Old-age diversity is underrepresented in digital health research: findings from the evaluation of a mobile phone system for post-operative progress monitoring in Sweden

Much research is conducted to evaluate digital-based solutions for health-care services, but little is known about how such evaluations acknowledge diversity in later life. This study helps fill this gap and analyses participation in the evaluation of a web-based mobile phone system for monitoring the post-operative progress of patients after day surgery. Participation is conceptualised as resulting from three processes: pre-screening, recruitment and self-selection. Based on field information and survey data, this study models (a) the (non-)participation in a sample of 498 individuals aged 60 and older that includes non-screened, non-recruited, decliners and participants in the evaluation, and (b) the individual decision to participate in a sample of 210 individuals aged 60 and older who were invited to take part in the evaluation. Increasing age enhances the likelihood of not being screened, not being recruited or declining the invitation. Those not recruited were most often ineligible because of technology-related barriers. Decliners and participants differed by age, gender, job, health status, digital skills, but not by social participation. Results suggest that highly specific groups of older people are more likely to be involved than others. Old-age diversity is not properly represented in digital health research, with implications for the inclusivity of new digital health technologies. This has implications for increased risks of old-age exclusion and exacerbation of social and digital inequalities in ageing societies.

Investigating the effect of the Asayar smart program on ambulance arrival time at the scene

Background Communication is important in pre-hospital emergencies and the faster and more accurately it is done, the more effective the treatment process will be. With the advancement of technology, a mobile phone system equipped with the Asayar smart program replaces paper methods. By creating an online connection between doctors, technicians and treatment centres, Asayar will increase the speed of the treatment and transfer of the patient to hospital. One of the most important challenges of this program is the interruption of internet connections and the reduction of internet speed. This study was designed to investigate the effect of the Asayar smart program on ambulance arrival time at the scene and compare it with paper methods. Methods A descriptive-analytical cross-sectional study in the city of Isfahan in Iran, with a sample number of 700 missions performed by the paper registration method in 2017, and 230 missions registered by Asayar program method in 2018. The Propensity score matching method was used to analyse the data. Results The findings of the study showed that the use of the Asayar smart program in the pre-hospital emergency department of Isfahan has reduced times for ambulance arrival to the scene. Conclusion Using the Asayar smart program in a pre-hospital emergency can increase patient coordination and management.

Compared to wireless deployment in areas with different environmentse

<p>In the mobile phone system, it is highly desirable to estimate the loss of the track not only to improve performance but also to achieve an accurate estimate of financial feasibility; the inaccurate estimate of track loss either leads to performance degradation or increased cost. Various models have been introduced to accurately estimate the path loss. One of these models is the Okomura / Hata model, which is recommended for estimating path loss in cellular systems that use micro cells. This system is suitable for use in a variety of environments. This study examines the comparison of path loss models for statistical analysis derived from experimental data collected in urban and suburban areas at frequencies of 150-1500 MHz’s The results of the measurements were used to develop path loss models in urban and suburban areas. The results showed that Pathloss increases in urban areas respectively.</p>

Inter-Contact Routing for using Mobile Phone System

Disaster management is the important filed in our world. It is based on communication between rescue-workers and trapped survivors in the disaster situation. In this paper, two main components are namely messaging system and self rescue system. Messaging system runs on rescue workers as-well-as trapped survivors. Self rescue system runs on trapped survivors. When the rescue workers enter into the spot for recovery works they will provide network continuously within certain distance and range. The head node collects all the necessary information about the nearby trapped survivors in their group. The rescue worker forwards the collected information of the trapped survivors to the command centre. The command centre finds the route between rescue workers in disaster region using AODV routing protocol.