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IntroductionApproaches to economic evaluations of stroke therapies are varied and inconsistently described. An objective of the European Stroke Organisation (ESO) Health Economics Working Group is to standardise and improve the economic evaluations of interventions for stroke.MethodsThe ESO Health Economics Working Group and additional experts were contacted to develop a protocol and a guidance document for data collection for economic evaluations of stroke therapies. A modified Delphi approach, including a survey and consensus processes, was used to agree on content. We also asked the participants about resources that could be shared to improve economic evaluations of interventions for stroke.ResultsOf 28 experts invited, 16 (57%) completed the initial survey, with representation from universities, government, and industry. More than half of the survey respondents endorsed 13 specific items to include in a standard resource use questionnaire. Preferred functional/quality of life outcome measures to use for economic evaluations were the modified Rankin Scale (14 respondents, 88%) and the EQ-5D instrument (11 respondents, 69%). Of the 12 respondents who had access to data used in economic evaluations, 10 (83%) indicated a willingness to share data. A protocol template and a guidance document for data collection were developed and are presented in this article.ConclusionThe protocol template and guidance document for data collection will support a more standardised and transparent approach for economic evaluations of stroke care.

Background: The long-term health-economic consequences of acute stroke are typically extrapolated from short-term outcomes observed in different studies, using models based on assumptions about longer-term morbidity and mortality. Inconsistency in these assumptions and the methods of extrapolation can create difficulties when comparing estimates of lifetime cost-effectiveness of stroke care interventions. Aims: To develop a long-term model consisting of a set of equations to estimate the lifetime effects of stroke care interventions to promote consistency in extrapolation of short-term outcomes. Methods: Data about further admissions and mortality were provided for acute stroke patients discharged between 2013 and 2014 from a large English service. This was combined with data from UK life tables to create a set of parametric equations in a model that use age, sex, and modified Rankin Scores to predict the lifetime risk of mortality and secondary care resource utilization including ED attendances, non-elective admissions, and elective admissions. A cohort of 1509 (male 51%; mean age 74) stroke patients had median follow-up of 7 years and represented 7111 post-discharge patient years. A logistic model estimated mortality within 12 months of discharge, and a Gompertz model was used over the remainder of the lifetime. Hospital attendances were modeled using a Weibull distribution. Non-elective and elective bed days were both modeled using a log-logistic distribution. Results: Mortality risk increased with age, dependency, and male sex. Although the overall pattern was similar for resource utilization, there were different variations according to dependency and gender for ED attendances and non-elective/elective admissions. For example, 65-year-old women with a mRS at discharge of 1 would gain an extra 6.75 life years compared to 65-year-old women with a mRS at discharge of 3. Over their lifetime, 65-year-old women with an mRS at discharge of 1 would experience 0.09 less ED attendances, 2.12 less non-elective bed days, and 1.28 additional elective bed days than 65-year-old women with an mRS at discharge of 3. Conclusions: Using long-term follow-up publicly available data from a large clinical cohort, this new model promotes standardized extrapolation of key outcomes over the life course and potentially can improve the real-world accuracy and comparison of long-term cost-effectiveness estimates for stroke care interventions. Data assess statement: Data are available upon reasonable request from third parties. [ABSTRACT FROM AUTHOR]

Background: Surgical intervention for thoracic aortic aneurysms is high risk. Understanding changes in health-related quality of life before and after endovascular stent grafting and open surgical repair can aid treatment decision-making. Methods: The Effective Treatments for Thoracic Aortic Aneurysms ('ETTAA') study (ISRCTN04044627) was a longitudinal, observational study. Adults with new/existing arch or descending thoracic aortic aneurysms greater than or equal to 4 cm in diameter were followed from 2014 to 2022. Five domains of health-related quality of life (Mobility, Self-Care, Usual Activities, Pain/Discomfort, and Anxiety/Depression) were recorded using the EuroQoL, five dimensions, five levels ('EQ-5D-5L') questionnaire and analysed using a range of longitudinal mixed models. Results: Of 886 thoracic aortic aneurysm participants, 824 completed at least 2 questionnaires. Patients had slightly worse health-related quality of life than age-matched norms. Without surgery, deterioration occurred over time in Mobility (0.072/year (95% c.i. 0.042 to 0.101), P < 0.001) and Self-Care (0.039/year (95% c.i. 0.018 to 0.061), P < 0.001) in both sexes and Pain/Discomfort in women (0.069/year (95% c.i. 0.020 to 0.118), P = 0.005). For 6 weeks after endovascular stent grafting, there was a significant impairment in Self-Care (0.214 (95% c.i. 0.112 to 0.316), P < 0.001) and (for women only) in Usual Activities (0.625 (95% c.i. 0.338 to 0.911), P < 0.001), which then returned to pre-endovascular stent grafting levels. Six weeks after open surgical repair, the impairment in health-related quality of life was greater (Mobility 0.492 (95% c.i. 0.314 to 0.669), Self-Care 0.474 (95% c.i. 0.364 to 0.583), Usual Activities 1.469 (95% c.i. 1.042 to 1.896), and Pain/Discomfort 0.561 (95% c.i. 0.363 to 0.760), all P < 0.001) and took longer to return to pre-open surgical repair levels, partly due to increased complications and longer hospitalization. Anxiety/Depression decreased after open surgical repair (−0.214 (95% c.i. −0.326 to −0.101), P < 0.001). Age, sex, frailty, smoking, New York Heart Association class, and chronic obstructive pulmonary disease were significantly associated with health-related quality of life. Conclusion: Without intervention, health-related quality of life declines as age increases. Changes in health-related quality of life should contribute to surgical treatment decision-making. Understanding changes in health-related quality of life before and after endovascular stent grafting and open surgical repair can aid treatment decision-making. For 6 weeks after endovascular stent grafting, there was a significant impairment in Self-Care (0.214 (95% c.i. 0.112 to 0.316), P < 0.001) and (for women only) in Usual Activities (0.625 (95% c.i. 0.338 to 0.911), P < 0.001), which then returned to pre-endovascular stent grafting levels. Six weeks after open surgical repair, the impairment in health-related quality of life was greater (Mobility 0.492 (95% c.i. 0.314 to 0.669), Self-Care 0.474 (95% c.i. 0.364 to 0.583), Usual Activities 1.469 (95% c.i. 1.042 to 1.896), and Pain/Discomfort 0.561 (95% c.i. 0.363 to 0.760), all P < 0.001) and took longer to return to pre-open surgical repair levels. Anxiety/Depression decreased after open surgical repair (−0.214 (95% c.i. −0.326 to −0.101), P < 0.001). [ABSTRACT FROM AUTHOR]

Background: Eye-tracking technology could be used to study human factors during teamwork. Objectives: This work aimed to compare the visual attention (VA) of a team member acting as both a team leader and managing the airway, compared to a team member performing the focused task of managing the airway in the presence of a dedicated team leader. This work also aimed to report differences in team performance, behavioural skills, and workload between the two groups using validated tools. Methods: We conducted a simulation-based, pilot randomised controlled study. The participants included were volunteer paediatric trainees, nurse practitioners, and neonatal nurses. Three teams consisting of four team members were formed. Each team participated in two identical neonatal resuscitation simulation scenarios in a random order, once with and once without a team leader. Using a commercially available eye-tracking device, we analysed VA regarding attention to (1) a manikin, (2) a colleague, and (3) a monitor. Only the trainee who was the airway operator would wear eye-tracking glasses in both simulations. Results: In total, 6 simulation scenarios and 24 individual role allocations were analysed. Participants in a no-team-leader capacity had a greater number of total fixations on manikin and monitors, though this was not significant. There were no significant differences in team performance, behavioural skills, and individual workload. Physical demand was reported as significantly higher by participants in the group without a team leader. During debriefing, all the teams expressed their preference for having a dedicated team leader. Conclusion: In our pilot study using low-cost technology, we could not demonstrate the difference in VA with the presence of a team leader. [ABSTRACT FROM AUTHOR]

Falls are a major concern for people with Parkinson's disease (PwPD), but accurately assessing real-world fall risk beyond the clinic is challenging. Contemporary technologies could enable the capture of objective and high-resolution data to better inform fall risk through measurement of everyday factors (e.g., obstacles) that contribute to falls. Wearable inertial measurement units (IMUs) capture objective high-resolution walking/gait data in all environments but are limited by not providing absolute clarity on contextual information (i.e., obstacles) that could greatly influence how gait is interpreted. Video-based data could compliment IMU-based data for a comprehensive free-living fall risk assessment. The objective of this study was twofold. First, pilot work was conducted to propose a novel artificial intelligence (AI) algorithm for use with wearable video-based eye-tracking glasses to compliment IMU gait data in order to better inform free-living fall risk in PwPD. The suggested approach (based on a fine-tuned You Only Look Once version 8 (YOLOv8) object detection algorithm) can accurately detect and contextualize objects (mAP50 = 0.81) in the environment while also providing insights into where the PwPD is looking, which could better inform fall risk. Second, we investigated the perceptions of PwPD via a focus group discussion regarding the adoption of video technologies and AI during their everyday lives to better inform their own fall risk. This second aspect of the study is important as, traditionally, there may be clinical and patient apprehension due to ethical and privacy concerns on the use of wearable cameras to capture real-world video. Thematic content analysis was used to analyse transcripts and develop core themes and categories. Here, PwPD agreed on ergonomically designed wearable video-based glasses as an optimal mode of video data capture, ensuring discreteness and negating any public stigma on the use of research-style equipment. PwPD also emphasized the need for control in AI-assisted data processing to uphold privacy, which could overcome concerns with the adoption of video to better inform IMU-based gait and free-living fall risk. Contemporary technologies (wearable video glasses and AI) can provide a holistic approach to fall risk that PwPD recognise as helpful and safe to use. [ABSTRACT FROM AUTHOR]

Background: Repair of thoracic aortic aneurysms with either endovascular repair (TEVAR) or open surgical repair (OSR) represents major surgery, is costly and associated with significant complications. The aim of this study was to establish accurate costs of delivering TEVAR and OSR in a cohort of UK NHS patients suitable for open and endovascular treatment for the whole treatment pathway from admission and to discharge and 12-month follow-up. Methods: A prospective study of UK NHS patients from 30 NHS vascular/cardiothoracic units in England aged ≥18, with distal arch/descending thoracic aortic aneurysms (CTAA) was undertaken. A multicentre prospective cost analysis of patients (recruited March 2014–July 2018, follow-up until July 2019) undergoing TEVAR or OSR was performed. Patients deemed suitable for open or endovascular repair were included in this study. A micro-costing approach was adopted. Results: Some 115 patients having undergone TEVAR and 35 patients with OSR were identified. The mean (s.d.) cost of a TEVAR procedure was higher £26 536 (£9877) versus OSR £17 239 (£8043). Postoperative costs until discharge were lower for TEVAR £7484 (£7848) versus OSR £28 636 (£23 083). Therefore, total NHS costs from admission to discharge were lower for TEVAR £34 020 (£14 301), versus OSR £45 875 (£43 023). However, mean NHS costs for 12 months following the procedure were slightly higher for the TEVAR £5206 (£11 585) versus OSR £5039 (£11 994). Conclusions: Surgical procedure costs were higher for TEVAR due to device costs. Total in-hospital costs were higher for OSR due to longer hospital and critical care stay. Follow-up costs over 12 months were slightly higher for TEVAR due to hospital readmissions. Detailed micro-costing of endovascular stent grafting (TEVAR) and open surgical repair (OSR) in a cohort of UK NHS patients for whole of treatment pathway up to 12 months follow-up. Overall costs are higher for OSR, driven by length of stay and critical care post-procedure, compared to TEVAR, with costs driven by stent graft devices. These detailed micro-costing estimates exceed current NHS tariffs for reimbursement. [ABSTRACT FROM AUTHOR]

• Free-living inertial-based gait assessment to inform fall risk is limited. • Wearable video glasses could help better inform free-living gait assessment. • AI-based computer video methods could enable automated and ethical video analysis. • Computer vision can provide descriptive information on free-living environments. Contemporary research to better understand free-living fall risk assessment in Parkinson's disease (PD) often relies on the use of wearable inertial-based measurement units (IMUs) to quantify useful temporal and spatial gait characteristics (e.g., step time, step length). Although use of IMUs is useful to understand some intrinsic PD fall-risk factors, their use alone is limited as they do not provide information on extrinsic factors (e.g., obstacles). Here, we update on the use of ergonomic wearable video-based eye-tracking glasses coupled with AI-based computer vision methodologies to provide information efficiently and ethically in free-living home-based environments to better understand IMU-based data in a small group of people with PD. The use of video and AI within PD research can be seen as an evolutionary step to improve methods to understand fall risk more comprehensively. [ABSTRACT FROM AUTHOR]