This study aims to examine which resources older adults utilize for their health information needs, how trustworthy and reliable they find these resources, and the difficulties they face in obtaining health-related information. A 41-item survey designed to understand the information-seeking characteristics of older adults was developed and distributed to retirement communities. Some items were taken from the Health Information National Trends Survey. Of 1520 surveys, 403 were returned completed (26.6%). Respondents’ mean age was 77.65 years. Average scores indicated respondents trusted particular sources of health information in the following order (highest to lowest): health care providers, pharmacists, friends and relatives, retirement community staff, newspapers, the Internet, television, and the radio. In conclusion, older adults have a greater amount of trust in a person with whom they are able to actively discuss their health as opposed to a nonliving source, which they have to access or manipulate, such as the Internet. Efforts must be made to help older adults better navigate and utilize the Internet and recognize dependable online sources so that they may increase their trust in its use, thereby increasing satisfaction with their own ability to seek and use sources of health information.
The development of ongoing assessment tools to monitor older adult health and wellness can support improved quality of life and independence. These technologies have often been employed within private residences. Our work describes a telehealth kiosk system implemented within a community setting, which reduces the costs of installing and maintaining individual systems. Though user acceptance of telehealth systems has been studied within the context of home residences, this has yet to be addressed for community-based systems. Older adults in a retirement community were recruited to use a telehealth system including assessment of vital signs and cognitive performance. With a series of focus groups (N = 12, average age 79.3 years), we examined user perceptions of the telehealth kiosk, addressing issues of usability, effectiveness and privacy. Older adults were favorable towards the collection of health monitoring information, recognizing the utility of these data sources. There were issues of usability, especially regarding ergonomics of the telehealth kiosk. We found no concerns over privacy, with some participants expressing increased preference for the social interactions afforded through the community setting. Understanding the social, technical and human factors involved with a community-based telehealth system can inform the design of cost-effective health monitoring systems.
While health information technologies have become increasingly popular, many have not been formally tested to ascertain their usability. Traditional rigorous methods take significant amounts of time and manpower to evaluate the usability of a system. In this paper, we evaluate the use of instant data analysis (IDA) as developed by Kjeldskov et al. to perform usability testing on a tool designed for older adults and caregivers. The IDA method is attractive because it takes significantly less time and manpower than the traditional usability testing methods. In this paper we demonstrate how IDA was used to evaluate usability of a multifunctional wellness tool, discuss study results and lessons learned while using this method. We also present findings from an extension of the method which allows the grouping of similar usability problems in an efficient manner. We found that the IDA method is a quick, relatively easy approach to identifying and ranking usability issues among health information technologies.
Background: Smart home technologies provide a valuable resource to unobtrusively monitor health and wellness within an older adult population. However, the breadth and density of data available along with aging associated decreases in working memory, prospective memory, spatial cognition, and processing speed can make it challenging to comprehend for older adults. We developed visualizations of smart home health data integrated into a framework of wellness. We evaluated the visualizations through focus groups with older adults and identified recommendations to guide the future development of visualizations. Materials and Methods: We conducted four focus groups with older adult participants (n = 31) at an independent retirement community. Participants were presented with three different visualizations from a wellness pilot study. A qualitative descriptive analysis was conducted to identify thematic content. Results: We identified three themes related to processing and application of visualizations: (1) values of visualizations for wellness assessment, (2) cognitive processing approaches to visualizations, and (3) integration of health data for visualization. In addition, the focus groups highlighted key design considerations of visualizations important towards supporting decision-making and evaluation assessments within integrated health displays. Conclusions: Participants found inherent value in having visualizations available to proactively engage with their healthcare provider. Integrating the visualizations into a wellness framework helped reduce the complexity of raw smart home data. There has been limited work on health visualizations from a consumer perspective, in particular for an older adult population. Creating appropriately designed visualizations is valuable towards promoting consumer involvement within the shared decision-making process of care.
A third of adults over the age of 65 are estimated to fall at least once a year. Perhaps as dangerous as the fall itself is the time spent after a fall if the person is unable to move. Although there are many devices available to detect when a person has fallen, little is known about the opinions of older adults regarding these fall detection devices (FDDs). We conducted five focus groups with 27 older adults. Transcripts from sessions were coded to generate themes that captured participants' perceptions. Themes were identified that related to two topics of interest: (a) personal influences on the participants' desire to have a FDD, including perceived need, participant values, and cost, and (b) participant recommendations regarding specific features and functionalities of these devices such as automation, wearable versus non-wearable devices, and device customization. Together, these themes suggest ways in which FDDs may be improved so that they are suitable for their intended population.
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