scale into the Malay language (SAS-M), which is the main language spoken in Malaysia. This study can distinguish smart phone and internet addiction among multi-ethnic Malaysian medical students. In addition, the reliability and validity of the SAS was also demonstrated.
    Matched MeSH terms: Smartphone
  3. Correia JC, Meraj H, Teoh SH, Waqas A, Ahmad M, Lapão LV, et al.
    Bull World Health Organ, 2021 Mar 01;99(3):209-219B.
    PMID: 33716343 DOI: 10.2471/BLT.19.250068
    Objective: To determine the effectiveness of telemedicine in the delivery of diabetes care in low- and middle-income countries.

    Methods: We searched seven databases up to July 2020 for randomized controlled trials investigating the effectiveness of telemedicine in the delivery of diabetes care in low- and middle-income countries. We extracted data on the study characteristics, primary end-points and effect sizes of outcomes. Using random effects analyses, we ran a series of meta-analyses for both biochemical outcomes and related patient properties.

    Findings: We included 31 interventions in our meta-analysis. We observed significant standardized mean differences of -0.38 for glycated haemoglobin (95% confidence interval, CI: -0.52 to -0.23; I2 = 86.70%), -0.20 for fasting blood sugar (95% CI: -0.32 to -0.08; I2 = 64.28%), 0.81 for adherence to treatment (95% CI: 0.19 to 1.42; I2 = 93.75%), 0.55 for diabetes knowledge (95% CI: -0.10 to 1.20; I2 = 92.65%) and 1.68 for self-efficacy (95% CI: 1.06 to 2.30; I2 = 97.15%). We observed no significant treatment effects for other outcomes, with standardized mean differences of -0.04 for body mass index (95% CI: -0.13 to 0.05; I2 = 35.94%), -0.06 for total cholesterol (95% CI: -0.16 to 0.04; I2 = 59.93%) and -0.02 for triglycerides (95% CI: -0.12 to 0.09; I2 = 0%). Interventions via telephone and short message service yielded the highest treatment effects compared with services based on telemetry and smartphone applications.

    Conclusion: Although we determined that telemedicine is effective in improving several diabetes-related outcomes, the certainty of evidence was very low due to substantial heterogeneity and risk of bias.

    Matched MeSH terms: Smartphone
  4. Nor Azee Azwa Kamarudin, Afifah Adilah Asshaari
    Q Bulletin, 2020;1(29):46-55.
    MyJurnal
    Preschool children are one of the major target groups of the Oral Health Program, Ministry of Health Malaysia. However, caries prevalence of preschool children due to unmet treatment needs remains high. Thus, it is imperative for preschool children to receive dental treatment to maintain or restore function and aesthetics, prevent premature tooth loss and improve their quality of life. We aimed to increase the percentage of preschool children receiving dental treatment at kindergartens from 9.8% to 30% in a year. A cross-sectional study was conducted in January 2015 to March 2015 to identify factors contributing to low percentage of preschool children receiving dental treatment using a structured questionnaire modified and adapted from literatures. Ten kindergartens in Machang District were randomly selected, and a total of 200 preschool children, 180 parents and 13 dental therapists in Machang District were recruited for this study. Remedial measures were implemented in April 2015 until September 2015, followed by a post-remedial evaluation in October 2015 to December 2019. The factors contributing to low percentage included inconvenient visit schedule, lack of monitoring system, preschool children at kindergartens refusing dental treatment, and lack of oral health knowledge and awareness among parents. A series of interventions were introduced including improvement of care process, systematic planned visits, and formation of a dedicated team for kindergartens. Oral Health Education and seminars were given to parents. Supportive environment and innovations were created, including colorful attire, cartoon accessories and Benzo Kids’ eye-wear tools. The Benzo Kids functioned as a smart phone holder for a child to watch their favourite video during treatment to divert the child’s attention and reduce anxiety. The percentage of preschool children receiving dental treatment at kindergartens increased from 9.8% (2014) to 55.9% (2019), which exceeded the initial target of 30%. This study has had a significant impact on the number of deciduous teeth with dental caries of these preschool children when they progress to primary one. The HMIS data showed a decreasing trend of dental caries per 100 children from 80(2013) to 58(2019).
    Matched MeSH terms: Smartphone
  5. Kumar R, Khan FU, Sharma A, Aziz IB, Poddar NK
    Curr Med Chem, 2021 Apr 04.
    PMID: 33820515 DOI: 10.2174/0929867328666210405114938
    There is substantial progress in artificial intelligence (AI) algorithms and their medical sciences applications in the last two decades. AI-assisted programs have already been established for remotely health monitoring using sensors and smartphones. A variety of AI-based prediction models available for the gastrointestinal inflammatory, non-malignant diseases, and bowel bleeding using wireless capsule endoscopy, electronic medical records for hepatitis-associated fibrosis, pancreatic carcinoma using endoscopic ultrasounds. AI-based models may be of immense help for healthcare professionals in the identification, analysis, and decision support using endoscopic images to establish prognosis and risk assessment of patient's treatment using multiple factors. Although enough randomized clinical trials are warranted to establish the efficacy of AI-algorithms assisted and non-AI based treatments before approval of such techniques from medical regulatory authorities. In this article, available AI approaches and AI-based prediction models for detecting gastrointestinal, hepatic, and pancreatic diseases are reviewed. The limitation of AI techniques in such disease prognosis, risk assessment, and decision support are discussed.
    Matched MeSH terms: Smartphone
  6. Deverell L, Bhowmik J, Lau BT, Al Mahmud A, Sukunesan S, Islam FMA, et al.
    PMID: 32643468 DOI: 10.1080/17483107.2020.1785565
    PURPOSE: Orientation and Mobility (O&M) professionals teach people with low vision or blindness to use specialist assistive technologies to support confident travel, but many O&M clients now prefer a smartphone. This study aimed to investigate what technology O&M professionals in Australia and Malaysia have, use, like, and want to support their client work, to inform the development of O&M technologies and build capacity in the international O&M profession.

    MATERIALS AND METHODS: A technology survey was completed by professionals (n = 36) attending O&M workshops in Malaysia. A revised survey was completed online by O&M specialists (n = 31) primarily in Australia. Qualitative data about technology use came from conferences, workshops and interviews with O&M professionals. Descriptive statistics were analysed together with free-text data.

    RESULTS: Limited awareness of apps used by clients, unaffordability of devices, and inadequate technology training discouraged many O&M professionals from employing existing technologies in client programmes or for broader professional purposes. Professionals needed to learn smartphone accessibility features and travel-related apps, and ways to use technology during O&M client programmes, initial professional training, ongoing professional development and research.

    CONCLUSIONS: Smartphones are now integral to travel with low vision or blindness and early-adopter O&M clients are the travel tech-experts. O&M professionals need better initial training and then regular upskilling in mainstream O&M technologies to expand clients' travel choices. COVID-19 has created an imperative for technology laggards to upskill for O&M tele-practice. O&M technology could support comprehensive O&M specialist training and practice in Malaysia, to better serve O&M clients with complex needs.Implications for rehabilitationMost orientation and mobility (O&M) clients are travelling with a smartphone, so O&M specialists need to be abreast of mainstream technologies, accessibility features and apps used by clients for orientation, mobility, visual efficiency and social engagement.O&M specialists who are technology laggards need human-guided support to develop confidence in using travel technologies, and O&M clients are the experts. COVID-19 has created an imperative to learn skills for O&M tele-practice.Affordability is a significant barrier to O&M professionals and clients accessing specialist travel technologies in Malaysia, and to O&M professionals upgrading technology in Australia.Comprehensive training for O&M specialists is needed in Malaysia to meet the travel needs of clients with low vision or blindness who also have physical, cognitive, sensory or mental health complications.

    Matched MeSH terms: Smartphone
  7. Akkawi ME, Nik Mohamed MH, Md Aris MA
    PMID: 32695426 DOI: 10.1186/s40545-020-00236-0
    Background: Potentially inappropriate prescribing (PIP) is associated with the incidence of adverse drug reactions, drug-related hospitalization and other negative outcomes in older adults. After hospitalization, older adults might be discharged with several types of PIPs. Studies have found that the lack of healthcare professionals' (HCPs) knowledge regarding PIP is one of the major contributing factors in this issue. The purpose of this study is to investigate the impact of a multifaceted intervention on physicians' and clinical pharmacists' behavior regarding potentially inappropriate medication (PIM) and potential prescribing omission (PPO) among hospitalized older adults.

    Methods: This is a before-and-after study that took place in a tertiary Malaysian hospital. Discharge medications of patients ≥65 years old were reviewed to identify PIMs/PPOs using version 2 of the STOPP/START criteria. The prevalence and pattern of PIM/PPO before and after the intervention were compared. The intervention targeted the physicians and clinical pharmacists and it consisted of academic detailing and a newly developed smartphone application (app).

    Results: The study involved 240 patients before (control group) and 240 patients after the intervention. The prevalence of PIM was 22% and 27% before and after the intervention, respectively (P = 0.213). The prevalence of PPO in the intervention group was significantly lower than that in the control group (42% Vs. 53.3%); P = 0.014. This difference remained statistically significant after controlling for other variables (P = 0.015). The intervention was effective in reducing the two most common PPOs; the omission of vitamin D supplements in patients with a history of falls (P = 0.001) and the omission of angiotensin converting enzyme inhibitor in patients with coronary artery disease (P = 0.03).

    Conclusions: The smartphone app coupled with academic detailing was effective in reducing the prevalence of PPO at discharge. However, it did not significantly affect the prevalence or pattern of PIM.

    Matched MeSH terms: Smartphone
  8. Daphne Clemente, Nurul Amiella Abdullah, ZurianahJusmin Jasmin, Muhammad Syafiq Abdullah, Helen Benedict Lasimbang, Wendy Diana Shoesmith, et al.
    MyJurnal
    Introduction: Continuous quality improvement of system is essential to improve efficiency of working environ- ment. Limited financial allocation in low resource setting results in the vicious circle of having inadequate money to purchase a new system and print paper documents that are required for the operation of clinic. A staff-initiated system improvement with the name of “PRW UMS Staff Portal” was attempted to break-free from the vicious cycle. Methods: An online system covering different aspects of routine clinical work of healthcare workers was created in Dec 2019 and implemented in Feb 2020 using Google SiteTM by the nurses of a local university community clinic, which included: submission of daily reports of nurses and assistant medical officers, submission of reports of all programmes conducted by the clinic, surveillance of health status of working staffs, announcement and request of working roster, archiving of documents, and medication inventory. The system could only be accessed using official working email for general documents while accesses to sensitive documents were restricted to relevant staffs to pro- tect privacy and confidentiality of information. Qualitative interviews were performed with all nursing staff involved. Results: Qualitative feeling of improvement in coordination of workflow was reported by all 23 staffs working in the clinic in view of the easy access of system using smartphone and computer at workstation. It also reduced the need to move away from the working station in order to access, replenish, or submit the printed documents and reports. Significant amount of paper and printing were saved monthly. Conclusions: Despite positive feedback from the staffs, the system requires further improvement in terms of function and security. Further evaluation on cost-efficiency of the system can be done to promote the system to other universities.

    Matched MeSH terms: Smartphone
  9. Segaran Ramodran, Lenny Seputri Masse, Nurul Hanis Syazwan Irawan, Suhailah Saniman
    MyJurnal
    Introduction: Smartphone has become an essential Smart-tool for IT-based learning among university students. How- ever, excessive use of smartphones can be addictive leading to psychological distress, poor academic performance, social isolation and depression. In the context of University Malaysia Sabah (UMS), the issue of contention is whether smartphone addiction is a problem among nursing undergraduate students and thus the justification for this study. This study evaluated the pattern of usage smartphone and addiction among nursing students in UMS. Methods: The study deployed a cross-sectional survey design involving 100 (N) respondents selected through clustered convenient sampling from year 1(n=35), year 2 (n=35) and year 3 (n=30) nursing students who are currently pursuing their di- ploma study in UMS. Ethical approval was obtained from the Research Ethics Committee of UMS as well-informed consent from respondents. The study tool consisted of a well-establish validated questionnaire benchmarked from a previous study (reliability Cronbach α= 0.78) which captured respondents’ socio-demographics, smartphone us- age characteristic proforma and Smart Addiction Scale (SAS). Results: Among 100 nursing students in this study, 78% (n=78) of them had high smartphone usageaveraging 4.3 hours daily. The overall prevalence of smartphone addiction among nursing students in this study was 25% (n=25). Male student nurses significantly had higher smart- phone addiction scores compared to female students (p=0.01). Likewise, year 3 students had higher addiction scores compared to their peers in year 2 or year 1 (p=0.002). Conclusion: findings from this study imply that smartphone addiction affects 1 in 4 nursing students in UMS and there is a need to develop ‘digital detox” strategies to address the issue.
    Matched MeSH terms: Smartphone
  10. Khoo LS, Hasmi AH, Mahmood MS, Vanezis P
    Forensic Sci Int, 2016 Sep;266:e4-e9.
    PMID: 27567043 DOI: 10.1016/j.forsciint.2016.08.019
    An underwater disaster can be declared when a maritime accident occurred or when an aircraft is plunged into water area, be it ocean, sea or river. Nevertheless, handling of human remains in an underwater recovery operation is often a difficult and demanding task as working conditions may be challenging with poor to no visibility, location of remains at considerable depths and associated hazards from surrounding water. A case of the recent helicopter crash, into a famous river in Sarawak, domiciled by huge crocodiles, is discussed in this paper. Search and recovery team as well as the combat divers from the Special Elite Troop Commando, known as VAT 69, were deployed to the scene to perform the underwater recovery to search for all the victims on board involving five Malaysians with a pilot of Philippines nationality. This paper highlights the limitations and challenges faced during the underwater search and recovery. All the bodies recovered were in moderate decomposition stage with crushed injuries and mutilated face and body. A simple and conventional fingerprint technique were used to record the fingerprint. The prints impressions were later photographed using a smartphone and transferred back to the RMP headquarters in Kuala Lumpur for fingerprint match by using WhatsApp Messenger, a phone application. All the first five victims were identified within an average of 10min. The last victim recovered was the pilot. For foreign nationals, the Immigration Department of Malaysia will record the prints of both index fingers only. The lifting of the fingerprint of the last victim was the most challenging in which only one index finger left that can be used for comparison. A few techniques were attempted using the black printer's ink, glass and tape techniques for the last victim. Subsequently, images of the prints impression were taken using the same smartphone with additional macro lens attached to it to enhance the resolution. The images were transferred to the RMP headquarters through WhatsApp Messenger. The prints were confirmed to be the pilot 20min later.
    Matched MeSH terms: Smartphone
  11. Silva H, Chellappan K, Karunaweera N
    Comput Math Methods Med, 2021;2021:4208254.
    PMID: 34873414 DOI: 10.1155/2021/4208254
    Skin lesions are a feature of many diseases including cutaneous leishmaniasis (CL). Ulcerative lesions are a common manifestation of CL. Response to treatment in such lesions is judged through the assessment of the healing process by regular clinical observations, which remains a challenge for the clinician, health system, and the patient in leishmaniasis endemic countries. In this study, image processing was initially done using 40 CL lesion color images that were captured using a mobile phone camera, to establish a technique to extract features from the image which could be related to the clinical status of the lesion. The identified techniques were further developed, and ten ulcer images were analyzed to detect the extent of inflammatory response and/or signs of healing using pattern recognition of inflammatory tissue captured in the image. The images were preprocessed at the outset, and the quality was improved using the CIE L∗a∗b color space technique. Furthermore, features were extracted using the principal component analysis and profiled using the signal spectrogram technique. This study has established an adaptive thresholding technique ranging between 35 and 200 to profile the skin lesion images using signal spectrogram plotted using Signal Analyzer in MATLAB. The outcome indicates its potential utility in visualizing and assessing inflammatory tissue response in a CL ulcer. This approach is expected to be developed further to a mHealth-based prediction algorithm to enable remote monitoring of treatment response of cutaneous leishmaniasis.
    Matched MeSH terms: Smartphone
  12. Kalid N, Zaidan AA, Zaidan BB, Salman OH, Hashim M, Muzammil H
    J Med Syst, 2017 Dec 29;42(2):30.
    PMID: 29288419 DOI: 10.1007/s10916-017-0883-4
    The growing worldwide population has increased the need for technologies, computerised software algorithms and smart devices that can monitor and assist patients anytime and anywhere and thus enable them to lead independent lives. The real-time remote monitoring of patients is an important issue in telemedicine. In the provision of healthcare services, patient prioritisation poses a significant challenge because of the complex decision-making process it involves when patients are considered 'big data'. To our knowledge, no study has highlighted the link between 'big data' characteristics and real-time remote healthcare monitoring in the patient prioritisation process, as well as the inherent challenges involved. Thus, we present comprehensive insights into the elements of big data characteristics according to the six 'Vs': volume, velocity, variety, veracity, value and variability. Each of these elements is presented and connected to a related part in the study of the connection between patient prioritisation and real-time remote healthcare monitoring systems. Then, we determine the weak points and recommend solutions as potential future work. This study makes the following contributions. (1) The link between big data characteristics and real-time remote healthcare monitoring in the patient prioritisation process is described. (2) The open issues and challenges for big data used in the patient prioritisation process are emphasised. (3) As a recommended solution, decision making using multiple criteria, such as vital signs and chief complaints, is utilised to prioritise the big data of patients with chronic diseases on the basis of the most urgent cases.
    Matched MeSH terms: Smartphone
  13. Bervell B, Al-Samarraie H
    Soc Sci Med, 2019 07;232:1-16.
    PMID: 31035241 DOI: 10.1016/j.socscimed.2019.04.024
    This study distinguished between the application of e-health and m-health technologies in sub-Saharan African (SSA) countries based on the dimensions of use, targeted diseases or health conditions, locations of use, and beneficiaries (types of patients or health workers) in a country specific context. It further characterized the main opportunities and challenges associated with these dimensions across the sub-region. A systematic review of the literature was conducted on 66 published peer reviewed articles. The review followed the scientific process of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines of identification, selection, assessment, synthesis and interpretation of findings. The results of the study showed that m-health was prevalent in usage for promoting information for treatment and prevention of diseases as well as serving as an effective technology for reminders towards adherence. For e-health, the uniqueness lay in data acquisition and patients' records management; diagnosis; training and recruitment. While m-health was never used for monitoring or training and recruitment, e-health on the other hand could not serve the purpose of reminders or for reporting cases from the field. Both technologies were however useful for adherence, diagnosis, disease control mechanisms, information provision, and decision-making/referrals. HIV/AIDS, malaria, and maternal (postnatal and antenatal) healthcare were important in both m-health and e-health interventions mostly concentrated in the rural settings of South Africa and Kenya. ICT infrastructure, trained personnel, illiteracy, lack of multilingual text and voice messages were major challenges hindering the effective usage of both m-health and e-health technologies.
    Matched MeSH terms: Smartphone*
  14. Wan Ismail WS, Sim ST, Tan KA, Bahar N, Ibrahim N, Mahadevan R, et al.
    Perspect Psychiatr Care, 2020 Oct;56(4):949-955.
    PMID: 32363648 DOI: 10.1111/ppc.12517
    PURPOSE: This cross-sectional study examined the cyber-psychological correlates of depression, anxiety, stress, and suicidality among public university students in Klang Valley, Malaysia.

    DESIGN AND METHODS: Participants were randomly selected using multi-stage sampling methods from three public universities in the study location. Participants completed measures of internet and smartphone addictions, depression, anxiety, stress, and suicidality, along with sociodemographic items.

    FINDINGS: At bivariate level, both internet and smartphone addictions were found to have significant positive correlations with depression, anxiety, stress, and suicidality. At multivariate level, only internet addiction emerged as a consistent significant predictor for depression, anxiety, stress, and suicidality.

    PRACTICE IMPLICATIONS: The present findings have implications for mental health professionals to routinely screen for psychological disturbance in young adults who have potential risks for internet addiction.

    Matched MeSH terms: Smartphone*
  15. 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: Smartphone*
  16. Jamadon NK, Busairi N, Syahir A
    Protein Pept Lett, 2018;25(1):90-95.
    PMID: 29237368 DOI: 10.2174/0929866525666171214111503
    BACKGROUND: Mercury (II) ion, Hg2+ is among the most common pollutants with the ability to affect the environment. The implications of their elevation in the environment are mainly due to the industrialization and urbanization process. Current methods of Hg2+ detection primarily depend on sophisticated and expensive instruments. Hence, an alternative and practical way of detecting Hg2+ ions is needed to go beyond these limitations. Here, we report a detection method that was developed using an inhibitive enzymatic reaction that can be monitored through a smartphone. Horseradish peroxidase (HRP) converted 4-aminoantipyrene (4-AAP) into a red colored product which visible with naked eye. A colorless product, on the other hand, was produced indicating the presence of Hg2+ that inhibit the reaction.

    OBJECTIVES: The aim of this study is to develop a colorimetric sensor to detect Hg2+ in water sources using HRP inhibitive assay. The system can be incorporated with a mobile app to make it practical for a prompt in-situ analysis.

    METHODS: HRP enzyme was pre-incubated with different concentration of Hg2+ at 37°C for 1 hour prior to the addition of chromogen. The mix of PBS buffer, 4-AAP and phenol which act as a chromogen was then added to the HRP enzyme and was incubated for 20 minutes. Alcohol was added to stop the enzymatic reaction, and the change of colour were observed and analyse using UV-Vis spectrophotometer at 520 nm wavelength. The results were then analysed using GraphPad PRISM 4 for a non-linear regression analysis, and using Mathematica (Wolfram) 10.0 software for a hierarchical cluster analysis. The samples from spectroscopy measurement were directly used for dynamic light scattering (DLS) evaluation to evaluate the changes in HRP size due to Hg2+ malfunctionation. Finally, molecular dynamic simulations comparing normal and malfunctioned HRP were carried out to investigate structural changes of the HRP using YASARA software.

    RESULTS: Naked eye detection and data from UV-Vis spectroscopy showed good selectivity of Hg2+ over other metal ions as a distinctive color of Hg2+ is observed at 0.5 ppm with the IC50 of 0.290 ppm. The mechanism of Hg2+ inhibition towards HRP was further validated using a dynamic light scattering (DLS) and molecular dynamics (MD) simulation to ensure that there is a conformational change in HRP size due to the presence of Hg2+ ions. The naked eye detection can be quantitatively determined using a smartphone app namely ColorAssist, suggesting that the detection signal does not require expensive instruments to be quantified.

    CONCLUSION: A naked-eye colorimetric sensor for mercury ions detection was developed. The colour change due to the presence of Hg2+ can be easily distinguished using an app via a smartphone. Thus, without resorting to any expensive instruments that are mostly laboratory bound, Hg2+ can be easily detected at IC50 value of 0.29 ppm. This is a promising alternative and practical method to detect Hg2+ in the environment.

    Matched MeSH terms: Smartphone*
  17. 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: Smartphone
  18. Tamrin, K.F., Adilah, A.N., Hamdi, M.M., Jong, R.P.
    MyJurnal
    A glucose meter (or glucometer) is a medical device for determining the approximate concentration of glucose in the
    blood by pricking a finger to draw blood sample using a sharp needle. However, diabetic patient has quite slow level in
    wound healing process which causes their fingers constantly in a state of wounded and exposed to bacteria. More
    importantly, two main factors for the weakness of invasive technique is a painful process and cost often because constant
    monitoring of glucose level is very expensive. The main objective of this research is to design and develop a non-invasive
    optical measuring technique to measure body glucose level automatically and painlessly using a laser pointer and a
    smartphone. Images captured by the smartphone is analysed using a Matlab software to determine the refractive index of
    the urine sample. Calibration of the system is performed by correlating the results with that of the glucometer. Both
    results compare well with R-squared value of 92.9%. The system can be potentially used for remote health and patient
    monitoring.
    Matched MeSH terms: Smartphone
  19. Wiki Safarina Narawi, Shaz’ Ain Razak, Nahdiyah Azman
    MyJurnal
    Introduction: Usage of smartphones have increased rapidly because of its importance in our daily life. This led to an increase in incidence of ocular problems among smartphone users. This research was conducted to determine the effect of smartphone usage on accommodation status. Methods: A cross-sectional study was conducted among young adults aged 19 to 30 years old in Management and Science University, Shah Alam. All subjects were asked to use smartphone for 20 minutes. The symptoms and accommodation status were evaluated before and after the smartphone usage. Results: Total subjects showed the mean age of 23.60 ± 2.77 years, 50% (n = 20) were males and 50% (n = 20) were females. The mean smartphone usage per day was 8.60 ± 2.80) hours. After 20 minutes of smartphone usage, subjects complained of tired eyes (92.50%), dry eyes (90.00%), blurred vision (87.50%), and headache (82.50%). Paired t-test showed significant reduction in amplitude of accommodation, monocularly from 9.9 ± 1.9 D to 8.76 ± 2.50 D (p = 0.00), and binocularly from 12.01 ± 1.95 D to 10.96 ± 2.16 D (p = 0.00); monoc- ular accommodative facility from 13.93 ± 3.13 cpm to 11.10 ± 4.32 cpm (p = 0.00) and binocular accommodative facility from 12.70 ± 3.57 cpm to 9.70 ± 4.21 cpm (p = 0.00); positive relative accommodation from -2.72 ± 0.87 D to -2.13 ± 1.28 D (p = 0.00) and increase in lag of accommodation from 0.4 ± 0.26 D to 0.93 ± 0.48 D (p = 0.00). Conclusion: This study shows that there were significance changes on accommodation status after 20 minutes of smartphone usage which can lead to weakness of accommodation.

    Matched MeSH terms: Smartphone
  20. Goh Shu Meng, Swe
    MyJurnal
    Introduction: Smartphone addiction is a hotly debated public health issue and it affects every generation especially the youth and younger generation nowadays (Generation Z / i-Generation) and contributes to the poor mental health status like stress, anxiety and depression. This study is carried out to determine the prevalence of smartphone addic-tion and its association with stress, anxiety and depression among the undergraduate students in Unitversity Malaysia Sabah. Methods: A cross-sectional study was conducted among the undergraduate students in Universiti Malaysia Sabah. A total number of 456 undergraduate students in Universiti Malaysia Sabah with at least a smartphone device were enrolled in the study by stratified random sampling. A self-administered questionnaire, Smartphone Addiction Scale Malay Version (SAS-M) and The Depression, Anxiety and Stress Scale – 21 Items (DASS-21) Malay Version were used for data collection. The prevalence of smartphone addiction, stress, anxiety and depression among un-dergraduate students of Universiti Malaysia Sabah were determined. Simple linear regression was used to determine the effect of smartphone addiction to stress, anxiety and depression. Results: Prevalence of smartphone addiction among undergraduate students in Universiti Malaysia Sabah is 61.2% (95% CI : 56.5%, 65.7%). The prevalence of stress, anxiety and depression among undergraduate students in Universiti Malaysia Sabah are 34.9%, 58.6% and 42.5% respectively. The univariate analysis shows that smartphone addiction is significantly associated with stress (Regression Coeeficient = 0.774, 95% CI 0.54, 1.01 ; P-value
    Matched MeSH terms: Smartphone
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