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Purpose To identify possible technological solutions that can contribute to stroke patients' participation at home. Methods In this qualitative case study, data on factors that negatively influenced participation at home were collected via semi-structured interviews with stroke patients (n = 6). Additionally, data on possible technologies to improve this participation were collected via a group interview with experts (n = 4). The domains "cognition, mobility, self-care, and getting along" (International Classification of Functioning, Disability and Health) guided the data collection and interpretation; open, axial and selective coding was part of the analysis. Results Patients reported 21 factors negatively influencing participation at home, including psychological, cognitive, and physical factors. Experts suggested technological solutions regarding these factors to increase participation of stroke patients; digital assistants, apps, and virtual reality were frequently mentioned. To facilitate the use of these technologies, experts indicated the importance of involving patients in their design. They also suggested that rehabilitation specialists and family members could support the uptake and use of technologies. Conclusions Various technologies were identified by experts as having the potential to improve the participation of stroke patients in their homes. Future research may study the influence of these technologies on the actual participation of stroke patients at home.Implications for rehabilitationThe identified technological solutions can support rehabilitation specialists in guiding stroke patients towards technologies that can support a patient's participation at home.Rehabilitation specialists can be champions in introducing, recommending and promoting technologies to stroke patients and their families, as well as in training them to use technologies.Virtual reality as a technology can be part of rehabilitation, not only to train stroke patients in daily life activities but also to increase empathy and understanding in caregivers and carers on stroke impairments.Rehabilitation specialists can recommend technologies integrated in daily life and presented as general consumer goods; stroke patients are more likely to adopt these kind of technologies.

Introduction: Co-creative methods, having an iterative character and including different perspectives, allow for the development of complex nursing interventions. Information about the development process is essential in providing justification for the ultimate intervention and crucial in interpreting the outcomes of subsequent evaluations. This paper describes a co-creative method directed towards the development of an eHealth intervention delivered by registered nurses to support self-management in outpatients with cancer pain.Methods: Intervention development was divided into three consecutive phases (exploration of context, specification of content, organisation of care). In each phase, researchers and technicians addressed five iterative steps: research, ideas, prototyping, evaluation, and documentation. Health professionals and patients were consulted during research and evaluation steps.Results: Collaboration of researchers, health professionals, patients and technicians was positive and valuable in optimising outcomes. The intervention includes a mobile application for patients and a web application for nurses. Patients are requested to monitor pain, adverse effects and medication intake, while being provided with graphical feedback, education and contact possibilities. Nurses monitor data, advise patients, and collaborate with the treating physician.Conclusion: Integration of patient self-management and professional care by means of eHealth key into wellknown barriers and seem promising in improving cancer pain follow-up. Nurses are able to make substantial contributions because of their expertise, focus on daily living, and their bridging function between patients and health professionals in different care settings. Insights from the intervention development as well as the intervention content give thought for applications in different patients and care settings. (C) 2017 Elsevier Inc. All rights reserved.

Background:Electronic health (eHealth) solutions are considered to relieve current and future pressure on the sustainability of primary health care systems. However, evidence of the effectiveness of eHealth in daily practice is missing. Furthermore, eHealth solutions are often not implemented structurally after a pilot phase, even if successful during this phase. Although many studies on barriers and facilitators were published in recent years, eHealth implementation still progresses only slowly. To further unravel the slow implementation process in primary health care and accelerate the implementation of eHealth, a 3-year Living Lab project was set up. In the Living Lab, called eLabEL, patients, health care professionals, small- and medium-sized enterprises (SMEs), and research institutes collaborated to select and integrate fully mature eHealth technologies for implementation in primary health care. Seven primary health care centers, 10 SMEs, and 4 research institutes participated.Objective:This viewpoint paper aims to show the process of adoption of eHealth in primary care from the perspective of different stakeholders in a qualitative way. We provide a real-world view on how such a process occurs, including successes and failures related to the different perspectives.Methods:Reflective and process-based notes from all meetings of the project partners, interview data, and data of focus groups were analyzed systematically using four theoretical models to study the adoption of eHealth in primary care.Results:The results showed that large-scale implementation of eHealth depends on the efforts of and interaction and collaboration among 4 groups of stakeholders: patients, health care professionals, SMEs, and those responsible for health care policy (health care insurers and policy makers). These stakeholders are all acting within their own contexts and with their own values and expectations. We experienced that patients reported expected benefits regarding the use of eHealth for self-management purposes, and health care professionals stressed the potential benefits of eHealth and were interested in using eHealth to distinguish themselves from other care organizations. In addition, eHealth entrepreneurs valued the collaboration among SMEs as they were not big enough to enter the health care market on their own and valued the collaboration with research institutes. Furthermore, health care insurers and policy makers shared the ambition and need for the development and implementation of an integrated eHealth infrastructure.Conclusions:For optimal and sustainable use of eHealth, patients should be actively involved, primary health care professionals need to be reinforced in their management, entrepreneurs should work closely with health care professionals and patients, and the government needs to focus on new health care models stimulating innovations. Only when all these parties act together, starting in local communities with a small range of eHealth tools, the potential of eHealth will be enforced.

Background and Purpose:Decreased grip strength is a predictor of adverse outcomes in older adults. A Grip-ball was developed that can be used for home-based self-monitoring of grip strength to detect decline at an early stage. The purpose of this study was to evaluate the reliability and validity of measurements obtained with the Grip-ball in older adults.Methods:Forty nursing home patients and 59 community-dwelling older adults 60 years or older were invited to participate in this study. Grip strength in both hands was measured 3 consecutive times during a single visit using the Grip-ball and the Jamar dynamometer. Test-retest reliability was described using intraclass correlation coefficients. Concurrent validity was evaluated by calculating Pearson correlations between the mean Grip-ball and Jamar dynamometer measurements and between the highest measurements out of 3 trials. Known-groups validity was studied using t tests.Results:Eighty eight participants (33 men) with a mean age of 75 (SD = 6.8) years were included. Intraclass correlation coefficients for the Grip-ball were 0.97 and 0.96 for the left and right hands, respectively (P Conclusions:The Grip-ball provides reliable grip strength estimates in older adults. Correlations found between the Grip-ball and Jamar dynamometer measurements suggest acceptable concurrent validity. The Grip-ball seems capable of detecting "larger" grip strength differences but might have difficulty detecting "smaller" differences that were detected by the Jamar dynamometer. The Grip-ball could be used in practice to enable home-based self-monitoring of grip strength in older adults. However, for implementation of the Grip-ball as a screening and monitoring device in practice, it is important to gain insight into intersession reliability during home-based use of the Grip-ball and clinical relevance of changes in grip strength.

BACKGROUND Electronic health (eHealth) solutions are considered to relieve current and future pressure on the sustainability of primary health care systems. However, evidence of the effectiveness of eHealth in daily practice is missing. Furthermore, eHealth solutions are often not implemented structurally after a pilot phase, even if successful during this phase. Although many studies on barriers and facilitators were published in recent years, eHealth implementation still progresses only slowly. To further unravel the slow implementation process in primary health care and accelerate the implementation of eHealth, a 3-year Living Lab project was set up. In the Living Lab, called eLabEL, patients, health care professionals, small- and medium-sized enterprises (SMEs), and research institutes collaborated to select and integrate fully mature eHealth technologies for implementation in primary health care. Seven primary health care centers, 10 SMEs, and 4 research institutes participated. OBJECTIVE This viewpoint paper aims to show the process of adoption of eHealth in primary care from the perspective of different stakeholders in a qualitative way. We provide a real-world view on how such a process occurs, including successes and failures related to the different perspectives. METHODS Reflective and process-based notes from all meetings of the project partners, interview data, and data of focus groups were analyzed systematically using four theoretical models to study the adoption of eHealth in primary care. RESULTS The results showed that large-scale implementation of eHealth depends on the efforts of and interaction and collaboration among 4 groups of stakeholders: patients, health care professionals, SMEs, and those responsible for health care policy (health care insurers and policy makers). These stakeholders are all acting within their own contexts and with their own values and expectations. We experienced that patients reported expected benefits regarding the use of eHealth for self-management purposes, and health care professionals stressed the potential benefits of eHealth and were interested in using eHealth to distinguish themselves from other care organizations. In addition, eHealth entrepreneurs valued the collaboration among SMEs as they were not big enough to enter the health care market on their own and valued the collaboration with research institutes. Furthermore, health care insurers and policy makers shared the ambition and need for the development and implementation of an integrated eHealth infrastructure. CONCLUSIONS For optimal and sustainable use of eHealth, patients should be actively involved, primary health care professionals need to be reinforced in their management, entrepreneurs should work closely with health care professionals and patients, and the government needs to focus on new health care models stimulating innovations. Only when all these parties act together, starting in local communities with a small range of eHealth tools, the potential of eHealth will be enforced.

The accelerometers implanted into smart phones can be used as a self monitoring device for daily physical activity in elderly population. The study goal is to validate the smart phone-based activity monitoring application in adults aged below and above 65 years old. Ten young adults (mean of 33, SD 13.7) and ten elderly (mean 76, SD 5.5) were asked to monitor their daily physical activity with a smart phone and an ActiGraph GT3X for 7 consecutive days. Each minute of activity for both devices was classified as one of four different levels: sedentary, light, moderate and high. Minutes count from each activity level between both devices was compared using spearman correlations for each group of adults separately. Analysis of Pearson's correlation and paired t-tests between both devices was applied for separately for two groups. Spearman correlations in adults aged below 65 years varied between .62 and .89 and correlations in adults aged above 65 years varied between .73 and .98. Pearson's correlations between the two devices for minutes spent in every activity level per day and per participant were found high ranged .79–.98. Paired t-tests showed an underestimation for the count of minutes spent in sedentary activity level in elderly and adults participants detected from the smart phone with 6.45% and 6.78% respectively.

April BCG Boessen,1 Joan Vermeulen,2 Luc P de Witte3 1Research Centre for Technology in Care, Faculty of Health, Zuyd University of Applied Sciences, Heerlen, the Netherlands; 2Lunet zorg, Eindhoven, the Netherlands; 3The Innovation Centre, The University of Sheffield, Sheffield, UK Background: Large-scale cohort studies are needed to confirm the relation between dementia and its possible risk factors. The inclusion of people with dementia in research is a challenge, however, children of people with dementia are at risk and are highly motivated to participate in dementia research. For technologies to support home-based data collection during large-scale studies, participants should be able and willing to use technology for a longer period of time. Objective: This study investigated acceptance and usability of iVitality, a research platform for home-based monitoring of dementia health indicators, in 151 children of people with dementia and investigated which frequency of measurements is acceptable for them. Methods: Participants were randomized to fortnightly or monthly measurements. At baseline and after 3 months, participants completed an online questionnaire regarding the acceptance (Technology Acceptance Model; 38 items) and usability (Post-Study System Usability Questionnaire; 24 items) of iVitality. Items were rated from 1 (I totally disagree) to 7 (I totally agree). Participants were also invited to take part in an online focus group (OFG) after 3 months of follow-up. Descriptive statistics and both two-sample/independent and paired t-tests were used to analyze the online questionnaires and a directed content analysis was used to analyze the OFGs. Results: Children of people with dementia accept iVitality after long-term use and evaluate iVitality as a user-friendly, useful, and trusted technology, despite some suggestions for improvement. Overall, mean scores on acceptance and usability were higher than 5 (I somewhat agree), although the acceptance subscales “social influence” and “time” were rated somewhat lower. No significant differences in acceptance and usability were found between both protocol groups. Over time, “affect” significantly increased among participants measuring blood pressure fortnightly. Conclusion: iVitality has the potential to be used in large-scale studies for home-based monitoring of health indicators related to the development of dementia. Keywords: dementia, risk factors, e-health, telemonitoring, acceptance, usability

BackgroundUser-centered design (UCD) methodologies can help take the needs and requirements of potential end-users into account during the development of innovative telecare products and services. Understanding how members of multidisciplinary development teams experience the UCD process might help to gain insight into factors that members with different backgrounds consider critical during the development of telecare products and services. ObjectiveThe primary objective of this study was to explore how members of multidisciplinary development teams experienced the UCD process of telecare products and services. The secondary objective was to identify differences and similarities in the barriers and facilitators they experienced. MethodsTwenty-five members of multidisciplinary development teams of four Research and Development (R&D) projects participated in this study. The R&D projects aimed to develop telecare products and services that can support self-management in elderly people or patients with chronic conditions. Seven participants were representatives of end-users (elderly persons or patients with chronic conditions), three were professional end-users (geriatrician and nurses), five were engineers, four were managers (of R&D companies or engineering teams), and six were researchers. All participants were interviewed by a researcher who was not part of their own development team. The following topics were discussed during the interviews: (1) aim of the project, (2) role of the participant, (3) experiences during the development process, (4) points of improvement, and (5) what the project meant to the participant. ResultsExperiences of participants related to the following themes: (1) creating a development team, (2) expectations regarding responsibilities and roles, (3) translating user requirements into technical requirements, (4) technical challenges, (5) evaluation of developed products and services, and (6) valorization. Multidisciplinary team members from different backgrounds often reported similar experienced barriers (eg, different members of the development team speak a “different language”) and facilitators (eg, team members should voice expectations at the start of the project to prevent miscommunication at a later stage). However, some experienced barriers and facilitators were reported only by certain groups of participants. For example, only managers reported the experience that having different ideas about what a good business case is within one development team was a barrier, whereas only end-users emphasized the facilitating role of project management in end-user participation and the importance of continuous feedback from researchers on input of end-users. ConclusionsMany similarities seem to exist between the experienced barriers and facilitators of members of multidisciplinary development teams during UCD of telecare products and services. However, differences in experiences between team members from various backgrounds exist as well. Insights into these similarities and differences can improve understanding between team members from different backgrounds, which can optimize collaboration during the development of telecare products and services.

Objective: To investigate the predictive value of self-reported decline in weight, exhaustion, walking difficulty, grip strength and physical activity on development of disabilities in community-dwelling elderly people. Design: A one-year follow-up study. Setting: Participants were recruited via four Dutch general practitioners. Participants: Community-dwelling elderly people aged 70 years or older. Methods: A total of 687 participants received a questionnaire at baseline regarding weight loss, exhaustion, walking difficulty, grip strength, physical activity and disability. The same questionnaire was sent to them after one year follow-up. Disability was operationalized in two ways: as increased dependence and as increased difficulty in daily activities. Univariate and multivariate logistic regression analyses were used to determine whether self-reported decline in five physical indicators at baseline predicted development of dependence or increased difficulty in daily activities after one year. The analyses were controlled for age, gender and baseline disability. Results: Four hundred and one participants with a mean age of 76.9 years (SD 5.2) were included in the analyses. Eighty-four of them reported increased dependence (21%) and 76 reported increased difficulty (19%) in daily activities at one-year follow-up. All physical indicators, except weight loss, were significant univariate predictors of disability. Multivariate analyses revealed that self-reported decrease in physical activity (e.g. walking, cycling, gardening) was a significant predictor of development of dependence (odds ratio (OR) = 1.89, 95% confidence interval (CI) = 1.02–3.51) and development of difficulty (OR = 1.98, 95% CI = 1.05–3.71) in daily activities. Conclusion: Community-dwelling elderly people who report decreased physical activity have a higher risk to develop disability at one-year follow-up.

Background Self-management is considered as an essential component of chronic care by primary care professionals. eHealth is expected to play an important role in supporting patients in their self-management. For effective implementation of eHealth it is important to investigate patients’ expectations and needs regarding self-management and eHealth. The objectives of this study are to investigate expectations and needs of people with a chronic condition regarding self-management and eHealth for self-management purposes, their willingness to use eHealth, and possible differences between patient groups regarding these topics. Methods Five focus groups with people with diabetes (n = 14), COPD (n = 9), and a cardiovascular condition (n = 7) were conducted in this qualitative research. Separate focus groups were organized based on patients’ chronic condition. The following themes were discussed: 1) the impact of the chronic disease on patients’ daily life; 2) their opinions and needs regarding self-management; and 3) their expectations and needs regarding, and willingness to use, eHealth for self-management purposes. A conventional content analysis approach was used for coding. Results Patient groups seem to differ in expectations and needs regarding self-management and eHealth for self-management purposes. People with diabetes reported most needs and benefits regarding self-management and were most willing to use eHealth, followed by the COPD group. People with a cardiovascular condition mentioned having fewer needs for self-management support, because their disease had little impact on their life. In all patient groups it was reported that the patient, not the care professional, should choose whether or not to use eHealth. Moreover, participants reported that eHealth should not replace, but complement personal care. Many participants reported expecting feelings of anxiety by doing measurement themselves and uncertainty about follow-up of deviant data of measurements. In addition, many participants worried about the implementation of eHealth being a consequence of budget cuts in care. Conclusion This study suggests that aspects of eHealth, and the way in which it should be implemented, should be tailored to the patient. Patients’ expected benefits of using eHealth to support self-management and their perceived controllability over their disease seem to play an important role in patients’ willingness to use eHealth for self-management purposes. Electronic supplementary material The online version of this article (doi:10.1186/s12913-016-1484-5) contains supplementary material, which is available to authorized users.

A revision is presented of a mainly New Guinean group of species of the genus Bulbophyllum (Or- chidaceae) that is generally known as section Hymenobractea. Altogether 7 named taxa have been attributed to this section by previous authors; in this revision only two species are distinguished: Bulbophyllum aemulum and Bulbophyllum infundibuliforme. It appears that Hymenobractea cannot be distinguished from Bulbophyllum sect. Intervallatae (including sect. Dialeipanthe and sect. Lepidorhiza), therefore these two species are included in sect. Intervallatae. A key to the sections morphologically similar to Intervallatae, viz. Leopardinae, Sestochilos and Stenochilus, is included and full information on the two species provided.

Mara van Osch,1 AJM Rövekamp,2 Stephanie N Bergman-Agteres,1 Liselotte W Wijsman,3,4 Sharon J Ooms,5 Simon P Mooijaart,3,4,6 Joan Vermeulen71Netherlands Institute for Health Services Research, Utrecht, 2Netherlands Organization for Applied Scientific Research, 3Department of Gerontology and Geriatrics, Leiden University Medical Centre, 4Netherlands Consortium for Healthy Ageing, Leiden, 5Department of Geriatric Medicine, Radboud Alzheimer Centre, Radboud University Nijmegen Medical Centre, Nijmegen, 6Institute for Evidence-Based Medicine in Old Age, Leiden, 7Research School, CAPHRI, Maastricht University, Maastricht, the NetherlandsBackground: The iVitality online research platform has been developed to gain insight into the relationship between early risk factors (ie, poorly controlled hypertension, physical or mental inactivity) and onset and possibly prevention of dementia. iVitality consists of a website, a smartphone application, and sensors that can monitor these indicators at home. Before iVitality can be implemented, it should fit the needs and preferences of users, ie, offspring of patients with dementia. This study aimed to explore users’ motivation to participate in home-based health monitoring research, to formulate requirements based on users’ preferences to optimize iVitality, and to test usability of the smartphone application of iVitality.Methods: We recruited 13 participants (aged 42–64 years, 85% female), who were offspring of patients with dementia. A user-centered methodology consisting of four iterative phases was used. Three semistructured interviews provided insight into motivation and acceptance of using iVitality (phase 1). A focus group with six participants elaborated on expectations and preferences regarding iVitality (phase 2). Findings from phase 1 and 2 were triangulated by two semistructured interviews (phase 3). Four participants assessed the usability of the smartphone application (phase 4) using a think aloud procedure and a questionnaire measuring ease and efficiency of use (scale 1–7; higher scores indicated better usability).Results: All participants were highly motivated to contribute to dementia research. However, the frequency of home-based health monitoring should not be too high. Participants preferred to receive feedback about their measurements and information regarding the relationship between these measurements and dementia. Despite minor technical errors, iVitality was considered easy and efficient to use (mean score 5.50, standard deviation 1.71).Conclusion: Offspring of patients with dementia are motivated to contribute to home-based monitoring research by using iVitality and are able to use the smartphone application. The formulated requirements will be embedded to optimize iVitality.Keywords: e-health, m-health, technology, patient preferences, dementia, self-monitoring, usability

Background: There are indications that older adults who suffer from poor balance have an increased risk for adverse health outcomes, such as falls and disability. Monitoring the development of balance over time enables early detection of balance decline, which can identify older adults who could benefit from interventions aimed at prevention of these adverse outcomes. An innovative and easy-to-use device that can be used by older adults for home-based monitoring of balance is a modified bathroom scale. Objective: The objective of this paper is to study the relationship between balance scores obtained with a modified bathroom scale and falls and disability in a sample of older adults. Methods: For this 6-month follow-up study, participants were recruited via physiotherapists working in a nursing home, geriatricians, exercise classes, and at an event about health for older adults. Inclusion criteria were being aged 65 years or older, being able to stand on a bathroom scale independently, and able to provide informed consent. A total of 41 nursing home patients and 139 community-dwelling older adults stepped onto the modified bathroom scale three consecutive times at baseline to measure their balance. Their mean balance scores on a scale from 0 to 16 were calculated—higher scores indicated better balance. Questionnaires were used to study falls and disability at baseline and after 6 months of follow-up. The cross-sectional relationship between balance and falls and disability at baseline was studied using t tests and Spearman rank correlations. Univariate and multivariate logistic regression analyses were conducted to study the relationship between balance measured at baseline and falls and disability development after 6 months of follow-up. Results: A total of 128 participants with complete datasets—25.8% (33/128) male—and a mean age of 75.33 years (SD 6.26) were included in the analyses of this study. Balance scores of participants who reported at baseline that they had fallen at least once in the past 6 months were lower compared to nonfallers—8.9 and 11.2, respectively ( P

Background: The Netherlands is one of the frontrunners of eHealth in Europe. Many general practices offer Internet services, which can be used by patients to communicate with their general practice. In promoting and implementing such services, it is important to gain insight into patients’ actual use and intention toward using.Objective: The objective of the study is to investigate the actual use and intention toward using Internet services to communicate with the general practice by the general practice population. The secondary objective is to study the factors and characteristics that influence their intention to use such services.Methods: There were 1500 members of the Dutch Health Care Consumer Panel, age over 18 years, that were invited to participate in this cross-sectional study. People who had contacted their general practitioner at least once in the past year were included. Participants were asked to fill out a questionnaire about the following services: Internet appointment planning, asking questions on the Internet, email reminders about appointments, Internet prescription refill requests, Internet access to medical data, and Internet video consultation. Participants indicated whether they had used these services in the past year, they would like to use them, and whether they thought their general practice had these services. For the first two services, participants rated items based on the unified theory of acceptance and use of technology complemented with additional constructs. These items were divided into six subscales: effort expectancy, performance expectancy, trust, attitude, facilitating conditions, and social influence.Results: There were 546 participants that were included in the analyses out of 593 who met the inclusion criteria. The participants had a mean age of 53 years (SD 15.4), 43.6% (n=238) were male, and 66.8% (n=365) had at least one chronic illness. Actual use of the services varied between 0% (n=0, video consultation) and 10.4% (n=57, requesting prescription refill by Internet). The proportion of participants with a positive intention to use the service varied between 14.7% (n=80, video consultation) and 48.7% (n=266, Internet access to medical data). For each service, approximately half indicated that they did not know whether the service was available. Univariate logistic regression analyses revealed that all the constructs as well as age, level of education, and Internet usage had a significant association with intention toward using Internet appointment planning and asking questions by Internet.Conclusions: Internet communication services to contact the general practice are not yet frequently used by this population. Although a substantial number of persons have a positive intention toward using such services, not all people who receive primary care seem willing to use them. The lack of awareness of the availability and functionality of such services might play an important role.

The objective of this study was to evaluate the sensitivity and specificity of a smartphone-based fall detection application when different smartphone models are worn on a belt or in a trouser pocket. Eight healthy adults aged between 18 and 24 years old simulated 10 different types of true falls, 5 different types of falls with recovery, and 11 daily activities, five consecutive times. Participants wore one smartphone in a pocket that was attached to their belt and another one in their trouser pocket. All smartphones were equipped with a built-in accelerometer and the fall detection application. Four participants tested the application on a Samsung S3 and four tested the application on a Samsung S3 mini. Sensitivity scores were .75 (Samsung S3 belt), .88 (Samsung S3 mini trouser pocket), and .90 (Samsung S3 mini belt/Samsung S3 trouser pocket). Specificity scores were .87 (Samsung S3 trouser pocket), .91 (Samsung S3 mini trouser pocket), .97 (Samsung S3 belt), and .99 (Samsun g S3 mini belt). These results suggest that an application on a smartphone can generate valid fall alarms when worn on a belt or in a trouser pocket. However, sensitivity should be improved before implementation of the application in practice.

International audience; Frailty is of increasing concern due to the associated decrease in independence of elderly who suffer from the condition. An innovative system was designed in order to objectively quantify the level of frailty based on a series of remote tests, each of which used objects similar to those found in peoples' homes. A modified ball, known as the Grip-ball was used to evaluate maximal grip force and exhaustion during an entirely remote assessment. A smartphone equipped with a tri-axial accelerometer was used to estimate gait velocity and physical activity level. Finally, a bathroom scale was used to assess involuntary weight loss. The smart phone processes all of the data generated, before it is transferred to a remote server where the user, their entourage, and any medical professionals with authorization can access the data. This innovative system could enable the onset of frailty to be detected early, thus giving sufficient time for a targeted intervention program to be implemented, thereby increasing independence for elderly users.

Objectives To investigate the construct validity of a bathroom scale measuring balance in elderly people. Design Cross-sectional study. Setting Participants were recruited via nursing homes and an organization that provides exercise classes for community-dwelling elderly people. Participants Nursing home patients were compared with active community-dwelling elderly people. Eligibility criteria for both groups were: aged 65 years or older and being able to step onto a bathroom scale independently. Measurements The balance measurement of the bathroom scale was compared with the following three clinical balance measurements: Performance Oriented Mobility Assessment (POMA), Timed Up and Go (TUG), and Four Test Balance Scale (FTBS). An independent samples t -test was performed to determine whether nursing home patients scored lower on these four balance tests compared with community-dwelling elderly people. Correlations were calculated between the bathroom scale balance scores and those of the clinical balance tests for nursing home patients and community-dwelling elderly people separately. Results Forty-seven nursing home patients with a mean age of 81 years (SD 6.40) and 54 community-dwelling elderly people with a mean age of 76 years (SD 5.06) participated in the study. The results showed that nursing home patients had significantly lower scores on all four balance tests compared with community-dwelling elderly people. Correlations between the bathroom scale scores and the POMA, TUG, and FTBS in nursing home patients were all significant: .49, –.60, and .63, respectively. These correlations were not significant in active community-dwelling elderly people, –.04, –.42, and .33, respectively. Linear regression analyses showed that the correlations for the bathroom scale and POMA, bathroom scale and TUG, and bathroom scale and FTBS did not differ statistically between nursing home patients and community-dwelling elderly people. Conclusion These results suggest that the modified bathroom scale is useful for measuring balance in elderly people. However, the added value of this assessment method for clinical practice remains to be demonstrated.

Background The number of frail elderly people is increasing. Unfortunately, the number of caregivers is not increasing at the same pace, which affects older people, caregivers and healthcare systems. Because of these developments, self-management is becoming more important in healthcare. To support community-dwelling elderly people in their self-management, a system was developed that monitors their physical functioning. This system provides feedback to elderly people and their caregivers regarding physical indicators of frailty. The feedback is provided to elderly people via the screen of a mobile phone. It is important that elderly people understand the content of the feedback and are able to use the mobile phone properly. If not, it is unlikely that the system can support self-management. Many interactive health technologies that have been developed do not fulfil their promises. An important reason for this is that human and other non-technology issues are not sufficiently taken into consideration during the development process. Objective To collaborate with elderly people during the development and evaluation of a feedback system for community-dwelling elderly people regarding physical functioning. Methods An iterative user-centered design that consists of five phases was used to develop and evaluate the feedback system. These five phases were: 1) Selection of users, 2) Analysis of users and their context, 3) Identification of user needs, 4) Development of a prototype, and 5) Evaluation of the prototype. Three representatives of a target group panel for elderly people were selected in phase 1. They shared their needs and preferences during three expert group meetings that took place during the development process. This resulted in the development of a prototype which was first evaluated in a heuristic evaluation. Once adjustments were made, 11 elderly people evaluated the adjusted prototype using a think aloud procedure. They rated the usability and acceptability of the developed interface on a scale from 1 till 7 using an adapted version of the Post-Study System Usability Questionnaire (PSSUQ). Results A feedback system was developed that provides feedback regarding physical indicators of frailty via a touch screen mobile phone. The interface uses colours, smiley’s, and spoken/written messages to provide feedback that is easy to understand. The heuristic evaluation revealed that there were some problems with consistency and the use of user language. The think aloud evaluation showed that the 11 elderly people were able to navigate through the interface without much difficulty despite some small problems related to the lay-out of the interface. The mean score on an adapted version of the PSSUQ was 5.90 (SD 1.09) which indicates high user satisfaction and good usability. Conclusions The involvement of end-users significantly influenced the lay-out of the interface that was developed. This resulted in an interface that was accepted by the target group. Evaluation of the prototype revealed that the usability of the interface was good. The feedback system will only succeed in supporting self-management when elderly people are able to use the interface and understand the feedback. The input of elderly people during the development process contributed to this.

Background Disability in Activities of Daily Living (ADL) is an adverse outcome of frailty that places a burden on frail elderly people, care providers and the care system. Knowing which physical frailty indicators predict ADL disability is useful in identifying elderly people who might benefit from an intervention that prevents disability or increases functioning in daily life. The objective of this study was to systematically review the literature on the predictive value of physical frailty indicators on ADL disability in community-dwelling elderly people. Methods A systematic search was performed in 3 databases (PubMed, CINAHL, EMBASE) from January 1975 until April 2010. Prospective, longitudinal studies that assessed the predictive value of individual physical frailty indicators on ADL disability in community-dwelling elderly people aged 65 years and older were eligible for inclusion. Articles were reviewed by two independent reviewers who also assessed the quality of the included studies. Results After initial screening of 3081 titles, 360 abstracts were scrutinized, leaving 64 full text articles for final review. Eventually, 28 studies were included in the review. The methodological quality of these studies was rated by both reviewers on a scale from 0 to 27. All included studies were of high quality with a mean quality score of 22.5 (SD 1.6). Findings indicated that individual physical frailty indicators, such as weight loss, gait speed, grip strength, physical activity, balance, and lower extremity function are predictors of future ADL disability in community-dwelling elderly people. Conclusions This review shows that physical frailty indicators can predict ADL disability in community-dwelling elderly people. Slow gait speed and low physical activity/exercise seem to be the most powerful predictors followed by weight loss, lower extremity function, balance, muscle strength, and other indicators. These findings should be interpreted with caution because the data of the different studies could not be pooled due to large variations in operationalization of the indicators and ADL disability across the included studies. Nevertheless, our study suggests that monitoring physical frailty indicators in community-dwelling elderly people might be useful to identify elderly people who could benefit from disability prevention programs.

Gawel et al. conducted a review to investigate the ability of the short physical performance battery (SPPB) to predict long term disability or future institutionalization. The authors concluded that the SPPB is a good predictor of long term disability or institutionalization in community-dwelling elderly people in the US aged 65 years and older. The systematic search they conducted was guided by the PRISMA statement to minimize the risk of faulty reporting and to improve the transparency of the review. After the extensive search and selection process, five articles were found eligible for inclusion by both independent reviewers. The reviewers used the Newcastle–Ottowa Scale to rate the quality of these studies to ensure that only studies with high enough quality were included. The above mentioned efforts contributed positively to the methodological quality of the review. Unfortunately, the evidence that Gawel et al. base their conclusions on might be considered rather weak. Three included studies investigated the predictive value of the SPPB on disability and two included studies investigated the predictive value of the SPPB on institutionalization. One of the three studies concerning disability reported an odds ratio that was not significant. Therefore, this study does not support the conclusion of the reviewers. Furthermore, one of the two studies concerning institutionalization included women aged 49–65 years old at baseline. The study had a follow-up of 3 years, meaning that most of the participants had not reached the age of 65 years or older by the end of the study. Therefore, this study also does not support the conclusion of the review. When taking these findings into consideration, only two studies concerning disability and one study concerning institutionalization remain that support the conclusions of the reviewers. These three remaining studies were all conducted by Guralnik et al. and were based on the same cohort study, namely the Established Populations for Epidemiologic Research in the Elderly cohort. So, the conclusions that Gawel et al. draw regarding the predictive value of the SPPB are merely based on the data from one cohort study. Therefore, in our opinion the conclusion that ‘the SPPB is a good predictor of long term disability or institutionalization in community-dwelling elderly people aged 65 years and older living in the US’ could be considered an overestimation of the actual evidence that is reported in the review. Besides that, the two studies by Guralnik et al. regarding disability investigated the predictive value of the SPPB in elderly people who were free of disability at baseline. So, the results of these studies do not necessarily support the conclusion that the SPPB is a predictor of long term disability, but rather provide evidence for the predictive value of the SPPB for the onset of disability. Previous reviews suggest that other indicators might be stronger predictors of disability or institutionalization in community-dwelling elderly people compared to the SPPB. A recent review by Vermeulen et al. revealed that a decrease in individual physical functions predicts the onset and increase of disability in community-dwelling elderly people. The results from this systematic literature review suggest that decreased gait speed, decreased physical activity and weight loss are stronger predictors of disability compared to lower extremity function. A review by Stuck et al. showed that lower extremity function is, among others, a predictor of disability development in elderly people. However, most studies regarding lower extremity function that were included in the two reviews mentioned above used a single performance measure instead of the SPPB to assess lower extremity function. Furthermore, a review by Gaugler et al. about predictors of institutionalization included 77 reports from 12 different cohort studies. A meta-analysis revealed that three or more dependencies in activities of daily living, cognitive impairment, and prior nursing home use were the strongest predictors of nursing home admission. A review by Luppa et al. concluded that strong evidence exists that the following variables are predictors of institutionalization: age, self-rated health status, functional impairment, cognitive impairment, prior nursing home placement, and number of prescriptions. Correspondence to: J Vermeulen, Department of Health Services Research, Faculty of Health Medicine and Life Sciences, Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands. Email: j.vermeulen@maastrichtuniversity.nl Vermeulen and Neyens Commentaries