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To report progress made by the National Clinical Governance Support Team's (CGST) Programme for Stroke between 2001 and 2004 and its effects on service provision.

The effectiveness of the Stroke Programme on services was assessed by comparing changes in services in Trusts which had undergone the process with those in a control group.

Using the Review, Agree, Implement, Demonstrate (RAID) model, the Stroke Programme led to benefits which include greater participation by patients and carers in treatment programmes and in development of services. Quantitative assessment of the extent of change in stroke services showed a significantly greater change in stroke unit provision, staffing levels and new funding in those sites which had attended the Stroke Programme.

The review provides an overview of recent developments in stroke services in the UK and describes the benefits of intervention by the Clinical Governance Programme.

This correlational study conducted at Ban Phaeo Hospital, Thailand, aimed to assess the health literacy levels of 105 older adult stroke survivors from November 2021 to February 2022.

The study uncovered a moderate level of health literacy among participants, as indicated by a mean score of 66.85 (SD = 8.151).

Significant positive correlations were observed between health literacy and several key factors, including patient-provider relationships (r = 0.550, p < 0.001), social support (r = 0.548, p < 0.001) and perceived health status (r = 0.484, p < 0.001). These findings emphasize the interconnectedness of health literacy with critical elements of healthcare engagement and well-being.

To advance stroke prevention in the older adult population, future research should focus on evaluating nurse-led interventions designed to enhance health literacy.

Raising awareness about the influence of patient-provider relationships, social support networks and perceived health status represents the initial stride toward a successful strategy for elevating health literacy and preventing recurrent strokes in this demographic.

This work is entirely original, all authors listed contributed to the project and have approved the final draft for submission. This work of art has not been published or is under consideration elsewhere. This study addresses the crucial gap in the literature by uncovering moderate health literacy levels among older adult stroke survivors. It delves into the intricacies of health literacy in this population, establishing correlations with patient-provider relationships, social support and perceived health status. The study emphasizes the critical role of health literacy in healthcare engagement and well-being, advocating for nurse-led interventions to enhance health literacy and prevent recurrent strokes in older adults.

A stroke is a serious, life-threatening condition that occurs when the blood supply to a part of the brain is cut off. The earlier a stroke is treated, the less damage is likely to occur. One of the methods that can lead to faster treatment is timely and accurate prediction and diagnosis. This paper aims to compare the binary integer programming-data envelopment analysis (BIP-DEA) model and the logistic regression (LR) model for diagnosing and predicting the occurrence of stroke in Iran.

In this study, two algorithms of the BIP-DEA and LR methods were introduced and key risk factors leading to stroke were extracted.

The study population consisted of 2,100 samples (patients) divided into six subsamples of different sizes. The classification table of each algorithm showed that the BIP-DEA model had more reliable results than the LR for the small data size. After running each algorithm, the BIP-DEA and LR algorithms identified eight and five factors as more effective risk factors and causes of stroke, respectively. Finally, predictive models using the important risk factors were proposed.

The main objective of this study is to provide the integrated BIP-DEA algorithm as a fast, easy and suitable tool for evaluation and prediction. In fact, the BIP-DEA algorithm can be used as an alternative tool to the LR model when the sample size is small. These algorithms can be used in various fields, including the health-care industry, to predict and prevent various diseases before the patient’s condition becomes more dangerous.

This study aims to review the lived experience of patients suffering from stroke and describe their perception of palliative care needs.

A literature review search was conducted. Web of Sciences, SAGE, CINAHL, PubMed and Jordanian Database for Nursing Research databases were used to search the literature.

The findings of 37 articles were address palliative care approaches for patients with stroke, lived experiences of patients suffering from stroke and the experience, barriers and facilitators related to health-care service for stroke survivors.

This review indicated the importance of recognizing palliative care needs among patients suffering from stroke to improve post-stroke recovery. This study recommends further research, especially in low- and middle-income countries, to understand patients’ experiences and recognize the main palliative care needs that can be incorporated into interventions designed to improve the quality of life among them.

Strokes are the most common cause of long-term disability of adults in developed countries. Continuous participation in rehabilitation can alleviate some of the consequences, and support recovery of stroke patients. However, physical rehabilitation requires commitment to tedious exercise routines over lengthy periods of time, which often cause patients to dropout of this form of therapy. In this context, game-based stroke rehabilitation has the potential to address two important barriers: accessibility of rehabilitation, and patient motivation. The paper aims to discuss these issues.

This paper provides a review of design efforts in human-computer interaction (HCI) and gaming research to support stroke rehabilitation.

Based on extensive review, this paper highlights challenges and opportunities in this area, and discusses an architecture guideline for a game-based stroke rehabilitation system.

This study was an original study.

Assistive technology is a term used to describe any device ranging from simple equipment to complex technologies that can assist a person with a disability. The term is now applied to new technological devices to facilitate active rehabilitation as well as to equipment to enable a person to live with their condition. Current developments such as technology for stroke rehabilitation are rarely brought to the attention of health and social care practitioners, even though frontline staff will be at the forefront of implementation, and their views of the nature of devices and their appropriateness is pivotal. This paper describes some of the technologies being developed to assist the process and delivery of stroke rehabilitation, their potential benefits in practice and stakeholder perceptions of these new technologies.

The purpose of this paper is to evaluate the needs of stroke survivors and the impact of a Life After Stroke service on users, and to explore the effectiveness of a service provided by a third sector organisation working closely with other stroke service provision.

Review of management documents and reports, polling views of 128 service users through a nationally recognised survey designed to assess the service impact, and using interviews and focus groups to gain a deeper understanding of the value and impact of the service from a range of professionals involved with delivering stroke care. Survey response rates were similar to that experienced nationally and the age/gender profile of respondents suggested they were representative.

The service was highly regarded by service users as providing personal, practical and emotional support from people who were knowledgeable and accessible in acute hospitals. From the wider perspective, professionals involved in the stroke pathway saw the service as complementing the acute hospital provision and the stroke community nursing team. The organisation providing the support service worked effectively across health and social care boundaries and built on their existing links and trusted relationships.

This adds to the evidence that the personal impact of stroke is substantial, and on being discharged from acute care many survivors will still have considerable needs. For those responsible for meeting these needs, the particular model of delivering stroke support evaluated here has been found to have considerable merits and resilience in the changing landscape of tighter resources and NHS restructuring.

The purpose of this paper is to extend the usage of stroke gestures in manipulation tasks to make the interaction between human and robot more efficient.

In this paper, a set of stroke gestures is designed for typical manipulation tasks. A gesture recognition and parameter extraction system is proposed to exploit the information in stroke gestures drawn by the users.

The results show that the designed gesture recognition subsystem can reach a recognition accuracy of 99.00 per cent. The parameter extraction subsystem can successfully extract parameters needed for typical manipulation tasks with a success rate about 86.30 per cent. The system shows an acceptable performance in the experiments.

Using stroke gesture in manipulation tasks can make the transmission of human intentions to the robots more efficient. The proposed gesture recognition subsystem is based on convolutional neural network which is robust to different input. The parameter extraction subsystem can extract the spatial information encoded in stroke gestures.

The author designs stroke gestures for manipulation tasks which is an extension of the usage of stroke gestures. The proposed gesture recognition and parameter extraction system can make use of stroke gestures to get the type of the task and important parameters for the task simultaneously.

Stroke is a leading cause of death and disability in the USA and worldwide. While stroke care has evolved dramatically, many new acute approaches to therapy focus only on the first 3-12 hours. Significant treatment opportunities beyond the first 12 hours can play a major role in improving outcomes for stroke patients. The purpose of this paper is to highlight the issues that affect stroke care delivery for patients and caregivers and describe an integrated care model that can improve care across the continuum.

This paper details evidence-based research that documents current stroke care and efforts to improve care delivery. Further, an innovative integrated care model is described, and its novel application to stroke care is highlighted.

Stroke patients and caregivers face fragmented and poorly coordinated care systems as they move through specific stroke nodes of care, from acute emergency and in-hospital stay through recovery post-discharge at a care facility or at home, and can be addressed by applying a comprehensive, technology-enabled Integrated Stroke Practice Unit (ISPU) Model of Care.

This paper documents specific issues that impact stroke care and the utilization of integrated care delivery models to address them. Evidence-based research results document difficulties of current care delivery methods for stroke and the impact of that care delivery on patients and caregivers across each node of care. It offers an innovative ISPU model and highlights specific tenets of that model for readers.

Restoration of walking ability is a key goal to both stroke survivors and their therapists. However, the intensity and duration of rehabilitation available after stroke can be limited by service constraints, despite the potential for improvement which could reduce health service demands in the long run. The purpose of this paper is to present qualitative findings from a study that explored the acceptability of a haptic device aimed at improving walking as part of an extended intervention in stroke rehabilitation.

Pre-trial focus groups and post-trial interviews to assess the acceptability of Haptic Bracelets were undertaken with seven stroke survivors.

Five themes were identified as impacting on the acceptability of the Haptic Bracelet: potential for improving quality of life; relationships with technology; important features; concerns; response to trial and concentration. Participants were interested in the haptic bracelet and hoped it would provide them with more confidence making them: feel safer when walking; have greater ability to take bigger strides rather than little steps; a way to combat mistakes participants reported making due to tiredness and reduced pain in knees and hips.

Haptic Bracelets are an innovative development in the field of rhythmic cueing and stroke rehabilitation. The haptic bracelets also overcome problems encountered with established audio-based cueing, as their use is not affected by external environmental noise.

The peer review history for this article is available at: https://publons.com/publon 10.1108/JET-01-2021-0003