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.
Purpose: To explore the social impact of, comfort with, and negative attitudes towards robots among young, middle-aged, and older adults in the United States. Design: Descriptive, cross-sectional. Conducted in 2014-2015 in an urban area of the western United States using a purposive sample of adults 18 years of age or older. Methods: Respondents completed a survey that included the Negative Attitudes Toward Robots Scale (NARS) and two questions taken or modified from the European Commission's Autonomous System 2015 Report. Analyses were conducted to compare perceptions and demographic factors by age groups (young adults:18-44, middle-aged adults: 45-64, and older adults: >65 years old). Findings: Sample included 499 individuals (n = 322 age 18-44 years, n = 50 age 45-64 years, and n = 102 age 65-98 years). There were no significant differences between age groups for 9 of the 11 items regarding social impact of robots and comfort with robots. There were no significant differences by age groups for 9 of the 14 items in the NARS. Among those items with statistically significant differences, the mean scores indicate similar sentiments for each group. Conclusions: Older, middle-aged, and younger adults had similar attitudes regarding the social impact of and comfort with robots; they also had similar negative attitudes towards robots. Findings dispel current perceptions that older adults are not as receptive to robots as other adults. This has implications for nurses who integrate supportive robots in their practice. Clinical Relevance: Nurses working in clinical and community roles can use these findings when developing and implementing robotic solutions. Understanding attitudes towards robots can support how, where, and with whom robots can be used in nursing practice.
Introduction: Many patients use mobile devices to track health conditions by recording patient-generated health data. However, patients and clinicians may disagree how to use these data. Objective: To systematically review the literature to identify how patient-generated health data and patient-reported outcomes collected outside of clinical settings can affect patient–clinician relationships within surgery and primary care. Methods: Six research databases were queried for publications documenting the effect of patient-generated health data or patient-reported outcomes on patient–clinician relationships. We conducted thematic synthesis of the results of the included publications. Results: Thirteen of the 3204 identified publications were included for synthesis. Three main themes were identified: patient-generated health data supported patient–clinician communication and health awareness, patients desired for their clinicians to be involved with their patient-generated health data, which clinicians had difficulty accommodating, and patient-generated health data platform features may support or hinder patient–clinician collaboration. Conclusion: Patient-generated health data and patient-reported outcomes may improve patient health awareness and communication with clinicians but may negatively affect patient–clinician relationships.
Background Older adults are not adopting personal health records (PHRs) at the same rates as other adult populations. Disparities in adoption rates are also reported in older adult subgroups. The variability in adoption may be because PHRs are not designed to meet older adult users. Objective We analyzed PHR evaluation studies to examine the characteristics and perspectives of older adult study participants to identify their self-reported needs. Method We searched Medline, CINAHL, PsycINFO and Embase for PHR evaluation studies that involved older adult participants. Results 1017 abstracts were identified, and 179 publications went through full text review. Ten publications met inclusion criteria. These publications described studies conducted in three countries, and evaluated seven PHRs. Homogeneity was found in the study populations and participant opinions of the systems. Discussion Many PHR evaluations do not include diverse older adult participants. This may lead to consistency in outcomes, but it also may create gaps in identifying user needs. Additional studies, specifically targeting diverse older adult participants, are needed to gain a more comprehensive understanding of the opinions of older adults on PHRs and how these systems could benefit older adult healthcare consumers. Conclusion The body of research shows that older adults are highly satisfied using PHRs. These outcomes may not be generalizable because most PHR evaluation studies do not include diverse older adult participants. This lack of participant diversity may be contributing to the disparities observed in PHR adoption rates.
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