Stroke survivors’ perceptions of their sedentary behaviours three months after stroke

Purpose:Sedentary behaviour is any waking behaviour in sitting, lying or reclining postures with low energy expenditure. High sedentary behaviour levels, common after stroke, are associated with poor health and higher levels of mobility disability. The aim of this study was to undertake a behavioural diagnosis of sedentary behaviour in the early phase after stroke to inform interventions that may reduce sedentary behaviour and associated disability. Methods and materials:Independently mobile stroke survivors were interviewed three months after stroke. The topic guide was informed by the central layer of the Behaviour Change Wheel to explore three components: capability, opportunity and motivation. This model recognises that behaviour is the consequence of an interacting system of these components. Interviews were transcribed verbatim and analysed using The Framework Method. Results:Thirty one people were interviewed (66.7 years; 16 male). The perception of diminished capability to reduce sedentary behaviour due to physical tiredness/fatigue, and pain/discomfort acting as both a motivator and inhibitor to movement, were discussed. Environmental barriers and the importance of social interaction were highlighted. Perceived motivation to reduce sedentary behaviour was influenced by enjoyment of sedentary behaviours, fear of falling and habitual nature of sedentary behaviours. Conclusions:This information will inform evidence-based sedentary behaviour interventions after stroke

Fall prediction using behavioural modelling from sensor data in smart homes.

The number of methods for identifying potential fall risk is growing as the rate of elderly fallers continues to rise in the UK. Assessments for identifying risk of falling are usually performed in hospitals and other laboratory environments, however these are costly and cause inconvenience for the subject and health services. Replacing these intrusive testing methods with a passive in-home monitoring solution would provide a less time-consuming and cheaper alternative. As sensors become more readily available, machine learning models can be applied to the large amount of data they produce. This can support activity recognition, falls detection, prediction and risk determination. In this review, the growing complexity of sensor data, the required analysis, and the machine learning techniques used to determine risk of falling are explored. The current research on using passive monitoring in the home is discussed, while the viability of active monitoring using vision-based and wearable sensors is considered. Methods of fall detection, prediction and risk determination are then compared

Quantifying cognitive and mortality outcomes in older patients following acute illness using epidemiological and machine learning approaches

Introduction: Cognitive and functional decompensation during acute illness in older people are poorly understood. It remains unclear how delirium, an acute confusional state reflective of cognitive decompensation, is contextualised by baseline premorbid cognition and relates to long-term adverse outcomes. High-dimensional machine learning offers a novel, feasible and enticing approach for stratifying acute illness in older people, improving treatment consistency while optimising future research design. Methods: Longitudinal associations were analysed from the Delirium and Population Health Informatics Cohort (DELPHIC) study, a prospective cohort ≥70 years resident in Camden, with cognitive and functional ascertainment at baseline and 2-year follow-up, and daily assessments during incident hospitalisation. Second, using routine clinical data from UCLH, I constructed an extreme gradient-boosted trees predicting 600-day mortality for unselected acute admissions of oldest-old patients with mechanistic inferences. Third, hierarchical agglomerative clustering was performed to demonstrate structure within DELPHIC participants, with predictive implications for survival and length of stay. Results: i. Delirium is associated with increased rates of cognitive decline and mortality risk, in a dose-dependent manner, with an interaction between baseline cognition and delirium exposure. Those with highest delirium exposure but also best premorbid cognition have the “most to lose”. ii. High-dimensional multimodal machine learning models can predict mortality in oldest-old populations with 0.874 accuracy. The anterior cingulate and angular gyri, and extracranial soft tissue, are the highest contributory intracranial and extracranial features respectively. iii. Clinically useful acute illness subtypes in older people can be described using longitudinal clinical, functional, and biochemical features. Conclusions: Interactions between baseline cognition and delirium exposure during acute illness in older patients result in divergent long-term adverse outcomes. Supervised machine learning can robustly predict mortality in in oldest-old patients, producing a valuable prognostication tool using routinely collected data, ready for clinical deployment. Preliminary findings suggest possible discernible subtypes within acute illness in older people

Assessment of frailty and quality of life in octogenarians with symptomatic coronary artery disease : the FRAIL HEART study

BACKGROUND:Symptomatic coronary artery disease (CAD) is an increasing problem for older adults, however little is known about the relationship between frailty and health outcomes.PURPOSE:To determine the prevalence of, and relationship between frailty, quality of life (QoL) and major adverse cardiac events (MACE) in older adults with CAD.METHODS:A narrative literature review confirmed a knowledge gap. We therefore conducted an exploratory, prospective observational study of in- or out-patients (≥80years) with symptomatic CAD recruited between June 2016 and January 2017. Participants were evaluated for frailty (Fried Frailty Phenotype, Edmonton Frailty scale), quality of life (QoL; SF-12), clinico-demographic characteristics, including treatments received. Data were collected at baseline and 4 months and descriptive statistics applied. Regression techniques were used to explore relationships between variables.RESULTS:Consecutive participants (n=150; mean age 83.7±3.2 years; 99 (66%) men; acute coronary syndrome 82 (54.7%)) were treated with: PCI (51; 34%); CABG (15;10%); medical (84; 56%). About one quarter were frail (26% EFS; 28% FFP). Frailty was inversely related to SF-12 (PCS 30.5±7.1 vs 43.5±7.6, p=0.005, MCS 47.4±i12.8 vs 57.1±6.4, p=0.003) and directly related to comorbidity (7.5±2.4 vs 5.9±1.6, p=0.005) at baseline. Follow up at 114 days (50-243) showed overall MACE (24.7%) and poorer survival amongst frail participants (Dead/frail 50.0% versus alive/frail 26.2%, p=0.002).CONCLUSIONS:About one quarter of older adults with CAD have frailty. Our data show that frailty is inversely related with QoL and clinical outcomes. This data suggest that frailty is an important therapeutic target in this age group. A larger cohort is needed to confirm these exploratory findings

Enhanced Living Environments

This open access book was prepared as a Final Publication of the COST Action IC1303 “Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE)”. The concept of Enhanced Living Environments (ELE) refers to the area of Ambient Assisted Living (AAL) that is more related with Information and Communication Technologies (ICT). Effective ELE solutions require appropriate ICT algorithms, architectures, platforms, and systems, having in view the advance of science and technology in this area and the development of new and innovative solutions that can provide improvements in the quality of life for people in their homes and can reduce the financial burden on the budgets of the healthcare providers. The aim of this book is to become a state-of-the-art reference, discussing progress made, as well as prompting future directions on theories, practices, standards, and strategies related to the ELE area. The book contains 12 chapters and can serve as a valuable reference for undergraduate students, post-graduate students, educators, faculty members, researchers, engineers, medical doctors, healthcare organizations, insurance companies, and research strategists working in this area

Exercise Prescription in Cardiac Rehabilitation

The use of ingredients obtained from waste is becoming a necessity to reduce worldwide pollution, saving both environment and earth biodiversity. In fact, according to Fritjof Capra “The survival of humanity will depend from our ecological knowledge, the capacity of understanding the fundamentals of ecology and to live accordingly with them”. Please see the complete preface attached

Home-based health promotion for older people with mild frailty: the HomeHealth intervention development and feasibility RCT.

BACKGROUND: Mild frailty or pre-frailty is common and yet is potentially reversible. Preventing progression to worsening frailty may benefit individuals and lower health/social care costs. However, we know little about effective approaches to preventing frailty progression. OBJECTIVES: (1) To develop an evidence- and theory-based home-based health promotion intervention for older people with mild frailty. (2) To assess feasibility, costs and acceptability of (i) the intervention and (ii) a full-scale clinical effectiveness and cost-effectiveness randomised controlled trial (RCT). DESIGN: Evidence reviews, qualitative studies, intervention development and a feasibility RCT with process evaluation. INTERVENTION DEVELOPMENT: Two systematic reviews (including systematic searches of 14 databases and registries, 1990-2016 and 1980-2014), a state-of-the-art review (from inception to 2015) and policy review identified effective components for our intervention. We collected data on health priorities and potential intervention components from semistructured interviews and focus groups with older people (aged 65-94 years) (n = 44), carers (n = 12) and health/social care professionals (n = 27). These data, and our evidence reviews, fed into development of the 'HomeHealth' intervention in collaboration with older people and multidisciplinary stakeholders. 'HomeHealth' comprised 3-6 sessions with a support worker trained in behaviour change techniques, communication skills, exercise, nutrition and mood. Participants addressed self-directed independence and well-being goals, supported through education, skills training, enabling individuals to overcome barriers, providing feedback, maximising motivation and promoting habit formation. FEASIBILITY RCT: Single-blind RCT, individually randomised to 'HomeHealth' or treatment as usual (TAU). SETTING: Community settings in London and Hertfordshire, UK. PARTICIPANTS: A total of 51 community-dwelling adults aged ≥ 65 years with mild frailty. MAIN OUTCOME MEASURES: Feasibility - recruitment, retention, acceptability and intervention costs. Clinical and health economic outcome data at 6 months included functioning, frailty status, well-being, psychological distress, quality of life, capability and NHS and societal service utilisation/costs. RESULTS: We successfully recruited to target, with good 6-month retention (94%). Trial procedures were acceptable with minimal missing data. Individual randomisation was feasible. The intervention was acceptable, with good fidelity and modest delivery costs (£307 per patient). A total of 96% of participants identified at least one goal, which were mostly exercise related (73%). We found significantly better functioning (Barthel Index +1.68; p = 0.004), better grip strength (+6.48 kg; p = 0.02), reduced psychological distress (12-item General Health Questionnaire -3.92; p = 0.01) and increased capability-adjusted life-years [+0.017; 95% confidence interval (CI) 0.001 to 0.031] at 6 months in the intervention arm than the TAU arm, with no differences in other outcomes. NHS and carer support costs were variable but, overall, were lower in the intervention arm than the TAU arm. The main limitation was difficulty maintaining outcome assessor blinding. CONCLUSIONS: Evidence is lacking to inform frailty prevention service design, with no large-scale trials of multidomain interventions. From stakeholder/public perspectives, new frailty prevention services should be personalised and encompass multiple domains, particularly socialising and mobility, and can be delivered by trained non-specialists. Our multicomponent health promotion intervention was acceptable and delivered at modest cost. Our small study shows promise for improving clinical outcomes, including functioning and independence. A full-scale individually RCT is feasible. FUTURE WORK: A large, definitive RCT of the HomeHealth service is warranted. STUDY REGISTRATION: This study is registered as PROSPERO CRD42014010370 and Current Controlled Trials ISRCTN11986672. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 21, No. 73. See the NIHR Journals Library website for further project information

Use of a Telerehabilitation Delivery System for Fall Risk Screening

Problem: The Centers for Disease Control and Prevention indicates that falls are the “leading cause of injury death and the most common cause of nonfatal injuries and hospital admission for trauma among people ages 65 and older.”1 Falls can have significant economic consequences to the individual and payer sources. To address these consequences, telerehabilitation was hypothesized to be a suitable supplement for fall screening efforts. Several sources concluded that support for synchronous telerehab was underdeveloped in the literature. Purpose: The purpose of this study was to explore the acceptability, feasibility, reliability, and validity of telehealth-delivered fall screening among community-dwelling older adults. Procedures: This investigation implemented an experimental, quantitative, cross-sectional design employing both pretest-posttest control group and quasi-experimental static group comparisons using non-probability sampling. This study assembled a panel of experts to provide content validation for a survey tool developed to quantify an older adult’s behavioral intension to use and attitudes towards a telerehabilitation delivery system. Seven fall screening tools were investigated for agreement among remote and face-to-face raters, and for comparison with the face-to-face reference standard (Mini-BEST). Results: All three null hypotheses were rejected. Results indicate that a telerehabilitation delivery system is a reliable and valid method of screening and determining fall risk in community-dwelling older adults. This study produced a content validated, internally consistent survey instrument designed to determine attitudes and beliefs about telerehabilitation. An experimental design was able to demonstrate a positive significant change in 4 of 7 survey constructs among the intervention group after exposure to telerehabilitation as compared to post-test controls. Overall, no significant difference was calculated between face-to-face or telerehab raters, and both environments produced equivalency with scoring, fall risk classification, and ability to discern fallers from non-fallers. Results from the telerehab STEADI fall risk conclusions were calculated to be concurrently valid with the face-to-face reference standard screening tool, the Mini-BEST. Conclusions: This investigation expanded the array of remote healthcare delivery options for clinicians and clients. Further investigation in residential and community settings are recommended