Multimedia psycho-educational interventions to support patient self-care in degenerative conditions: a realist review

Objective: Multimedia interventions are increasingly used to deliver information in order to promote self-care among patients with degenerative conditions. We carried out a realist review of the literature to investigate how the characteristics of multimedia psychoeducational interventions combine with the contexts in which they are introduced to help or hinder their effectiveness in supporting self-care for patients with degenerative conditions.

Method: Electronic databases (Medline, Science Direct, PSYCHinfo, EBSCO, and Embase) were searched in order to identify papers containing information on multimedia psychoeducational interventions. Using a realist review approach, we reviewed all relevant studies to identify theories that explained how the interventions work.

Results: Ten papers were included in the review. All interventions sought to promote self-care behaviors among participants. We examined the development and content of the multimedia interventions and the impact of patient motivation and of the organizational context of implementation. We judged seven studies to be methodologically weak. All completed studies showed small effects in favor of the intervention.

Significance of Results: Multimedia interventions may provide high-quality information in an accessible format, with the potential to promote self-care among patients with degenerative conditions, if the patient perceives the information as important and develops confidence about self-care. The evidence base is weak, so that research is needed to investigate effective modes of delivery at different resource levels. We recommend that developers consider how an intervention will reduce uncertainty and increase confidence in self-care, as well as the impact of the context in which it will be employed.

Green Media: The Future of Wireless Multimedia Networks:Guest Editorial

By 2015, with the proliferation of wireless multimedia applications and services (e.g., mobile TV, video on demand, online video repositories, immersive video interaction, peer to peer video streaming, and interactive video gaming), and any-time anywhere communication, the number of smartphones and tablets will exceed 6.5 billion as the most common web access devices. Data volumes in wireless multimedia data-intensive applications and mobile web services are projected to increase by a factor of 10 every five years, associated with a 20 percent increase in energy consumption, 80 percent of which is multimedia traffic related. In turn, multimedia energy consumption is rising at 16 percent per year, doubling every six years. It is estimated that energy costs alone account for as much as half of the annual operating expenditure. This has prompted concerted efforts by major operators to drastically reduce carbon emissions by up to 50 percent over the next 10 years. Clearly, there is an urgent need for new disruptive paradigms of green media to bridge the gap between wireless technologies and multimedia applications.

A Cross-Layer Optimized Scheme and Its Application in Mobile Multimedia Networks with QoS Provision

To cope with the rapid growth of multimedia applications that requires dynamic levels of quality of service (QoS), cross-layer (CL) design, where multiple protocol layers are jointly combined, has been considered to provide diverse QoS provisions for mobile multimedia networks. However, there is a lack of a general mathematical framework to model such CL scheme in wireless networks with different types of multimedia classes. In this paper, to overcome this shortcoming, we therefore propose a novel CL design for integrated real-time/non-real-time traffic with strict preemptive priority via a finite-state Markov chain. The main strategy of the CL scheme is to design a Markov model by explicitly including adaptive modulation and coding at the physical layer, queuing at the data link layer, and the bursty nature of multimedia traffic classes at the application layer. Utilizing this Markov model, several important performance metrics in terms of packet loss rate, delay, and throughput are examined. In addition, our proposed framework is exploited in various multimedia applications, for example, the end-to-end real-time video streaming and CL optimization, which require the priority-based QoS adaptation for different applications. More importantly, the CL framework reveals important guidelines as to optimize the network performance

Multimedia Resource Allocation in mmWave 5G Networks

The 5G network infrastructure is driven by the evolution of today's most demanding applications. Already, multimedia applications such as on-demand HD video and IPTV require gigabit- per-second throughput and low delay, while future technologies include ultra HDTV and machine-to-machine communication. Mm-Wave technologies such as IEEE 802.15.3c and IEEE 802.11ad are ideal candidates to deliver high throughput to multiple users demanding differentiated QoS. Optimization is often used as a methodology to meet throughput and delay constraints. However, traditional optimization techniques are not suited to a mixed set of multimedia applications. Particle swarm optimization (PSO) is shown as a promising technique in this context. Channel-time allocation PSO (CTA-PSO) is successfully shown here to allocate resource even in scenarios where blockage of the 60 GHz signal poses significant challenges.

The Impact of Multimedia Education on Uptake of Comprehensive Eye Examinations in Rural China: A Randomized, Controlled Trial

PURPOSE: To study the effect of multimedia education on acceptance of comprehensive eye examinations (CEEs), critical for detecting glaucoma and diabetic eye disease, among rural Chinese patients using a randomized, controlled design.
METHODS: Patients aged ≥40 years were recruited from 52 routine clinic sessions (26 intervention, 26 control) conducted at seven rural hospitals in Guangdong, China. Subjects answered demographic questionnaires, were tested on knowledge about CEEs and chronic eye disease, and were told the cost of examination (range US$0-8). At intervention sessions, subjects were cluster-randomized to view a 10-minute video on the value of CEEs and retested. Control subjects were not retested. Trial outcomes were acceptance of CEEs (primary outcome) and final knowledge scores (secondary outcome).
RESULTS: At baseline, >70% (p = 0.70) of both intervention (n = 241, 61.2 ± 12.3 years) and control (n = 218, 58.4 ± 11.7 years) subjects answered no knowledge questions correctly, but mean scores on the test (maximum 5 points) increased by 1.39 (standard deviation 0.12) points (p < 0.001) after viewing the video. Intervention (73.0%) and control (72.9%) subjects did not differ in acceptance of CEEs (p > 0.50). In mixed-effect logistic regression models, acceptance of CEEs was associated with availability of free CEEs (odds ratio 18.3, 95% confidence interval 1.32-253.0), but not group assignment or knowledge score. Acceptance was 97.5% (79/81) when free exams were offered.
CONCLUSIONS: Education increased knowledge about but not acceptance of CEEs, which was generally high. Making CEEs free could further increase acceptance.

The supporting role of emerging multimedia technologies in higher education

In this paper we give an overview of current investigations into the incorporation of cutting edge technologies within the Higher Education teaching domain. In particular, the role of audio is discussed through a number of case studies. The paper then concludes with a discussion of the authors' plans to incorporate audio and video content as supplementary course material for a technical undergraduate module