Nursing and Institutional Responsibilities for In-Hospital Stroke.

In-hospital stroke events occur less often than stroke outside of a health care facility; yet, the need for timely evaluation and treatment is the same regardless of geographic location. During hospitalization, nurses are generally the first to recognize possible symptoms of stroke and activate emergency protocols. Such actions in response to changes in patient condition are critical to optimal patient outcomes. A recent scientific statement from the American Heart Association notes that patients with in-hospital stroke are likely to experience delayed recognition of symptoms, less likely to receive intravenous thrombolysis therapy, and have worse outcomes compared with community-occurring stroke. The aim of this article is to expand upon that scientific statement to assist nurses and acute care hospitals in the United States and elsewhere with similar health care systems to create evidence-based, nurse-driven protocols for in-hospital stroke recognition and management.

Lipidomics, Acute Ischemic Stroke, Symptoms, and Outcomes: Observational Study Protocol.

BACKGROUND: Acute ischemic stroke is one of the leading causes of death and disability globally. Recent advances in omics methodology enable lipidomic profiling, which may provide knowledge of the underlying pathology of acute ischemic stroke and its associated outcomes. OBJECTIVE: This study aims to examine the longer-term relationships between symptoms and outcomes following acute ischemic stroke and the underlying lipidomic signatures over 6 months during recovery between acute ischemic stroke patients who received reperfusion therapies and those who did not. METHODS: This prospective cohort study will enroll 104 participants post-acute ischemic stroke in two groups based on their receipt of reperfusion therapy (Group 1) or not (Group 2; n = 52/group). Peripheral plasma samples will be collected from both groups for lipidomic analysis over 6 months. Arterial blood samples will be collected during the procedure for those receiving reperfusion. Self-reported symptoms and outcome data will be collected from both groups. DISCUSSION: We will compare and examine the associations among plasma lipidomic biomarkers and symptoms and cognitive, functional, and health-related quality of life outcomes over 6 months between acute ischemic stroke patients who did and did not receive reperfusion intervention.

Interrelationships among workload, illness severity, and function on return to work following acute respiratory distress syndrome.

BACKGROUND: Inability to return to work (RTW) is common after acute respiratory distress syndrome (ARDS). OBJECTIVES: The aim of this study is to examine interrelationships among pre-ARDS workload, illness severity, and post-ARDS cognitive, psychological, interpersonal, and physical function with RTW at 6 and 12 months after ARDS. METHODS: We conducted a secondary analysis using the US multicentre ARDS Network Long-Term Outcomes Study. The US Occupational Information Network was used to determine pre-ARDS workload. The Mini-Mental State Examination and SF-36 were used to measure four domains of post-ARDS function. Analyses used structural equation modeling and mediation analyses. RESULTS: Among 329 previously employed ARDS survivors, 6- and 12-month RTW rates were 52% and 56%, respectively. Illness severity (standardised coefficients range: -0.51 to -0.54, p < 0.001) had a negative effect on RTW at 6 months, whereas function at 6 months (psychological [0.42, p < 0.001], interpersonal [0.40, p < 0.001], and physical [0.43, p < 0.001]) had a positive effect. Working at 6 months (0.79 to 0.72, P < 0.001) had a positive effect on RTW at 12 months, whereas illness severity (-0.32 to -0.33, p = 0.001) and post-ARDS function (psychological [6 months: 0.44, p < 0.001; 12 months: 0.33, p = 0.002], interpersonal [0.44, p < 0.001; 0.22, p = 0.03], and physical abilities [0.47, p < 0.001; 0.33, p = 0.007]) only had an indirect effect on RTW at 12 months mediated through work at 6 months. CONCLUSIONS: RTW at 12 months was associated with patients' illness severity; post-ARDS cognitive, psychological, interpersonal, and physical function; and working at 6 months. Among these factors, working at 6 months and function may be modifiable mediators of 12-month post-ARDS RTW. Improving ARDS survivors' RTW may include optimisation of workload after RTW, along with interventions across the healthcare spectrum to improve patients' physical, psychological, and interpersonal function.

Association of imbalance between job workload and functional ability with return to work in ARDS survivors.

BACKGROUND: Inability to return to work (RTW) is common after acute respiratory distress syndrome (ARDS). Mismatch in an individual's job workload and his or her functional ability, termed work ability imbalance, is negatively associated with RTW, but has not been evaluated in ARDS survivors. OBJECT: We examine associations between work ability imbalance at 6 months and RTW at 6 months and 12 months, as well as the ability to sustain employment in ARDS survivors. METHODS: Previously employed participants from the ARDS Network Long-Term Outcomes Study (N=341) were evaluated. Pre-ARDS workload was determined based on the US Occupational Information Network classification. Post-ARDS functional ability was assessed using self-reported 36-Item Short Form Health Survey (SF-36) physical functioning, social functioning and mental health subscales, and Mini-Mental State Examination. ARDS survivors were categorised into four work ability imbalance categories: none, psychosocial, physical, and both psychosocial and physical. RESULTS: Almost 90% of ARDS survivors had a physical and/or psychosocial work ability imbalance at both 6-month and 12-month follow-up. Compared with survivors with no imbalance at 6 months, those with both physical and psychosocial imbalance had lower odds of RTW (6 months: OR=0.33, 95% CI=0.13 to 0.82; 12 months: OR=0.22, 95% CI=0.07 to 0.65). Thirty-eight (19%) of those who ever RTW were subsequently jobless at 12 months. CONCLUSION: Interventions aimed at rebalancing ARDS survivors' work ability by addressing physical and psychosocial aspects of their functional ability and workload should be explored as part of efforts to improve RTW, maintain employment and reduce the financial impact of joblessness.

A Systematic Review of Virtual Reality Therapeutics for Acute Pain Management.

OBJECTIVES: The purpose of this systematic review is to examine the delivery and clinical efficacy of virtual reality (VR) therapeutics for acute pain management in adults and identify practical considerations of VR deployment, as well as current gaps in the literature. DESIGN: A systematic review. DATA SOURCES: A search of PubMed, CINAHL, PsychINFO, Embase, Compendex, and Inspec was completed using Medical Subject Headings (MeSH) and keyword search terms related to acute pain and VR. REVIEW/ANALYSIS METHODS: A systematic review of all pertinent articles published between January 1, 2000, and August 1, 2020, was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. RESULTS: Twenty-three articles met final inclusion criteria and were included in this review. Studies utilized VR in a variety of settings for wound care, procedure-induced pain, physical or occupational therapy, dental treatment or generalized acute pain. A likely mechanism by which VR promoted analgesia in these studies is distraction. Of the reviewed studies, 19 (83%) reported decreases in pain intensity while using VR compared with no VR use or with a non-VR group. CONCLUSIONS: This systematic review found VR to be an effective tool for acute pain management. Findings from this review also underscore the importance of addressing the patient's sense of presence and levels of immersion, interaction, and interest when deploying VR. Future VR studies should consider incorporation of anxiety, presence, and VR side effect measures in addition to acute pain metrics.

Perceptions of and Experiences with Consumer Sleep Technologies That Use Artificial Intelligence.

This study aims to assess the perspectives and usability of different consumer sleep technologies (CSTs) that leverage artificial intelligence (AI). We answer the following research questions: (1) what are user perceptions and ideations of CSTs (phase 1), (2) what are the users' actual experiences with CSTs (phase 2), (3) and what are the design recommendations from participants (phases 1 and 2)? In this two-phase qualitative study, we conducted focus groups and usability testing to describe user ideations of desires and experiences with different AI sleep technologies and identify ways to improve the technologies. Results showed that focus group participants prioritized comfort, actionable feedback, and ease of use. Participants desired customized suggestions about their habitual sleeping environments and were interested in CSTs+AI that could integrate with tools and CSTs they already use. Usability study participants felt CSTs+AI provided an accurate picture of the quantity and quality of sleep. Participants identified room for improvement in usability, accuracy, and design of the technologies. We conclude that CSTs can be a valuable, affordable, and convenient tool for people who have issues or concerns with sleep and want more information. They provide objective data that can be discussed with clinicians.

Factors associated with employment outcome after critical illness: Systematic review, meta-analysis, and meta-regression.

AIMS: To synthesize data on prevalence and risk factors for return to work (RTW) in ICU survivors. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PUBMED, CINAHL, EMBASE and PsycINFO databases were searched from 2000-Feb 2020. REVIEW METHODS: Peer-reviewed articles that included adult ICU survivors and employment outcomes. Two investigators independently reviewed articles following the PRISMA protocol. Pooled prevalence for RTW was calculated. Meta-regression analyses were performed to assess the association between disability policies, temporal factors and RTW following ICU. RESULTS: Twenty-eight studies (N = 8,168) met the inclusion criteria. All studies were scored as 'low risk of bias'. Using meta-analysis, the proportion (95% CI) of RTW following ICU was 29% (0.20,0.42), 59% (0.50,0.70), 56% (0.50,0.62), 63% (0.54,0.72), 58% (0.37,0.91), 58% (0.42,0.81), and 44% (0.25,0.76) at 3, 4-6, 7-12, 13-24, 25-36, 37-48, and 49-60 months, respectively. Time and disability policy support are factors associated with the proportion of ICU survivors who RTW. Through meta-regression, there is a 20% increase (95% CI: 0.06, 0.33) in the proportion of individuals who RTW per year. However, the average rate of increase slows by 4% (-0.07, -0.1) per year. In countries with high support policies, the proportion of RTW is 32% higher compared with countries with low support policies (0.08, 0.24). However, as subsequent years pass, the additional proportion of individuals RTW in high support countries declines (ß = -0.06, CI: -0.1, -0.02). CONCLUSIONS: Unemployment is common in ICU survivors. Countries with policies that give higher support for disabled workers have a higher RTW proportion to 3 years following ICU admission. However, from 3-5 years, there is a shift to countries with lower support policies having better employment outcomes. IMPACT: Health care policies have an impact on RTW rate in survivors of ICU. Healthcare providers, including nurses, can function as public advocates to facilitate policy change.

Internet-of-Things Smart Home Technology to Support Aging-in-Place: Older Adults' Perceptions and Attitudes.

The purpose of the current study was to examine older adults' perceptions of Internet-of-Things (IoT) smart home devices as part of a real-world feasibility study and describe what factors affect adoption of these technologies. A total of 37 community-dwelling older adults enrolled in the 2-month study. Participants chose among different IoT devices to be installed in their home for the study period. Semi-structured interviews to explore perceptions of the technology were conducted. Older adults have unique preferences for specific types of IoT devices and their functionalities. Similarly, there were different degrees of acceptability across devices. In general, older adults had a positive attitude toward IoT smart home technologies to support their health management. Emergency preparedness was a key benefit of IoT devices identified by many older adults. In addition, convenience of a voice interface provided by a smart speaker was appreciated among participants. Older adults seemed to weigh the benefits and actual need for having the devices against potential infringements on privacy. Nurses and system designers should consider ethical and practical challenges related to the interconnected services of the IoT domain for older adults. [Journal of Gerontological Nursing, 47(4), 15-21.].

Falls and Cognitive Training 2 (FaCT2) study protocol: a randomised controlled trial exploring cognitive training to reduce risk of falls in at-risk older adults.

BACKGROUND: The primary cause of traumatic injury in older adults is fall. Recent reports suggest that cognitive function contributes significantly to fall risk. Therefore, by targeting cognitive function for intervention, we could potentially reduce the incidence of fall and injury. PRIMARY OBJECTIVE: To explore the effectiveness of a 16-week cognitive training (CT) intervention to reduce risk and incidence of fall in community-dwelling older adults at risk for fall. OUTCOMES: Primary outcome is number of falls over a 16-week period (ascertained by fall calendar method). Secondary outcomes include: change fall risk as indicated by improvement in 10 m walk and 90 s balance tests. DESIGN/METHODS: The design is a two-group randomised controlled trial. Eligible participants are older adults (aged 65-85) residing in the community who are at risk for fall based on physical performance testing. Following completion of 1-week run-in phase, participants are randomly allocated (1:2) to either a group that is assigned to attention control or to the group that receives CT intervention for a total of 16 weeks. Participants are followed for an additional 4 weeks after intervention. Mann-Whitney U test and Student's t-test will be used to examine between-group differences using intention-to-treat analyses. DISCUSSION: Limited evidence supports the potential of CT to improve cognition and gait, but no published study has evaluated whether such an intervention would reduce incidence of fall. The present trial is designed to provide initial answers to this question. CT may also improve functioning important in other activities (eg, driving), reducing overall risk of injury in elders. TRIAL REGISTRATION NUMBER: NCT03190460.

IMPACT and CRASH prognostic models for traumatic brain injury: external validation in a South-American cohort.

OBJECTIVE: To develop a robust prognostic model, the more diverse the settings in which the system is tested and found to be accurate, the more likely it will be generalisable to untested settings. This study aimed to externally validate the International Mission for Prognosis and Clinical Trials in Traumatic Brain Injury (IMPACT) and Corticosteroid Randomization after Significant Head Injury (CRASH) models for low-income and middle-income countries using a dataset of patients with severe traumatic brain injury (TBI) from the Benchmark Evidence from South American Trials: Treatment of Intracranial Pressure study and a simultaneously conducted observational study. METHOD: A total of 550 patients with severe TBI were enrolled in the study, and 466 of those were included in the analysis. Patient admission characteristics were extracted to predict unfavourable outcome (Glasgow Outcome Scale: GOS<3) and mortality (GOS 1) at 14 days or 6 months. RESULTS: There were 48% of the participants who had unfavourable outcome at 6 months and these included 38% who had died. The area under the receiver operating characteristic curve (AUC) values were 0.683-0.775 and 0.640-0.731 for the IMPACT and CRASH models respectively. The IMPACT CT model had the highest AUC for predicting unfavourable outcomes, and the IMPACT Lab model had the best discrimination for predicting 6-month mortality. The discrimination for both the IMPACT and CRASH models improved with increasing complexity of the models. Calibration revealed that there were disagreement between observed and predicted outcomes in the IMPACT and CRASH models. CONCLUSION: The overall performance of all IMPACT and CRASH models was adequate when used to predict outcomes in the dataset. However, some disagreement in calibration suggests the necessity for updating prognostic models to maintain currency and generalisability.

Impact of aging on the immune response to traumatic brain injury (AIm:TBI) study protocol.

BACKGROUND: Traumatic brain injury (TBI) in older adults leads to considerable morbidity and mortality. Outcomes among older adults with TBI are disparately worse than in younger adults. Differences in immunological response to injury may account for at least some of this disparity. Understanding how ageing differentially affects the immune response to TBI and how older age and these immunological changes affect the natural history of recovery following TBI are the goals of this study. DESIGN/METHODS: A prospective multiple cohort design is being used to assess the effects of ageing and TBI on immune makers and to test predictors of impairment and disability in older adults following mild TBI. Older adults (>55 years) with mild TBI are enrolled with three comparison groups: younger adults (21-54 years) with mild TBI, non-injured older adults (>55 years) and non-injured young adults (21-54 years). For the primary analysis, we will assess the association between immune markers and Glasgow Outcome Scale-Extended at 6 months, using logistic regression. Predictors of interest will be inflammatory biomarkers. Multivariate linear regression will be used to evaluate associations between biomarkers and other outcomes (symptoms, function and quality of life) at 3 and 6 months. Exploratory analyses will investigate the utility of biomarkers to predict outcome using receiver-operating characteristic curves. DISCUSSION: A better understanding of the recovery trajectory and biological rationale for disparate outcomes following TBI in older adults could allow for development of specific interventions aimed at reducing or eliminating symptoms. Such interventions could reduce impairment and healthcare costs.

Impact of Age on Plasma Inflammatory Biomarkers in the 6 Months Following Mild Traumatic Brain Injury.

OBJECTIVE: To compare plasma inflammatory biomarker concentrations to 6 months in young and older adults with and without mild traumatic brain injury (TBI). SETTING: Level 1 trauma center. PARTICIPANTS: Younger (21-54 years) and older (55+) adults diagnosed with mild TBI along with age-/sex-matched noninjured controls (n = 313). DESIGN: Prospective cohort study. MAIN MEASURES: Multiplex assays were used to quantify concentrations of selected plasma inflammatory markers at day 0, months 1 and 6. RESULTS: Persistent aging-related differences were found between control groups in concentrations of 4 cytokines up to 6 months. At day 0, interleukin-6 (IL-6), IL-8, and fractalkine were higher in the older TBI compared with older control as well as the younger TBI groups, while IL-10 was higher in older TBI compared with controls. At month 1, significantly higher concentrations of IL-8, fractalkine, and tumor necrosis factor-α (TNF-α) were seen. At 6 months postinjury, significantly higher concentrations of IL-6 and IL-8 were seen, while a lower concentration of IL-7 was found in older versus younger TBI groups. CONCLUSION: The neuroinflammatory signature that accompanies mild TBI in older adults differs from that of younger adults. The differences seen are notable for their roles in neutrophil attraction (IL-8), neuronal-microglial-immune cell interactions (fractalkine), and chronic inflammation (IL-6).

Sleep Disturbances Following Traumatic Brain Injury in Older Adults: A Comparison Study.

OBJECTIVES: To compare the prevalence of sleep disturbances in older adults with traumatic brain injury (TBI) with that of age- and gender-matched controls and to determine the risk factors for post-TBI sleep disturbances and the effects of post-TBI disturbances on quality of life (QOL). DESIGN: Cross-sectional case-comparison study. PARTICIPANTS: Eighty older adults (aged ≥65 years) with first-time TBI more than 3 months since injury and 80 older adults controls without TBI who completed sleep and health-related QOL questionnaires. RESULTS: Older adults with TBI showed a higher prevalence of obstructive sleep apnea (OSA), insomnia, and daytime sleepiness than older adult controls. Being male, having higher levels of depression and pain, and the presence of insomnia were significantly correlated with the risks of OSA, insomnia, and daytime sleepiness following TBI, respectively. Both OSA and insomnia were significantly correlated with low QOL in older adults with TBI. CONCLUSIONS: Sleep disturbances are highly prevalent in older adults with TBI. Gender differences, depression severity, and pain level are correlated with the occurrence of post-TBI sleep disturbances. Both OSA and insomnia are regarded as major contributors to low QOL in older people with TBI. Interventions targeted at post-TBI sleep disturbances may improve QOL of older adults.

Emerging Smart Home Technologies to Facilitate Engaging With Aging.

Engaging with aging (EWA), the ongoing process of an individual to identify resources and implement adaptive strategies to maximize quality of life, may be enhanced by advances in information technology and adaptive upgrades to the built environment. Smart home technologies (SmHT) introduce passive monitoring features into the residential infrastructure to promote older adults' ability to manage day-to-day living and age in place. This article provides an overview of current and emerging SmHT and discusses opportunities to leverage this technology for enhancing the capacity of older adults to engage with their own aging. There are opportunities to create smart homes that enhance physical and cognitive capacity for older adults, but there are also ethical and practical challenges that will inform the design of future smart home systems. [Journal of Gerontological Nursing, 45(12), 41-48.].

Comfort and Attitudes Towards Robots Among Young, Middle-Aged, and Older Adults: A Cross-Sectional Study.

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.

Pilot testing a digital pet avatar for older adults.

Social isolation in older adults is a major public health concern. An embodied conversational agent (ECA) has the potential to enhance older adults' social interaction. However, little is known about older adults' experience with an ECA. In this paper, we conducted a pilot study to examine the perceived acceptance and utility of a tablet-based conversational agent in the form of an avatar (termed "digital pet") for older adults. We performed secondary analysis of data collected from a study that employed the use of a digital pet in ten older adults' homes for three months. Most of the participants enjoyed the companionship, entertainment, reminders, and instant assistance from the digital pet. However, participants identified limited conversational ability and technical issues as system challenges. Privacy, dependence, and cost were major concerns. Future applications should maximize the agent's conversational ability and the system's overall usability. Our results can inform future designs of conversational agents for older adults, which need to include older adults as system co-designers to maximize usability and acceptance.

Assessing blood granulocyte colony-stimulating factor as a potential biomarker of acute traumatic brain injury in mice and humans.

Previous work has found that serum G-CSF was acutely elevated in mice 24h but not one week after controlled cortical impact (CCI). The purpose of this study was to investigate whether blood G-CSF correlates with the elevated brain cytokines in mice after CCI and also if it correlates with traumatic brain injury (TBI) in humans. Here, we found in mice undergoing CCI, a procedure that induces direct injury to the brain, that serum G-CSF correlated directly or indirectly with several brain cytokines, indicating it is a useful marker for the neuroinflammation of TBI. A pilot study in humans (phase I, n=19) confirmed that plasma G-CSF is acutely elevated on day 1 (p<0.001) of TBI and has returned to baseline by one week. In a second human sample (phase II) (n=80), we found plasma G-CSF peaks about 12h after arriving in the emergency department (41.6+/-5.4 pg/ml). Aging was weakly associated (p<0.05) with a less robust elevation in serum G-CSF, but there was no difference with gender. ISS, a measure of total severity of injury, correlated with the degree of elevation in serum G-CSF (r=.419; p<0.05), but severity of head injury (via AIS) did not. The latter may have been because of the statistically narrow range of head injuries among our cases and the high number of cases diagnosed with closed head injury (a non-codable diagnosis). In conclusion, plasma G-CSF may be a useful biomarker of TBI, correlating with neuroinflammation in the animal model and in the human studies with time since injury and total severity of injury. As such, it may be useful in determining whether TBI has occurred within the last 24h.

Older Adults' Experience with a Novel Fall Detection Device.

BACKGROUND: Falls are a significant concern for the older adult (OA) population, many of whom are unable to get up following a fall. INTRODUCTION: While many devices exist designed to detect a fall, little work has been conducted to evaluate the usability of such devices. We present a longitudinal usability study of a fall detection (FD) device tested with OAs in real-world settings. MATERIALS AND METHODS: OAs were recruited and asked to use a wearable FD device for up to 4 months. Participants were interviewed at baseline and 2 and 4 months and encouraged to provide direct feedback on their experience. RESULTS: In total, 18 OAs participated in the study. Eight completed the 4-month trial. We conducted a total of 38 interviews (16 baseline, 7 midpoint, and 15 final) and logged a total of 78 comments. While participants enjoyed the GPS and automatic detection features of the device, they were unhappy with the volume of false alarms and obtrusiveness of the device. Many also did not see a great need for having the device or were embarrassed by the device. DISCUSSION: Engineers must work to better develop this technology so that it is accessible to people with hearing loss, limited dexterity, and low vision. Utilizing age-appropriate design techniques will help make such informatics tools more user friendly. CONCLUSION: We explored the usability of a particular FD device with OAs and provide design recommendations to help future device manufacturers create more age-appropriate devices.

Ethical Considerations Regarding the Use of Smart Home Technologies for Older Adults: An Integrative Review.

PROBLEM: With the wide adoption and use of smart home applications, there is a need for examining ethical issues regarding smart home use at the intersection of aging, technology, and home environment. PURPOSE: The purpose of this review is to provide an overview of ethical considerations and the evidence on these ethical issues based on an integrative literature review with regard to the utilization of smart home technologies by older adults and their family members. REVIEW DESIGN AND METHODS: We conducted an integrative literature review of the scientific literature from indexed databases (e. g., MEDLINE, CINAHL, and PsycINFO). The framework guiding this review is derived from previous work on ethical considerations related to telehealth use for older adults and smart homes for palliative care. Key ethical issues of the framework include privacy, informed consent, autonomy, obtrusiveness, equal access, reduction in human touch, and usability. RESULTS: Six hundred and thirty-five candidate articles were identified between the years 1990 and 2014. Sixteen articles were included in the review. Privacy and obtrusiveness issues appear to be the most important factors that can affect smart home technology adoption. In addition, this article recommends that stigmatization and reliability and maintenance of the system are additional factors to consider. IMPLICATIONS: When smart home technology is used appropriately, it has the potential to improve quality of life and maintain safety among older adults, ultimately supporting the desire of older adults for aging in place. The ability to respond to potential ethical concerns will be critical to the future development and application of smart home technologies that aim to enhance safety and independence.

An evaluation of wellness assessment visualizations for older adults.

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.