Displaying publications 1 - 20 of 151 in total

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  1. Mohamad Ishak NN, Jamani NA, Mohd Arifin SR, Abdul Hadi A, Abd Aziz KH
    Malays Fam Physician, 2021 Mar 25;16(1):84-92.
    PMID: 33948146 DOI: 10.51866/oa1098
    Background: Menopause signifies the beginning of a non-reproductive phase from the reproductive period. Although it is considered a natural life transition, recent studies have indicated that a woman's menopausal experience may impact her quality of life. While studies have examined Malaysian women's knowledge and awareness of menopause, they have focused on the prevalence of menopausal symptoms and sociocultural aspects. These investigations also used a quantitative design that may have limited the information regarding the nature and experience of menopause. Objectives: This study explores women's perceptions and understanding of their menopausal experience.

    Methods: A total of 20 menopausal women were recruited using purposive sampling through social media in the state of Pahang, Malaysia. In-depth semi-structured interviews were used to explore how they perceived their menopausal experience. The data were then analyzed using thematic analysis.

    Results: Three themes that emerged from the findings included perceptions of menopause, biopsychosocial changes and help-seeking behavior. For many Muslim women, menopause was perceived as a time for them to engage in religious commitment more than they had before.

    Conclusion: The study findings uncovered a knowledge gap and a lack of support for women impacted by menopause. Muslim women regarded their menopause phase as a time for them to engage in religious duty fully. These results indicate the need for a psychosocial intervention and educational program to ensure women a better transition throughout their menopausal phase.

    Matched MeSH terms: Social Media
  2. Hakak S, Kamsin A, Palaiahnakote S, Tayan O, Idna Idris MY, Abukhir KZ
    PLoS One, 2018;13(6):e0198284.
    PMID: 29924810 DOI: 10.1371/journal.pone.0198284
    Arabic script is highly sensitive to changes in meaning with respect to the accurate arrangement of diacritics and other related symbols. The most sensitive Arabic text available online is the Digital Qur'an, the sacred book of Revelation in Islam that all Muslims including non-Arabs recite as part of their worship. Due to the different characteristics of the Arabic letters like diacritics (punctuation symbols), kashida (extended letters) and other symbols, it is written and available in different styles like Kufi, Naskh, Thuluth, Uthmani, etc. As social media has become part of our daily life, posting downloaded Qur'anic verses from the web is common. This leads to the problem of authenticating the selected Qur'anic passages available in different styles. This paper presents a residual approach for authenticating Uthmani and plain Qur'an verses using one common database. Residual (difference) is obtained by analyzing the differences between Uthmani and plain Quranic styles using XOR operation. Based on predefined data, the proposed approach converts Uthmani text into plain text. Furthermore, we propose to use the Tuned BM algorithm (BMT) exact pattern matching algorithm to verify the substituted Uthmani verse with a given database of plain Qur'anic style. Experimental results show that the proposed approach is useful and effective in authenticating multi-style texts of the Qur'an with 87.1% accuracy.
    Matched MeSH terms: Social Media
  3. Mohamad Shakir SM, Wong LP, Lim Abdullah K, Adam P
    Health Promot Int, 2020 Oct 01;35(5):1116-1124.
    PMID: 31665378 DOI: 10.1093/heapro/daz108
    The Internet has opened pathways for youth to find sexual health information which was not easily available to them in the past. Studies have shown that seeking sexual health information online may potentially influence an individuals' decision-making to change their sexual health behaviours. However, there is a gap in research on the associations of seeking online sexually transmitted infection (STI) information with STI prevention among young people, particularly in Malaysia. This study investigated the associations of seeking STI information online with the intentions of condom use among young adult online users in Malaysia. A cross-sectional online survey was conducted among Malaysian youth aged 18-25 years old who were recruited through Facebook. In total, 1530 respondents completed the survey, identifying 874 respondents who had sought STI information online. The majority of respondents had intentions to use condoms as protection against STI. Respondents who sought online STI information were significantly more likely to have the intention to use condoms compared to respondents who did not seek online STI information (OR = 1.33, 95% CI = 1.01-1.76, p = 0.040). Online STI information has the potential to increase access to STI information among young online users in Malaysia amid the stigma surrounding sex-related issues. Providing accurate STI information online from reliable sources may equip young people who have Internet access with awareness of sexual health protective behaviours such as condom use. It is recommended to facilitate Internet access to reach sectors of the population that currently do not have access, as the Internet is useful in STI prevention.
    Matched MeSH terms: Social Media
  4. Dogan H, Norman H, Alrobai A, Jiang N, Nordin N, Adnan A
    J Med Internet Res, 2019 10 02;21(10):e14834.
    PMID: 31579018 DOI: 10.2196/14834
    BACKGROUND: Social media addiction disorder has recently become a major concern and has been reported to have negative impacts on postgraduate studies, particularly addiction to Facebook. Although previous studies have investigated the effects of Facebook addiction disorder in learning settings, there still has been a lack of studies investigating the relationship between online intervention features for Facebook addiction focusing on postgraduate studies.

    OBJECTIVE: In an attempt to understand this relationship, this study aimed to carry out an investigation on online intervention features for effective management of Facebook addiction in higher education.

    METHODS: This study was conducted quantitatively using surveys and partial least square-structural equational modeling. The study involved 200 postgraduates in a Facebook support group for postgraduates. The Bergen Facebook Addiction test was used to assess postgraduates' Facebook addiction level, whereas online intervention features were used to assess postgraduates' perceptions of online intervention features for Facebook addiction, which are as follows: (1) self-monitoring features, (2) manual control features, (3) notification features, (4) automatic control features, and (5) reward features.

    RESULTS: The study discovered six Facebook addiction factors (relapse, conflict, salience, tolerance, withdrawal, and mood modification) and five intervention features (notification, auto-control, reward, manual control, and self-monitoring) that could be used in the management of Facebook addiction in postgraduate education. The study also revealed that relapse is the most important factor and mood modification is the least important factor. Furthermore, findings indicated that notification was the most important intervention feature, whereas self-monitoring was the least important feature.

    CONCLUSIONS: The study's findings (addiction factors and intervention features) could assist future developers and educators in the development of online intervention tools for Facebook addiction management in postgraduate education.

    Matched MeSH terms: Social Media/statistics & numerical data*
  5. Harris JA, Beck NA, Niedziela CJ, Alvarez GA, Danquah SA, Afshar S
    Oral Maxillofac Surg, 2023 Sep;27(3):513-517.
    PMID: 35739365 DOI: 10.1007/s10006-022-01095-6
    PURPOSE: Social media use among oral and maxillofacial surgeons (OMSs) has grown in recent years, serving as an important resource for the dissemination of medical/surgical knowledge, research, education, diplomacy, and advocacy. However, no studies have attempted to characterize the global reach of social media in OMS.

    METHODS: This study examined the profile activity, content performance, and demographic characteristics of followers from a single OMS-related Instagram account. Variables assessed include the total number of followers since the account's inception, profile views over the selected time period, and unique media content posts, as well as likes, comments, saves, impressions, and reach for all media content posts. The top 45 countries, cities, and languages based on each follower's geolocation and user settings were also included.

    RESULTS: There were 9569 followers of which 6208 (64.9%) were listed as public accounts. Of the 6208 followers with public accounts, 2496 (40.2%) were female. The countries with the most followers included the United States (31.7%), India (12.5%), Malaysia (5.3%), Mexico (4.0%), and Pakistan (3.6%). The cities with the most followers included New York, New York (8.9%), Boston, Massachusetts (5.2%), Cairo, Egypt (4.3%), Santiago, Chile (3.7%), and Karachi, Pakistan (3.5%).

    CONCLUSION: OMS-related social media is uniquely positioned to facilitate global collaboration and augment the dissemination of surgical knowledge and expertise. This information is critical in understanding the distribution and demographics of the OMS workforce, trainees, and affiliates around the world.

    Matched MeSH terms: Social Media*
  6. Mohd Jenol NA, Ahmad Pazil NH
    J Relig Health, 2023 Aug;62(4):2933-2946.
    PMID: 36964281 DOI: 10.1007/s10943-023-01798-4
    Vaccine hesitancy is gaining attention due to the increasing spread of the COVID-19 pandemic in Malaysia. Malaysia is a majority Muslim country and religion has a significant influence on the acceptance or rejection of vaccines. This is clearly seen through the disagreement over the  halal status of vaccines. Social media has become a platform for discussion and dissemination of information and dis-information on vaccines. Thus, it has had a relatively significant influence on vaccine hesitancy among social media users. By analysing tweets from February 2020 to February 2021 using Twitter API, this paper highlights the discussion of COVID-19 vaccines' halal status on Twitter. This study focuses on the analysis of vaccination reluctancy among the Twitter users in Malaysia and found that the most prevalent theme from the discussion is the constructed religious narratives to justify scientifically misleading and false claims concerning vaccination represented on social media. This finding also calls for a deeper understanding of society's constructed knowledge concerning contemporary issues in the digital age on social media.
    Matched MeSH terms: Social Media*
  7. Teng S, Khong KW, Pahlevan Sharif S, Ahmed A
    JMIR Public Health Surveill, 2020 10 01;6(4):e19618.
    PMID: 33001036 DOI: 10.2196/19618
    BACKGROUND: Poor nutrition and food selection lead to health issues such as obesity, cardiovascular disease, diabetes, and cancer. This study of YouTube comments aims to uncover patterns of food choices and the factors driving them, in addition to exploring the sentiments of healthy eating in networked communities.

    OBJECTIVE: The objectives of the study are to explore the determinants, motives, and barriers to healthy eating behaviors in online communities and provide insight into YouTube video commenters' perceptions and sentiments of healthy eating through text mining techniques.

    METHODS: This paper applied text mining techniques to identify and categorize meaningful healthy eating determinants. These determinants were then incorporated into hypothetically defined constructs that reflect their thematic and sentimental nature in order to test our proposed model using a variance-based structural equation modeling procedure.

    RESULTS: With a dataset of 4654 comments extracted from YouTube videos in the context of Malaysia, we apply a text mining method to analyze the perceptions and behavior of healthy eating. There were 10 clusters identified with regard to food ingredients, food price, food choice, food portion, well-being, cooking, and culture in the concept of healthy eating. The structural equation modeling results show that clusters are positively associated with healthy eating with all P values less than .001, indicating a statistical significance of the study results. People hold complex and multifaceted beliefs about healthy eating in the context of YouTube videos. Fruits and vegetables are the epitome of healthy foods. Despite having a favorable perception of healthy eating, people may not purchase commonly recognized healthy food if it has a premium price. People associate healthy eating with weight concerns. Food taste, variety, and availability are identified as reasons why Malaysians cannot act on eating healthily.

    CONCLUSIONS: This study offers significant value to the existing literature of health-related studies by investigating the rich and diverse social media data gleaned from YouTube. This research integrated text mining analytics with predictive modeling techniques to identify thematic constructs and analyze the sentiments of healthy eating.

    Matched MeSH terms: Social Media
  8. Ahmad T, Sattar K, Akram A
    Saudi J Biol Sci, 2020 Sep;27(9):2287-2292.
    PMID: 32884409 DOI: 10.1016/j.sjbs.2020.06.007
    Background: Social media has become the fastest growing platform for sharing and retrieving information and knowledge, and YouTube is one of the most popular and growing sources of health and educational information video-sharing website. But, videos on this open platform are not peer-assessed, therefore, the accessible data should be adequately assessed. Till date, no exploration and analysis for assessing the credibility and usefulness of Medical professionalism videos available on YouTube are conducted.

    Objective: To analyze the video sources, contents and quality of YouTube videos about the topic of medical professionalism.

    Methods: A systematic search was accomplished on YouTube videos during the period between March 1, 2020 and March 27, 2020. The phrases as significant words used throughout YouTube web search were 'Professionalism in Medical Education', Professionalism in medicine', 'Professionalism of medical students', 'Professionalism in healthcare'. 'Teaching professionalism', 'Attributes of professionalism'. The basic information collected for each video included author's/publisher's name, total number of watchers, likes, dislikes and positive and undesirable remarks. The videos were categorized into educationally useful and useless established on the content, correctness of the knowledge and the advices. Different variables were measured and correlated for the data analysis.YouTube website was searched the using keywords 'Professionalism in Medical Education', Professionalism in medicine', 'Professionalism of medical students', 'Professionalism in healthcare'. 'Teaching professionalism', and 'Attributes of professionalism'.

    Results: After 2 rounds of screening by the subject experts and critical analysis of all the 137 YouTube videos, only 41 (29.92%) were identified as pertinent to the subject matter, i.e., educational type. After on expert viewing these 41 videos established upon our pre-set inclusion/exclusion criteria, only 17 (41.46%) videos were found to be academically valuable in nature.

    Conclusion: Medical professionalism multimedia videos uploaded by the healthcare specialists or organizations on YouTube provided reliable information for medical students, healthcare workers and other professional. We conclude that YouTube is a leading and free online source of videos meant for students or other healthcare workers yet the viewers need to be aware of the source prior to using it for training learning.

    Matched MeSH terms: Social Media
  9. He L, Firdaus A, Gong J, Dharejo N, Aksar IA
    BMC Public Health, 2024 Feb 23;24(1):581.
    PMID: 38395820 DOI: 10.1186/s12889-024-18013-y
    BACKGROUND: Despite technological, political and economic progress, Pakistan is still a traditionally patriarchal society, and cultural norms curb women's freedom of socialization, which contributes to poor mental health. The digital technology spaces are rampant with male dominance, and offline cultural behaviours are replicated. Therefore, the current research in Pakistan intends to focus solely on women, their social media uses and the consequent impact on their psychological well-being. Furthermore, the mediation role of social capital is explored, which is linked to women's socialization. In virtual communication, women can expand their connection or remain limited to known people.

    METHODS: An online survey collected 240 responses from women social media users. The questionnaire was divided into demographics, social media use patterns like access, online time, frequency of use, social media uses, online social capital and psychological well-being. The obtained responses were statistically analyzed using Smart PLS.

    RESULTS: Pakistani women use social media extensively; however, their uses are culturally influenced. The women use social media and socialize online but do not openly disclose their personalities and emotions to extend the connection. They seek information only from acquaintances and do not trust newly developed online contacts. Therefore, the mediation role of bonding social capital is significant, referring to the importance of close ties and trust in psychological well-being. Though virtual spaces provide an opportunity for bridging social capital, women use social media for socialization; however, it doesn't contribute to women's psychological well-being.

    CONCLUSION: Despite the higher penetration of digital technologies, cultural power still rules in developing countries like Pakistan. Social media uses are gender- and culturally specific, contributing to psychological well-being and developing social capital. The results from Pakistani society recommend ensuring a secure digital experience for women to get maximum benefits from social media and enhance their psychological well-being.

    Matched MeSH terms: Social Media*
  10. Al-Saffar A, Awang S, Tao H, Omar N, Al-Saiagh W, Al-Bared M
    PLoS One, 2018;13(4):e0194852.
    PMID: 29684036 DOI: 10.1371/journal.pone.0194852
    Sentiment analysis techniques are increasingly exploited to categorize the opinion text to one or more predefined sentiment classes for the creation and automated maintenance of review-aggregation websites. In this paper, a Malay sentiment analysis classification model is proposed to improve classification performances based on the semantic orientation and machine learning approaches. First, a total of 2,478 Malay sentiment-lexicon phrases and words are assigned with a synonym and stored with the help of more than one Malay native speaker, and the polarity is manually allotted with a score. In addition, the supervised machine learning approaches and lexicon knowledge method are combined for Malay sentiment classification with evaluating thirteen features. Finally, three individual classifiers and a combined classifier are used to evaluate the classification accuracy. In experimental results, a wide-range of comparative experiments is conducted on a Malay Reviews Corpus (MRC), and it demonstrates that the feature extraction improves the performance of Malay sentiment analysis based on the combined classification. However, the results depend on three factors, the features, the number of features and the classification approach.
    Matched MeSH terms: Social Media
  11. Zyoud SH, Sweileh WM, Awang R, Al-Jabi SW
    PMID: 29387147 DOI: 10.1186/s13033-018-0182-6
    Background: Social media, defined as interactive Web applications, have been on the rise globally, particularly among adults. The objective of this study was to investigate the trend of the literature related to the most used social network worldwide (i.e. Facebook, Twitter, LinkedIn, Snapchat, and Instagram) in the field of psychology. Specifically, this study will assess the growth in publications, citation analysis, international collaboration, author productivity, emerging topics and the mapping of frequent terms in publications pertaining to social media in the field of psychology.

    Methods: Publications related to social media in the field of psychology published between 2004 and 2014 were obtained from the Web of Science. The records extracted were analysed for bibliometric characteristics such as the growth in publications, citation analysis, international collaboration, emerging topics and the mapping of frequent terms in publications pertaining to social media in the field of psychology. VOSviewer v.1.6.5 was used to construct scientific maps.

    Results: Overall, 959 publications were retrieved during the period between 2004 and 2015. The number of research publications in social media in the field of psychology showed a steady upward growth. Publications from the USA accounted for 57.14% of the total publications and the highest h-index (48).The most common document type was research articles (873; 91.03%). Over 99.06% of the publications were published in English. Computers in Human Behavior was the most prolific journal. The University of Wisconsin-Madison ranked first in terms of the total publications (n = 39). A visualisation analysis showed that personality psychology, experimental psychology, psychological risk factors, and developmental psychology were continual concerns of the research.

    Conclusions: This is the first study reporting the global trends in the research related to social media in the psychology field. Based on the raw data from the Web of Science, publication characteristics such as quality and quantity were assessed using bibliometric techniques over 12 years. The USA and its institutions play a dominant role in this topic. The most preferred topics related to social media in psychology are personality psychology, experimental psychology, psychological risk factors, and developmental psychology.
    Matched MeSH terms: Social Media*
  12. 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 Media*
  13. AlHasan AJMS
    Surgery, 2023 Sep;174(3):744-746.
    PMID: 37419760 DOI: 10.1016/j.surg.2023.05.042
    Surgical journals use videos for educational and promotional purposes. YouTube is a suitable social media platform for sharing videos of journal content. The Surgery journal experience on YouTube can be used to learn important information on the nature of video content, the measurement of performance, and the benefits and challenges of using YouTube to disseminate journal content. Video content can be created to deliver information and infotainment. The online performance of videos can be measured using various metrics on YouTube Analytics, including content views and engagement metrics. There are several benefits to the use of YouTube videos by surgical journals, including the dissemination of reliable information, language versatility and diversity, open access and portability, increased visibility for authors and journals, and the humanization of the journal interface. However, challenges also need to be overcome, including viewer discretion where graphic content is concerned, copyright protection, limitations of Internet connection bandwidth, algorithmic barriers imposed by YouTube itself, and violations of biomedical ethics.
    Matched MeSH terms: Social Media*
  14. Abbasi H, Saqib M, Jouhar R, Lal A, Ahmed N, Ahmed MA, et al.
    Biomed Res Int, 2021;2021:1119710.
    PMID: 34124238 DOI: 10.1155/2021/1119710
    Introduction: Dental anxiety is a common occurrence in patients undergoing dental treatments, especially in children. The success in paedriatric dental treatments and patient comfort depends on controlling the level of patient's anxiety in clinical settings. This study is aimed at evaluating the efficacy of different techniques applied for the reduction of dental anxiety in paediatric patients. Material and Methods. One hundred and sixty participants were divided into 4 groups; each group having 40 patients as follows: group I: mobile application "little lovely dentist," group II: YouTube® "dental video songs," group III "tell-show-do," and group IV "control." Dental prophylaxis treatments were provided to all the participants. Initial anxiety levels were noted during the patient's education phase by measuring heart rate with pulse oximeter and distress level with facial image scale, at the same time in each group, respectively. The postoperative anxiety was noted later with the same methods, after the application of anxiety reduction techniques. The data obtained were entered in the statistical package for the social sciences software, version 25. One-way ANOVA and paired t-test for matched groups were used to compare mean values of the 4 groups, in this study to determine their effectiveness. A p value of ≤0.05 was considered as statistically significant.

    Results: The mean age of patients in group 1 was 6.8 ± 2.1 years, group 2: 8.15 ± 2.27 years, group 3: 7.5 ± 2.3 years, and group 4: 7.27 ± 1.68 years. The intragroup comparisons of heart rate and facial image scores have shown a significant difference in before and after dental treatment procedures. Marked reduction in heart rate and facial image scale scores were found in patients belonging to group 1 (mobile applications) and group 2 (dental video songs). An increase in heart rate and facial image scale scores was seen in group 3 (tell-show-do) and the control group.

    Conclusion: The paediatric dental anxiety is a common finding in dental clinics. Behavior modification techniques like smartphone applications, "little lovely dentist," and "dental songs" can alleviate dental anxiety experienced by paediatric patients. The "tell-show-do" technique although most commonly used did not prove to be beneficial in the reduction of the anxiety levels.

    Matched MeSH terms: Social Media*
  15. Singh SK, Enzhong L, Reidpath DD, Allotey P
    Public Health, 2017 Mar;144:78-85.
    PMID: 28274388 DOI: 10.1016/j.puhe.2016.11.022
    OBJECTIVE: To explore the initiating factors of waterpipe tobacco smoking (WTS) among youth.

    STUDY DESIGN: The analytic framework for this scoping review was performed using the methodology outlined by Arksey and O'Malley, which includes identification of the research question, study selection, charting the data, collating, summarizing and reporting the results that were primarily guided by the research question; 'what is known about the initiation of shisha smoking among youth?'

    METHODS: Electronic databases such as Cochrane, MEDLINE and PsycINFO were used to search for relevant articles. Articles included were all in English and published within the year of 2006 to 2015. Inclusion criteria; i) age range of 10 to 29 years; ii) examined the reasons why youth started or tried WTS; iii) in full text. Therefore, 26 articles were included in this scoping review.

    RESULTS: This review has identified and classified the initiating factors of WTS among youth in four subtopics: individual factors, interpersonal influences, cigarettes and alcohol use, and media influences. Individual factors and interpersonal influences played an important role in initiation factors of WTS among youth.

    CONCLUSION: This study concludes that public health professionals within the Southeast Asia region need to promote innovative preventive measures through peer-to-peer led interventions that are also easily assessable on social media platforms. The public health messages need to address the misconceptions of risk associated to WTS use.
    Matched MeSH terms: Social Media
  16. Kc B, Lim D, Low CC, Chew C, Blebil AQ, Dujaili JA, et al.
    JMIR Med Inform, 2020 Jul 08;8(7):e17982.
    PMID: 32463787 DOI: 10.2196/17982
    BACKGROUND: Information and communication technology (ICT) is an essential element of modern "smart" cities. These smart cities have integrated housing, marketplace, public amenities, services, business, and transportation via ICT. ICT is also now widely used in urban health care delivery.

    OBJECTIVE: The aim of this study was to determine the positioning and roles of ICT in community pharmacies in the state of Selangor, Malaysia.

    METHODS: A cross-sectional study was conducted from November 2018 to January 2019 across 9 different subdistricts in the state of Selangor, including Subang Jaya, Cheras, Puchong, Port Klang, Kota Kemuning, Selayang, Chow Kit, Ampang, and Seri Kembangan. A total of 90 community pharmacists were approached from the 9 subdistricts and invited to participate in the study.

    RESULTS: Of the 90 community pharmacies approached, 60 agreed to participate in the study, representing a response rate of 67%. The majority (36/60, 60%) of the respondents were women, and more than half (32/60, 53%) of the community pharmacies were run by young adults (ie, 30 years old and younger). More than three-quarters of the community pharmacies (46/60, 77%) used electronic health records. Half of the community pharmacies used online social media platforms for advertising and promoting their pharmacies. The vast majority of the community pharmacies (55/60, 92%) were using modern electronic payment systems, and some were also using other new electronic payment methods. Moreover, most of the community pharmacies (41/60, 68%) were using software and programs for accounting and logistics purposes. In addition, 47/60 (78%) of the community pharmacies used a barcode reading system for medicines/health products, and 16/60 (27%) of the pharmacies had online stores, and consumers could buy medicines and health products from these pharmacies via their online portal. In addition, 20/60 (33%) of the community pharmacies used at least one of the common online business platforms available in Southeast Asia to sell products/medicines. The telephone was the most commonly used means of communication with patients, although some pharmacies also used email, WhatsApp, SMS text messaging, and other communication platforms.

    CONCLUSIONS: This study showed that the majority of community pharmacies in Selangor, Malaysia are using ICT for different purposes. However, there is still limited use of mobile apps to provide health services. Overall, community pharmacies have been adopting ICT apps for pharmacy services but the rate of adoption is relatively slower than that in other sectors of Malaysia.

    Matched MeSH terms: Social Media
  17. Mansur Z, Omar N, Tiun S, Alshari EM
    PLoS One, 2024;19(3):e0299652.
    PMID: 38512966 DOI: 10.1371/journal.pone.0299652
    As social media booms, abusive online practices such as hate speech have unfortunately increased as well. As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. Therefore, this study developed an improved model for normalizing OOV words with repeated letters by replacing them with correct in-vocabulary (IV) replacement words. The improved normalization model is an unsupervised method that does not require the use of a special dictionary or annotated data. It combines rule-based patterns of words with repeated letters and the SymSpell spelling correction algorithm to remove repeated letters within the words by multiple rules regarding the position of repeated letters in a word, be it at the beginning, middle, or end of the word and the repetition pattern. Two hate speech datasets were then used to assess performance. The proposed normalization model was able to decrease the percentage of OOV words to 8%. Its F1 score was also 9% and 13% higher than the models proposed by two extant studies. Therefore, the proposed normalization model performed better than the benchmark studies in replacing OOV words with the correct IV replacement and improved the performance of the detection model. As such, suitable rule-based patterns can be combined with spelling correction to develop a text normalization model to correctly replace words with repeated letters, which would, in turn, improve hate speech detection in texts.
    Matched MeSH terms: Social Media*
  18. Shoukat MH, Selem KM, Elgammal I, Ramkissoon H, Amponsah M
    Acta Psychol (Amst), 2023 Aug;238:103962.
    PMID: 37356362 DOI: 10.1016/j.actpsy.2023.103962
    Underpinned by integrating self-determination and source credibility theories (SCT), this paper investigates the focal roles of memorable local food experiences (MLX) and travel influencer endorsement (TIE) on revisit intention. A questionnaire was used to collect data from 513 TikTok influencers (individuals who frequently post videos on TikTok and have a large number of followers). A purposive sampling technique is used to collect data from TikTok influencers who create videos about food tourism in Pakistan. SmartPLS 4.4 was used with PLS-SEM. The empirical results suggest a positive and significant linkage of culinary memorable experience factors with MLX. The focal effects of MLX and TIE on revisit intention are significantly positive. Our findings further revealed that MLX partially mediated the linkage of culinary memorable experience factors with revisit intention, while TIE strengthened the positive relationship between MLX and revisit intention. The study's findings influence travel agents, local food providers, and marketing specialists who develop marketing strategies for local food tourism and online trip purchasing.
    Matched MeSH terms: Social Media*
  19. Salarzadeh Jenatabadi H, Moghavvemi S, Wan Mohamed Radzi CWJB, Babashamsi P, Arashi M
    PLoS One, 2017;12(9):e0182311.
    PMID: 28886019 DOI: 10.1371/journal.pone.0182311
    Learning is an intentional activity, with several factors affecting students' intention to use new learning technology. Researchers have investigated technology acceptance in different contexts by developing various theories/models and testing them by a number of means. Although most theories/models developed have been examined through regression or structural equation modeling, Bayesian analysis offers more accurate data analysis results. To address this gap, the unified theory of acceptance and technology use in the context of e-learning via Facebook are re-examined in this study using Bayesian analysis. The data (S1 Data) were collected from 170 students enrolled in a business statistics course at University of Malaya, Malaysia, and tested with the maximum likelihood and Bayesian approaches. The difference between the two methods' results indicates that performance expectancy and hedonic motivation are the strongest factors influencing the intention to use e-learning via Facebook. The Bayesian estimation model exhibited better data fit than the maximum likelihood estimator model. The results of the Bayesian and maximum likelihood estimator approaches are compared and the reasons for the result discrepancy are deliberated.
    Matched MeSH terms: Social Media*
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