Displaying publications 1 - 20 of 39 in total

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  1. Hamid TA, Din HM, Bagat MF, Ibrahim R
    Front Public Health, 2021;9:624394.
    PMID: 34026706 DOI: 10.3389/fpubh.2021.624394
    Living arrangement has been reported to have a significant influence on several mental health statuses of older adults, but their social network may confound this association. This study is aimed at examining the interactive effect of living arrangements and social network on the mental health status among older adults in Malaysia. A total of 2,188 Malaysian older adults living nationwide were included in this cross-sectional study. Participants were classified into four groups according to their living arrangements (living alone or not living alone) and social network size (assessed using Lubben's Social Network Scale-6). Poor social network was defined as the lowest quartile (fourth quartile) of the score. Mental health statuses, which include flourishing in life, life satisfaction, cognitive functions, loneliness, depression, and perceived stress, were measured. Multiple linear regression models, adjusted for age, gender, education, and comorbidities, revealed that a good social network was significantly associated with an increase on the flourishing scale scores, regardless of living arrangements. Not living alone and having good social network was significantly associated with increased Montreal Cognitive Assessment scores and decreased loneliness scores. This study found that living arrangements are not always a risk factor for the mental health status of older adults. However, it may be confounded by the level of their social networks. The results suggested that the effects of social network may exceed the impact of living arrangements. It is recommended that health professionals pay more attention to the social networks of older Malaysians to harness its benefits in improving their mental health status.
    Matched MeSH terms: Social Networking*
  2. Ahad A, Tahir M, Aman Sheikh M, Ahmed KI, Mughees A, Numani A
    Sensors (Basel), 2020 Jul 21;20(14).
    PMID: 32708139 DOI: 10.3390/s20144047
    Smart health-care is undergoing rapid transformation from the conventional specialist and hospital-focused style to a distributed patient-focused manner. Several technological developments have encouraged this rapid revolution of health-care vertical. Currently, 4G and other communication standards are used in health-care for smart health-care services and applications. These technologies are crucial for the evolution of future smart health-care services. With the growth in the health-care industry, several applications are expected to produce a massive amount of data in different format and size. Such immense and diverse data needs special treatment concerning the end-to-end delay, bandwidth, latency and other attributes. It is difficult for current communication technologies to fulfil the requirements of highly dynamic and time-sensitive health care applications of the future. Therefore, the 5G networks are being designed and developed to tackle the diverse communication needs of health-care applications in Internet of Things (IoT). 5G assisted smart health-care networks are an amalgamation of IoT devices that require improved network performance and enhanced cellular coverage. Current connectivity solutions for IoT face challenges, such as the support for a massive number of devices, standardisation, energy-efficiency, device density, and security. In this paper, we present a comprehensive review of 5G assisted smart health-care solutions in IoT. We present a structure for smart health-care in 5G by categorizing and classifying existing literature. We also present key requirements for successful deployment of smart health-care systems for certain scenarios in 5G. Finally, we discuss several open issues and research challenges in 5G smart health-care solutions in IoT.
    Matched MeSH terms: Social Networking
  3. Ismael Al-Sanjary O, Ahmed AA, Sulong G
    Forensic Sci Int, 2016 Sep;266:565-572.
    PMID: 27574113 DOI: 10.1016/j.forsciint.2016.07.013
    Forgery is an act of modifying a document, product, image or video, among other media. Video tampering detection research requires an inclusive database of video modification. This paper aims to discuss a comprehensive proposal to create a dataset composed of modified videos for forensic investigation, in order to standardize existing techniques for detecting video tampering. The primary purpose of developing and designing this new video library is for usage in video forensics, which can be consciously associated with reliable verification using dynamic and static camera recognition. To the best of the author's knowledge, there exists no similar library among the research community. Videos were sourced from YouTube and by exploring social networking sites extensively by observing posted videos and rating their feedback. The video tampering dataset (VTD) comprises a total of 33 videos, divided among three categories in video tampering: (1) copy-move, (2) splicing, and (3) swapping-frames. Compared to existing datasets, this is a higher number of tampered videos, and with longer durations. The duration of every video is 16s, with a 1280×720 resolution, and a frame rate of 30 frames per second. Moreover, all videos possess the same formatting quality (720p(HD).avi). Both temporal and spatial video features were considered carefully during selection of the videos, and there exists complete information related to the doctored regions in every modified video in the VTD dataset. This database has been made publically available for research on splicing, Swapping frames, and copy-move tampering, and, as such, various video tampering detection issues with ground truth. The database has been utilised by many international researchers and groups of researchers.
    Matched MeSH terms: Social Networking
  4. Victoria Jonathan
    MyJurnal
    Small accommodation providers are challenged to grow their business due to their limited resources. Although social networking is suggested to assist organization growth, few studies have focused on how owner-managers in the Malaysian hospi-tality industry network and the value they attach to it. This paper presents findings of 10 in-depth interviews of social networking motivation and barrier of owner-managers of small accommodation in Kuching, Malaysia. The findings show that the owner-managers were motivated by the perceived organizational and personal bene-fits of networking with others. However, issues such as social competence and busi-ness concerns were identified as barriers that may limit their participation in network-ing. To overcome these issues, it is suggested that educators, policymakers, and trade associations work together with the owner-managers to address their specific devel-opment and resource needs.
    Matched MeSH terms: Social Networking
  5. Lye GX, Cheng WK, Tan TB, Hung CW, Chen YL
    Sensors (Basel), 2020 Apr 08;20(7).
    PMID: 32276431 DOI: 10.3390/s20072098
    Despite advancements in the Internet of Things (IoT) and social networks, developing an intelligent service discovery and composition framework in the Social IoT (SIoT) domain remains a challenge. In the IoT, a large number of things are connected together according to the different objectives of their owners. Due to this extensive connection of heterogeneous objects, generating a suitable recommendation for users becomes very difficult. The complexity of this problem exponentially increases when additional issues, such as user preferences, autonomous settings, and a chaotic IoT environment, must be considered. For the aforementioned reasons, this paper presents an SIoT architecture with a personalized recommendation framework to enhance service discovery and composition. The novel contribution of this study is the development of a unique personalized recommender engine that is based on the knowledge-desire-intention model and is suitable for service discovery in a smart community. Our algorithm provides service recommendations with high satisfaction by analyzing data concerning users' beliefs and surroundings. Moreover, the algorithm eliminates the prevalent cold start problem in the early stage of recommendation generation. Several experiments and benchmarking on different datasets are conducted to investigate the performance of the proposed personalized recommender engine. The experimental precision and recall results indicate that the proposed approach can achieve up to an approximately 28% higher F-score than conventional approaches. In general, the proposed hybrid approach outperforms other methods.
    Matched MeSH terms: Social Networking
  6. Al-Garadi MA, Khan MS, Varathan KD, Mujtaba G, Al-Kabsi AM
    J Biomed Inform, 2016 08;62:1-11.
    PMID: 27224846 DOI: 10.1016/j.jbi.2016.05.005
    BACKGROUND: The popularity and proliferation of online social networks (OSNs) have created massive social interaction among users that generate an extensive amount of data. An OSN offers a unique opportunity for studying and understanding social interaction and communication among far larger populations now more than ever before. Recently, OSNs have received considerable attention as a possible tool to track a pandemic because they can provide an almost real-time surveillance system at a less costly rate than traditional surveillance systems.

    METHODS: A systematic literature search for studies with the primary aim of using OSN to detect and track a pandemic was conducted. We conducted an electronic literature search for eligible English articles published between 2004 and 2015 using PUBMED, IEEExplore, ACM Digital Library, Google Scholar, and Web of Science. First, the articles were screened on the basis of titles and abstracts. Second, the full texts were reviewed. All included studies were subjected to quality assessment.

    RESULT: OSNs have rich information that can be utilized to develop an almost real-time pandemic surveillance system. The outcomes of OSN surveillance systems have demonstrated high correlations with the findings of official surveillance systems. However, the limitation in using OSN to track pandemic is in collecting representative data with sufficient population coverage. This challenge is related to the characteristics of OSN data. The data are dynamic, large-sized, and unstructured, thus requiring advanced algorithms and computational linguistics.

    CONCLUSIONS: OSN data contain significant information that can be used to track a pandemic. Different from traditional surveys and clinical reports, in which the data collection process is time consuming at costly rates, OSN data can be collected almost in real time at a cheaper cost. Additionally, the geographical and temporal information can provide exploratory analysis of spatiotemporal dynamics of infectious disease spread. However, on one hand, an OSN-based surveillance system requires comprehensive adoption, enhanced geographical identification system, and advanced algorithms and computational linguistics to eliminate its limitations and challenges. On the other hand, OSN is probably to never replace traditional surveillance, but it can offer complementary data that can work best when integrated with traditional data.

    Matched MeSH terms: Social Networking*
  7. Rehman MZ, Zamli KZ, Almutairi M, Chiroma H, Aamir M, Kader MA, et al.
    PLoS One, 2021;16(12):e0259786.
    PMID: 34855771 DOI: 10.1371/journal.pone.0259786
    Team formation (TF) in social networks exploits graphs (i.e., vertices = experts and edges = skills) to represent a possible collaboration between the experts. These networks lead us towards building cost-effective research teams irrespective of the geolocation of the experts and the size of the dataset. Previously, large datasets were not closely inspected for the large-scale distributions & relationships among the researchers, resulting in the algorithms failing to scale well on the data. Therefore, this paper presents a novel TF algorithm for expert team formation called SSR-TF based on two metrics; communication cost and graph reduction, that will become a basis for future TF's. In SSR-TF, communication cost finds the possibility of collaboration between researchers. The graph reduction scales the large data to only appropriate skills and the experts, resulting in real-time extraction of experts for collaboration. This approach is tested on five organic and benchmark datasets, i.e., UMP, DBLP, ACM, IMDB, and Bibsonomy. The SSR-TF algorithm is able to build cost-effective teams with the most appropriate experts-resulting in the formation of more communicative teams with high expertise levels.
    Matched MeSH terms: Social Networking*
  8. Fatumo S, Ebenezer TE, Ekenna C, Isewon I, Ahmad U, Adetunji C, et al.
    PMID: 32742665 DOI: 10.1017/gheg.2020.3
    Africa plays a central importance role in the human origins, and disease susceptibility, agriculture and biodiversity conservation. Nigeria as the most populous and most diverse country in Africa, owing to its 250 ethnic groups and over 500 different native languages is imperative to any global genomic initiative. The newly inaugurated Nigerian Bioinformatics and Genomics Network (NBGN) becomes necessary to facilitate research collaborative activities and foster opportunities for skills' development amongst Nigerian bioinformatics and genomics investigators. NBGN aims to advance and sustain the fields of genomics and bioinformatics in Nigeria by serving as a vehicle to foster collaboration, provision of new opportunities for interactions between various interdisciplinary subfields of genomics, computational biology and bioinformatics as this will provide opportunities for early career researchers. To provide the foundation for sustainable collaborations, the network organises conferences, workshops, trainings and create opportunities for collaborative research studies and internships, recognise excellence, openly share information and create opportunities for more Nigerians to develop the necessary skills to exceed in genomics and bioinformatics. NBGN currently has attracted more than 650 members around the world. Research collaborations between Nigeria, Africa and the West will grow and all stakeholders, including funding partners, African scientists, researchers across the globe, physicians and patients will be the eventual winners. The exponential membership growth and diversity of research interests of NBGN just within weeks of its establishment and the unanticipated attendance of its activities suggest the significant importance of the network to bioinformatics and genomics research in Nigeria.
    Matched MeSH terms: Social Networking*
  9. A Almusaylim Z, Jhanjhi NZ, Alhumam A
    Sensors (Basel), 2020 Oct 22;20(21).
    PMID: 33105891 DOI: 10.3390/s20215997
    The rapid growth of the Internet of Things (IoT) and the massive propagation of wireless technologies has revealed recent opportunities for development in various domains of real life, such as smart cities and E-Health applications. A slight defense against different forms of attack is offered for the current secure and lightweight Routing Protocol for Low Power and Lossy Networks (RPL) of IoT resource-constrained devices. Data packets are highly likely to be exposed in transmission during data packet routing. The RPL rank and version number attacks, which are two forms of RPL attacks, can have critical consequences for RPL networks. The studies conducted on these attacks have several security defects and performance shortcomings. In this research, we propose a Secure RPL Routing Protocol (SRPL-RP) for rank and version number attacks. This mainly detects, mitigates, and isolates attacks in RPL networks. The detection is based on a comparison of the rank strategy. The mitigation uses threshold and attack status tables, and the isolation adds them to a blacklist table and alerts nodes to skip them. SRPL-RP supports diverse types of network topologies and is comprehensively analyzed with multiple studies, such as Standard RPL with Attacks, Sink-Based Intrusion Detection Systems (SBIDS), and RPL+Shield. The analysis results showed that the SRPL-RP achieved significant improvements with a Packet Delivery Ratio (PDR) of 98.48%, a control message value of 991 packets/second, and an average energy consumption of 1231.75 joules. SRPL-RP provided a better accuracy rate of 98.30% under the attacks.
    Matched MeSH terms: Social Networking
  10. Guraya SS, Guraya SY, Yusoff MSB
    BMC Med Educ, 2021 Jul 12;21(1):381.
    PMID: 34247617 DOI: 10.1186/s12909-021-02802-9
    BACKGROUND: Despite a rapid rise of use of social media in medical disciplines, uncertainty prevails among healthcare professionals for providing medical content on social media. There are also growing concerns about unprofessional behaviors and blurring of professional identities that are undermining digital professionalism. This review tapped the literature to determine the impact of social media on medical professionalism and how can professional identities and values be maintained in digital era.

    METHODS: We searched the databases of PubMed, ProQuest, ScienceDirect, Web of Science, and EBSCO host using (professionalism AND (professionalism OR (professional identity) OR (professional behaviors) OR (professional values) OR (professional ethics))) AND ((social media) AND ((social media) OR (social networking sites) OR Twitter OR Facebook)) AND (health professionals). The research questions were based on sample (health professionals), phenomenon of interest (digital professionalism), design, evaluation and research type. We screened initial yield of titles using pre-determined inclusion and exclusion criteria and selected a group of articles for qualitative analysis. We used the Biblioshiny® software package for the generation of popular concepts as clustered keywords.

    RESULTS: Our search yielded 44 articles with four leading themes; marked rise in the use of social media by healthcare professionals and students, negative impact of social media on digital professionalism, blurring of medical professional values, behaviors, and identity in the digital era, and limited evidence for teaching and assessing digital professionalism. A high occurrence of violation of patient privacy, professional integrity and cyberbullying were identified. Our search revealed a paucity of existing guidelines and policies for digital professionalism that can safeguard healthcare professionals, students and patients.

    CONCLUSIONS: Our systematic review reports a significant rise of unprofessional behaviors in social media among healthcare professionals. We could not identify the desired professional behaviors and values essential for digital identity formation. The boundaries between personal and professional practices are mystified in digital professionalism. These findings call for potential educational ramifications to resurrect professional virtues, behaviors and identities of healthcare professionals and students.

    Matched MeSH terms: Social Networking
  11. Jebril AH, Sali A, Ismail A, Rasid MFA
    Sensors (Basel), 2018 Sep 27;18(10).
    PMID: 30262793 DOI: 10.3390/s18103257
    As a possible implementation of a low-power wide-area network (LPWAN), Long Range (LoRa) technology is considered to be the future wireless communication standard for the Internet of Things (IoT) as it offers competitive features, such as a long communication range, low cost, and reduced power consumption, which make it an optimum alternative to the current wireless sensor networks and conventional cellular technologies. However, the limited bandwidth available for physical layer modulation in LoRa makes it unsuitable for high bit rate data transfer from devices like image sensors. In this paper, we propose a new method for mangrove forest monitoring in Malaysia, wherein we transfer image sensor data over the LoRa physical layer (PHY) in a node-to-node network model. In implementing this method, we produce a novel scheme for overcoming the bandwidth limitation of LoRa. With this scheme the images, which requires high data rate to transfer, collected by the sensor are encrypted as hexadecimal data and then split into packets for transfer via the LoRa physical layer (PHY). To assess the quality of images transferred using this scheme, we measured the packet loss rate, peak signal-to-noise ratio (PSNR), and structural similarity (SSIM) index of each image. These measurements verify the proposed scheme for image transmission, and support the industrial and academic trend which promotes LoRa as the future solution for IoT infrastructure.
    Matched MeSH terms: Social Networking
  12. Houghton LC, Gibbons MP, Shekelle J, Oakley-Girvan I, Watterson JL, Magsamen-Conrad K, et al.
    BMC Public Health, 2021 10 07;21(1):1805.
    PMID: 34620141 DOI: 10.1186/s12889-021-11775-9
    BACKGROUND: Physical activity is central to chronic disease prevention. Low resource mothers face structural barriers preventing them from increasing their physical activity to reduce their chronic disease risk. We co-designed an intervention, with the ultimate goal of building social cohesion through social media to increase physical activity for low resourced mothers in urban settings.

    METHODS: In 2019, we interviewed 10 mothers of children (social media. Bringing mothers and researchers together in a co-design workshop, we identified types of physical activities they would enjoy participating in, the ideal time to do so, the kind of childcare they needed, and their preferences for communication with the community champion. The interviews and workshop highlighted the need for a community space that mothers and children could co-occupy. The intervention was designed to be 3 months' worth of sample programming with one activity per week, rotating between dance, yoga, food pantry visits and group playdates. Participants were invited to bring their children to a space with one room for the 'participants only' activity and a second room in which professional childcare providers supervised the children.

    CONCLUSIONS: Through this two-phased co-design process, we created an intervention with mothers in an urban community with the goal of using social media to bring them together for wellness, primarily through increased physical activity. Despite the co-design of this intervention with a specific community, there are some universal applications of our findings, and of the use of co-design workshops, to other settings.

    Matched MeSH terms: Social Networking
  13. Foong HF, Ibrahim R, Hamid TA, Haron SA
    BMC Geriatr, 2021 12 07;21(1):679.
    PMID: 34876024 DOI: 10.1186/s12877-021-02617-9
    BACKGROUND: Physical fitness declines with age. Low levels of physical fitness appear to be a risk factor of cognitive impairment. Literature elucidates social networking as a potential moderator for the relationship between physical fitness and cognitive impairment. Present study aimed to examine the relationship between physical fitness and cognitive function among community-dwelling older Malaysians, and if social network moderates said relationship.

    METHODS: Data of 2322 representative community-dwelling older adults were obtained from the first wave of the "Longitudinal Study on Neuroprotective Model for Healthy Longevity" national survey. Cognitive function, physical fitness and social network was assessed through Malay-version of Mini-Mental State Examination, 2-min step test and Lubben Social Network Scale-6 respectively. Moderated hierarchical multiple regression was employed to investigate if social networks moderate the relationship between physical fitness and cognitive function.

    RESULTS: A positive association between physical fitness and cognitive function were found upon controlling for covariates. Moderated hierarchical multiple regression revealed social networks to be a moderator of the association between physical fitness and cognitive function. When physical fitness was low, those with small social network revealed lowest cognitive function.

    CONCLUSIONS: Social networks moderated the relationship between physical fitness and cognitive function as older adults with low levels of physical fitness and small social networks revealed lowest cognitive function. Therefore, community support or peer-based interventions among physically unfit older adults should be implemented to promote cognitive function.

    Matched MeSH terms: Social Networking
  14. Guraya SS, Guraya SY, Harkin DW, Ryan Á, Mat Nor MZB, Yusoff MSB
    Med Educ Online, 2021 Dec;26(1):1983926.
    PMID: 34775927 DOI: 10.1080/10872981.2021.1983926
    BACKGROUND: Medical professionalism education intends to produce virtuous and humanistic healthcare professionals who demonstrate perseverance and professional integrity. However, today's medicine has embodied a mammoth transformation of medical practice towards sns and the digital realm. Such paradigm shift has challenged the medical professional's values, behaviors, and identities, and the distinct boundaries between personal and professional lives are blurred. This study aims to develop a framework for healthcare professionals coping with the challenges of medical professionalism in the digital realm.

    METHODS: We followed a systematic approach for the development of a framework about e-professionalism. Qualitative data was collected from a systematic review and a delphi study, while quantitative data was collected by administering a validated questionnaire social networking sites for medical education (snsme). Subsequently, categorization of the selected data and identifying concepts, deconstruction and further categorizing concepts (philosophical triangulation), integration of concepts (theoretical triangulation), and synthesis and resynthesis of concepts were performed.

    RESULTS: The initial process yielded six overlapping concepts from personal, professional, character (implicit) and characteristic (explicit) domains: environment, behavior, competence, virtues, identity, and mission. Further integration of data was done for the development of the medical education e-professionalism (meep) framework with a central concept of a commitment to mission. The mission showed deep connections with values (conformity, beneficence, universalism, and integrity), behaviours (communication, self-awareness, tolerance, power), and identity (reflection, conscientiousness, self-directed, self-actualization). The data demonstrated that all medical professionals require updated expertise in sns participation.

    CONCLUSION: The meep framework recognises a mission-based social contract by the medical community. This mission is largely driven by professional values, behaviors and identity. Adherence to digital standards, accountability, empathy, sensitivity, and commitment to society are essential elements of the meep framework.

    Matched MeSH terms: Social Networking
  15. Wong SL, McLellan R
    J Adolesc, 2024 Feb;96(2):305-321.
    PMID: 37997033 DOI: 10.1002/jad.12276
    INTRODUCTION: Adolescents' social network sites (SNS) use is prominent during the developmental period. Various adolescents' motivations for using  SNS have been reported. However, there is a lack of psychological perspectives in understanding the reasons for adolescents to use SNS. This study explored adolescents' motivation to use SNS, and a comprehensive psychological framework was used to dismantle adolescents' reasons and purposes for using SNS. Adolescents' ways of using SNS were explored to contextualize teens' SNS use.

    METHODS: Semistructured interviews with 18 Malaysian adolescents (Mage  = 15; 50% female; 10 Malay, 5 Chinese, 1 Indian, 1 Other Bumiputera) were conducted. The qualitative data were collected in 2021 in Malaysia through online video calls. Reflexive thematic analysis was the analytic approach.

    RESULTS: Six motivations for using SNS were identified: social interaction, content subscription and exploration, emotional support, participation, distraction, and self-expression. Each of the motivations was explicitly linked with different psychological needs. Adolescents were found to use SNS differently in three aspects: deliberate use (i.e., on purpose of use and time spent on SNS), content-selective, and audience-selective.

    CONCLUSION: This study demonstrates that psychological needs are the psychological reasons for adolescents' motivations for using SNS. Adolescence developmental tasks like strong peer identification and identity explorations are parts of the basic and compound psychological needs. Teens are pursuing a sense of self-coherence by using SNS. Adolescents demonstrated to use SNS differently at being deliberate and selective, which is speculated to be a result of the conflict between reflexive and reflective thought processes during SNS use.

    Matched MeSH terms: Social Networking
  16. Erfianti, Levina Gendis, Nor Diana Mohd Mahudin
    MyJurnal
    Digital Millennials (i.e., people born from 1980 to 2004) have often been portrayed as quick to embrace emerging technologies. The envisioned future of Industry 4.0 entails the blending of hardware, software, and people to complete work; and given their affinity for digital resources, technology, and social networking applications, the Millennials could be regarded as a much-needed asset in this future workforce. However, systematic research on how this cohort understands and reacts to safety issues surrounding the use of technologies has been lacking. In particular, behaviours such as impulsivity, online disinhibition, and risk-taking among them remain unclear. The present study investigated this gap with a sample of 203 Millennials of various nationality groups. Using the short version of the Urgency, Premeditation, Perseverance, Sensation Seeking, and Positive Urgency (Short UPPS-P) scale, the Revised Online Disinhibition Scale, and the Online Risky Behaviour scale, the results indicated that the most significant predictors of online risk-taking behaviours are lack of premeditation, positive urgency, and toxic disinhibition. Interestingly, though not hypothesised, was gender as a significant predictor of the outcome. The findings implied that these variables might be the most relevant target areas for interventions that could modify risky behaviours in cyberspace. The study’s findings are discussed in relation to the key challenges associated with e-safety where the future trends would be heading towards the gig economy and crowd-working.
    Matched MeSH terms: Social Networking
  17. Hajli MN, Shanmugam M, Hajli A, Khani AH, Wang Y
    Inform Health Soc Care, 2015 Dec;40(4):334-344.
    PMID: 25068990 DOI: 10.3109/17538157.2014.924950
    The emergence of Web 2.0 technologies has already been influential in many industries, and Web 2.0 applications are now beginning to have an impact on health care. These new technologies offer a promising approach for shaping the future of modern health care, with the potential for opening up new opportunities for the health care industry as it struggles to deal with challenges including the need to cut costs, the increasing demand for health services and the increasing cost of medical technology. Social media such as social networking sites are attracting more individuals to online health communities, contributing to an increase in the productivity of modern health care and reducing transaction costs. This study therefore examines the potential effect of social technologies, particularly social media, on health care development by adopting a social support/transaction cost perspective. Viewed through the lens of Information Systems, social support and transaction cost theories indicate that social media, particularly online health communities, positively support health care development. The results show that individuals join online health communities to share and receive social support, and these social interactions provide both informational and emotional support.
    Matched MeSH terms: Social Networking
  18. Menon V
    MyJurnal
    Background: Facebook is a popular social networking site with more than five hundred million users. This study assessed whether Facebook Groups can be used to teach clinical reasoning skills.
    Methods: Sixty-seven final year medical students from the International Medical University, Malaysia, were exposed to interactive online learning through a Facebook Group for a period of six months in this study. The purpose was to determine if supervised interactive online learning could be used to augment the deep learning that comes from learning medicine at the bedside of patients. The interactive online discussions were entirely triggered by clinical problems encountered in the medical wards of the general hospital to which these students were attached.
    Results: A total of 10 topics were discussed in this forum during the duration of this study and an example of one such discussion is provided to illustrate the informal nature of this kind of learning. The results showed a high degree of student involvement with 76 percent of students actively participating in the discussions.
    Conclusion: The high degree of voluntary participation in the clinical discussions through the Facebook Group in this study tells us that Facebook Groups are a good way of engaging students for learning and can be used in medical education to stimulate creative clinical thinking.
    Matched MeSH terms: Social Networking
  19. Mohd Roffeei SH, Abdullah N, Basar SK
    Int J Med Inform, 2015 May;84(5):375-85.
    PMID: 25701266 DOI: 10.1016/j.ijmedinf.2015.01.015
    PURPOSE: This study examined the types of social support messages exchanged between parents and/or caregivers of children with Autism Spectrum Disorders (ASDs) who communicate via Facebook (FB); it studies two autism support groups: Autism Malaysia (AM) and Autism Children Club (ACA).
    METHOD: A total of 3637 messages including both postings (381) and comments (3256) were gathered from August to November 2013. The study employed a deductive content-analysis approach. The qualitative data were analyzed for social support themes adapted from the Social Support Behavior Code (SSBC). Before collecting the data, email was sent to the FB groups' moderators to gain formal consent from the members.
    RESULT: The finding indicated that the highest percentage of messages offered dealt with Informational support (30.7%) followed by Emotional support (27.8%). Network and Esteem support messages were responsible for 20.97% and 20.2%, respectively. Tangible Assistance was the least frequent category (0.4%). A majority of these messages discussed and addressed challenges and difficulties associated with caring and raising ASD children, as well as issues such as children's social lives and self-care routines.
    CONCLUSION: Understandings of how FB is used to seek social support could impact supporting and maintaining effective communication among parents and/or caregivers of children with ASDs. This information could also improve approaches used by health professionals in developing, improving and evaluating social support systems for parents/caregivers.
    Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
    KEYWORDS: ASD; Autism; Facebook; Social support; Support group
    Matched MeSH terms: Social Networking*
  20. Zaidan AA, Zaidan BB, Kadhem Z, Larbani M, Lakulu MB, Hashim M
    J Med Syst, 2015 Feb;39(2):7.
    PMID: 25631841 DOI: 10.1007/s10916-015-0201-y
    This paper discusses the possibility of promoting public health and implementing educational health services using Facebook. We discuss the challenges and strengths of using such a platform as a tool for public health care systems from two different perspectives, namely, the view of IT developers and that of physicians. We present a new way of evaluating user interactivity in health care systems from tools provided by Facebook that measure statistical traffic in the Internet. Findings show that Facebook is a very promising tool in promoting e-health services in Web 2.0. Results from statistical traffic show that a Facebook page is more efficient than other pages in promoting public health.
    Matched MeSH terms: Social Networking*
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