Conclusion: Computer-based cognitive interventions have moderate effects in cognition, and anxiety and small effects in depression in PWD. No significant effects were found on activities of daily living. They led to superior results compared to non-computer-based interventions in cognition. Further research is needed on cognitive recreation and cognitive stimulation. SSSFT - Please contact the library to receive a copy of this article - http://bit.ly/1Xyazai
In particular, it illustrates the innovative use of technology through a selection of local and international best practice case-studies and puts forward an outcome-based financing model which could facilitate the delivery of more innovative solutions.
It contains answers to key questions around digital technology – why is digital important, how does it support policy and commissioning objectives, what is the art of the possible/benefits of going digital and how do you make sure you’re making the right decisions.
This article describes 4 case examples of technology-based interventions for risky drinking: (a) a freely available and interactive Web site that provides individualized feedback and information on risky drinking patterns; (b) a brief intervention for adolescents that provides individualized feedback to teens regarding their alcohol use; (c) a computer-delivered screening and brief intervention for alcohol use among pregnant women; and (d) a simulation program for training social workers in screening and brief intervention. SSSSFT - Please contact the library to receive a copy of this article - http://bit.ly/1Xyazai
An interactive toolkit introduced by Linda Sanders, ADASS Technology Lead, detailing results of research into how assistive technology can support the areas of most concern to directors of adult social services, including detailed practice examples.
Results: We found 15 robotic systems reported in 34 studies that provided a low level of evidence. The outcomes were mainly for children with ASD interaction and who had a reduction in autistic behaviour, and for CP cognitive development, learning, and play. SSSSFT - Please contact the library to receive a copy of this article - http://bit.ly/1Xyazai
This paper describes the first UK study to explore and develop business approaches and innovations required to make electronic assisted living technologies more accessible to consumers in their fifties and sixties. SSSSFT - Please contact the library to receive a copy of this article - http://bit.ly/1Xyazai
Existing literature suggests 6 essential features of an optimal mobile app for maximizing CBT homework compliance: (1) therapy congruency, (2) fostering learning, (3) guiding therapy, (4) connection building, (5) emphasis on completion, and (6) population specificity. We expect that a well-designed mobile app incorporating these features should result in improved homework compliance and better outcomes for its users.
Conclusions: These findings suggest that in Web-based interventions outcome and adherence can be predicted by patterns of early change, which can inform treatment decisions and potentially help optimize the allocation of scarce clinical resources.
New virtual clinics in the Memory Matters team at Cumbria Partnership NHS Foundation Trust means patients suspected of having dementia are able to be diagnosed four times faster than before.
The Safety Thermometer App, built by the NHS Quality Observatory and supported by Haelo, has been introduced to Mid Yorkshire Hospitals NHS Trust to revolutionise the monthly audit of data.
The audit, a national requirement, aims to monitor harm-free care across the nation.
It is estimated that, in the acute setting, the new process will save on average 58 hours per month– that’s 696 hours per year!
aking a patient-centric approach means that uMotif have built a tool that patients actually love to use, and build into their daily lives: “I think it is not only a good app but by completing it daily it has made me consider why I might be in pain, or not in pain. Happy to complete it.”
Over the last year the app has captured 64 million data points from over 18,000 patients who’ve chosen to take part in research studies.
Background: We conducted a randomized controlled trial of a digital health system supporting clinical care through monitoring and self-management support in community-based patients with moderate to very severe chronic obstructive pulmonary disease (COPD).
Conclusions: A medical IoT system can be integrated into the existing nursing workflow and may reduce patient bed fall risk in acute care hospitals, a high priority but an elusive patient safety challenge. By using an alerting system that sends notifications directly to nurses’ mobile devices, nurses can equally respond to unassisted bed-exit attempts wherever patients are located on the ward. Further study, including a fully powered randomized controlled trial, is needed to assess effectiveness across hospital settings.
Conclusions: This was the first study to assess the effectiveness of a Web-based well-being intervention in a sample of young adults. The design of the intervention utilized expert rating of existing apps and end-user codesign approaches resulting in an app recommendation service.
Background: Safety planning is a brief intervention that has become an accepted practice in many clinical settings to help prevent suicide. Even though it is quick compared to other approaches, it frequently requires 20 min or more to complete, which can impede adoption. A self-administered, Web-based safety planning application could potentially reduce clinician time, help promote standardization and quality, and provide enhanced ability to share the created plan.