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Advancing policy and practice in the physiotherapy and osteopathy professions

Summary of the impact

The University of Brighton's sustained musculoskeletal research programme has, through the development of novel standardised data collection tools, improved data capture, communication, policy and business planning at local practitioner level and at organisational/regulatory body levels (e.g. Physio First, the private physiotherapy practitioner group of the Chartered Society of Physiotherapy (CSP) UK and the General Osteopathic Council (GOsC)). Secondly, research findings from a study exploring patients' expectations have significantly informed the recent revision of the GOsC's osteopathic practice standards and a new revalidation scheme for osteopaths. Thirdly, as a result of studies identifying research priorities for the physiotherapy profession, changes have occurred in the direction and focus of research funding applied by the CSP's charitable trust.

Submitting Institutions

University of Brighton,University of Sussex

Unit of Assessment

Allied Health Professions, Dentistry, Nursing and Pharmacy

Summary Impact Type

Health

Research Subject Area(s)

Medical and Health Sciences: Public Health and Health Services

Addressing The Global Burden of Eye Diseases

Summary of the impact

Anglia Ruskin University's Professor Bourne leads the Vision Loss Experts Group (VLEG) which is part of the Global Burden of Disease Study (GBD. Comprising 79 leading ophthalmic epidemiologists from around the world, and carried out in partnership with the World Health Organization (WHO), VLEG compiled the most up-to-date statistics ever generated on the prevalence of global blindness, facilitating the analysis of trends and risk factors, and producing detailed future projections.

VLEG data have been described as "a critical contribution to our understanding of present and future health priorities for countries and the global community" (Editor-in-Chief, The Lancet, Dec 2012). The findings have directly impacted on healthcare policymakers and professionals, charities and economic analysts, both in the UK and overseas, increasing their awareness of global eye care issues. These users have applied this increased awareness at a:

a. Global level where the data have become a significant resource in health analyses by economists and healthcare planners such as PricewaterhouseCoopers and the World Economic Forum (WEF), enabling these organisations to provide recommendations for eye-health policies and practices. These reports predict the socio-economic impact of visual impairment in the world and provide an insight into the economic return from investments in eye-health treatment programmes. These in turn have informed the development of healthcare planning nationally and internationally, including the Eye Health Strategy by Vision2020 Australia. In addition, the research findings were used by NGOs and opinion leaders in ophthalmology at the Congress of the International Agency for the Prevention of Blindness (IAPB), informing discussion of blindness prevention strategies. This led directly to the development of an Action Plan for the Prevention of Avoidable Blindness and Visual Impairment (2014-2019) by the WHO, which was endorsed by the 66th World Health Assembly. Furthermore, the World Bank, as part of its mission to alleviate poverty, has adopted the data to inform funding priorities for health care projects in developing countries.

b. National level where VLEG findings drew attention to the absence of reliable data, subsequently leading to the commissioning of a detailed countrywide National Eye Survey of Trinidad and Tobago (NESTT), worth £350,000, in order to identify and address eye-health priorities.

Submitting Institution

Anglia Ruskin University

Unit of Assessment

Allied Health Professions, Dentistry, Nursing and Pharmacy

Summary Impact Type

Political

Research Subject Area(s)

Medical and Health Sciences: Ophthalmology and Optometry, Public Health and Health Services

Establishing a blueprint for administrative data based longitudinal studies in the UK

Summary of the impact

The Scottish Longitudinal Study (SLS) is a pioneering study, combining census, civil registration, health and education data (administrative data). It has established an approach that allows the legal and ethical use of personal, sensitive information by maintaining anonymity within the data system. This approach has become a model for the national data linkage systems that are now being established across the UK. The SLS has also enabled policy analysts to monitor key characteristics of the Scottish population in particular health inequalities (alerting policy makers to Scotland's poor position within Europe), migration (aiding economic planning) and changing tenure patterns (informing house building decisions). Finally, the study has become fully embedded in Scotland's National Statistical agency, allowing it to produce new informative statistical series.

Submitting Institution

University of St Andrews

Unit of Assessment

Geography, Environmental Studies and Archaeology

Summary Impact Type

Political

Research Subject Area(s)

Mathematical Sciences: Statistics
Medical and Health Sciences: Public Health and Health Services
Economics: Applied Economics

Data provenance standardisation [DPS]

Summary of the impact

KCL research played an essential role in the development of data provenance standards published by the World Wide Web Consortium (W3C) standards body for web technologies, which is responsible for HTTP, HTML, etc. The provenance of data concerns records of the processes by which data was produced, by whom, from what other data, and similar metadata. The standards directly impact on practitioners and professional services through adoption by commercial, governmental and other bodies, such as Oracle, IBM, and Nasa, in handling computational records of the provenance of data.

Submitting Institution

King's College London

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics
Information and Computing Sciences: Computer Software, Information Systems

Improving Social Care Call Centre Operational Effectiveness

Summary of the impact

Targeted Projection Pursuit (TPP) — developed at Northumbria University — is a novel method for interactive exploration of high-dimension data sets without loss of information. The TPP method performs better than current dimension-reduction methods since it finds projections that best approximate a target view enhanced by certain prior knowledge about the data. "Valley Care" provides a Telecare service to over 5,000 customers as part of Northumbria Healthcare NHS Foundation Trust, and delivers a core service for vulnerable and elderly people (receiving an estimated 129,000 calls per annum) that allows them to live independently and remain in their homes longer. The service informs a wider UK ageing community as part of the NHS Foundation Trust.

Applying our research enabled the managers of Valley Care to establish the volume, type and frequency of calls, identify users at high risk, and to inform the manufacturers of the equipment how to update the database software. This enabled Valley Care managers and staff to analyse the information quickly in order to plan efficiently the work of call operators and social care workers. Our study also provided knowledge about usage patterns of the technology and valuably identified clients at high risk of falls. This is the first time that mathematical and statistical analysis of data sets of this type has been done in the UK and Europe.

As a result of applying the TPP method to its Call Centre multivariate data, Valley Care has been able to transform the quality and efficiency of its service, while operating within the same budget.

Submitting Institution

Northumbria University Newcastle

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics
Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems

British Household Panel Study: Informing government strategy and legislation

Summary of the impact

The British Household Panel Study (BHPS) is a longitudinal survey that has followed a representative sample of individuals since the early 1990s. The resource is used routinely by government departments (e.g. DWP, HMRC, Cabinet Office) and third-sector bodies (e.g. Children's Society) for their research and for monitoring progress towards policy targets. The data's longitudinal character has helped to transform government departments' understanding of the goals of social policies, and allowed them to redefine targets in ways not possible without the BHPS. Examples include DWP's monitoring of persistent poverty, which uses BHPS data to estimate the probability of an individual living in poverty for several successive years.

Submitting Institution

University of Essex

Unit of Assessment

Sociology

Summary Impact Type

Societal

Research Subject Area(s)

Mathematical Sciences: Statistics
Medical and Health Sciences: Public Health and Health Services
Studies In Human Society: Sociology

Systematic reviewing: building capacity for better-informed policy-making

Summary of the impact

The IOE's Evidence for Policy and Practice Information and Co-ordinating (EPPI) Centre has helped UK and overseas governments to make better-informed decisions on education, public health and health education, social welfare and international development, through the use of systematic reviews. The internationally-respected research team has done this by developing and improving methods and tools that produce a broader range of high quality, reliable studies better able to answer policy-makers' questions. EPPI trains civil servants to formulate effective research questions, supports NICE and WHO in ensuring the validity of their guidelines, and works with governments across the EU to build capacity in evidence-informed policy and practice in education.

Submitting Institution

University College London

Unit of Assessment

Education

Summary Impact Type

Societal

Research Subject Area(s)

Medical and Health Sciences: Public Health and Health Services

Estimating local populations with far greater accuracy using administrative data

Summary of the impact

There is growing evidence that official population statistics based on the decennial UK Census are inaccurate at the local authority level, the fundamental administrative unit of the UK. The use of locally-available administrative data sets for counting populations can result in more timely and geographically more flexible data which are more cost-effective to produce than the survey-based Census. Professor Mayhew of City University London has spent the last 13 years conducting research on administrative data and their application to counting populations at local level. This work has focused particularly on linking population estimates to specific applications in health and social care, education and crime. Professor Mayhew developed a methodology that is now used as an alternative to the decennial UK Census by a large number of local councils and health care providers. They have thereby gained access to more accurate, detailed and relevant data which have helped local government officials and communities make better policy decisions and save money. The success of this work has helped to shape thinking on statistics in England, Scotland and Northern Ireland and has contributed to the debate over whether the decennial UK Census should be discontinued.

Submitting Institution

City University, London

Unit of Assessment

Business and Management Studies

Summary Impact Type

Political

Research Subject Area(s)

Medical and Health Sciences: Public Health and Health Services
Economics: Applied Economics

A new product for creating annotated data sets within smart environments

Summary of the impact

[text removed for publication], a developer of high-precision medical devices, have produced a new data annotation tool ([text removed for publication]) based on research in CSRI on data storage formats and activity recognition for applications within smart home environments. Within [text removed for publication] stereo-based cameras record activities in a specified environment (e.g. kitchen) which are then annotated using user-based pre-configured activity labels (e.g. prepare meal, wash dishes). [text removed for publication] is currently used by [text removed for publication] users and has yielded additional sales worth [text removed for publication]. [text removed for publication] have employed [text removed for publication] additional technical development staff to extend [text removed for publication] functionality, and through an MoU [text removed for publication] now supports automated annotation based on CSRI's research on activity recognition.

Submitting Institution

University of Ulster

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems

Augmentative and Alternate Communication (AAC)

Summary of the impact

Augmentative and Alternative Communication (AAC) systems and devices assist people with little or no functional speech to communicate. Dundee research on pragmatics and conversational modelling to improve communication rates and support conversational flow has led to widespread use in AAC of re-usable phatic conversation (e.g. greetings, responses, farewells) and visual scenes (rapid access to conversational items). More recently, the application of natural language generation and sensor-based data-to-text technology has resulted in the automated generation of jokes and narratives to assist non-speaking people to engage in lively conversation. Symbolic and phonetic interfaces have been developed for children and adults with congenital and language impairments.

Submitting Institution

University of Dundee

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems
Psychology and Cognitive Sciences: Cognitive Sciences

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