West Midlands Key Health Data 2008/09 CHAPTER EIGHT: MEASURING DISABILITY ACROSS THE WEST MIDLANDS Dr Richard Wilson: NHS West Midlands and Joanna Matthews: Council of Disabled People |
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Main Body 7: Changes in Heart Attack Admissions since the Smoking Ban 8: Measuring Disability Across the West Midlands 9: Surveillance of Clostridium Difficile in the West Midlands |
8.1 IntroductionMeasuring the numbers of disabled people and their impairment was recognised by the West Midlands Regional Observatories Population and Society topic group as a gap in the Regional evidence base. This chapter is an attempt to map our knowledge of disability across the region and identify where gaps exists. The Regional Disability Network http://www.rdn-wm.org.uk/ has provided guidance on both use of language and some sources of data. The networks goal is to be the voice of disabled people in the West Midlands and sees publications such as Key Health Data as important in raising the understanding of disability issues in the public sector. In this chapter we have reviewed quantitative data on physical and sensory impairments, mental illness, learning difficulties (disabilities) and social disabilities, There is much existing qualitative ‘needs’ evidence in the public domain which reflects the challenges faced by Disabled people in today’s society but these were beyond the scope of this chapter. 8.2 Definition of DisabilityBefore embarking on any work on disability it is important first to address the language and scope of the work. The Disability Discrimination Act (DDA) defines a disabled person as ‘someone who has a physical or mental impairment that has a substantial and long-term adverse effect on his or her ability to carry out normal day-to-day activities’.1 We propose to use the DDA definition in this chapter. Definition of Impairment and Disability
8.3 Models of DisabilityThere are a number of models that can be used to view and discuss disability, the two most common being the ‘social model’ and the medical model’. The Office of Disability Issues (ODI) and organisations in the Disability sector use and encourages others to use, the social model. It is important to be aware of these two differing views as they lend differing interpretations to how we interpret the data we have available to us and the gaps that remain. The Social Model Impairments and chronic illness often pose real difficulties for disabled people but they are not the main problems. It is the 'barriers' which exist in society that create the main problems. The three main areas of barrier are:
The Medical Model The medical model is sometimes also known as the ‘personal model’. This is the traditional view that the inability of disabled people to fully participate in society is a direct result of having a disability, not a result of physical features of society. The individual is 'impaired' and the impairment is the problem to be overcome. This model relies on a strong notion of what is ‘normal’, thereby emphasising the ‘abnormality’ of impaired people. This model is more likely to lead to the targeting of special welfare benefits, and the provision of segregated services for disabled people. The focus of the medical profession is to alleviate the effects of impairments, and disabled people need to be treated and rehabilitated to enable them to participate more fully. This model suggests that disabled people should try, wherever possible, to live in the norms and patterns of mainstream society. 2 8.4 Measuring and Mapping Disability across the West MidlandsThe aim is to map out the prevalence of disability by type across the region, and where possible the age, sex and ethnic distribution. The chapter will look at the data sources available, present the data where available and indicate the biggest gaps. The main content for this chapter is taken from the Office of Disability Issues. 3 For each area covered by the ODI we have highlighted where regional or lower level data is available. 8.5 Data SourcesThere are two major types of data on impairment: Surveys; and administrative data. There is no single register of disabled people and their needs or services provided. In many regards this is probably the initial gap. Disability services are not the sole remit of a single agency. The challenges in using this data is that there is a lot of double counting and the data collected is still very medically orientated and focussed on individual disabled person’s limits rather than barriers which prevent full inclusion in society. Currently surveys use different wording to define disability resulting in different statistics on numbers of disabled people and exclusion of certain groups who may have rights under the Disability Discrimination Act (DDA). Furthermore, current survey questions often adopt a medical model approach to defining disability, without considering the social barriers that restrict people’s life opportunities. ODI and Office of National Statistics (ONS) have continued to consult other government departments and disabled people on how to revise the questions used. It is anticipated that a recommended set of standard disability questions will be available before the end of 2010.4 On the KHD website (http://www.bham.ac.uk/keyhealthdata) there is a downloadable data set of all measures of disability uncovered in producing this chapter. 8.6 General Demographics
Regionally there were 993,458 people with a limiting long term illness in the 2001 Census. However, we are unable to count how many people have each type of limiting long term illness or disability. The data we do have on the types of disability people have is listed in Table 8.1. However within this table there will be much double counting. This is evident from the data provided by the National Health Information Centre on those people who are either blind or partially sighted with an additional impairment (Table 8.2). Table 8.1: People with a disability living in the West Midlands, and the source of data
Table 8.2: Blind or partially sighted people with more than one disability, March 2008
In Table 8.3, the counts of people in receipt of benefit are listed by the condition for which they qualify. This is the best data we have on the types of impairment in the population; however it should be noted that not all of these people would fall under the DDA definition. There are three key data issues with using this information:
Table 8.3: People in receipt of benefits by medical condition, across West Midlands, November 2009
There is some data available on the age profile of people living with impairment. For those registered as blind (Figure 8.1) and those in receipt of Disability Living Allowance (Figure 8.3) show an increasing number as age increases, however the rate of deafness is more u-shaped with a distinctly younger cohort of people (Figure 8.2) Figure 8.1: People registered as blind by age Figure 8.2: People registered as deaf, rate per 1,000 population Figure 8.3: People in receipt of Disability Living Allowance, November 2009
8.7 Living Standards
This data is based on the Households below Average Income survey for which we have not been able to resolve to below National level. 8.8 Employment
This data is based on the Labour Force Survey some of which is available at a sub-regional level on the NOMIS website (www.nomisweb.co.uk), however this data is not on that site. 8.9 EducationBetween 2005/06 and 2008/09, the percentage of pupils at the end of Key Stage 4 achieving 5 or more GCSEs at grades A*-C has
This data is based on National Pupil Database. This should be available locally through local authority education departments. 8.10 Post-19 Education
This data is based again from the Labour Force Survey some of which is available at a sub-regional level on the NOMIS website (www.nomisweb.co.uk), however this data is not on that site. 8.11 Independent Living
This is one area where data is collected and available, at least partial sub-regionally. National Indicator NI136 gives information on the number of adults that are assisted directly through social services assessed/care planned, funded support to live independently, plus those supported through organisations that receive social services grant funded services. The information is broken down by primary client (adults with a learning disability, a physical disability, a mental health problem, a substance misuse problem and vulnerable people) and by age group (adults aged 18 - 64 and older people aged 65 and over). Table 8.4 lists the breakdown of people aged 18-64 with a learning disability helped to live independently. The problem with this indicator is we do not know the population of the West Midlands with a learning disability to know what proportion of people are being assisted. This data is available sub-regionally. Table 8.4: People aged 18-64 with a learning disability
However for those people aged 65, the breakdown by impairment is not provided despite it being report under NI136. What we have is the number of adults all ages per 100,000 population that are assisted directly through social services assessed/care planned, funded support to live independently, plus those supported through organisations that receive social services grant funded services. The indicator is age standardised and adjusted for likely needs for social care services using needs-weighted population data produced from Relative Needs Formula (RNF) allocation calculations. Figure 8.4: People aged over 65 helped to live independently, standardised rate per 1,000
8.12 DiscriminationAlthough there is very little data available at regional level about discrimination there are several studies by voluntary organisations working in this sector which provide qualitative information on the impact of discrimination on the lives of Disabled people. Some studies focus on disabled people with a single impairment and evidence the different barriers experienced by different impairment groups
These data come from the Fair Treatment at Work Survey, and Taking Part Survey and are not found at a regional level. 8.13 Leisure, social and cultural activities
These data come from the Citizenship Survey and again they are not found at a regional level. 8.14 Participation
These data come from the Citizenship Survey and are not found at a regional level. 8.15 Transport
These data come from the Opinions Survey and the Annual Sample Survey of Bus Operators and are not found at a regional level. 8.16 Communications
These data come from the British Social Attitudes Survey and are not found at a regional level. 8.17 Justice System
These data come from the British Crime Survey and again that are not found at a regional level. 8.18 Housing
These data come from the English House Condition Survey and the Survey of English Housing and again that are not found at a regional level, 8.19 Life Opportunities SurveyThe Life Opportunities Survey (LOS) is a new national survey sponsored by ODI. It aims to collect information on people’s life opportunities, covering areas such as work, education, social participation and the use of public services. The survey also aims to identify the reasons why people do not take part in work or leisure activities that they would like to, or why people experience difficulties with using public services. There are specific questions which examine daily living through the lens of discrimination encountered. 8.20 Data archivesThe Economic and Social Data Service (http://esds.ac.uk) stores record level data for the surveys listed below and used in this chapter, and is free to access for public sector and non-commercial organisations. It was beyond the resources available to this study to undertake any detailed analyses of these surveys.
The British Attitudinal Survey can be accessed through a dedicated website at the National Centre for Social Research (http://www.britsocat.com). 8.21 ConclusionThere remains an on-going paucity of data on disability, even filling the data gaps proves challenging without trying to look at the social model. The most comprehensive data set remains the benefits data. The registers of people who are blind or deaf are perhaps role models for other impairments, but there remain deficiencies in terms of equalities with no data on ethnicity, deprivation or sexuality. Until these areas are addressed commissioners will lack the appropriate data to design services to fit the needs of their populations References:
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© Public Health, Epidemiology and Biostatistics Unit, School of Health and Population Sciences, University of Birmingham