Identification of community-dwelling older adults at risk of frailty using the PERSSILAA screening pathway:A methodological guide and results of a large-scale deployment in the Netherlands

Abstract Background Among community-dwelling older adults, frailty is highly prevalent and recognized as a major public health concern. To prevent frailty it is important to identify those at risk of becoming frail, but at present, no accepted screening procedure is available. Methods The screening process developed as part of the PERSSILAA project is a two-step screening pathway. First, older adults are asked to complete a self-screening questionnaire to assess their general health status and their level of decline on physical, cognitive and nutritional domains. Second, older adults who, according to step one, are at risk of becoming frail, are invited for a face-to-face assessment focusing on the domains in depth. We deployed the PERSSILAA screening procedure in primary care in the Netherlands. Results In total, baseline data were available for 3777 community-dwelling older adults (mean age 69.9 (SD ± 3.8)) who completed first step screening. Based on predefined cut-off scores, 16.8% of the sample were classified as frail (n = 634), 20.6% as pre-frail (n = 777), and 62.3% as robust (n = 2353). Frail subjects were referred back to their GP without going through the second step. Of the pre-frail older adults, 69.7% had evidence of functional decline on the physical domain, 67% were overweight or obese and 31.0% had evidence of cognitive decline. Conclusion Pre-frailty is common among community-dwelling older adults. The PERSSILAA screening approach is a multi-factor, two-step screening process, potentially useful for primary prevention to identify those at risk of frailty and who will benefit most from preventive strategies

Rest rust! physical active for active and healthy ageing

The aim of this paper is to give an insight on how physical activity can be defined, parameterized and measured in older adults and on different options to deal with citizen physical activity promotion at European level. Three relevant aspects are highlighted: 1. When talking about physical activity, two different aspects are often unfairly mixed up: “physical activity” and “physical capacity”. • Physical activity, is referred to as the level of physical activity someone is actually performing in daily life. • Physical capacity is referred to as the maximum physical activity a person can perform. 2. Both physical activity and physical capacity can be expressed in different dimensions such as time, frequency, or type of activity with the consequence that there are many tools and techniques available. In order to support people to choose an appropriate instrument in their everyday practice a list of 9 criteria that are considered important is defined. 3. Older adults score differently across the various physical dimensions, so strategies to promote physical activity should consider individual differences, in order to adapt for these variations

INLIFE - independent living support functions for the elderly : technology and pilot overview

In this paper, we present the European H2020 project INLIFE (INdependent LIving support Functions for the Elderly). The project brought together 20 partners from nine countries with the goal of integrating into a common ICT platform a range of technologies intended to assist community-dwelling older people with cognitive impairment. The majority of technologies existed prior to INLIFE and a key goal was to bring them together in one place along with a number of new applications to provide a comprehensive set of services. The range of INLIFE services fell into four broad areas: Independent Living Support, Travel Support, Socialization and Communication Support and Caregiver Support. These included security applications, services to facilitate interactions with formal and informal caregivers, multilingual conversation support, web-based physical exercises, teleconsultations, and support for transport navigation. In total, over 2900 people participated in the project; they included elderly adults with cognitive impairment, informal caregivers, healthcare professionals, and other stakeholders. The aim of the study was to assess whether there was improvement/stabilization of cognitive/emotional/physical functioning, as well as overall well-being and quality of life of those using the INLIFE services, and to assess user acceptance of the platform and individual services. The results confirm there is a huge interest and appetite for technological services to support older adults living with cognitive impairment in the community. Different services attracted different amounts of use and evaluation with some proving extremely popular while others less so. The findings provide useful information on the ways in which older adults and their families, health and social care services and other stakeholders wish to access technological services, what sort of services they are seeking, what sort of support they need to access services, and how these services might be funded

Patient acceptance of a telemedicine service for rehabilitation care: A focus group study

Background and purpose: Despite positive outcomes, widespread implementation of telemedicine services in rehabilitation care is lacking. This could, for a large part, be attributed to a lack of end-user acceptance. The aim of this article is to look beyond the common theoretical approaches towards end-user acceptance (like the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology), and to explore the factors that contribute to or hinder the acceptance of a telemedicine service for rehabilitation care by patients with a chronic disease. Methods: A qualitative, exploratory focus group approach was applied. We involved 188 patients in 22 focus groups. A guide was developed to provoke a discussion among participants of a rehabilitation clinic on the topic of using an online portal with a wide range of telemedicine features (e.g., an exercise module and a teleconference module). Three coders, using thematic analysis, coded the focus group transcripts simultaneously. Results: The focus groups resulted in a wide range of factors that drive or hinder patient acceptance. Facilitators included the possibility to exercise from the comfort of home, the ability to work on one's recovery, irrespective of the time schedule of care professionals, and improved quality of exercise instruction, due to the provision of exercise videos on the portal. Barriers included a lack of intrinsically motivation, experiencing portal-mediated communication with care professionals as ‘impersonal’, and the lack of physical space and rest to properly exercise at home. Generally speaking, participants were enthusiastic about the idea to provide the telemedicine service as a follow-up treatment as they liked to be in contact with their therapist and to continue training. Conclusion: Acceptance of telemedicine services depends on many factors that are not part of well-established theories that explain technology acceptance. These factors are more specific than general determinants, such as ease of use and usefulness, and focus mainly on contextual factors, such as a fit between the service configuration and daily life, personal motivation and the associated psychological burden

User Experience, Actual Use, and Effectiveness of an Information Communication Technology-Supported Home Exercise Program for Pre-Frail Older Adults

ObjectiveThe main objective of this study was to investigate the use and user experience of an Information Communication Technology-supported home exercise program when offered for independent use to pre-frail older adults. Our secondary aim was to explore whether the program improved quality of life and health status compared to a control group.MethodsA cohort multiple randomized controlled trail is being performed. Physically pre-frail older adults (65–75 years) living independently at home were included and randomly assigned to a control group or an intervention group. The intervention group received a home exercise program (strength, balance, and flexibility exercises) for a minimal duration of 12 weeks. The control group received usual care. Primary outcomes were: use of the intervention (frequency and duration), adherence to a 3-day exercise protocol and user experience [System Usability Scale (SUS); rating 1–10]. Secondary outcomes were quality of life measured with the SF12 (Physical Component Scale and Mental Component Scale) and health status (EQ-5D), assessed before the study starts and after 12 weeks of exercising.ResultsThirty-seven independently living older adults participated in the study. Sixteen participants were allocated to the intervention group and 21 to the control group. The average score on the SUS was 84.2 (±13.3), almost reaching an excellent score. Participants rated the intervention with an 8.5. Eighty percent of the participants finished the 12 week exercise protocol. The adherence to the 3-day exercise protocol was 68%. Participants in the intervention group trained on average 2.2 times (±1.3) each week. The mean duration of login for each exercise session was 24 min. The Mental Component Scale of the SF12 was significantly higher in the intervention group compared to the control group. A trend was seen in the change over time in the health status between groups.ConclusionsThis study provides evidence that a home-based exercise program is easy to use and has potential in improving quality of life and health status of pre-frail older adults who live at home. However, further refinement of the program is required to improve adherence and maximize the benefits and potential of exercising in the home environment.Trial RegistrationUnique Identifier: NTR5304. URL: http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5304

Promoting daily physical activity by means of mobile gaming: a review of the state of the art

Objectives:\ud To review mobile games and gaming applications that claim to improve physical activity behavior in daily life.\ud \ud Search Methods:\ud We searched PubMed, Web of Science, and the ACM Digital Library and performed a manual search of relevant journals and reference lists. Studies that reported on a mobile game that requires players to perform physical activity in daily life and where the game has specific goals, rules, and feedback mechanisms were included. This excludes non-mobile exergames. Theoretical foundations, game characteristics, and evaluation methodologies were assessed.\ud \ud Results:\ud In total, 797 articles were identified through the search, of which 11 articles were included. The reviewed studies show that there is limited theoretical foundation for the game development, and most studies used goal setting as a motivation strategy to engage people in playing the game. There was a large variety in game characteristics found, although the majority of the studies used metaphors or avatars to visualize activity, whereas feedback was mostly provided in relation to the goal. Rewards and competition were the most commonly incorporated game elements. The evaluations were focused on feasibility, and clinical evidence is lacking with only two randomized controlled studies found.\ud \ud Conclusions:\ud This review provides a first overview of mobile gaming applications to promote daily life physical activity and shows this as a new research area with demonstration of its acceptability and feasibility among the users. Clinical effectiveness and the added value of gaming in changing daily activity behavior have by far not yet been established

Designing a stakeholder-inclusive service model for an eHealth service to support older adults in an active and social life

Background: Service model design is slowly being recognized among eHealth developers as a valuable method for creating durable implementation strategies. Nonetheless, practical guidelines and case-studies that inform the community on how to design a service model for an eHealth innovation are lacking. This study describes the development of a service model for an eHealth service, titled ‘SALSA’, which intends to support older adults with a physically active and socially inclusive lifestyle. Methods: The service model for the SALSA service was developed in eight consecutive rounds, using a mixed-methods approach. First, a stakeholder salience analysis was conducted to identify the most relevant stakeholders. In rounds 2–4, in-depth insights about implementation barriers, facilitators and workflow processes of these stakeholders were gathered. Rounds 5 and 6 were set up to optimize the service model and receive feedback from stakeholders. In rounds 7 and 8, we focused on future implementation and integrating the service model with the technical components of the eHealth service. Results: While the initial goal was to create one digital platform for the eHealth service, the results of the service modelling showed how the needs of two important stakeholders, physiotherapists and sports trainers, were too different for integrating them in one platform. Therefore, the decision was made to create two platforms, one for preventive (senior sports activities) and one for curative (physical rehabilitation) purposes. Conclusions: A service model shows the interplay between service model design, technical development and business modelling. The process of service modelling helps to align the interests of the different stakeholders to create support for future implementation of an eHealth service. This study provides clear documentation on how to conduct service model design processes which can enable future learning and kickstart new research. Our results show the potential that service model design has for service development and innovation in health care

Usability of a New eHealth Monitoring Technology That Reflects Health Care Needs for Older Adults with Cognitive Impairments and Their Informal and Formal Caregivers

The aim of this study was to evaluate an eHealth monitoring application (HELMA) that provides insight in the health status of older adults with cognitive impairments (CI) independently living at home and their caregivers. A mixed-method approach was used to collect data on Usability (System Usability Scale) and Actual Use (Log data). Besides, a subgroup of participants were randomly selected and interviewed about their experiences with HELMA (Ease of Use, Perceived Usefulness, Behavioural Intention to Use and Attitude). Fifty-four older adults, fifteen formal and fourteen informal caregivers participated in this study. Results showed that HELMA is a useful supplement in the current care for older adults with cognitive impairments. The average SUS score of HELMA of formal caregivers indicated “good” usability. The questions of HELMA are clear. However, older adults lacked digital skills to use HELMA by themselves. Most of the participants (80%) used HELMA according to protocol, for a minimum of 4 weeks. The attitude towards willingness to learn and to use a technology were negative for almost all older adults. More attention to different implementation strategies is needed to increase the eHealth literacy of older adults with CI, to improve independent use of HELMA in the futur

User Experience, Actual Use, and Effectiveness of an Information Communication Technology-Supported Home Exercise Program for Pre-Frail Older Adults

Objective: The main objective of this study was to investigate the use and user experience of an Information Communication Technology-supported home exercise program when offered for independent use to pre-frail older adults. Our secondary aim was to explore whether the program improved quality of life and health status compared to a control group. Methods: A cohort multiple randomized controlled trail is being performed. Physically pre-frail older adults (65–75 years) living independently at home were included and randomly assigned to a control group or an intervention group. The intervention group received a home exercise program (strength, balance, and flexibility exercises) for a minimal duration of 12 weeks. The control group received usual care. Primary outcomes were: use of the intervention (frequency and duration), adherence to a 3-day exercise protocol and user experience [System Usability Scale (SUS); rating 1–10]. Secondary outcomes were quality of life measured with the SF12 (Physical Component Scale and Mental Component Scale) and health status (EQ-5D), assessed before the study starts and after 12 weeks of exercising. Results: Thirty-seven independently living older adults participated in the study. Sixteen participants were allocated to the intervention group and 21 to the control group. The average score on the SUS was 84.2 (±13.3), almost reaching an excellent score. Participants rated the intervention with an 8.5. Eighty percent of the participants finished the 12 week exercise protocol. The adherence to the 3-day exercise protocol was 68%. Participants in the intervention group trained on average 2.2 times (±1.3) each week. The mean duration of login for each exercise session was 24 min. The Mental Component Scale of the SF12 was significantly higher in the intervention group compared to the control group. A trend was seen in the change over time in the health status between groups. Conclusions: This study provides evidence that a home-based exercise program is easy to use and has potential in improving quality of life and health status of pre-frail older adults who live at home. However, further refinement of the program is required to improve adherence and maximize the benefits and potential of exercising in the home environment

The effectiveness of exercise-based telemedicine on pain, physical activity and quality of life in the treatment of chronic pain: A systematic review

Introduction The aim of this study was to systematically review the evidence on the effectiveness of exercise-based telemedicine in chronic pain. Methods We searched the Cochrane, PubMed, MEDLINE, EMBASE, CINAHL and PEDRO databases from 2000 to 2015 for randomised controlled trials, comparing exercise-based telemedicine intervention to no intervention or usual care in adults with chronic pain. Primary outcome data were pooled using random effect meta-analysis. Primary outcomes were pain, physical activity (PA), limitations in activities of daily living (ADL) and quality of life (QoL). Secondary outcomes were barriers, facilitators and usability of telemedicine. Results Sixteen studies were included. Meta-analyses were performed in three subgroups of studies with comparable control conditions. Telemedicine versus no intervention showed significantly lower pain scores (MD -0.57, 95% CI -0.81; -0.34), but not for telemedicine versus usual care (MD -0.08, 95% CI -0.41; 0.26) or in addition to usual care (MD -0.25, 95% CI -1.50; 1.00). Telemedicine compared to no intervention showed non-significant effects for PA (MD 19.93 min/week, 95% CI -5.20; 45.06) and significantly diminished ADL limitations (SMD -0.20, 95% CI -0.29; -0.12). No differences were found for telemedicine in addition to usual care for PA or for ADL (SMD 0.16, 95% CI -0.66; 0.34). Telemedicine versus usual care showed no differences for ADL (SMD 0.08, 95% CI -0.37; 0.53). No differences were found for telemedicine compared to the three control groups for QoL. Limited information was found on the secondary outcomes. Conclusions Exercise-based telemedicine interventions do not seem to have added value to usual care. As substitution of usual care, telemedicine might be applicable but due to limited quality of the evidence, further exploration is needed for the rapidly developing field of telemedicin