Technology-based interventions for mental health support after stroke: A systematic review of their acceptability and feasibility.

Mental health disturbances are common after stroke and linked to a slower recovery. Current face-to-face treatment options are costly and often inaccessible. Technology advances have made it possible to overcome some of these barriers to deliver technology-based mental health interventions remotely, but we do not know how acceptable and feasible they are. This systematic review aims to provide an examination of the acceptability and feasibility of technology-based mental health interventions provided to stroke patients and evaluate any barriers to their adoption. A total of 13 studies were included investigating interventions targeting non-specific mental health, depression or anxiety. The delivery technologies were: video conferencing, computer programmes, telephones, DVDs, CDs, robot-assisted devices, and personal digital assistants. Rates of refusal to participate were low (7.9-25%). Where satisfaction was reported, this was generally high. Many studies achieved high levels of adherence (up to 89.6%). This was lower for some technologies (e.g., robotic assistive devices). Where dropout occurred, this was for reasons including a decline in health as well as technical difficulties. Overall, the literature displays early evidence of using technology to deliver mental health interventions to patients with stroke. This review has identified factors that the design of future studies should take into consideration.

Patients' experience of wearing multimodal sensor devices intended to detect epileptic seizures: A qualitative analysis.

BACKGROUND: The health management of patients with epilepsy could be improved by wearing devices that reliably detect when epileptic seizures happen. For the devices to be widely adopted, they must be acceptable and easy to use for patients, and their views are very important. Previous studies have collected feedback from patients on hypothetical devices, but very few have examined experience of wearing actual devices. PURPOSE: This study assessed the first-hand experiences of people with epilepsy using wearable devices, continuously over a period of time. The aim was to understand how acceptable and easy they were to use, and whether it is reasonable to expect that people will use them. MATERIALS AND METHODS: Adults with a diagnosis of epilepsy admitted routinely to a hospital epilepsy monitoring unit were asked to wear one, or more, wearable biosensor devices, tested for seizure detection. The devices are designed to continuously monitor and record signals from the body (biosignals). Participants completed semistructured interviews about their experiences of wearing the device(s). A systematic thematic analysis extracted themes from the interviews, focusing on acceptability and usability. Feedback was organized into (1) participants' experiences of the devices, any support they required and reasons for stopping wearing them; (2) their thoughts about using this technology outside a hospital setting. RESULTS: Twenty-one people with epilepsy wore one, or more, wearable devices for an average of 112.81 (SD = 71.83) hours. Participants found the devices convenient, and had no problem wearing them in hospital or sharing the data collected from them with the researchers and medical professionals. However, the presence of wires, bulky size, discomfort, and need for support, moderated experience. Participants' thoughts about wearing them in everyday life were strongly influenced by how visible and perceived accuracy. Willingness to use a smartphone app to complete questionnaires depended on the frequency, number of questions, and support. CONCLUSIONS: Overall, this work provides evidence about the feasibility and acceptability of using wearable devices to monitor seizure activity in people with epilepsy. Key barriers and facilitators to use while in hospital and hypothetical use in everyday life were identified and will be helpful for guiding future implementation.

The Dysexecutive Questionnaire Revised (DEX-R): An extended measure of everyday dysexecutive problems after acquired brain injury.

The Dysexecutive Questionnaire (DEX) is a tool for measuring everyday problems experienced with the dysexecutive syndrome. This study investigated the psychometric properties of a revised version of the measure (DEX-R), a comprehensive tool, grounded in current theoretical conceptualisations of frontal lobe function and dysexecutive problems. The aim was to improve measurement of dysexecutive problems following acquired brain injury (ABI). Responses to the DEX-R were collected from 136 men and women who had experienced an ABI (the majority of whom had experienced a stroke or subarachnoid haemorrhage) and where possible, one of their carers or family members (n = 71), who acted as an informant. Rasch analysis techniques were employed to explore the psychometric properties of four newly developed, theoretically distinct subscales based on Stuss model of frontal lobe function and to evaluate the comparative validity and reliability of self and informant ratings of these four subscales. The newly developed subscales were well targeted to the range of dysexecutive problems reported by the current sample and each displayed a good level of internal validity. Both self- and independent-ratings were found to be performing reliably as outcome measures for at least a group-level. This new version of the tool could help guide selection of interventions for different types of dysexecutive problems and provide accurate measurement in neurorehabilitation services.