Cooperation across multiple healthcare clinics on the cloud

Many healthcare units are creating cloud strategies and mi- gration plans in order to exploit the benefits of cloud based computing. This generally involves collaboration between healthcare specialists and data management researchers to create a new wave of healthcare tech- nology and services. However, in many cases the technology pioneers are ahead of government policies as cloud based storage of healthcare data is not yet permissible in many jurisdictions. One approach is to store anonymised data on the cloud and maintain all identifying data locally. At login time, a simple protocol can be developed to allow clinicians to combine both sets of data for selected patients for the current session. However, the management of o↵-cloud identifying data requires a frame- work to ensure sharing and availability of data within clinics and the ability to share data between users in remote clinics. In this paper, we introduce the PACE healthcare architecture which uses a combination of Cloud and Peer-to-Peer technologies to model healthcare units or clin- ics where o↵-cloud data is accessible to all, and where exchange of data between remote healthcare units is also facilitated

The role of care home fees in the public costs and distributional effects of potential reforms to care home funding for older people in England

In England, Local Authorities (LAs) contribute to the care home fees of two-thirds of care home residents aged 65+ who pass a means test. LAs typically pay fees below those faced by residents excluded from state support. Most proposals for reform of the means test would increase the proportion of residents entitled to state support. If care homes receive the LA fee for more residents, they might increase fees for any remaining self-funders. Alternatively, the LA fee might have to rise. We use two linked simulation models to examine how alternative assumptions on post-reform fees affect projected public costs and financial gains to residents of three potential reforms to the means test. Raising the LA fee rate to maintain income per resident would increase the projected public cost of the reforms by between 22% and 72% in the base year. It would reduce the average gain to care home residents by between 8% and 12%. Raising post-reform fees for remaining self-funders or requiring pre-reform self-funders to meet the difference between the LA and self-funder fees, reduces the gains to residents by 28-37%. For one reform, residents in the highest income quintile would face losses if the self-funder fee rises. © 2012 Cambridge University Press

What are the current and projected future cost and health-related quality of life implications of scaling up cognitive stimulation therapy?

Objectives: Cognitive stimulation therapy (CST) is one of the few non-pharmacological interventions for people living with dementia shown to be effective and cost-effective. What are the current and future cost and health-related quality of life implications of scaling-up CST to eligible new cases of dementia in England? // Methods/design: Data from trials were combined with microsimulation and macrosimulation modelling to project future prevalence, needs and costs. Health and social costs, unpaid care costs and quality-adjusted life years (QALYs) were compared with and without scaling-up of CST and follow-on maintenance CST (MCST). // Results: Scaling-up group CST requires year-on-year increases in expenditure (mainly on staff), but these would be partially offset by reductions in health and care costs. Unpaid care costs would increase. Scaling-up MCST would also require additional expenditure, but without generating savings elsewhere. There would be improvements in general cognitive functioning and health-related quality of life, summarised in terms of QALY gains. Cost per QALY for CST alone would increase from £12,596 in 2015 to £19,573 by 2040, which is below the threshold for cost-effectiveness used by the National Institute for Health and Care Excellence (NICE). Cost per QALY for CST and MCST combined would grow from £19,883 in 2015 to £30,906 by 2040, making it less likely to be recommended by NICE on cost-effectiveness grounds. // Conclusions: Scaling-up CST England for people with incident dementia can improve lives in an affordable, cost-effective manner. Adding MCST also improves health-related quality of life, but the economic evidence is less compelling

A structured review of long-term care demand modelling

Long-term care (LTC) represents a significant and substantial proportion of healthcare spends across the globe. Its main aim is to assist individuals suffering with more or more chronic illnesses, disabilities or cognitive impairments, to carry out activities associated with daily living. Shifts in several economic, demographic and social factors have raised concerns surrounding the sustainability of current systems of LTC. Substantial effort has been put into modelling the LTC demand process itself so as to increase understanding of the factors driving demand for LTC and its related services. Furthermore, such modeling efforts have also been used to plan the operation and future composition of the LTC system itself. The main aim of this paper is to provide a structured review of the literature surrounding LTC demand modeling and any such industrial application, whilst highlighting any potential direction for future researchers

Estimating the number of people living with dementia at different stages of the condition in India: A Delphi process

Introduction Numerous studies have previously estimated the dementia prevalence in India. However, as these estimates use different methodologies and sampling strategies, generating definitive prevalence estimates can be difficult. Methods A Delphi process involving eight clinical and academic experts provided prevalence estimates of dementia within India, split by sex and age. The experts were also asked to estimate the number of people potentially living at different stages of the condition. A priori criteria were used to ascertain the point in which consensus was achieved. Results Our consensus estimates generated a dementia prevalence of 2.8% (95% CI = 1.9 to 3.6) for those aged 60 years and above in India. Consensus was achieved across age and sex prevalence estimates, with the exception of one (females aged 60–64). Our experts estimated that 42.9% of people living with dementia in India had a mild severity. Conclusions The findings indicate that there could be approximately 3.9 million people living with dementia in India, of which 1.7 million could be living with dementia of mild severity. Such estimates can better help researchers and policy makers to estimate the true cost and impact of dementia in India and can inform resource allocation decisions

Unmet social care needs of people living with and beyond cancer: prevalence and predictors from an English longitudinal survey

Objectives: This study estimates the prevalence of unmet social care needs of people over 50 living in England with cancer and the effect of cancer on unmet needs. Methods: We used data from the English Longitudinal Study of Ageing. We estimated the mean, standard deviation and 95% CI of the prevalence of unmet social care needs among people with cancer. Logistic regression analysis with individual random effects was used to estimate the effect of cancer on unmet needs controlling for other determinants. Pain measures were included stepwise in the regression to estimate their mediating effect. Results: The prevalence rate of unmet social care needs among people living with cancer is 9% (SD=0.29; 95% CI: 8.3-10) compared to 6% (SD=0.24; 95% CI: 6.1-6.5) among people without cancer. People with cancer have significantly higher odds of having unmet needs by a factor of 1.44 (95% CI: 1.20-1.72), after controlling for the effect of other characteristics. Adding pain measures reduces the effect of cancer to a factor of 1.36 (95% CI: 1.14-1.64) in the odds of unmet needs but still remains statistically significant. Conclusions: A more integrated approach to cancer care is more likely to address the high level of unmet needs and consequent adverse implications

Is late-life dependency increasing or not? A comparison of the Cognitive Function and Ageing Studies (CFAS)

Background: Little is known about how dependency levels have changed between generational cohorts of older people. We estimated years lived in different care states at age 65 in 1991 and 2011 and new projections of future demand for care. Methods: Two population-based studies of older people in defined geographical areas conducted two decades apart (the Cognitive Function and Ageing Studies) provided prevalence estimates of dependency in four states: high (24-hour care); medium (daily care); low (less than daily); independent. Years in each dependency state were calculated by Sullivan’s method. To project future demand, the proportions in each dependency state (by age group and sex) were applied to the 2014 England population projections. Findings: Between 1991 and 2011 there were significant increases in years lived from age 65 with low (men:1·7 years, 95%CI 1·0-2·4; women:2·4 years, 95%CI 1·8-3·1) and high dependency (men:0·9 years, 95%CI 0·2-1·7; women:1·3 years, 95%CI 0·5-2·1). The majority of men’s extra years of life were independent (36%) or with low dependency (36%) whilst for women the majority were spent with low dependency (58%), only 5% being independent. There were substantial reductions in the proportions with medium and high dependency who lived in care homes, although, if these dependency and care home proportions remain constant in the future, further population ageing will require an extra 71,000 care home places by 2025. Interpretation: On average older men now spend 2.4 years and women 3.0 years with substantial care needs (medium or high dependency), and most will live in the community. These findings have considerable implications for older people’s families who provide the majority of unpaid care, but the findings also supply valuable new information for governments and care providers planning the resources and funding required for the care of their future ageing populations

Dementia in South Africa: A Situational Analysis

There is a need in South Africa to understand the status of available care and support to strengthen responses to dementia. This study provides a situational analysis of the current provisions of health, care and support for older persons, people living with dementia and their families in South Africa. It is a first step towards describing the landscape of needs and services available, and provides an evidence base to inform priority-setting for strengthening responses to dementia in South Africa. This situational analysis was conducted in three phases: (1) a desk review guided by a comprehensive topic guide which includes the WHO’s Global Dementia Observatory indicators; (2) multi-sectoral stakeholder interviews to verify the secondary sources used in the desk review, and to identify gaps and opportunities in policy and service provisions; and (3) a SWOT-analysis examining the strengths, weaknesses, opportunities and threats in current care and support provisions in South Africa. Our findings highlight the gaps and opportunities with current service provision and show how structural factors create barriers to diagnosis, support, and care. There is an urgent need for intersectoral policy responses to support and strengthen current health, social care, and long-term support systems so that people living with dementia and their families can live and age well. This paper forms part of a larger study on strengthening responses to dementia (The STRIDE project)

Means Testing Adult Social Care in England

With the number of U.K. citizens aged 75 and over doubling to 10 million by 2040, social care funding remains a key policy challenge. The Care Act 2014 included reforms designed to make care funding sustainable, by establishing a new level for what individuals and the state will pay in England. However, the Government has postponed their introduction until 2020 amid concerns about cost. This paper uses the delay to investigate the current and proposed means testing formulae and finds fault with both. It proposes an alternative formula called the ‘‘preferred formula’’, which it argues is fairer and does not require capital limits. It further suggests that the proposed life-time cap care on costs is unnecessary since the preferred formula contains a mechanism that automatically limits asset depletion. Using examples, the research tackles an issue with all means testing which is that it disincentivises saving, so preventing more money entering the care system

MODEM: a comprehensive approach to modelling outcome and costs impacts of interventions for dementia. Protocol paper

Background The MODEM project (A comprehensive approach to MODelling outcome and costs impacts of interventions for DEMentia) explores how changes in arrangements for the future treatment and care of people living with dementia, and support for family and other unpaid carers, could result in better outcomes and more efficient use of resources. Methods MODEM starts with a systematic mapping of the literature on effective and (potentially) cost-effective interventions in dementia care. Those findings, as well as data from a cohort, will then be used to model the quality of life and cost impacts of making these evidence-based interventions more widely available in England over the period from now to 2040. Modelling will use a suite of models, combining microsimulation and macrosimulation methods, modelling the costs and outcomes of care, both for an individual over the life-course from the point of dementia diagnosis, and for individuals and England as a whole in a particular year. Project outputs will include an online Dementia Evidence Toolkit, making evidence summaries and a literature database available free to anyone, papers in academic journals and other written outputs, and a MODEM Legacy Model, which will enable local commissioners of services to apply the model to their own populations. Discussion Modelling the effects of evidence-based cost-effective interventions and making this information widely available has the potential to improve the health and quality of life both of people with dementia and their carers, while ensuring that resources are used efficiently