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Europe’s healthcare systems are under strain with an ageing population contributing to increased risk of strokes. Rapid technology adaption is needed to prevent, rehabilitate and manage symptoms. This paper identifies what technology platforms are most familiar and accessible to stroke patients to guide designers and engineers to develop future interventions. A survey was distributed to 100 inpatients at a stroke unit, identifying patients’ accessibility and usage of personal technologies. Results showed that desktop/laptops and smartphones were most used as opposed to tablets and smartwatches. Different technologies were used for different tasks with a notable lack of devices used for personal health. The underlying reasons for this are discussed with recommendations made on what personal technology platforms should be implemented by designers and engineers in technology-based health interventions.

Background: It is well established that patients with glioma may experience adverse general (eg, headache) or focal symptoms (eg, personality changes) and neurocognitive deficits (eg, planning), but they may also experience severe emotional distress. We investigated the prevalence of depressive symptoms in patientswith newly diagnosed glioma and in matched cancer-free persons. Methods: For this study, we recruited patients with glioma diagnosed within 12 months at all 4 neurosurgical clinics in Denmark. The cancer-free comparison group was identified through the Danish Central Person Register and matched on sex and age. Participants' depressive symptoms were evaluated using the Center for Epidemiologic Studies Depression Scale (CES-D; score range, 0-60), with a cutoff score ≥16 indicating moderate-to-severe depressive symptoms. Results: In this study, 363 of 554 patients with glioma and 481 of 1,304 cancer-free persons participated. Mean age of all patients was 55 years and 60% of the population was male. Mean scores for depressive symptoms were statistically significantly higher among patients with glioma, with a mean CES-D score of 10.9 (95% CI, 10.1-11.8) compared with 5.3 (95% CI, 4.7-5.8) among cancer-free persons (P<.0001). Overall, 92 patients with glioma (25%) and 30 cancer-free persons (6%) had moderate-to-severe depressive symptoms. After adjustment for marital status, education level, and comorbidity, the prevalence of depressive symptoms was 5 times higher among patients with glioma compared with cancer-free persons. Conclusions: A substantially higher prevalence of moderate-tosevere depressive symptoms was identified in patients with glioma compared with cancer-free persons. This indicates the importance of programs to systematically identify and manage depressive symptoms in patients with glioma.

Background: Mobile and wearable technology presents exciting opportunities for monitoring behavior using widely available sensor data. This could support clinical research and practice aimed at improving quality of life among the growing number of people with dementia. However, it requires suitable tools for measuring behavior in a natural real-life setting that can be easily implemented by others. Objective: The objectives of this study were to develop and test a set of algorithms for measuring mobility and activity and to describe a technical setup for collecting the sensor data that these algorithms require using off-the-shelf devices. Methods: A mobility measurement module was developed to extract travel trajectories and home location from raw GPS (global positioning system) data and to use this information to calculate a set of spatial, temporal, and count-based mobility metrics. Activity measurement comprises activity bout extraction from recognized activity data and daily step counts. Location, activity, and step count data were collected using smartwatches and mobile phones, relying on open-source resources as far as possible for accessing data from device sensors. The behavioral monitoring solution was evaluated among 5 healthy subjects who simultaneously logged their movements for 1 week. Results: The evaluation showed that the behavioral monitoring solution successfully measures travel trajectories and mobility metrics from location data and extracts multimodal activity bouts during travel between locations. While step count could be used to indicate overall daily activity level, a concern was raised regarding device validity for step count measurement, which was substantially higher from the smartwatches than the mobile phones. Conclusions: This study contributes to clinical research and practice by providing a comprehensive behavioral monitoring solution for use in a real-life setting that can be replicated for a range of applications where knowledge

BACKGROUND: Mobile and wearable devices are increasingly being used to support our everyday lives and track our behavior. Since daily support and behavior tracking are two core components of cognitive rehabilitation, such personal devices could be employed in rehabilitation approaches aimed at improving independence and engagement among people with dementia.OBJECTIVE: The aim of this work was to investigate the feasibility of using smartphones and smartwatches to augment rehabilitation by providing adaptable, personalized support and objective, continuous measures of mobility and activity behavior.METHODS: A feasibility study comprising 6 in-depth case studies was carried out among people with early-stage dementia and their caregivers. Participants used a smartphone and smartwatch for 8 weeks for personalized support and followed goals for quality of life. Data were collected from device sensors and logs, mobile self-reports, assessments, weekly phone calls, and interviews. This data were analyzed to evaluate the utility of sensor data generated by devices used by people with dementia in an everyday life context; this was done to compare objective measures with subjective reports of mobility and activity and to examine technology acceptance focusing on usefulness and health efficacy.RESULTS: Adequate sensor data was generated to reveal behavioral patterns, even for minimal device use. Objective mobility and activity measures reflecting fluctuations in participants' self-reported behavior, especially when combined, may be advantageous in revealing gradual trends and could provide detailed insights regarding goal attainment ratings. Personalized support benefited all participants to varying degrees by addressing functional, memory, safety, and psychosocial needs. A total of 4 of 6 (67%) participants felt motivated to be active by tracking their step count. One participant described a highly positive impact on mobility, anxiety, mood, and caregi

Adolescents and young adults are often in a particularly vulnerable position following acquired brain injury (ABI). In addition to neurological and cognitive impairment, they are faced with issues concerning education, job, family, and social life. Moreover, they may be limited in meeting peers and may be left alone with psychosocial issues. This paper investigates how this patient group may benefit from meeting like-minded peers. From information gathered through a questionnaire and interviews with participants in a peer support group, the study aimed to investigate the social and psychological advances such a group can offer, and how this may contribute to psychosocial recovery following ABI. Also, the paper indicates how peer support groups may possibly have an impact on the everyday lives of adolescents and young adults with ABI.

Background: Mobile and wearable technology presents exciting opportunities for monitoring behavior using widely available sensor data. This could support clinical research and practice aimed at improving quality of life among the growing number of people with dementia. However, it requires suitable tools for measuring behavior in a natural real-life setting that can be easily implemented by others. Objective: The objectives of this study were to develop and test a set of algorithms for measuring mobility and activity and to describe a technical setup for collecting the sensor data that these algorithms require using off-the-shelf devices. Methods: A mobility measurement module was developed to extract travel trajectories and home location from raw GPS (global positioning system) data and to use this information to calculate a set of spatial, temporal, and count-based mobility metrics. Activity measurement comprises activity bout extraction from recognized activity data and daily step counts. Location, activity, and step count data were collected using smartwatches and mobile phones, relying on open-source resources as far as possible for accessing data from device sensors. The behavioral monitoring solution was evaluated among 5 healthy subjects who simultaneously logged their movements for 1 week. Results: The evaluation showed that the behavioral monitoring solution successfully measures travel trajectories and mobility metrics from location data and extracts multimodal activity bouts during travel between locations. While step count could be used to indicate overall daily activity level, a concern was raised regarding device validity for step count measurement, which was substantially higher from the smartwatches than the mobile phones. Conclusions: This study contributes to clinical research and practice by providing a comprehensive behavioral monitoring solution for use in a real-life setting that can be replicated for a range of applications where knowledge

Adolescents and young adults are often in a particularly vulnerable position following acquired brain injury (ABI). In addition to neurological and cognitive impairment, they are faced with issues concerning education, job, family, and social life. Moreover, they may be limited in meeting peers and may be left alone with psychosocial issues. This paper investigates how this patient group may benefit from meeting like-minded peers. From information gathered through a questionnaire and interviews with participants in a peer support group, the study aimed to investigate the social and psychological advances such a group can offer, and how this may contribute to psychosocial recovery following ABI. Also, the paper indicates how peer support groups may possibly have an impact on the everyday lives of adolescents and young adults with ABI.

BACKGROUND: Mobile and wearable devices are increasingly being used to support our everyday lives and track our behavior. Since daily support and behavior tracking are two core components of cognitive rehabilitation, such personal devices could be employed in rehabilitation approaches aimed at improving independence and engagement among people with dementia.OBJECTIVE: The aim of this work was to investigate the feasibility of using smartphones and smartwatches to augment rehabilitation by providing adaptable, personalized support and objective, continuous measures of mobility and activity behavior.METHODS: A feasibility study comprising 6 in-depth case studies was carried out among people with early-stage dementia and their caregivers. Participants used a smartphone and smartwatch for 8 weeks for personalized support and followed goals for quality of life. Data were collected from device sensors and logs, mobile self-reports, assessments, weekly phone calls, and interviews. This data were analyzed to evaluate the utility of sensor data generated by devices used by people with dementia in an everyday life context; this was done to compare objective measures with subjective reports of mobility and activity and to examine technology acceptance focusing on usefulness and health efficacy.RESULTS: Adequate sensor data was generated to reveal behavioral patterns, even for minimal device use. Objective mobility and activity measures reflecting fluctuations in participants' self-reported behavior, especially when combined, may be advantageous in revealing gradual trends and could provide detailed insights regarding goal attainment ratings. Personalized support benefited all participants to varying degrees by addressing functional, memory, safety, and psychosocial needs. A total of 4 of 6 (67%) participants felt motivated to be active by tracking their step count. One participant described a highly positive impact on mobility, anxiety, mood, and caregi

Background: Mobile and wearable technology presents exciting opportunities for monitoring behavior using widely available sensor data. This could support clinical research and practice aimed at improving quality of life among the growing number of people with dementia. However, it requires suitable tools for measuring behavior in a natural real-life setting that can be easily implemented by others. Objective: The objectives of this study were to develop and test a set of algorithms for measuring mobility and activity and to describe a technical setup for collecting the sensor data that these algorithms require using off-the-shelf devices. Methods: A mobility measurement module was developed to extract travel trajectories and home location from raw GPS (global positioning system) data and to use this information to calculate a set of spatial, temporal, and count-based mobility metrics. Activity measurement comprises activity bout extraction from recognized activity data and daily step counts. Location, activity, and step count data were collected using smartwatches and mobile phones, relying on open-source resources as far as possible for accessing data from device sensors. The behavioral monitoring solution was evaluated among 5 healthy subjects who simultaneously logged their movements for 1 week. Results: The evaluation showed that the behavioral monitoring solution successfully measures travel trajectories and mobility metrics from location data and extracts multimodal activity bouts during travel between locations. While step count could be used to indicate overall daily activity level, a concern was raised regarding device validity for step count measurement, which was substantially higher from the smartwatches than the mobile phones. Conclusions: This study contributes to clinical research and practice by providing a comprehensive behavioral monitoring solution for use in a real-life setting that can be replicated for a range of applications where knowledge ab

Udgivelsesdato: 2002-Sep, OBJECTIVE: To evaluate whether follow-up services for stroke survivors could improve functional outcome and reduce readmission rate. In this paper results of functional outcome are reported. DESIGN: Randomized controlled trial allocating patients to one of three different types of aftercare: (1) follow-up home visits by a physician, (2) physiotherapist instruction in the patient's home, or (3) standard aftercare. SUBJECTS: Stroke patients with persisting impairment and disability who, after completing inpatient rehabilitation, were discharged to their homes. OUTCOME MEASURES: Six months after discharge, functional outcome was assessed with Functional Quality of Movement, Barthel Index, Frenchay Activity Index and Index of Extended Activites of Daily Living. RESULTS: One-hundred and fifty-five stroke patients were included in the study. Fifty-four received follow-up home visits by a physician, 53 were given instructions by a physiotherapist in their home and 48 received standard aftercare only. No statistically significant differences in functional outcome six months after discharge were demonstrated between the three groups. However, all measurements showed a tendency towards higher scores indicating better function in both interventions groups compared with the control group. CONCLUSION: Follow-up services after stroke may be a way of improving functional outcome. The results of the present study should be evaluated in future trials. More research in this field is needed, especially studies of how to support stroke survivors to resume social and leisure activities.

Udgivelsesdato: 2002-Sep, OBJECTIVE: To evaluate whether follow-up services for stroke survivors could improve functional outcome and reduce readmission rate. In this paper results of functional outcome are reported. DESIGN: Randomized controlled trial allocating patients to one of three different types of aftercare: (1) follow-up home visits by a physician, (2) physiotherapist instruction in the patient's home, or (3) standard aftercare. SUBJECTS: Stroke patients with persisting impairment and disability who, after completing inpatient rehabilitation, were discharged to their homes. OUTCOME MEASURES: Six months after discharge, functional outcome was assessed with Functional Quality of Movement, Barthel Index, Frenchay Activity Index and Index of Extended Activites of Daily Living. RESULTS: One-hundred and fifty-five stroke patients were included in the study. Fifty-four received follow-up home visits by a physician, 53 were given instructions by a physiotherapist in their home and 48 received standard aftercare only. No statistically significant differences in functional outcome six months after discharge were demonstrated between the three groups. However, all measurements showed a tendency towards higher scores indicating better function in both interventions groups compared with the control group. CONCLUSION: Follow-up services after stroke may be a way of improving functional outcome. The results of the present study should be evaluated in future trials. More research in this field is needed, especially studies of how to support stroke survivors to resume social and leisure activities.