1,293 research outputs found

    The Rate, Causes and Consequences of Home Closures

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    One of the attributes of a mixed economy of care is that inevitably some homes will go out of business, with consequent costs for the individuals involved and the regulating authorities. However, the rise in home closures during recent years has given rise to concerns about the capacity of the care home sector and the effects on current residents. This report describes the results of the first phase of a study on the causes, processes and consequences of home closure. A survey of registration and inspection (R&I) units was conducted to identify rates of closure, the proportion of closures that were due to business reasons, changes in registration, the consequences for supply and the views of unit managers. A follow up telephone interview was conducted with those units that covered areas included in a 1996 survey of homes. This interview was used to collect more detailed information about the two most recent closures

    The Changing Landscape of Residential Care: Care Homes and Alternative Forms of Housing with Care

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    This thesis draws together a series of publications that were based on research studies conducted between 1981 and 2011, covering care homes and alternative forms of housing with care. The majority of the studies were funded by the Department of Health or its predecessors, and were aimed at responding to policy issues, particularly for local authority grant funding. However, the funding provided the opportunity to collect information for broader purposes, and a central feature linking the studies was the collection, as far as possible, of consistent information about the characteristics of residents over time. The thesis includes 12 pieces of work, based on information collected in ten studies, and illustrates the changes in care home provision from 1981 onwards, and the potential role of alternative forms of housing with care. The aim of the thesis is to explore the following themes: the changing role of care homes and the development of the independent sector, particularly the private sector; factors associated with care home costs; changes in the relative role of residential and nursing homes, including changes in the characteristics of residents over time; changes in the quality of provision; the impact of care home closures; provision for self-funders and the expectations of residents; and the development of alternative forms of housing with care, and the degree to which specialised housing can provide an alternative to residential care. Care homes in the UK provide around 470,000 places and account for over half the expenditure on social care for older people in England. However, information about care facilities and residents is very limited. The papers presented here aimed to fill some of the gaps in understanding residential care and possible alternatives by making use of data collected in a unique series of related research studies conducted over a period of 30 years

    Quantification of the measurement error associated with in situ measurements of water absorption and attenuation using the AC-9 instrument

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    Remote sensing has become a major resource for the monitoring of the concentrations of suspended and dissolved particulates in a water body. Measurement of the characteristics of the water body being analysed is a requirement to correctly calculate the concentrations of the particulates. The Inherent Optical Properties of a water body are those characteristics that affect the path of a photon. They are caused by interaction of photons with dissolved and particulate matter. The properties that are of importance for measurements are absorption and attenuation with measurements carried out on water samples to quantify the effects these properties have on light within the sample. The measurement process, due to the effects of scattering contains errors when determining the coefficient of each property. The aim of this project is to quantify the errors and determine the error drivers in the measurement of the IOPs with the WETLabs AC-9 resulting in a correction procedure. This will be carried out by evaluating a simulated dataset generated by an AC-9 instrument in SimulO. The results of the simulation analysis found that for measurements of the attenuation coefficient the backscatter ratio and absorption formed the primary drivers of the error, with the backscatter ratio determined as the primary error driver. The absorption tube was determined to be a complex function of scattering, absorption and the backscatter ratio. The correction method generated utilises a small amount of external data to determine the error factor for measured attenuation and absorption. The error factor is used to correct the measured coefficients to ‘true’ values

    Geologic Atlas of the United States: Scotts Bluff Folio Nebraska

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    Explanation The Topographic Map The Geologic Map Description of the Scotts Bluff Quadrangle Geography Geology Stratigraphy Eocene Period Neocene Period Pleistocene Period Pre-Eocene Rocks Brief Geological History of the Central Great Plains Region Economic Geology Underground WAters Irrigation Volcanic Ash Ages of Rocks Topographic Sheet Areal Geology Sheet Columnar Section Sheet Illustration Shee

    Geologic Atlas of the United States: Scotts Bluff Folio Nebraska

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    Explanation The Topographic Map The Geologic Map Description of the Scotts Bluff Quadrangle Geography Geology Stratigraphy Eocene Period Neocene Period Pleistocene Period Pre-Eocene Rocks Brief Geological History of the Central Great Plains Region Economic Geology Underground WAters Irrigation Volcanic Ash Ages of Rocks Topographic Sheet Areal Geology Sheet Columnar Section Sheet Illustration Shee

    Geologic Atlas of the United States: Scotts Bluff Folio Nebraska

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    Explanation The Topographic Map The Geologic Map Description of the Scotts Bluff Quadrangle Geography Geology Stratigraphy Eocene Period Neocene Period Pleistocene Period Pre-Eocene Rocks Brief Geological History of the Central Great Plains Region Economic Geology Underground WAters Irrigation Volcanic Ash Ages of Rocks Topographic Sheet Areal Geology Sheet Columnar Section Sheet Illustration Shee

    Financing Long-Term Care for Elderly People

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    Last year’s report of the Royal Commission on Long Term Care (1) and the expected Government response have prompted fresh interest in the debate on how to fund long-term care. To inform this debate the Personal Social Services Research Unit (PSSRU) has conducted a study, funded by the Department of Health, of long-term care demand and finance. This has involved the construction of a computer model to make projections of likely demand and expenditures to 2031. This article describes the model of long-term care demand and expenditure developed by the PSSRU. It then presents some of the results obtained and sensitivity analysis around them

    Future demand for long-term care, 2002 to 2041: projections of demand for long-term care for older people in England

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    The financing of long-term care raises a great many questions. How many older people are likely to require long-term care services in the coming decades? How much are these services likely to cost? Will the cost to public funds prove affordable? Who should pay? How should costs be divided between public expenditure and private sources of finance? In order to address these issues, reliable projections are needed of future demand for long-term care and future long-term care expenditure. This paper presents projections of demand for long-term care for older people in England to 2041 and associated future expenditure. The projections were produced using an updated and expanded version of the Personal Social Services Research Unit’s (PSSRU) long-term care projections model. The version of the model used here has a base year of 2002 and incorporates the 2004-based official population projections. The first part of the paper describes the PSSRU long-term care finance research programme and recent associated projects. The second part of the paper describes the updated and expanded PSSRU long-term care projections model, including details of the data used in this updated version. The third part presents a set of base case assumptions and the projections obtained using those assumptions. The fourth part investigates the sensitivity of the projections to changes in those assumptions. Section five discusses the findings. A final section sets out some conclusions
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