Ecological Assessments of Activities of Daily Living and Personal Experiences with Mobus, An Assistive Technology for Cognition: A Pilot Study in Schizophrenia
Mobus is a cognitive orthotic designed for people with difficulties managing Activities of Daily Living (ADL), as encountered in schizophrenia. It provides a schedule manager as well as the possibility to report occurrences of symptomatic experiences. Receiving this information by Internet, caregivers can assist the patient rehabilitation process. Our aim was to explore the use and satisfaction of Mobus by people with schizophrenia. Nine outpatients tested Mobus for 6 weeks. Indicators of cognitive functioning and autonomy were measured with the CAmbridge Neuropsychological Tests Automated Battery (CANTAB) and the Independant Living Skills Scale (ILSS). On average, 42.6% of the planned ADL were validated and more than 1 symptom per week were reported. Mainly because of technical breakdown, more than 50% of the outpatients evaluated the Mobus satisfaction below 1.7/5, nevertheless 3 participants appreciated it greatly. Some enhancements were found on subscales of CANTAB and ILSS and some participants reported that they acquired planning skills by using Mobus. To ensure ease of use, refinements are needed from rehabilitation and technical approaches, especially to personalize the device. Discussions on ethical and methodological issues lead to an improved version of Mobus that will be tested with a larger sample size.
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Available from: Alexandra König
- "Sablier and colleagues developed a technological solution designed for people with difficulties managing ADL, providing a schedule manager as well as the possibility to report occurrences of experiences of symptoms such as depression and agitation . However, indicators of cognitive functioning and autonomy were measured using a test battery and scales . Okahashi et al. created a Virtual Shopping Test—using virtual reality technology to assess cognitive functions in brain-injured patients—correlating variables on the virtual test with scores of conventional assessments of attention and memory . "
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ABSTRACT: Over the last few years, the use of new technologies for the support of elderly people and in particular dementia patients received increasing interest. We investigated the use of a video monitoring system for automatic event recognition for the assessment of instrumental activities of daily living (IADL) in dementia patients. Participants (19 healthy subjects (HC) and 19 mild cognitive impairment (MCI) patients) had to carry out a standardized scenario consisting of several IADLs such as making a phone call while they were recorded by 2D video cameras. After the recording session, data was processed by a platform of video signal analysis in order to extract kinematic parameters detecting activities undertaken by the participant. We compared our automated activity quality prediction as well as cognitive health prediction with direct observation annotation and neuropsychological assessment scores. With a sensitivity of 85.31% and a precision of 75.90%, the overall activities were correctly automatically detected. Activity frequency differed significantly between MCI and HC participants (p < 0.05). In all activities, differences in the execution time could be identified in the manually and automatically extracted data. We obtained statistically significant correlations between manually as automatically extracted parameters and neuropsychological test scores (p < 0.05). However, no significant differences were found between the groups according to the IADL scale. The results suggest that it is possible to assess IADL functioning with the help of an automatic video monitoring system and that even based on the extracted data, significant group differences can be obtained.
Available from: Peter De Jonge
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The aim of this review was to investigate to what extent information technology may support self-management among service users with psychotic disorders. The investigation aimed to answer the following questions: What types of e-mental health self-management interventions have been developed and evaluated? What is the current evidence on clinical outcome and cost-effectiveness of the identified interventions? To what extent are e-mental health self-management interventions oriented toward the service user?
A systematic review of references through July 2012 derived from MEDLINE, PsycINFO, AMED, CINAHL, and the Library, Information Science and Technology database was performed. Studies of e-mental health self-management interventions for persons with psychotic disorders were selected independently by three reviewers.
Twenty-eight studies met the inclusion criteria. E-mental health self-management interventions included psychoeducation, medication management, communication and shared decision making, management of daily functioning, lifestyle management, peer support, and real-time self-monitoring by daily measurements (experience sampling monitoring). Summary effect sizes were large for medication management (.92) and small for psychoeducation (.37) and communication and shared decision making (.21). For all other studies, individual effect sizes were calculated. The only economic analysis conducted reported more short-term costs for the e-mental health intervention.
People with psychotic disorders were able and willing to use e-mental health services. Results suggest that e-mental health services are at least as effective as usual care or nontechnological approaches. Larger effects were found for medication management e-mental health services. No studies reported a negative effect. Results must be interpreted cautiously, because they are based on a small number of studies.
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ABSTRACT: Alzheimer's disease is a degenerative disease characterised by a progressive loss of cognitive functions and impairment of activities of daily living severe enough to interfere with normal functioning. To help persons with this disease perform a variety of activities, our research team developed AP@LZ, an electronic organiser specifically designed for them. Two participants with Alzheimer's disease learned how to use AP@LZ in their daily lives by following a structured learning method. After the learning phase, the participants were able to use AP@LZ efficiently and facilitate their day-to-day activities for several months, despite the steady progression of the disease. These results suggest that persons with Alzheimer's disease can learn to use new technologies to compensate for their everyday memory problems, which opens up new rehabilitation possibilities in dementia care.
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