BackgroundThe Comprehensive Geriatric Assessment (CGA) is a multidisciplinary process that determines a frail older person’s medical, functional, psychological and social capability to ensure that they have a co-ordinated plan for treatment and follow-up.ObjectivesTo improve our understanding of the effectiveness, cost-effectiveness and implementation of the CGA across hospital and hospital-at-home settings.MethodsWe used a variety of methods. We updated a Cochrane review of randomised trials of the CGA in hospital for older people aged ≥ 65 years, conducted a national survey of community CGA, analysed data from three health boards using propensity score matching (PSM) and regression analysis, conducted a qualitative study and used a modified Delphi method.ResultsWe included 29 trials recruiting 13,766 participants in the Cochrane review of the CGA. Older people admitted to hospital who receive the CGA are more likely to be living at home at 3–12 months’ follow-up [relative risk (RR) 1.06, 95% confidence interval (CI) 1.01 to 1.10] (high certainty). The probability that the CGA would be cost-effective at a £20,000 ceiling ratio for quality-adjusted life-years (QALYs), life-years (LYs) and LYs living at home was 0.50, 0.89, and 0.47, respectively (low-certainty evidence). After PSM and regression analysis comparing CGA hospital with CGA hospital at home, we found that the health-care cost (from admission to 6 months after discharge) in site 1 was lower in hospital at home (ratio of means 0.82, 95% CI 0.76 to 0.89), in site 2 there was little difference (ratio of means 1.00, 95% CI 0.92 to 1.09) and in site 3 it was higher (ratio of means 1.15, 95% CI 0.99 to 1.33). Six months after discharge (excluding the index admission), the ratio of means cost in site 1 was 1.27 (95% CI 1.14 to 1.41), in site 2 was 1.09 (95% CI 0.95 to 1.24) and in site 3 was 1.70 (95% CI 1.40 to 2.07). At 6 months’ follow-up (excluding the index admission), there may be an increased risk of mortality (adjusted) in the three hospital-at-home cohorts (site 1: RR 1.09, 95% CI 1.00 to 1.19; site 2: RR 1.29, 95% CI 1.15 to 1.44; site 3: RR 1.27, 95% CI 1.06 to 1.54). The qualitative research indicates the importance of relational aspects of health care, incorporating caregivers’ knowledge in care planning, and a lack of clarity about the end of an episode of health care. Core components that should be included in CGA focus on functional, physical and mental well-being, medication review and a caregiver’s ability to care.LimitationsThe risk of residual confounding limits the certainty of the findings from the PSM analysis; a second major limitation is that the research plan did not include an investigation of social care or primary care.ConclusionsThe CGA is an effective way to organise health care for older people in hospital and may lead to a small increase in costs. There may be an increase in cost and the risk of mortality in the population who received the CGA hospital at home compared with those who received the CGA in hospital; randomised evidence is required to confirm or refute this. Caregiver involvement in the CGA process could be strengthened.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

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Background hospital level healthcare in the home guided by comprehensive geriatric assessment (CGA) might provide a less costly alternative to hospitalisation for older people. Objective to determine the cost-effectiveness of CGA admission avoidance hospital at home (HAH) compared with hospital admission. Design/intervention a cost-effectiveness study alongside a randomised trial of CGA in an admission avoidance HAH setting, compared with admission to hospital. Participants/setting older people considered for a hospital admission in nine locations across the UK were randomised using a 2:1 randomisation schedule to admission avoidance HAH with CGA (N = 700), or admission to hospital with CGA when available (N = 355). Measurements quality adjusted life years, resource use and costs at baseline and 6 months; incremental cost-effectiveness ratios were calculated. The main analysis used complete cases. Results adjusting for baseline covariates, HAH was less costly than admission to hospital from a health and social care perspective (mean −£2,265, 95% CI: −4,279 to −252), and remained less costly with the addition of informal care costs (mean difference −£2,840, 95% CI: −5,495 to −185). There was no difference in quality adjusted survival. Using multiple imputation for missing data, the mean difference in health and social care costs widened to −£2,458 (95% CI: −4,977 to 61) and societal costs remained significantly lower (−£3,083, 95% CI: −5,880 to −287). There was little change to quality adjusted survival. Conclusions CGA HAH is a cost-effective alternative to admission to hospital for selected older people.

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Stroke is a leading cause of death and disability in developed countries. While both modifiable and non-modifiable risk factors are acknowledged, studies have shown that these may account for just 50% of stroke risk and that other factors, including genetic ones, may be important. Over recent years family history, twin and candidate gene studies have supported this and various mendelian stroke syndromes have now been identified in humans. This article provides an up-to-date summary of the common single gene disorders associated with stroke as a principle manifestation, including their genetic basis, pathogenesis, presentation and suggested management. Often these disorders present with stroke at a young age; this article provides a practical approach to the management and investigation of a young stroke patient.

BackgroundThere is concern that existing models of acute hospital care will become unworkable as the health service admits an increasing number of frail older people with complex health needs, and that there is inadequate evidence to guide the planning of acute hospital level services. We aim to evaluate whether geriatrician-led admission avoidance to hospital at home is an effective alternative to hospital admission.Methods/DesignWe are conducting a multi-site randomised open trial of geriatrician-led admission avoidance hospital at home, compared with admission to hospital. We are recruiting older people with markers of frailty or prior dependence who have been referred to admission avoidance hospital at home for an acute medical event. This includes patients presenting with delirium, functional decline, dependence, falls, immobility or a background of dementia presenting with physical disease. Participants are randomised using a computerised random number generator to geriatrician-led admission avoidance hospital at home or a control group of inpatient admission in a 2:1 ratio in favour of the intervention. The primary endpoint ‘living at home’ (the inverse of death or living in a residential care setting) is measured at 6 months follow-up, and we also collect data on this outcome at 12 months. Secondary outcomes include the incidence of delirium, mortality, new long-term residential care, cognitive impairment, activities of daily living, quality of life and quality-adjusted survival, length of stay, readmission or transfer to hospital. We will conduct a parallel economic evaluation, and a process evaluation that includes an interview study to explore the experiences of patients and carers.DiscussionHealth systems around the world are examining how to provide acute hospital-level care to older adults in greater numbers with a fixed or shrinking hospital resource. This trial is the first large multi-site randomised trial of geriatrician-led admission avoidance hospital at home, and will provide evidence on alternative models of healthcare for older people who require hospital admission.Trial registration ISRCTN60477865: Registered on 10 March 2014. Trial Sponsor: University of Oxford. Version 3.1, 14/06/2016.Electronic supplementary materialThe online version of this article (doi:10.1186/s13063-017-2214-y) contains supplementary material, which is available to authorized users.

the work aims at the optimization of the output feed rate of a Stationary Hook Hopper Feeder so that the best possible set of parameters affecting it can be selected to get the desired output. For this purpose the effect of various parameters on the feeder output is studied. To facilitate the study and detailed analysis, a statistical model is constructed which is used to predict and optimize the performance of the system. Efficient feed rate optimization determines the input variable settings to adjust the feed rate of the feeder according to the consumption of the parts in the next phase of production. The Stationary Hook Hopper Feeder, whose performance is to be studied, consists of a rotating circular plate and a guiding hook fixed at the centre and running up to the periphery of the plate. As the plate rotates, the parts follow the trajectory of the hook, orient themselves and then eventually are delivered through the delivery chute, tangentially to the plate. The factors influencing the feeder's performance include the speed of rotation of the disc, the population of the parts in the hopper and the size of parts to be fed. A series of experiments is performed on the three process parameters to investigate their effect on the feed rate. To study the interaction among the factors a full 23 factorial experiment approach has been adopted using the two basic principles of experimental designreplication and randomization. The process model was formulated based on Analysis of variance (ANOVA) using Minitab® statistical package. The outcome is represented graphically and in the form of empirical model which defines the performance characteristics of the Stationary Hook Hopper Feeder.Index Terms-ANOVA, design of experiments, full factorial design, stationary hook hopper feeder.

Background Evidence is required to guide the redesign of health care for older people who require hospital admission. Objectives We assessed the clinical effectiveness and cost-effectiveness of geriatrician-led admission avoidance hospital at home with comprehensive geriatric assessment, the experiences of older people and their caregivers, and how the services differed. Design A multisite, randomised, open trial of comprehensive geriatric assessment hospital at home, compared with admission to hospital, using a 2 : 1 (hospital at home to hospital) ratio, and a parallel economic and process evaluation. Participants were randomised using a secure online system. Setting Participants were recruited from primary care or acute hospital assessment units from nine sites across the UK. Participants Older people who required hospital admission because of an acute change in health. Intervention Geriatrician-led admission avoidance hospital at home with comprehensive geriatric assessment. Main outcome measures The main outcome, ‘living at home’ (the inverse of death or living in a residential care setting), was measured at 6-month follow-up. Secondary outcomes at 6 months were the incidence of delirium, mortality, new long-term residential care, cognitive impairment, ability to perform activities of daily living, quality-adjusted survival, length of stay and transfer to hospital. Secondary outcomes at 12 months were living at home, new long-term residential care and mortality. Results Participants were allocated to hospital at home (n = 700) or to hospital (n = 355). All reported relative risks (RRs) were adjusted and are reported for hospital at home compared with hospital. There were no significant differences between the groups in the proportions of patients ‘living at home’ at 6 months [528/672 (78.6%) vs. 247/328 (75.3%), RR 1.05, 95% confidence interval (CI) 0.95 to 1.15; p = 0.36] or at 12 months [443/670 (66.1%) vs. 219/325 (67.4%), RR 0.99, 95% CI 0.89 to 1.10; p = 0.80]; mortality at 6 months [114/673 (16.9%) vs. 58/328 (17.7%), RR 0.98, 95% CI 0.65 to 1.47; p = 0.92] or at 12 months [188/670 (28.1%) vs. 82/325 (25.2%), RR 1.14, 95% CI 0.80 to 1.62]; the proportion of patients with cognitive impairment [273/407 (67.1%) vs. 115/183 (62.8%), RR 1.06, 95% CI 0.93 to 1.21; p = 0.36]; or in ability to perform the activities of daily living as measured by the Barthel Index (mean difference 0.24, 95% CI –0.33 to 0.80; p = 0.411; hospital at home, n = 521 patients contributed data; hospital, n = 256 patients contributed data) or Comorbidity Index (adjusted mean difference 0.0002, 95% CI –0.15 to 0.15; p = 0.10; hospital at home, n = 474 patients contributed data; hospital, n = 227 patients contributed data) at 6 months. The varying denominator reflects the number of participants who contributed data to the different outcomes. There was a significant reduction in the RR of living in residential care at 6 months [37/646 (5.7%) vs. 27/311 (8.7%), RR 0.58, 95% CI 0.45 to 0.76; p < 0.001] and 12 months [39/646 (6.0%) vs. 27/311 (8.7%), RR 0.61, 95% CI 0.46 to 0.82; p < 0.001], a significant reduction in risk of delirium at 1 month [10/602 (1.7%) vs. 13/295 (4.4%), RR 0.38, 95% CI 0.19 to 0.76; p = 0.006] and an increased risk of transfer to hospital at 1 month [173/672 (25.7%) vs. 64/330 (19.4%), RR 1.32, 95% CI 1.06 to 1.64; p = 0.012], but not at 6 months [343/631 (54.40%) vs. 171/302 (56.6%), RR 0.95, 95% CI 0.86 to 1.06; p = 0.40]. Patient satisfaction was in favour of hospital at home. An unexpected adverse event that might have been related to the research was reported to the Research Ethics Committee. At 6 months, there was a mean difference in NHS, personal social care and informal care costs (mean difference –£3017, 95% CI –£5765 to –£269), and no difference in quality-adjusted survival. Older people and caregivers played a crucial role in supporting the delivery of health care. In hospital at home this included monitoring a patient’s health and managing transitional care arrangements. Limitations The findings are most applicable to patients referred from an acute hospital assessment unit. Conclusions Comprehensive geriatric assessment hospital at home can provide a cost-effective alternative to hospitalisation for selected older people. Further research that includes a stronger element of carer support might generate evidence to improve health outcomes. Trial registration This trial is registered as ISRCTN60477865. Funding This project was funded by the National Institute for Health Research (NIHR) Health and Social Care Delivery Research programme and will be published in full in Health and Social Care Delivery Research; Vol. 10, No. 2. See the NIHR Journals Library website for further project information.