Voice Calls Research Articles

Effectiveness of mHealth Interventions in Medication Adherence among Patients with Cardiovascular Diseases: A Systematic Review.

mHealth interventions have been reported to improve adherence to long-term therapies in chronic conditions. Therefore, this study aimed at determining the effectiveness of mHealth interventions in medication adherence among patients with cardiovascular diseases (CVDs), a leading cause of mortality globally. Relying on our inclusion criteria and the PRISMA recommendations, a literature search was carried out in the PubMed, Medline, and ProQuest databases for primary studies that investigated the impact of mHealth on medication adherence for cardiovascular disease (CVD) between 2000-2021. A total of 23 randomized controlled trials with 34,915 participants matched the selection criteria. The mHealth interventions used included text messages, mobile phone applications, and voice calls, which were used either as a single intervention or combined. Additionally, studies on enhancing drug adherence had contradictory findings: most of the studies elaborated positive results; however, six studies were unable to reveal any significant effect. Finally, a risk bias analysis revealed varying outcomes across all studies. This review, as a whole, supported the notion that mHealth interventions can be effective in improving adherence to CVD medication even though they could not improve adherence to all CVD medications when compared with controls. Further trials with more refined designs integrated with comprehensive interventions are needed to produce better health outcomes.

AI in Telecom Contact Center : A Review of The Latest Trends and Use-Cases for AI Applications in Telecom User Support

Contact Center offer technology capabilities that enable customers to be able to contact an organization or vice versa (organization to reach out to a customer) utilizing services like voice calls, text, messaging etc. Contact center technologies help companies fulfill their customer service obligations and often enable organizations to better personalize the customer experience provided. With recent innovations in the field of AI and ML technology, this new technology has taken center stage in helping businesses better serve customers, increase customer satisfaction, boost productivity, optimize workloads and reduce costs to serve via optimization or automation. This document looks at various emerging AI trends in different areas of a contact center.

Text-Based Crisis Counseling: An Examination of Timing, Pace, Asychronicity and Disinhibition

Texting-based crisis counseling is increasingly used to reach young people in acute crisis. Drawing on the online disinhibition effect (ODE), this U.S. study explored how asynchronicity and invisibility contribute to how users reveal their presenting problem and engage with counseling. A random sample of 49 text crisis line sessions with youth averaging 18 years was used to assess response lag times and flow as well as their impact on the session. Interviews with crisis counselors provided supplemental context. Content analysis identified patterns in the presenting problem, reasons for response lags, and patterns in how the sessions ended. The overall duration of text sessions was substantially longer than that of voice calls, to cover comparable content. Users frequently multitasked or become engaged in other activities between texts, creating a more disjointed flow. This also allowed the user to take time with responses to difficult questions. Counselors had to match their pace with users, make decisions when to discontinue the session, and use intentional language to develop a therapeutic connection. In line with the ODE framework, the findings suggested that the invisible nature of texting allowed users to reach out for help at the moment they needed it, regardless of their location. Implications for using texting-based interfaces are discussed.

Technical note: A mobile collaborative workspace to assist forensic experts in disaster victim identification scenarios

Integrated approaches to disaster victim identification (DVI) management have led to a need for technologies to improve interaction among parties involved in post-mortem (PM) and ante-mortem (AM) data collection through better communication and coordination. Mobile Forensic Workspace© (MFW) is a collaborative mobile system that not only facilitates the systematic collection of high-quality data, but also allows DVI professionals to coordinate activities and exchange data through secure real-time communication at major disaster scenarios in accordance with security, privacy and legal protocols. MFW is adaptable to any communication format (text, voice calls, photographs, etc.) and is dynamically self-reconfigurable when connectivity problems arise. It also allows data integration and backup through secure communication channels between local and remote servers. The feasibility of the system has been demonstrated through implementation of MFW on the iOS platform for iPhone, iPod Touch and iPad terminals. A further strength of MFW is that it provides out-of-the-box support for INTERPOL DVI forms. The application of information and communication technologies for DVI was shown to be useful in improving DVI management by enhancing the quality of data collection and enabling non-Internet dependent real-time data sharing and communication.

Adoption of More-than-voice Technology: The Role of Country Affiliation

—Plethora of uses of mobile phones exist across the globe. The use of mobile phones beyond voice calls is known as the more-than-voice (MTV) technology. The widespread use of MTV technology is evident among the bottom of pyramid (BoP) around the world. The BoP represents a significant portion of the world population that not only can afford MTV technology but also can serve as a huge consumer base for services based on this technology. This study examines the factors affecting the acceptance of MTV technology by the BoP users and investigates whether their country affiliation plays a differing role in the adoption of the technology in the Indian subcontinent. Data were obtained from the Teleuse@BOP4 study. Partial least square (PLS) was performed to test the research model. The findings suggest that the perceived usefulness, ease of use, facilitating conditions, acumen to use, and propensity to use are the significant predictors of the adoption of the MTV technology. The findings also suggest that country affiliation plays a significant moderating role in the relationships between facilitating conditions and intention, and propensity to use and intention. This study then provides the practical and academic implications of both significant and insignificant findings. Keywords—More-than-voice technology, MTV technology, MTV services, consumer acceptance, technology adoption, country affiliation.

Utilizing Voip Packet Header’s Fields to Save the Bandwidth

Abstract Voice over IP (VoIP) is widely utilized by organizations, schools, colleges, and so on. Nevertheless, VoIP numerous challenges that hinder its spread. One of the significant challenges is the poor exploit of the VoIP technology network bandwidth (BW), caused by the huge preamble of the VoIP packet. This paper suggests a novel methodology to manage this huge preamble overhead challenge. The proposed methodology is named runt payload VoIP packet (RPV). The core principle of the RPV methodology is to reemploy and exploit the VoIP packet preamble’s data (fields) that are superfluous by VoIP technology, especially for unicast IP voice calls. Generally, those fields will be used to convey the VoIP packet payload. Consequently, diminish or zero the length of the payload and, therefore, spare the BW. The results of the investigation into the suggested RPV methodology indicated significant enhancement in the BW exploitation of VoIP technology. For instance, the saved BW in the examined environment with the LPC codec came to up to 25.9%.

Perception of nurses on the use of mobile phone text messaging for the management of diabetes mellitus in rural Ghana.

This study aims to explore the perception of nurses on the use of mobile phone SMS for managing diabetes in rural Ghana. Exploratory Descriptive Qualitative Design. Purposive sampling was used to recruit (13) participants relative to data saturation after ethical clearance (REDACTED); using a semi-structured interview guide. All interviews were transcribed verbatim and analysed using thematic content analysis. Participants believe SMS was useful in facilitating interaction between nurses, clients, family and statistically significant others; improving medication adherence and supporting blood glucose monitoring. The use of infographics was preferred to traditional SMS among digitally literate patients and voice calls for those who were illiterate. Participants had limited knowledge of downloadable diabetic applications. Participants were willing to accept and use SMS for the management of diabetes mellitus. Thirteen nurses actively participated in the study.

Pediatric Conditions and Platforms of Telemedicine Used in Philippine Primary Care: A Cross-sectional Study.

Inequity in access to healthcare continues to be a problem in the Philippines. This was further aggravated by the COVID-19 pandemic. Telemedicine is considered a potential strategy to address inequitable access to healthcare; however, it only gained popularity during the pandemic. This study aims to determine the pediatric conditions diagnosed through telemedicine consults and the platforms utilized by patients in the Philippine Primary Care Studies pilot sites during the pandemic. This is a cross-sectional study of pediatric patients below 19 years of age who sought consult using telemedicine. Using the electronic medical records (EMR) system adapted by the Philippine Primary Care Studies in UP Health Service (UPHS) Quezon City, Metro Manila (urban site), Samal, Bataan (rural site), and Bulusan, Sorsogon (remote site), pediatric conditions diagnosed through telemedicine consults and the platforms utilized by patients from September 2021 to August 2022 were extracted and summarized. Data was summarized using descriptive statistics. A total of 5,388 consults involving pediatric patients were recorded from September 2021 to August 2022, of which 1,562 (29.0%) were done through telemedicine. Majority of the telemedicine consults (67.5%, n=1,055) were in the rural site. There were 274 telemedicine consults (17.6%) in the remote site, and 233 (14.9%) in the urban site. The most common diagnosis was acute upper respiratory tract infection (30.8%). Other common conditions diagnosed through telemedicine were lower respiratory tract infections, skin infections, urinary tract infections, obesity, anxiety disorders, allergic rhinitis, conditions related to pregnancy, and myalgia. The most common platforms used by patients are video calls (20.2%, n=315) and voice calls (18.4%, n=287) across all three sites. However, the most common platform differed per area-video calls for the urban site (85.8%), live chat for the rural site (76.1%), and voice calls for the remote site (60.6%). The most common condition diagnosed among pediatric patients consulting through telemedicine is upper respiratory tract infection. The most common platforms used to seek consult through telemedicine are live chat, video calls, and voice calls, with differences noted per site.

Machine Learning-Based Approach for Identification of SIM Box Bypass Fraud in a Telecom Network Based on CDR Analysis: Case of a Fixed and Mobile Operator in Cameroon

In the telecommunications sector, companies suffer serious damages due to fraud, especially in Africa. One of the main types of fraud is SIM box bypass fraud, which includes using SIM cards to divert incoming international calls from mobile operators creating massive losses of revenue. In order to provide a solution to these shortcomings that apply almost to all network operators, we developed intelligent algorithms that exploit huge amounts of data from mobile operators and that detect fraud by analyzing CDRs from voice calls. In this paper we used three classification techniques: Random Forest, Support Vector Machine (SVM) and XGBoost to detect this type of fraud; we compared the performance of these different algorithms to evaluate the model by using data collected from an operator’s network in Cameroon. The algorithm that produced a better performance was the Random Forest with 92% accuracy, so we effectuated the detection of existing fraudulent numbers on the telecommunications operator’s network.

A Survey of Forensic Analysis and Information Visualization Approach for Instant Messaging Applications

Instant messaging applications, including WhatsApp, Viber, and WeChat, are moving beyond text messages to videos and voice calls, which are proportioned to current media, files, and locations. In this study, we surveyed existing forensic visualization and forensic analysis techniques for instant messaging applications, with the aim of contributing to the knowledge in the discussion of these research issues. A total of 61 publications were reviewed after searching various academic databases, including the IEEE, ACM Digital Library, Google Scholar, and Science Direct during the last five years. Our observation from research trends indicates that both forensic analysis and information visualization are relatively mature research areas. However, there is a growing interest in forensic visualization and automated IM forensic analysis. We also identified the lack of discussion on forensic selection criteria in existing forensic visualization works and the needs of benchmarking the evaluation method of automate forensic analysis tools.

A Model of E-learning readiness of universities in the face of Corvid 19 disease (Case: University of Tehran)

The present study aimed at designing a model for E-learning readiness of the University of Tehran in the face of Covid 19 disease. This study is applied and has been done by phenomenological method and answering an Open Answer Questionnaire from 603 faculty members among 36 faculties of the University of Tehran by sending e-mails and also by voice and video calls. Its validity was assessed by the participants through three measures and through review. A model consisting of 8 sub-elements with inductive content analysis and open coding and main categorization was introduced; Development of teaching-learning processes, time management, enrichment of educational content, continuity of education, establishment of educational justice, promotion of social responsibility of the university, continuation and development of e-learning and teaching, improving classroom supervision and evaluation. In other words, the development of e-learning as a new approach in higher education requires the creation of four socio-cultural readiness, pedagogical readiness, organizational readiness and technological readiness in conjunction with the revised Bloom model; The combination of these elements in the current situation of universities can be considered as a strategy for learning that is necessary for the continuous improvement of e-learning during the outbreak of Covid 19 pandemic. Therefore, the suggestions of this research can be applied to universities.

What is the current and expected evolution of prevalence, geographical spread and impact of ticks and tick-borne diseases, and what strategies are needed to improve management, testing, diagnosis and treatment of these diseases amongst patients and animal populations?

Tick-borne pathogens are a growing threat with increasing negative impact on species diversity, food security and human health. Ticks, as a group, are second only to mosquitoes as vectors of pathogens to humans and are the primary vector for pathogens of livestock, companion animals, and wildlife (Mansfield et al., 2017). There are many tick species in Europe that carry human pathogens, and there are many more in North and South America and Asia. Changes in climate and land usage are leading to changes in the tick populations and therefore pathogen spread (Gandy et al., 2023).1 To mitigate the impact of these tick-borne pathogens, we need to better understand the complex relationships between vector, pathogen and host. Disease management approaches (including preventative measures and treatment protocols) vary significantly from country to country, partly due to resource challenges, but also due to knowledge siloes. Testing and treatment protocols for many tick-borne diseases are an acknowledged area of research need, and there is a growing patient, political and clinical voice calling for improvement. Effective multidisciplinary and international collaboration has the potential to yield significant improvements in scientific understanding, disease management and treatment strategies.

EXPLORING HOSPITALITY STUDENTS’ EXPECTATION FOR INTERNSHIP PLACEMENT DURING THE COVID-19 PANDEMIC: THE CASE OF UNIVERSITI UTARA MALAYSIA STUDENTS

The Covid-19 pandemic has impacted the tourism and hospitality industry globally and the accommodation sector is amongst the hardest-hit. As for hospitality education, the internship program is part of the core component curricula for most undergraduate degrees which provide students with the opportunity to gain hands on experience within the industry. This paper provides some insights on issues and challenges faced by hospitality students in securing internship placements during the Covid-19 period. The study utilizes qualitative research methodology using in-depth interviews. The interviews are conducted through WhatsApp voice calls and video calls and WEBEX virtual meeting platform. The findings revealed problems faced by hospitality students when securing their internship placements. This paper offers some practical suggestions for the department in charge of internship placements to be more informed about the challenges faced by the students. This is vital as acknowledging the problems will help the university become more prepared when handling internship placements during the time of pandemic. More interaction between the industry and universities as well as corporate participation in internship acceptance are crucial for the benefit of all stakeholders.

DEVELOPING A MOBILE PHONE APPLICATION TO DETECT SOCIAL ISOLATION OVER MULTIPLE TIME POINTS

Abstract Social isolation is an important predictor of mortality and morbidity in older persons. The increase in social isolation is often a result of major life events such as retirement, leading to the loss of social connections. The effects of the pandemic have exacerbated the loss of social connectedness. Measures to ensure social distancing have made technologies like voice and video calling, text messaging, and other phone mediated communication important resources for connecting people. Measuring social isolation often requires periodic administration of a paper survey instrument, like the Lubben Social Network Scale (LSNS). The approach was taken by Lubben for predicting a person’s social isolation level typically involves looking at their general frequency of interactions with family and friends along with the specific frequencies of private, tentative discussions happening during those interactions. This paper explores the process used to develop a tool to measure social isolation continuously and automatically by using an older person’s frequency and tone of telephonic conversations. We categorized a person’s family and friends into three sub-categories based on the self-reported level of closeness shared with them. We then analyzed the person’s conversation (content and tones). Lastly, we trained the deep learning model (Watson) using these captured tone values to determine the social isolation index of the individual. Our preliminary results indicate that we are able to correctly predict their degree of social isolation as judged by Lubben’s scale using their phone conversations. This technology may be promising for the assessment and intervention of social isolation.

A constantly improving model for universities readiness in the application of e-learning practices during the COVID-19 pandemic: a qualitative approach.

The sudden outbreak of a lethal virus known as the COVID-19 pandemic spotlighted e-learning systems worldwide. That forced instructors and faculty members around the world to try the existing instructional platforms in an attempt to shift toward an effective unprecedented learning system. The present study concentrated on enhancing a specific e-learning system experienced for the first time at the University of Tehran (UT) that faced several difficulties in the development process due to the lack of required readiness in diverse aspects. As a phenomenological approach bordered with a descriptive-interpretive framework, the study targets a group of 2000 faculty members at 35 diverse departments of the UT. Data have gathered from 603 faculty members using voice calls, video calls, and emails and then analyzed and diverged into four fundamental segments: sociocultural readiness, pedagogical readiness, organizational readiness, and technological readiness (SCPOT-R). Our findings indicated some remarkable results that underline the significance and high priority of virtual and electronic learning methods since the expansion of COVID-19 and following physical restrictions.

Value Creation of Mobile Usage amongst Generation Z in Delhi and Pune

A mobile gadget in hand is no more merely a simple device used for communication today but it has become an extension of every individual personality and lifestyle. These wireless gadgets have multi-purpose use such as for telephonic interactions, for expressing ones opinions, beliefs, emotions, for self-entertainment, for online shopping, for online banking transactions, travel bookings etc. Mobile phones are not merely a fad but its transforming the way millions of people do business or use it as a tool to enhance their market reach. As per Indian Brand Equity Foundation Report (IBEF), the Indian Telecom Industry with total 110.01 million connections is the fifth largest in the world and is growing rapidly. Metropolitan areas constitute major share of the telecom subscriptions at 60 percent and the balance being at the rural level. Whether population is living in rural or urban settlements, educated or not educated, demographics across varied age groups are reliant on mobile phones and cannot seek their existence without the same. With the government fair and proactive regulatory framework, low – priced handsets, aggressive marketing strategies, telecom services have been made available to the masses at much reasonable prices. Telecom Industry is the highest employment generator in the country. Penetration of these wireless broadband services has further extended the reach of the internet across geographical boundaries. India is experiencing a transition from desktop internet access to an “on-the-go” experience. The emerging wave in the Indian Telecom Industry is the Third Generation and Fourth Generation technology. The technology is intended for Smartphones which is a multimedia phone handset with a high density screen resolution that is an upgrade over the computer with plentiful features and applications that are driving the mobile industry such as camera, audio – video, internet surfing, voice calls, messaging, emails, microsoft office and other mobile applications. The name ”Smartphone” refers to improvements in the speed, ease and convenience in data transfer over the Internet, portability and wireless connectivity that has led to the popularity of such portable hand devices.

AN ANALYSIS OF THE USE OF BRITISH ENGLISH AND AMERICAN ENGLISH TOWARD SPEAKING ABILITY IN THE STUDENTS’ TELEGRAM ACCOUNTS OF STKIP PGRI UNIVERSITY OF SIDOARJO

This research examines the use of British and American English in speaking skills on STKIP PGRI Sidoarjo University student accounts. The goal of this study was to examine the vocabulary of British English and American English on the Telegram accounts of STKIP PGRI Sidoarjo University students. This study employs a qualitative approach with descriptive analysis techniques. Purposive sampling from group voice calls used to practice speaking English was used for the sampling technique. The Telegram accounts examined are those of STKIP PGRI Sidoarjo University students. The accounts examined were five STKIP PGRI Sidoarjo student accounts. According to the findings of this study, the researcher examined the differences between British and American English speech accents on students' Telegram. Second, the researcher examines the skills of speaking about grammatical suitability, accent conversation, and sentence context.
 Keywords: British dan American English; speaking; telegram voice call group

Sexting prevalence in high-school students depends on the addressee, media format, explicitness of sexts, and gender

ABSTRACT This study aims to contribute to the current literature on adolescent sexting prevalence by reporting an accurate description and characterisation of participants based on the adolescent sexting scale A-SextS as a standardised measurement instrument. The study includes a convenience sample of 579 Spanish secondary students (52.7% boys; interquartile range 13–15 years). Participants were asked about five active sexting behaviours (sending sexts; making voice calls with sexual content; making video calls with sexual content; posting sexual content on the internet or social media networks; live-streaming video of sexual content on the internet or social media networks) with an amorous or sexual purpose, during the month prior to the survey, distinguishing between three possible addressees (boyfriend/girlfriend; someone known in person; someone known only on the internet), three media formats (text messages; images or videos; and audio messages), and three levels of sexual explicitness (nude; in underwear; and dressed but in a sexy pose). Both the proportion of students reporting to have partaken in all individual sexting behaviours and the number of times they did so in the study timeframe were higher when the addressee was reported as their romantic partner. Approximately half of the participants reported having engaged in sexting with a partner or with someone they knew in person, whereas a fifth sexted with someone they only knew online. Additionally, a third of adolescents posted some sort of sext, and a tenth presented themselves in a live-stream. The exchange of nude sexts was less prevalent than those depicting the subject in underwear or rather dressed and in a sexy pose. Girls posted significantly more images or videos both in underwear and dressed and in a sexy pose than boys, and girls also made more video calls with sexual content in response to a request from someone they knew in person than boys.

Performance and Resource Requirements of In-Person, Voice Call, and Automated Telephone-Based Socioeconomic Data Collection Modalities for Community-Based Health Programs

Gathering data on socioeconomic status (SES) is a prerequisite for health programs that aim to improve equity. There is a lack of evidence on which approaches offer the best combination of reliability, cost, and acceptability. To compare the performance of different approaches to gathering data on SES in community health programs. A search of the Cochrane Library, MEDLINE, Embase, Global Health, ClinicalTrials.gov, the World Health Organization International Clinical Trials Registry Platform, and OpenGrey from 1999 to June 29, 2021, was conducted, with no language limits. Google Scholar was also searched and the reference lists of included articles were checked to identify further studies. The search was performed on June 29, 2021. Any empirical study design was eligible if it compared 2 or more modalities to elicit SES data from the following 3 categories: in-person, voice call, or automated telephone-based systems. Two reviewers independently screened titles, abstracts, and full-text articles and extracted data. They also assessed the risk of bias using Cochrane tools and assessed the certainty of the evidence using the Grading of Recommendations, Assessment, Development and Evaluation approach. Findings were synthesized thematically without meta-analysis. Response rate, equivalence, time, costs, and acceptability to patients and health care professionals. The searches returned 3943 records. The 11 included studies reported data on 14 036 individuals from 7 countries, collecting data on 11 socioeconomic domains using 2 or more of the following modes: in-person surveys, computer-assisted telephone interviews (CATIs), and 2 types of automated data collection: interactive voice response calls (IVRs) and web surveys. Response rates were greater than 80% for all modes except IVRs. Equivalence was high across all modes (Cohen κ > 0.5). There were insufficient data to make robust time and cost comparisons. Patients reported high levels of acceptability providing data via IVRs, web surveys, and CATIs. Selecting an appropriate and cost-effective modality to elicit SES data is an important first step toward advancing equitable effective service coverage. This systematic review did not identify evidence that remote and automated data collection modes differed from human-led and in-person approaches in terms of reliability, cost, or acceptability.

A Three-dimensional Model of News Recirculation: Towards a Unified Understanding of News Sharing

ABSTRACT This paper responds to calls for theory-building about news sharing on social media, arguing for a unified understanding of sharing practices both online and off. Developing a theoretical understanding of news sharing requires broadening our gaze to include other communicative technologies, such as postal mail, email, voice calls, and in-person conversation. In a conceptual contribution based on reflections about my participation in long-term multi-method collaborative studies in the US, I argue that news sharing is an act of commitment at the core. I also propose a three-dimensional model of news recirculation. The first two dimensions, publicness and ephemerality, are ideological – although they widely misrecognized as properties of specific channels and platforms. People enact a third dimension of practice, voice, when they recirculate news.