8,098 research outputs found

    Into the Wild: Pushing a Telepresence Robot Outside the Lab

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    Most robotic systems are usually used and evaluated in laboratory setting for a limited period of time. The limitation of lab evaluation is that it does not take into account the different challenges imposed by the fielding of robotic solutions into real contexts. Our current work evaluates a robotic telepresence platform to be used with elderly people. This paper describes our progressive effort toward a comprehensive, ecological and longitudinal evaluation of such robots outside the lab. It first discusses some results from a twofold short term evaluation performed in Italy. Specifically we report results from both a usability assessment in laboratory and a subsequent study obtained by interviewing 44 healthcare workers as possible secondary users (people connecting to the robot) and 10 older adults as possible primary users (people receiving visits through the robot). It then describes a complete evaluation plan designed for a long term assessment to be applied "outside the lab" dwelling on the initial application of such methodology to test sites in Italy

    Acceptance and commitment therapy for older people with treatment-resistant generalised anxiety disorder: the FACTOID feasibility study

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    BACKGROUND: Generalised anxiety disorder, characterised by excessive anxiety and worry, is the most common anxiety disorder among older people. It is a condition that may persist for decades and is associated with numerous negative outcomes. Front-line treatments include pharmacological and psychological therapy, but many older people do not find these treatments effective. Guidance on managing treatment-resistant generalised anxiety disorder in older people is lacking. OBJECTIVES: To assess whether or not a study to examine the clinical effectiveness and cost-effectiveness of acceptance and commitment therapy for older people with treatment-resistant generalised anxiety disorder is feasible, we developed an intervention based on acceptance and commitment therapy for this population, assessed its acceptability and feasibility in an uncontrolled feasibility study and clarified key study design parameters. DESIGN: Phase 1 involved qualitative interviews to develop and optimise an intervention as well as a survey of service users and clinicians to clarify usual care. Phase 2 involved an uncontrolled feasibility study and qualitative interviews to refine the intervention. SETTING: Participants were recruited from general practices, Improving Access to Psychological Therapies services, Community Mental Health Teams and the community. PARTICIPANTS: Participants were people aged ≥ 65 years with treatment-resistant generalised anxiety disorder. INTERVENTION: Participants received up to 16 one-to-one sessions of acceptance and commitment therapy, adapted for older people with treatment-resistant generalised anxiety disorder, in addition to usual care. Sessions were delivered by therapists based in primary and secondary care services, either in the clinic or at participants’ homes. Sessions were weekly for the first 14 sessions and fortnightly thereafter. MAIN OUTCOME MEASURES: The co-primary outcome measures for phase 2 were acceptability (session attendance and satisfaction with therapy) and feasibility (recruitment and retention). Secondary outcome measures included additional measures of acceptability and feasibility and self-reported measures of anxiety, worry, depression and psychological flexibility. Self-reported outcomes were assessed at 0 weeks (baseline) and 20 weeks (follow-up). Health economic outcomes included intervention and resource use costs and health-related quality of life. RESULTS: Fifteen older people with treatment-resistant generalised anxiety disorder participated in phase 1 and 37 participated in phase 2. A high level of feasibility was demonstrated by a recruitment rate of 93% and a retention rate of 81%. A high level of acceptability was found with respect to session attendance (70% of participants attended ≥ 10 sessions) and satisfaction with therapy was adequate (60% of participants scored ≥ 21 out of 30 points on the Satisfaction with Therapy subscale of the Satisfaction with Therapy and Therapist Scale-Revised, although 80% of participants had not finished receiving therapy at the time of rating). Secondary outcome measures and qualitative data further supported the feasibility and acceptability of the intervention. Health economic data supported the feasibility of examining cost-effectiveness in a future randomised controlled trial. Although the study was not powered to examine clinical effectiveness, there was indicative evidence of improvements in scores for anxiety, depression and psychological flexibility. LIMITATIONS: Non-specific therapeutic factors were not controlled for, and recruitment in phase 2 was limited to London. CONCLUSIONS: There was evidence of high levels of feasibility and acceptability and indicative evidence of improvements in symptoms of anxiety, depression and psychological flexibility. The results of this study suggest that a larger-scale randomised controlled trial would be feasible to conduct and is warranted. TRIAL REGISTRATION: Current Controlled Trials ISRCTN12268776. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 54. See the NIHR Journals Library website for further project information

    Mindfulness-Based Stress Reduction for Family Caregivers: A Randomized Controlled Trial

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    Purpose: Caring for a family member with dementia is associated with chronic stress, which can have significant deleterious effects on caregivers. The purpose of the Balance Study was to compare a mindfulness-based stress reduction (MBSR) intervention to a community caregiver education and support (CCES) intervention for family caregivers of people with dementia. Design and Methods: We randomly assigned 78 family caregivers to an MBSR or a CCES intervention, matched for time and attention. Study participants attended 8 weekly intervention sessions and participated in home-based practice. Surveys were completed at baseline, postintervention, and at 6 months. Participants were 32- to 82-year-old predominately non-Hispanic White women caring for a parent with dementia. Results: MBSR was more effective at improving overall mental health, reducing stress, and decreasing depression than CCES. Both interventions improved caregiver mental health and were similarly effective at improving anxiety, social support, and burden. Implications: MBSR could reduce stress and improve mental health in caregivers of family members with dementia residing in the community

    Factors Influencing Continued Wearable Device Use in Older Adult Populations: Quantitative Study

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    Background: The increased use of wearable sensor technology has highlighted the potential for remote telehealth services such as rehabilitation. Telehealth services incorporating wearable sensors are most likely to appeal to the older adult population in remote and rural areas, who may struggle with long commutes to clinics. However, the usability of such systems often discourages patients from adopting these services. Objective: This study aimed to understand the usability factors that most influence whether an older adult will decide to continue using a wearable device. Methods: Older adults across 4 different regions (Northern Ireland, Ireland, Sweden, and Finland) wore an activity tracker for 7 days under a free-living environment protocol. In total, 4 surveys were administered, and biometrics were measured by the researchers before the trial began. At the end of the trial period, the researchers administered 2 further surveys to gain insights into the perceived usability of the wearable device. These were the standardized System Usability Scale (SUS) and a custom usability questionnaire designed by the research team. Statistical analyses were performed to identify the key factors that affect participants’ intention to continue using the wearable device in the future. Machine learning classifiers were used to provide an early prediction of the intention to continue using the wearable device. Results: The study was conducted with older adult volunteers (N=65; mean age 70.52, SD 5.65 years) wearing a Xiaomi Mi Band 3 activity tracker for 7 days in a free-living environment. The results from the SUS survey showed no notable difference in perceived system usability regardless of region, sex, or age, eliminating the notion that usability perception differs based on geographical location, sex, or deviation in participants’ age. There was also no statistically significant difference in SUS score between participants who had previously owned a wearable device and those who wore 1 or 2 devices during the trial. The bespoke usability questionnaire determined that the 2 most important factors that influenced an intention to continue device use in an older adult cohort were device comfort (τ=0.34) and whether the device was fit for purpose (τ=0.34). A computational model providing an early identifier of intention to continue device use was developed using these 2 features. Random forest classifiers were shown to provide the highest predictive performance (80% accuracy). After including the top 8 ranked questions from the bespoke questionnaire as features of our model, the accuracy increased to 88%. Conclusions: This study concludes that comfort and accuracy are the 2 main influencing factors in sustaining wearable device use. This study suggests that the reported factors influencing usability are transferable to other wearable sensor systems. Future work will aim to test this hypothesis using the same methodology on a cohort using other wearable technologies

    Home care: a review of effectiveness and outcomes

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    John A. Hartford Foundation - 2007 Annual Report

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    Contains mission statement, board chair's message, program information and profiles, grants list, application guidelines, financial statements, and lists of board members and staff

    Collaborating to Create Elder Friendly Communities in New Hampshire: A Scan of the Current Landscape

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    The fact that the population of the United States is aging is no surprise; the demographic projections are well documented. There have never been as many older adults living as there are today, and this number will only increase. Northern New England is aging more rapidly than the rest of the country, with Vermont, Maine, and New Hampshire having the oldest populations in term of median age (U.S. Census, 2014). New Hampshire is expected to be the fastest aging state in New England through 2030, with nearly one-third of its population being over the age of 65 (Norton, 2011). This phenomenon is anticipated to place substantial pressure on publicly-funded health programs and long-term services and supports in the Granite State. But the story of the aging of the population is not only about increased numbers. As longevity increases, the average age of the older population will see a dramatic increase. The number of persons over the age of 85 in the United States is expected to increase five-fold by 2040. As the possibility for functional limitations and disability increases with age, the need for long-term, formal, and informal supports is expected to increase as the number of older adults, particularly those over the age of 85 increases. In addition, women continue to live longer than men; on average, life expectancy for women is three years longer than for men. These factors create a complex picture of aging, which includes a growing population of older adults, a majority of whom will be women; and a growing number of those over the age of 85, who are more likely to require some type of assistance as they age. It is a mistake to look at our aging population in a singular way. Although we tend to make generalizations about older adults, as a group, they are more physiologically and socially diverse than any other age group (Brummel-Smith & Mosqueda, 2003). As we age, we become more and more diverse, as there are no two people who have had the same life experiences, shaping who we are over our lifetimes. The baby boomers (those born between 1946 and 1964) are likely to be the most diverse cohort of older adults we have seen to date, and it is likely that they will redefine our conception of age and aging. Older adults bring a diverse set of skills, talents, and knowledge that should be tapped as a significant natural resource to support a new and exciting vision of aging
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