WHAT’S NEW?


CARE COMPLIANCE AND BEST VALUE


Bathrooms are the most common home adaptation. At least 3/4million households require some form of toilet adaptation, ranging from changing a seat to provision of an additional or suitable WC.


Following the Government announcement of an almost doubling of funding for the Disabled Facilities Grant for 2016/17, and increases to the Better Care Fund, there is new evidence that a bathroom adaptation can strategically deliver best value.


An independent care cost calculator shows that something as simple as adding a toilet lift - the toilet equivalent of a riser recliner chair - will pay for itself in less than eight months, compared to providing care support to help someone go to the toilet. It would reduce likelihood of a fall, potentially saving a further £30,000. The independence and dignity it would deliver would have a positive impact on the recipient’s feeling of wellbeing- a key indicator under Government guidelines.


“Using this strategic, joined-up approach, a comparatively small capital expenditure can deliver major revenue savings,” explained Mark Sadler, Sales Director at Clos-o-Mat, Britain’s leading


TOMORROW’S MENT ’S TODAY


Graham Perry, business unit director of iSite, explains how Big Data has the potential to transform the education sector, to improve the learning environment and informing the Department for Education’s (DfE) investment decisions.


The DfE oversees more than 30,000 educational establishments across the UK and overseas, from children’s centres and nursery schools to academies and sixth form centres. Its estate is vast and with almost one million extra pupils expected to enter the English school system over the next ten years it is only going to increase.


12 | TOMORROW’S FM


Property estates already amount to one of the sector’s largest costs, and with increasing pressure for the condition of the estate to be improved, there is a concern these costs could spiral. However, through the use of big data analytics the DfE has an opportunity to review its estate as a whole.


Those tasked with managing the estate have access to huge volumes of useful information - from the design and layout of classrooms, to pupil attendance records and exam results. Collating all of this information into one central location can help to identify trends. By looking at the square footage and layout of a classroom, the number of pupils it accommodates and comparing this with attendance records and exam results, it may help to evidence the view that larger, more spacious classrooms create better learning environments for pupils.


When viewed as a whole, this information has the power to enable much more strategic decision- making and ensuring all investment


manufacturer and provider of disabled toileting solutions.


“A bathroom adaptation may be provision of a hoist to facilitate transfer with reduced carer requirement, a toilet lift to eliminate care support to get on and off the WC, or a wash & dry toilet to eliminate care support cleaning after toileting.


“Any or all of those adaptations meet care and support eligibility regulations under the Care Act: they improve wellbeing and independence for user and care, they minimise the effect of the disability or deterioration, address safe moving & handling, and support the user to live as independently as possible for as long as possible.”


To help all involved in the process of care service provision get it right, Clos-o-Mat has produced a guidance paper on domestic bathroom and toilet adaptation. The paper is available for free download from the website.


www.clos-o-mat.com


is evidence-based. Not only will this help to enhance the learning environment, it will also create better workspaces for teachers.


The difficulty lies in the fact this data is often spread across disparate databases, and is often managed by the relevant local authority or individual school or academy. That’s where analysing Big Data comes in. Building intelligence software can suck all of these data points into one system and present it in a bespoke format, allowing the DfE to view and interpret the data as a whole.


In 2014, a survey of local councils by the Local Government Association revealed 23% rated the condition of their school as extremely or very poor, with more than two-thirds of schools considered in need to refurbishment or renewal. By using big data analytics to determine this, rather than relying on the opinion of individuals, the DfE has an opportunity to ensure its investment is directed at those who truly need it the most.


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