Promoting physical activity and a healthy active lifestyle in community-dwelling older adults: a design thinking approach for the development of a mobile health application.

Background: Physical activity (PA) has wide-ranging, and well documented benefits for older adults, encompassing physical, cognitive, and mental well-being. The World Health Organization advocates for a minimum of 150-300 min of moderate intensity PA per week, supplemented by muscle-strengthening exercises. However, the rates of PA among older adults remain a concern. While portable technologies hold promises in promoting PA, sustaining long-term engagement continues to be a challenge. Objective: The aims of this study are to identify barriers and facilitators to PA in older adults, to develop an mHealth app promoting PA and an active healthy lifestyle in collaboration with community-dwelling older adults guided by the design thinking process, and to test it. Methods: A co-creative process was used, employing design thinking. Interviews were conducted to understand the needs of the target population and identify the problem of insufficient PA. Two cocreation sessions involving older adults and experts were conducted to generate innovative ideas. Participants were selected based on age (≥65 years), no severe illness, Dutch language proficiency, and active participation ability. Results were qualitatively analyzed and coded. Finally a prototype was developed and tested. Results: Interviews with older adults highlighted diverse perceptions of PA but unanimous agreement on its importance. They recognized health benefits such as improved mobility, balance, and reduced fall risk, while emphasizing the social and mental aspects. Barriers included poor health, time constraints, weather conditions and fear of falling. Cocreation sessions identified key topics: perception of a healthy lifestyle, coping strategies, mHealth App features, screen visualization, and tailored notifications, which led to the development of a mobile app promoting PA and an active lifestyle. The app was stepwise prototyped. Conclusion: This study emphasizes the importance of promoting PA among older adults through a collaborative design thinking approach. However, the implementation of mHealth apps faces obstacles due to the digital divide, necessitating personalized solutions to bridge the gap. Moreover, it calls for further research to investigate the long-term impact of such interventions and explore behavior change patterns in this population.

Smart Nursing: The Use of Technology to Support Homecare Nurses with Their Care of the Elderly.

The demand for homecare services is on the rise, while simultaneously there is a shortage of homecare nurses who are burdened with increasingly heavier workloads. The introduction of assistive technologies has the potential to assist elderly individuals as well as (informal) caregivers. This study aims to facilitate nursing care with technology, within the framework of a proper daily structure for elderly people. Initially, a needs assessment was performed with homecare nurses to identify the most relevant daily structure patterns. Subsequently, a prototype comprising of a test setup and a mobile application was developed, followed by a case study involving participation from homecare nurses, informal caregivers, and patients. Both subjective experiences and standardized outcome measures (System Usability Scale, Usefulness Satisfaction and Ease of Use Scale and User Experience Questionnaire) revealed highly positive attitudes towards the test setup and application. Future research endeavours should focus on scaling up the technology and expanding its availability to other caregivers.

Obstacle: A Tool to Assess the Home Environment Designed for All.

INTRODUCTION: Elderly prefer to live as long as possible independent in their own home. The occupational therapist can play an important role in this, for instance by giving advice regarding home adaptations or the use of assistive technology in order for the person to function more independently. There is need for a tool that allow to screen the home easily and thorough. AIM: The aim of the study is to develop a screening tool that meets the requirements of occupational therapists to assess the home environment for persons in order to facilitate independent living. METHODS: The screening tool 'Obstacle' was developed and tested in 3 phases within an iterative way using a user-centred design. Firstly, crucial items based on literature and expertise of researchers and occupational therapists in the field were identified and the Obstacle paper version and manual was developed. Secondly, the tool was adapted and digitalised to be used on a tablet. Thirdly, a mini-version of Obstacle was created, being less time consuming and usable as a signalling tool to determine the need for applying the extensive version. The tool was tested by screening homes of 96 elderly in total. Additionally, opinions of 5 elderly, 5 informal caregivers and 5 professional caregivers were gathered with a focus group. RESULTS: The digital screening tool Obstacle is developed and includes 13 rooms to be screened with specific items for each room to be scored. Obstacle was judged very useful by occupational therapists. CONCLUSION: The novelty of this tool is the focus on independent living and the starting point of occupational performance, reduce the risk of falling and facilitating in advising the optimal home adaptations.

Recognizing complex upper extremity activities using body worn sensors.

To evaluate arm-hand therapies for neurological patients it is important to be able to assess actual arm-hand performance objectively. Because instruments that measure the actual quality and quantity of specific activities in daily life are lacking, a new measure needs to be developed. The aims of this study are to a) elucidate the techniques used to identify upper extremity activities, b) provide a proof-of-principle of this method using a set of activities tested in a healthy adult and in a stroke patient, and c) provide an example of the method's applicability in daily life based on readings taken from a healthy adult. Multiple devices, each of which contains a tri-axial accelerometer, a tri-axial gyroscope and a tri-axial magnetometer were attached to the dominant hand, wrist, upper arm and chest of 30 healthy participants and one stroke patient, who all performed the tasks 'drinking', 'eating' and 'brushing hair' in a standardized environment. To establish proof-of-principle, a prolonged daily life recording of 1 participant was used to identify the task 'drinking'. The activities were identified using multi-array signal feature extraction and pattern recognition algorithms and 2D-convolution. The activities 'drinking', 'eating' and 'brushing hair' were unambiguously recognized in a sequence of recordings of multiple standardized daily activities in a healthy participant and in a stroke patient. It was also possible to identify a specific activity in a daily life recording. The long term aim is to use this method to a) identify arm-hand activities that someone performs during daily life, b) determine the quantity of activity execution, i.e. amount of use, and c) determine the quality of arm-hand skill performance.

To What Extent Can Arm-Hand Skill Performance--of Both Healthy Adults and Children-Be Recorded Reliably Using Multiple Bodily Worn Sensor Devices?

Neurological patients often encounter arm-hand problems in daily life. Bodily worn sensors may be used to assess actual performance by quantifying specific movement patterns associated with specific activities. However, signal reliability during activities of daily living should be determined first. The aim is to determine to what extent standardized arm-hand skill performance of both healthy adults and healthy children can be recorded reliably using a combination of multiple sensor devices. Thirty adults (aged > 50 years) and thirty-two children (aged between 6-18 years) performed the activities drinking, eating and combing five times in a standardized setting. Sensor devices, each containing a triaxial accelerometer, gyroscope and magnetometer were attached to the arms, hands and trunk of the participants. Within-subject and between-subject reliability of the signal patterns amongst skill repetitions was determined by calculating Intraclass Correlation Coefficients (ICCs). Median reliability was good to very good for all activities performed (both within and between subjects). Regarding within-subject reliability (instruction-condition), median ICCs ranged between 0.76-0.90 and 0.68-0.92 for the adults and children, respectively. For between-subject reliability (instruction-condition), median ICCs ranged 0.75-0.86 and 0.61-0.90 for the adults and children, respectively. It can be concluded that the above-mentioned sensor system can reliably record activities of daily living in a standardized setting.

Accelerometry measuring the outcome of robot-supported upper limb training in chronic stroke: a randomized controlled trial.

PURPOSE: This study aims to assess the extent to which accelerometers can be used to determine the effect of robot-supported task-oriented arm-hand training, relative to task-oriented arm-hand training alone, on the actual amount of arm-hand use of chronic stroke patients in their home situation. METHODS: This single-blind randomized controlled trial included 16 chronic stroke patients, randomly allocated using blocked randomization (n = 2) to receive task-oriented robot-supported arm-hand training or task-oriented (unsupported) arm-hand training. Training lasted 8 weeks, 4 times/week, 2 × 30 min/day using the (T-)TOAT ((Technology-supported)-Task-Oriented-Arm-Training) method. The actual amount of arm-hand use, was assessed at baseline, after 8 weeks training and 6 months after training cessation. Duration of use and intensity of use of the affected arm-hand during unimanual and bimanual activities were calculated. RESULTS: Duration and intensity of use of the affected arm-hand did not change significantly during and after training, with or without robot-support (i.e. duration of use of unimanual use of the affected arm-hand: median difference of -0.17% in the robot-group and -0.08% in the control group between baseline and after training cessation; intensity of the affected arm-hand: median difference of 3.95% in the robot-group and 3.32% in the control group between baseline and after training cessation). No significant between-group differences were found. CONCLUSIONS: Accelerometer data did not show significant changes in actual amount of arm-hand use after task-oriented training, with or without robot-support. Next to the amount of use, discrimination between activities performed and information about quality of use of the affected arm-hand are essential to determine actual arm-hand performance. TRIAL REGISTRATION: Controlled-trials.com ISRCTN82787126.

Effects of task-oriented robot training on arm function, activity, and quality of life in chronic stroke patients: a randomized controlled trial.

BACKGROUND: Over fifty percent of stroke patients experience chronic arm hand performance problems, compromising independence in daily life activities and quality of life. Task-oriented training may improve arm hand performance after stroke, whereby augmented therapy may lead to a better treatment outcome. Technology-supported training holds opportunities for increasing training intensity. However, the effects of robot-supported task-oriented training with real life objects in stroke patients are not known to date. The aim of the present study was to investigate the effectiveness and added value of the Haptic Master robot combined with task-oriented arm hand training in chronic stroke patients. METHODS: In a single-blind randomized controlled trial, 22 chronic stroke patients were randomly allocated to receive either task-oriented robot-assisted arm-hand training (experimental group) or task-oriented non-robotic arm-hand training (control group). For training, the T-TOAT (Technology-supported Task-Oriented Arm Training) method was applied. Training was provided during 8 weeks, 4 times/week, 2 × 30 min/day. RESULTS: A significant improvement after training on the Action Research Arm Test (ARAT) was demonstrated in the experimental group (p = 0.008). Results were maintained until 6 months after cessation of the training. On the perceived performance measure (Motor Activity Log (MAL)), both, the experimental and control group improved significantly after training (control group p = 0.008; experimental group p = 0.013). The improvements on MAL in both groups were maintained until 6 months after cessation of the training. With regard to quality of life, only in the control group a significant improvement after training was found (EuroQol-5D p = 0.015, SF-36 physical p = 0.01). However, the improvement on SF-36 in the control group was not maintained (p = 0.012). No between-group differences could be demonstrated on any of the outcome measures. CONCLUSION: Arm hand performance improved in chronic stroke patients, after eight weeks of task oriented training. The use of a Haptic Master robot in support of task-oriented arm training did not show additional value over the video-instructed task-oriented exercises in highly functional stroke patients. CLINICAL TRIAL REGISTRATION INFORMATION: Current Controlled Trials ISRCTN82787126.

Arm hand skilled performance in cerebral palsy: activity preferences and their movement components.

BACKGROUND: Assessment of arm-hand use is very important in children with cerebral palsy (CP) who encounter arm-hand problems. To determine validity and reliability of new instruments to assess actual performance, a set of standardized test situations including activities of daily living (ADL) is required. This study gives information with which such a set for upper extremity skill research may be fine-tuned, relative to a specific research question. Aim of this study is to a) identify upper extremity related ADL children with CP want to improve on, b) determine the 10 most preferred goals of children with CP, and c) identify movement components of all goals identified. METHOD: The Canadian Occupational Performance Measure was used to identify upper extremity-related ADL preferences (goals) of 53 children with CP encountering arm-hand problems (mean age 9 ± 4.5 year). Goals were ranked based on importance attributed to each goal and the number of times a goal was mentioned, resulting in a gross list with goals. Additionally, two studies were performed, i.e. study A to determine the 10 most preferred goals for 3 age groups (2.5-5 years; 6-11 years, 12-19 years), based on the total preference score, and study B to identify movement components, like reaching and grasping, of all goals identified for both the leading and the assisting arm-hand. RESULTS: Seventy-two goals were identified. The 10 most preferred goals differed with age, changing from dressing and leisure-related goals in the youngest children to goals regarding personal care and eating for children aged 6-11 years. The oldest children preferred goals regarding eating, personal care and computer use. The movement components 'positioning', 'reach', 'grasp', and 'hold' were present in most tasks. 'Manipulating' was more important for the leading arm-hand, whereas 'fixating' was more important for the assisting arm-hand. CONCLUSION: This study gave insight into the preferences regarding ADL children with CP would like to improve on, and the movement components characterizing these activities. This information can be used to create a set of standardized test situations, which can be used to assess the validity and reliability of new measurement instruments to gauge actual arm-hand skilled performance.

Valid and reliable instruments for arm-hand assessment at ICF activity level in persons with hemiplegia: a systematic review.

BACKGROUND: Loss of arm-hand performance due to a hemiparesis as a result of stroke or cerebral palsy (CP), leads to large problems in daily life of these patients. Assessment of arm-hand performance is important in both clinical practice and research. To gain more insight in e.g. effectiveness of common therapies for different patient populations with similar clinical characteristics, consensus regarding the choice and use of outcome measures is paramount. To guide this choice, an overview of available instruments is necessary. The aim of this systematic review is to identify, evaluate and categorize instruments, reported to be valid and reliable, assessing arm-hand performance at the ICF activity level in patients with stroke or cerebral palsy. METHODS: A systematic literature search was performed to identify articles containing instruments assessing arm-hand skilled performance in patients with stroke or cerebral palsy. Instruments were identified and divided into the categories capacity, perceived performance and actual performance. A second search was performed to obtain information on their content and psychometrics. RESULTS: Regarding capacity, perceived performance and actual performance, 18, 9 and 3 instruments were included respectively. Only 3 of all included instruments were used and tested in both patient populations. The content of the instruments differed widely regarding the ICF levels measured, assessment of the amount of use versus the quality of use, the inclusion of unimanual and/or bimanual tasks and the inclusion of basic and/or extended tasks. CONCLUSIONS: Although many instruments assess capacity and perceived performance, a dearth exists of instruments assessing actual performance. In addition, instruments appropriate for more than one patient population are sparse. For actual performance, new instruments have to be developed, with specific focus on the usability in different patient populations and the assessment of quality of use as well as amount of use. Also, consensus about the choice and use of instruments within and across populations is needed.

A comparison of treatment effects after sensor- and robot-based task-oriented arm training in highly functional stroke patients.

A large number of rehabilitation technologies for stroke patients has been developed in the last decade. To date it is insufficiently clear what the strengths of these different technologies are in relation to certain patient characteristics, such as the level of muscle strength and/or functional ability. One of the reasons is that research protocols differ so much that comparison of treatment results is impossible. This paper compares, while using the same patient inclusion criteria and training protocol, the effectivity of a sensor-supported versus robot-supported task-oriented arm training for highly functional chronic stroke patients. It appeared that individual improvements over time and Hedges's g effect sizes were twice as large for the sensor-based training compared to the robot-supported training in stroke patients with high functional levels. New research is planned to compare both therapy approaches for stroke patients with low and average functional levels.