BackgroundHealth apps are increasingly becoming an integral part of health care. Especially in older adults, the self-management of chronic diseases by health apps might become an integral part of health care services.ObjectiveThe aim of this explorative study was to investigate the prevalence of health app use and related demographic factors, as well as health status among older adults in Germany.MethodsA nationwide postal survey was conducted. Of the 5000 individuals contacted, a total of 576 participants completed this survey. On the basis of their self-indicated assignment to one of the three predefined user groups (health app users, general app users, and nonusers of apps), participants answered various questions regarding app and health app use, including frequency of use and number of installed apps, demographic factors, and health status.ResultsIn total, 16.5% (95/576) used health apps, whereas 37.5% (216/576) indicated only using general apps, and 46.0% (265/576) reported using no apps at all. The number of installed health apps was most frequently reported as between 1 and 5 apps per participant, which were usually used on a weekly basis. The most frequently cited type of health apps were exercise-related ones. Individuals using health apps were found to be younger (MeanmHealth 66.6, SD 4.7) and to have a higher level of technical readiness compared with general app users and nonusers of apps (adjusted odds ratio, AOR=4.02 [95% CI 2.23-7.25] for technical readiness, and AOR=0.905 [95% CI 0.85-0.97] for age). The most frequently mentioned sources of information about apps within the group of health and general app users were family and friends. Identified barriers against the use of health apps were a lack of trust, data privacy concerns, and fear of misdiagnosis.ConclusionsHealth apps are already used by older adults in Germany. The main type of apps used are exercise-related ones. Barriers to and incentives for the use of health apps and associations with health status and users’ demographics were revealed.

BackgroundFall incidents are a major problem for patients and healthcare. The “Aachen Fall Prevention App” (AFPA) represents the first mobile Health (mHealth) application (app) empowering older patients (persons 50+ years) to self-assess and monitor their individual fall risk. Self-assessment is based on the “Aachen Fall Prevention Scale,” which consists of three steps. First, patients answer ten standardized yes–no questions (positive criterion ≥ 5 “Yes” responses). Second, a ten-second test of free standing without compensatory movement is performed (positive criterion: compensatory movement). Finally, during the third step, patients rate their subjective fall risk on a 10-point Likert scale, based on the results of steps one and two. The purpose of this app is (1) to offer a low-threshold service through which individuals can independently monitor their individual fall risk and (2) to collect data about how a patient-centered mHealth app for fall risk assessment is used in the field.ResultsThe results represent the first year of an ongoing field study. From December 2015 to December 2016, 197 persons downloaded the AFPA (iOS™ and Android™; free of charge). N = 111 of these persons voluntarily shared their data and thereby participated in the field study. Data from a final number of n = 79 persons were analyzed due to exclusion criteria (age, missing objective fall risk, missing self-assessment). The objective fall risk and the self-assessed subjective risk measured by the AFPA showed a significant positive relationship.ConclusionsThe “Aachen Fall Prevention App” (AFPA) is an mHealth app released for iOS and Android. This field study revealed the AFPA as a promising tool to raise older adults’ awareness of their individual fall risk by means of a low-threshold patient-driven fall risk assessment tool.

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In view of the increase in traffic volume and growing demands on traffic, alternative mobility concepts such as automation of the driving task are increasingly being investigated. In line with this course of development project KONVOI was initiated, where an interdisciplinary research team carried out the electronic coupling of trucks. Because the technical feasibility of such automated systems had already been proved, project KONVOI focused on quantifying the impact of automated systems on traffic and on the interaction between humans and machines. Technical development of the system took place with preferential consideration of the human being. The KONVOI system was analyzed for acceptance and the potential workload by using test people in a driving simulator. The test results had a direct effect on the technical development of the system. After approval of the prototype, the traffic effects of the KONVOI system were examined in the context of real German highways. The results of this impact analysis served as a comparison of the developmental concept and evaluation of the system. Open questions concerning the effects of the KONVOI system on car drivers were investigated through additional test drives in the driving simulator. In project KONVOI, an automated system was run in real traffic for the first time in Europe. This testing and the strong consideration of the human being in the development process have provided new insights into the development of driver assistant systems and automated driving systems.