Interest in technology for older adults is driven by multiple converging trends: the rapid pace of technological development; the unprecedented growth of the aging population in the United States and worldwide; the increase in the number and survival of persons with disability; the growing and unsustainable costs of caring for the elderly people; and the increasing interest on the part of business, industry, and government agencies in addressing health care needs with technology. These trends have contributed to the strong conviction that technology can play an important role in enhancing quality of life and independence of older individuals with high levels of efficiency, potentially reducing individual and societal costs of caring for the elderly people. The purpose of this "Forum" position article is to integrate what we know about older adults and technology systems in order to provide direction to this vital enterprise. We define what we mean by technology for an aging population, provide a brief history of its development, introduce a taxonomy for characterizing current technology applications to older adults, summarize research in this area, describe existing development and evaluation processes, identify factors important for the acceptance of technology among older individuals, and recommend future directions for research in this area.

No abstract

BackgroundExamination of mediating behavioral factors could explain how an intervention works and thus provide guidance to optimize behavioral weight-loss programs. This study examined the mediating role of adherence to self-monitoring of diet and physical activity on weight loss in a behavioral weight-loss trial testing the use of personal digital assistants (PDA) for self-monitoring.MethodsMediation analysis was conducted to examine the possible mediating role of adherence to self-monitoring of diet and physical activity between treatments using varying self-monitoring methods (paper record, PDA, and PDA with daily tailored feedback messages) and weight loss.FindingsThe sample (N = 210) was predominantly white (78%) and female (85%). Compared to a paper record, using a PDA for self-monitoring diet (P = 0.027) and physical activity (P = 0.014) had significant direct effects on weight loss at 12 months, as well as a significant indirect effect on outcomes through improved adherence to self-monitoring (PS < 0.001). Receiving an automated daily feedback message via PDA only had a significant indirect effect on weight through self-monitoring adherence to diet (P = 0.004) and physical activity (P = 0.002).ConclusionsAdherence to self-monitoring of diet and physical activity is important as the underlying mechanism in this technology-supported behavioral weight-loss intervention.

Technology aimed at enhancing function and enabling independent living among older and disabled adults is a growing field of research. Privacy concerns are a potential barrier to adoption of such technology. Using data from a national Web survey (n=1,518), we focus on perceived acceptability of sharing information about toileting, taking medications, moving about the home, cognitive ability, driving behavior, and vital signs with five targets: family, healthcare providers, insurance companies, researchers, and government. We also examine acceptability of recording the behaviors using three methods: video with sound, video without sound, and sensors. Results show that sharing or recording information about toileting behavior; sharing information with the government and insurance companies; and recording the information using video were least acceptable. Respondents who reported current disability were significantly more accepting of sharing and recording of information than nondisabled adults, controlling for demographic

Research on intelligent walkers aims at helping elderly individuals to maintain their independence in familiar and unfamiliar environments. Several walkers have been developed by researchers at Carnegie Mellon University and the University of Pittsburgh. This article contributes to this research venue by describing the design and initial evaluations of iWalker, a multi-sensor rollator-mounted wayfinding system for the elderly. The primary difference of the proposed navigation aid from other intelligent walkers is that iWalker is assumed to operate in a smart world (SW), a physical space equipped with embedded sensors. By integrating inexpensive sensors into the environment, the cost and complexity of the walker can be reduced.

Purpose Our aims were to evaluate evidence of risk factors for falls among patients in stroke rehabilitation and to offer recommendations for clinical practice and future research. Method We conducted an integrative review of the literature published from 1990 to 2009 that describes empirical investigations of risk factors for post-stroke falls during inpatient rehabilitation. We searched Medline, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo, and Embase databases, using the search terms “accidental falls,” “fall risk,” “risk factors,” “risk assessment,” “stroke,” and “cerebrovascular disorders.” We extracted information regarding study design, sample, potential risk factors, analytic methods, findings, and limitations from the 14 articles that met our inclusion criteria, and we rated the level of evidence for each study. Findings Available empirical evidence points to impaired balance, visuospatial hemineglect, and impaired performance of activities of daily living as risk factors for falls during inpatient rehabilitation for stroke. Associations between falls and cognitive function, incontinence, visual field deficits, and stroke type were less clear, while relationships between falls and age, gender, stroke location, and impaired vision and hearing were not supported. Conclusions The relatively sparse literature pertaining to risk factors for falls among stroke rehabilitation inpatients indicates that deficits affecting balance, perception, and self-care significantly increase the likelihood of falls. Particularly intriguing is the less well established role of post-stroke cognition in falls in this population. A conceptual model is needed to guide scientific inquiry and clinical practice in this area. Clinical Relevance When clinicians in the inpatient stroke rehabilitation setting evaluate which patients are at greatest risk to fall, stroke-specific risk factors such as impaired balance, visuospatial hemineglect, and self-care deficits may be better predictors than more general risk factors such as age, incontinence, and sensory impairments. Patients with these stroke-specific deficits may benefit from the use of aggressive fall prevention interventions.

Caregivers are receptive and willing to pay for technologies that help them care for their CR, although the amount they are willing to pay is capped at around $70 per month. The combination of private pay and government subsidy may facilitate development and dissemination of caregiver technologies.

Health care providers typically rely on family caregivers (CG) of persons with dementia (PWD) to describe difficult behaviors manifested by their underlying disease. Although invaluable, such reports may be selective or biased during brief medical encounters. Our team explored the usability of a wearable camera system with 9 caregiving dyads (CGs: 3 males, 6 females, 67.00 ± 14.95 years; PWDs: 2 males, 7 females, 80.00 ± 3.81 years, MMSE 17.33 ± 8.86) who recorded 79 salient events over a combined total of 140 hours of data capture, from 3 to 7 days of wear per CG. Prior to using the system, CGs assessed its benefits to be worth the invasion of privacy; post-wear privacy concerns did not differ significantly. CGs rated the system easy to learn to use, although cumbersome and obtrusive. Few negative reactions by PWDs were reported or evident in resulting video. Our findings suggest that CGs can and will wear a camera system to reveal their daily caregiving challenges to health care providers.