The ability to walk under normal and cognitive dual task conditions is essential for safe mobility in older adults. However, while assessments of gait provide important health information, they have been limited to laboratory settings. We aimed to create an easy-to-use smartphone App enabling remote dual task walking assessments, and to demonstrate its reliability and validity in relatively healthy younger and older adults. The iPhone-based App utilized multi-media instructions and the phone's internal motion sensors to record movements during normal walking and walking with simultaneous serial-subtractions, with the phone placed in the user's pants pocket. Fourteen younger and 12 older adults completed two lab visits, during which data were acquired by the App and GAITRite mat over multiple normal and dual task walking trials. Participants also used the App to complete assessments in their homes on three separate days. Outcomes included average stride time and the dual-task cost to stride time. Across all detected strides in laboratory trials, derived outcome measures from the App were highly correlated with those derived from the GAITRite mat (Stride Time: p<0.001, r2 =0.99. Dual-task cost: p<0.001, r2 =0.98). These correlations were unaffected by age group, walking condition, and pocket tightness. Moreover, across trials, gait metrics demonstrated excellent test-retest reliability, both within and between laboratory visits and home-based assessments (ICC: 0.79-0.90). These results suggest that dual task walking assessments are valid and can be reliably administered in remote settings in relatively healthy younger and older adults.
Patient portals can be beneficial for older adults who manage their own health. However, there is a lack of research on older adults' experience using patient portals in the community. The aim of this study was to assess older adults' perceived usability of patient portals they currently use. This was a secondary data analysis using selected baseline data from an online trial that tested the effects of a 3-week Theory-Based Patient Portal eLearning Program, and included 272 older adults recruited online. Data were analyzed using descriptive statistics and content analysis. Most participants owned patient portal accounts (n = 194 [71.3%]). Self-efficacy for using patient portals was relatively low (mean, 27.1; range, 0-40), and perceived usability of patient portals was also low (mean, 28.7; range, 6-42). The most-favored features of patient portals were review of medical information and eMessaging. The main difficulties in using patient portals were associated with login/access and specific portal functions. Managing multiple patient portals was a particular challenge for many participants. Findings from this study indicate the importance of providing proper levels of training and technical support to older adults to maximize use and improve outcomes of patient portal implementation.
Virtual reality is a novel technology that provides users with an immersive experience in 3D virtual environments. The use of virtual reality is expanding in the medical and nursing settings to support treatment and promote wellness. Nursing has primarily used virtual reality for nursing education, but nurses might incorporate this technology into clinical practice to enhance treatment experience of patients and caregivers. Thus, it is important for nurses to understand what virtual reality and its features are, how this technology has been used in the health care field, and what future efforts are needed in practice and research for this technology to benefit nursing. In this article, we provide a brief orientation to virtual reality, describe the current application of this technology in multiple clinical scenarios, and present implications for future clinical practice and research in nursing.
Purpose The aim of this study was to test a modified version of the Technology Acceptance Model, which describes users’ technology adoption, to examine the relations between patient portal use and potential influencing factors in adult patients who have used patient portals. The modified model posits that patient portal use can be explained by attitude and self‐efficacy for using patient portals, perceived usefulness and ease of use, data privacy and security concerns, eHealth literacy, education level, and age. Design A cross‐sectional anonymous online survey was conducted for adult patients who had used their patient portals in the past 12 months. Methods Participants were recruited from 20 settings selected in a large integrated health care system. Data from 743 patients were subject to structural equation modeling for model testing. Findings Sixty‐eight percent were White and female, with a mean age of 53.1 years (SD = 15.34). Forty‐seven percent used patient portals about monthly or more frequently. Scores for perceived usefulness and ease of use of patient portals were relatively high (as measured using the modified Perceived Health Web Site Usability Questionnaire; each item mean, 6.0–6.2; range, 1–7). The final model adequately fit the data (comparative fit index = .983, standardized root mean square residual = .064, root mean square error of approximation = .059). Patient portal self‐efficacy and data privacy and security concerns had a direct impact on patient portal use. Perceived usefulness and ease of use, eHealth literacy, education level, and age indirectly influenced patient portal use. Conclusions This study contributes to expanding a theoretical understanding of adult patients' patient portal use in a real health care environment. Future studies need to include more diverse populations in various settings. Clinical Relevance Knowledge gained from this study can be used by technology experts to make patient portals more user friendly and by administrators to implement patient portals more effectively.
Caregiving stress is a risk factor for cardiometabolic disease. Therefore, integrating cardiometabolic biomarkers into caregiving research provides a more comprehensive assessment of an individual’s health and response to an intervention. The objective of this study was to examine the effects of a yoga-based stress reduction intervention on stress, psychological outcomes, and cardiometabolic biomarkers in cancer caregivers. This prospective randomized controlled trial enrolled family caregivers of adult patients who underwent an allogeneic HSCT at the National Institutes of Health (NIH) Clinical Center. All subjects received usual care education. Participants in the intervention group received an Iyengar yoga intervention self-administered over six weeks using an audio recording file. The primary outcome was perceived stress (measured using the NIH toolbox Perceived Stress). The secondary outcomes were psychological factors (depression and anxiety measured using PROMIS® Depression and Anxiety), and cardiometabolic biomarkers measured by nuclear magnetic resonance spectroscopy. A total of 50 family caregivers (mean [SD] age, 44.9 [15.2] years; 42 [84.0%] women) were randomized, 25 to the intervention group and 25 to the control group. No group differences were noted in stress, depression, and anxiety. Significant interaction effects between group and time were found in large TRL-P (F(1,43) = 10.16, p = 0.003) and LP-IR (F(1,42) = 4.28, p = 0.045). Post-hoc analyses revealed that the levels of large TRL-P (mean difference = 1.68, CI = [0.86, 2.51], p< .001) and LP-IR (mean difference = 5.67, CI = [1.15, 10.18], p = 0.015) significantly increased over time in the control group but while remained stable in the intervention group (mean difference = -0.15, CI = [-0.96, 0.66], p = 0.718; mean difference = -0.81, CI = [-5.22, 3.61], p = 0.714, respectively). Even when perceptions of psychological distress remain unchanged, incorporating gentle yoga poses and breathing exercises may reduce the risk of cardiometabolic disease in caregivers by inhibiting the development of insulin resistance. Standard lipids of cardiometabolic risk do not appear to be robust enough to detect short-term early changes of cardiometabolic risk in caregivers. Trial registration: ClinicalTrials.gov Identifier: NCT02257853.
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