In this MSOA there are: 2 GP practice locations (this includes branches and main practices)

Transcription

1 MSOA profile for: In this MSOA there are: 2 GP practice locations (this includes branches and main practices) MALHOTRA A PEARLMAN AD AND PARTNERS B8637 B8692 MSOA: (Middle Super Output Area). These are geographic areas designed to improve the reporting of small area statistics in England and Wales. MSOAs are built from groups of Lower Super Output Areas (LSOAs). The minimum population of an MSOA is 5, and the mean is 7,2 (when originally generated). Overview map: Orange area represents parts of which fall into the 1% most deprived in England according to the Index of Multiple Deprivation (24). Approximately 2% of the population live in this area. Practice locations from Mid 21 Based upon the 26 Landranger 1:5 Scale map, with the permission of Ordnance Survey on behalf of the controller of Her Majesty's Stationery Office, (c) Crown Copyright. NHS Information Service, Primary Care Trust, North West House. License Number /12/11 Page 1 of 3 Check for newer versions, visit

2 MSOA profile for: Contents Map overview Population profile Pupil demographics Neighbourhood Index introduction Neighbourhood Index Deprivation GP data Cancer Coronary heart disease Chronic obstructive pulmonary disease Diabetes Smoking Obesity Alcohol admissions Hospital admissions / Mortality / A&E admissions Adult Social Care Provision and safeguarding Service map Acorn and Health Acorn Glossary MSOA ranking summary sheet 15/12/11 Page 2 of 3 Check for newer versions, visit

3 About this profile This profile focuses on a small area called a Middle Layer Super Output area (MSOA). The MSOAs were produced by the Office of National Statistics in 24. They are small areas with average populations of 7, people. They may or may not match neighbourhood boundaries that local communities would recognise. They are useful for comparing information because they have fixed boundaries that won t change over time. The number of people living in each MSOA is large enough to identify meaningful differences between each MSOA and overall. is divided up into 18 MSOAs. England has 7,193 MSOAs in total. Why produce a neighbourhood profile? Addressing the health and social care needs of a population as large and diverse as presents many challenges. Unequal outcomes and unequal access to services are averaged out over a population of over 75,. The rich diversity of our communities makes a very vibrant city. But we need to understand the details of this diversity to know how best to target services effectively. Neighbourhood profiles are a means to improve our understanding of the needs of people living in each part of, how each area differs from the next and how they differ from overall. There is a profile for each of the 18 Middle Layer Super Output Areas that make up the metropolitan area. What s in the profile? NHS and City Council have worked together on the content. Each profile has: a detailed map of the area and a reference map of information about different sections of the population a neighbourhood Index this summarises information on employment, education, health, safety, the environment and housing for the area and shows how it compares to other areas and as a whole GP registered prevalence of people with cancer, heart disease and lung disease (chronic obstructive pulmonary disease) GP reported prevalence of smoking and obesity rates of attendance at A&E and admission to hospital (including admissions for alcohol related harm) death rates data on adult social care provision and referrals data on the safeguarding of vulnerable adults a summary of the types of households and likely present or future health problems, using Acorn segmentation a map of health and care facilities such as GP surgeries and care homes. These profiles combine information and analysis from both organisations in new ways. They also make new use of patient data collected by local GPs to give us fresh insights into the needs of people living in each area. Explore all the MSOA profiles online All 18 MSOA profiles on the website provide valuable information for anyone with an interest in the health and wellbeing of their local community. The profiles can help public, private and third sector organisations to better understand the needs of local communities in small areas and make sure their services are meeting those needs. 15/12/11 Page 3 of 3 Check for newer versions, visit

4 Population profile Population of this area: ALL: 7, ,476 resident Male: 3,64 Female: 3,742 Population of this area by CCG (practice membership of CCGs as of January 211) in this area in Calibre 2.% 163, % H3+ 1.% 279, % Independent % 149, % 5 Leodis Healthcare 6, % 22, % 356 Registered elsewhere* 1.% 1,99.1% 1 Index ( = 1) index 1 2 Population living in this area, and registered at a practice located here: B B8692 2,292 The population shown in the chart is what is commonly referred to as a population pyramid. Traditionally, the chart is shaped like a pyramid in that the base is wide and each level above becomes slightly narrower as the population in the increasing age groups becomes a smaller percentage of the total. Female Male 15% 1% 5% % 5% 1% 15% y 75-79y 7-74y 65-69y 6-64y 55-59y 5-54y 45-49y 4-44y 35-39y 3-34y 25-29y 2-24y 15-19y 1-14y 5-9y -4y In modern western societies the pyramids are now typically narrower at the base due to a decline in the birth rate. The profile is shown in outline and follows the expected pattern for a modern western population with an increase in the proportion of people in the university student age groups. The population in this MSOA has an older profile than the standard profile for. The population pyramid is consequently top heavy, though the proportion of children is fairly normal for. The student age cohorts and adults below 35 are a smaller proportion of the total than average. This area does not house the population of students who attend the two universities in. This MSOA Population pyramid for January 211 GP registered population Practice population note: The practice populations here is from January 211 and includes all patients living in this MSOA belonging to these practices. However, a practice may have a branch in this MSOA, and a main practice elsewhere in. The populations shown in this report are for people living in this MSOA but they could be registered at either the main practice or branch. * Registered Elsewhere: These people more than likely belong to 1,+ living in and registered with a non- practice. A very small number of people are registered at practices which in January 211 had no membership of a CCG. 15/12/11 Page 4 of 3 Check for newer versions, visit

5 Population profile Population of this area: ALL: 7, ,476 resident Origins geography groups of population in this area: in this area in index 1 2 Africa 9.1% 14, % 7 Americas 26.4% 4,633.6% 6 British Isles 6, % 633, % 119 Central Asia.% 19.% Diasporic 7.1% 2,571.3% 29 East Asia 34.5% 14,14 1.8% 26 Eastern Europe 24.3% 19, % 13 Middle East 22.3% 22, % 1 Northern Europe 34.5% 4,49.6% 83 Not found 1.% 2,457.3% 4 Oceanian.% 229.% South Asia 37.5% 47,734 6.% 8 Southern Europe 54.7% 14, % 4 Unknown 1.% 187.% 58 Western Europe % 22,99 2.9% 73 Grand Total 7, % 86, % 99 (Chart does not illustrate groups numbering less than 1, in the total population) The population in this area is almost entirely British in origin with very small numbers of people of other origins, the largest of which is West European. In terms of faith, this is almost entirely a Christian area, predominantly Protestant, with a smaller than average Catholic population. Armenian Buddhist Christian Christian Catholic Christian Greek Orthodox Christian Protestant Hindu Jewish Muslim Not Found Russian Orthodox Sikh Unknown Blank 'Faith' as calculated by Origins software.%.3%.% 7.%.%.3%.1%.4%.%.1%.1%.%.2% 91.5% % 2% 4% 6% 8% 1% Origins geography and faith note: Origins software analyses forename and surname of every GP registered patient in and gives what is considered to be an indication of an individuals most likely heritage and faith according to geography. This is not necessarily how they might describe themselves. For more information about Origins software visit: 15/12/11 Page 5 of 3 Check for newer versions, visit

6 January 211 School Census Language and ethnicity Pupils on roll in this area: 125 and 14,56 in. (all pupils in ) Top five languages recorded: in this area in Index ( = 1) index 1 2 English 1, % 87, % 13 Believed to be English % 65.6% 412 Other than English 4.3% 1, % 24 Shona 3.2% 298.3% 87 British Sign Language 1.1% 17.% 58 Others 5.4% 12, % (Totals will be slightly less than roll total as it is not a statutory requirement to collect ethnicity and language data for pupils below the statutory school age) English Believed to be English Other than English Shona British Sign Language Chart: Proportions of top five languages in this area compared to This area % 25% 5% 75% 1% Top five ethnicity recorded: in this area in index 1 2 White British 1, % 76, % 13 Black African 8.7% 3, % 21 Mixed Black Caribbean and White 7.6% 1, % 36 Other White Background 5.4% 1, % 37 Other Pakistani 4.3% 4,5 3.9% 9 Others % 16, % (Totals will be slightly less than roll total as it is not a statutory requirement to collect ethnicity and language data for pupils below the statutory school age) White British Black African Mixed Black Caribbean and White Other White Background Other Pakistani % 25% 5% 75% 1% Chart: Proportions of top five ethnicities in this area compared to This area The annual school census provides information on the ethnicity and first language of pupils who live in and go to school in. In total, there are 24 ethnic categories and over 17 different first languages. This profile summarises the top five of each in the area and compares these to the city averages (N.B. the top five has been set as a threshold because in most areas the numbers below this are very small). While this data is specific to school children it is representative of the wider population and provides valuable additional information on the make-up of the area and complements the population profile derived from analysis with Origins software of the GP registered population. Source: January 211 School Census 15/12/11 Page 6 of 3 Check for newer versions, visit

7 Neighbourhood Index Neighbourhood Index The City Council has worked with partner organisations to develop a Neighbourhood Index for the city, which provides the Council and its partners with a robust evidence base by which to plan service interventions and to begin to identify and guide resources into the areas of greatest need. It contributes to a more sophisticated understanding of the problems and issues facing local communities and the people in those communities, and provides a framework to benchmark progress in key neighbourhoods and communities. The Neighbourhood Index is a tool which brings together a wealth of information that paints a broad picture of an area and helps to describe local conditions. It is a multiple domain and indicator based system that seeks to measure outcomes rather than activities and inputs, and which can be used to measure the general health and the relative success of neighbourhoods across the city. The aim has been to provide a framework for the exchange, analysis and sharing of information amongst partners / project deliverers / local communities that: can consistently gather, collate, analyse and present information about neighbourhoods can identify areas of need and analyse relevant data on the critical issues facing target neighbourhoods provides an agreed mechanism for reporting progress in neighbourhoods, and target areas in particular, and monitors success in meeting targets. The Index is constructed from 27 indicators that have been grouped into the following seven domains, then combined into a domain score and rank, and then into a single Neighbourhood Index score and rank: Economic Activity Low Income Education Health Community Safety Environment Housing The Neighbourhood Index is run once a year and this profile represents the third year of the Index. Comparison profiles are also available showing how conditions in an area have changed over time. The information contained in the Neighbourhood Index provides a contextual background for the detailed health and wellbeing data contained in this profile. For further information please contact Jacky Pruckner, Business Transformation Team, City Council. jacky.pruckner@leeds.gov.uk or telephone: /11/11 15/12/11 Page 7 of 29 3 Check for newer versions, visit

8 Neighbourhood Index 211 Economic Activity Low Income Housing Health Environment Education Community Safety Index Key Statistics Population 29 MYE Households Liable for Council Tax BME Population Foundation Stage Key Stage 2 Key Stage 4 Persistent Absenteeism NEET (Nov - Jan Average) Crimes Against the Person Acquisitive Property Crime Environmental Crimes Community Disorders Average Purchase Price Price / Income Ratio Housing Turnover Empty Homes (9+ days) Children in Workless Households Households Receiving In-Work Benefits 6+ Households In Receipt of Benefits Court Payment Orders Job Seekers' Allowance Incapacity Benefit Lone Parent Income Support Circulatory Disease Mortality Cancer Mortality Low Birthweight Adult Social Care Fly Tipping Graffiti Waste Issues Adult Social Care Community Based Service Users Learning Disabilities Mental Health Physical Disablilty Other Reasons Children Working Age Older People Age (29 M.Y.E.) Domain Summary E22418: Index Community Safety Education Environment Health Housing Community Safety Rank Score Score Diff Low Income Education Economic Activity The area is located in the Outer East. It covers most of but excludes the area to the eastern edge of the village. Environment Profiled Area M.D. Number Rate Number Rate The population is predominantly White British and the age breakdown shows a slightly 7, ,71 higher than average proportion of children and young people. 3,1 321, % 77, % 78% of households are in owner-occupation and 15% are renting from the local authority % 4, % (through an ALMO). Semi-detached housing accounts for 59% of the stock with detached 49 7.% 5, % housing accounting for 15% and terraced properties a further 18%. Just under 37% of % 3, % properties are classified in Council Tax Band A, 31% in Band B and 22% in Band C % 2, % % % The following services are located in this area: Kabin Community Centre; 11 N/A 25,887 N/A Community Centre; common recreation ground; 2 primary schools; 121 N/A 45,23 N/A Medical Centre; Childrens Centre; 2 allotment sites; Leisure Centre; 53 N/A 11,961 N/A High Street main shopping area. 35 N/A 51,988 N/A 139,57 N/A 17,997 N/A 5.3 N/A 5.24 N/A % 47, % % 21, % % 25, % % 15, % % 33,2 1.34% N/A N/A N/A N/A 2.2% 5.8% 1.4% ,562 22,675 3,83 8,71 N/A N/A N/A N/A 4.34% 5.9% 1.67% %.%.%.% 3.9% 51.9% 44.2% Least Successful Average.2%.4% 1.4% 6.9% 17.2% 38.6% 33.2% 97 N/A 12,836 N/A.% Most Successful 2.1% Faith (21 Census) 6 N/A 4,375 N/A Profiled Area M.D. The pie charts represent the weighted proportions of 22 N/A 3,141 N/A Christian individual indicators falling into each band 17 N/A 6,852 N/A Buddhist Profiled Area M.D. Hindu Ethnicity (21 Census) Profiled Area MD Number Rate Number Rate Jewish Number Rate Number Rate White British 7, % 637, % Muslim 9 N/A 1,448 N/A Irish 39.54% 8, % Sikh 17 N/A 2,424 N/A Black Caribbean & White 13.18% 4,577.64% 7 N/A 8,374 N/A Black African & White 3.4% % 1 N/A 59 N/A Asian & White 9.12% 2,541.36% Supplementary Health Information Indian 7.1% 12, % CHD Prevalance Profiled Area MD Pakistani 3.4% 15, % Smoking Prevalance Number Rate Number Rate Bangladeshi.% 2,531.35% 1, % 133, % Black Caribbean 6.8% 6,737.94% 4, % 522, % Black African.% 2,44.34% Disability (21 Census) 1, % 131, % Chinese 1.14% 3,468.48% Limiting Long-Term Illness This product includes mapping data licensed from Ordnance Survey with the permission of HMSO Crown copyright and/or database right 211. All rights reserved. License number Economic Activity Health Area City Low Income Housing Profiled Area M.D. Number Rate Number Rate 5, % 492, % 6.8% 1,63.22% 4.5% 4,189.59% 6.8% 8, %.% 21, %.% 7,61 1.6% Profiled Area MD Number Rate Number Rate N/A 4% N/A 3.5% N/A 21% N/A 22.8% Profiled Area MD Number Rate Number Rate 1, % 128, % 17/11/11 15/12/11 Page 8 of 29 3 Check for newer versions, visit

9 Deprivation - Index of Multiple Deprivation How deprived is this area? All MSOAs are created by combining LSOAs. This chart shows all LSOAs (Lower Super Output Areas) in as grey circles. A solid grey line represents all LSOAs in England ranked from most to least deprived. LSOA circles are positioned along the line in accordance with their Index of Multiple Deprivation rank (21). Their height represents the number of patients registered with a GP who live in that LSOA (in January 211). Source: Index of Multiple Deprivation 24, 27, 21 Office for National Statistics The LSOAs which make up this MSOA are highlighted with a yellow line and a darker circle. A thinner black line traces back to their positions in the chart with the 27 and 24 IMD with their associated practice populations at that time. LSOAs in England have an average population of 1,5. The chart shows some much larger LSOAs in due to population density changes. LSOA name Ranking in English IMD 21 (1st is most deprived) LSOA position in IMD 21, highlighted England, most to least deprived all LSOAs in, IMD 21 change in position from 24 and 27 9 GP registered population 45 Most deprived in England Index of Multiple Deprivation Least deprived in England About the IMD: The English Indices of Deprivation attempt to measure a broader concept of multiple deprivation, made up of several distinct dimensions, or domains, of deprivation. Seven distinct domains have been identified in the English Indices of Deprivation; Income Deprivation, Employment Deprivation, Health Deprivation and Disability, Education Skills and Training Deprivation, Barriers to Housing and Services, Living Environment Deprivation, and Crime. For more details visit 15/12/11 Page 9 of 3 Check for newer versions, visit

10 Cancer Source: NHS GP data audits, quarterly GP records data collection number in prevalence for Cancer prevalence this area this area % % Q1 9-1Qtr , Qtr , Qtr , Qtr , Q1 1-1Qtr , Qtr , Qtr , Qtr , % Cancer directly age standardised rates per 1, Q1 9-1 Q Q1 9-1Qtr ,38 2,28 Qtr ,67 2,39 Qtr ,59 2,57 Qtr ,54 2,81 Q1 1-1Qtr ,5 2,111 Qtr ,149 2,142 Qtr ,169 2,179 Qtr ,134 2,195 2,5 2, 1,5 1, 5 This area Q1 9-1 Q Prevalence of cancer is the amount of cancer in a population at a point in time. The directly age standardised diagnosis rate takes into account the age structure. The prevalence might be high because there are relatively more older people or low because there are relatively more younger people but age standardisation takes this into account showing the rate compared to overall. A high prevalence, high age standardised rate in a community with a relatively younger population suggests there is a high exposure to preventable risk factors in that community. The main risk factors for cancer are: growing older, smoking, sun, ionising radiation and chemicals, some viruses, family history of cancer, alcohol, poor diet, lack of physical activity, or being overweight. Behaviours like smoking, poor diet, alcohol and lack of physical activity are likely to be higher in more deprived communities. As educational attainment is lower in these communities, some people may be less familiar with early signs of cancer and less able to use a complicated system of care to their benefit. As a result some cancer patients present late and are less likely to have curative treatment. Life expectancy for people with cancer is lower in more deprived communities. The range of risk factors suggests many cancers are potentially preventable. Within this MSOA the prevalence and age standardised rates for cancer are more or less the same as the rest of. About the GP records data collection: The PCT runs a quarterly collection of data from GP systems, forming a picture over time of how conditions are recorded by GPs across. The automated data collections note the most recent occurrences of specific disease codes in each patients record as defined by the Quality Outcomes Framework (QOF). This gives a much greater level of detail than standard QOF data and is a benefit of the trusting relationship we have developed with practices. The cancer audit is defined by QOF codes but reads all new diagnosis recorded in the current population. Prevalence and the GP records data: Prevalence is calculated against the date-relevant GP registered populations for those practices which partook in the data collection. Some practices opted not to submit data for certain audits and therefore their populations are not part of specific prevalence calculations. 15/12/11 Page 1 of 3 Check for newer versions, visit

11 Coronary heart disease (CHD) Source: NHS GP data audits, quarterly GP records data collection number in prevalence for CHD prevalence this area this area % % Q1 9-1Qtr , Qtr , Qtr , Qtr , Q1 1-1Qtr , Qtr , Qtr , Qtr , % CHD directly age standardised rates per 1, Q1 9-1 Q Qtr ,7 2,975 Qtr 1 2Qtr ,143 2,96 Qtr ,136 2,932 Qtr ,41 2,918 Qtr ,47 2,91 Qtr 1 2 Qtr ,49 2,899 Qtr ,998 2,96 Qtr ,966 2, This area Q1 9-1 Q CHD prevalence is identified via the GP systems. This is often under recorded compared to the real prevalence in an area. The modelled prevalence for overall is 5.3% compared to a recorded prevalence of 3.5%. CHD has a close association with deprivation as well as key lifestyle factors such as smoking, being overweight and excessive alcohol use. There is now a focus on systematic early diagnosis, via the NHS Health Check, for all those between the ages of 4 and 74. This will ensure that those people who are at high risk of CHD are managed appropriately. From a recent CVD mortality audit within we know that being on a register has a positive effective on increasing both life expectancy and quality of life. Within this MSOA the prevalence of CHD is slightly higher than the average but the directly age standardised rate (which eliminates the effect of different population structures) is similar to. This area has medium to low levels of deprivation. Smoking rates for this MSOA are slightly lower than, obesity rates are slightly higher than, and admissions for alcohol related conditions are lower than the average. About the GP records data collection: The PCT runs a quarterly collection of data from GP systems, forming a picture over time of how conditions are recorded by GPs across. The automated data collections note the most recent occurrences of specific disease codes in each patients record as defined by the Quality Outcomes Framework (QOF). This gives a much greater level of detail than standard QOF data and is a benefit of the trusting relationship we have developed with practices. Prevalence and the GP records data: Prevalence is calculated against the date-relevant GP registered populations for those practices which partook in the data collection. Some practices opted not to submit data for certain audits and therefore their populations are not part of specific prevalence calculations. 15/12/11 Page 11 of 3 Check for newer versions, visit

12 Chronic obstructive pulmonary disease (COPD) GP records data collection Source: NHS GP data audits, quarterly number in prevalence for COPD this area this area % % Q1 9-1Qtr , Qtr , Qtr , Qtr , Q1 1-1Qtr , Qtr , Qtr , Qtr , % COPD directly age standardised rates per 1, Q1 9-1 Q Q1 9-1Qtr ,367 1,492 Qtr ,377 1,55 Qtr ,369 1,51 Qtr ,381 1,499 Q1 1-11Qtr ,395 1,517 Qtr ,433 1,534 Qtr ,452 1,562 Qtr ,426 1,557 4, 3, 2, 1, This area Q1 9-1 Q COPD is a disease of the lungs and is a key cause of premature mortality in. It is associated with deprivation and smoking. COPD is often identified late, reducing options for management to improve quality of life or to slow down the progression of the disease. Prevalence is identified from the GP systems, and is often under recorded. The modelled prevalence for is 4.5% compared to a recorded prevalence of 1.7%. For this MSOA the recorded prevalence is slightly higher than that for overall which could be due to effective identification by primary care, but is still lower than predicted. The age standardised rate is slightly lower compared to the average. These figures are related to the high percentage of GP recorded smokers in this area. Smoking status is strongly linked to deprivation. About the GP records data collection: The PCT runs a quarterly collection of data from GP systems, forming a picture over time of how conditions are recorded by GPs across. The automated data collections note the most recent occurrences of specific disease codes in each patients record as defined by the Quality Outcomes Framework (QOF). This gives a much greater level of detail than standard QOF data and is a benefit of the trusting relationship we have developed with practices. Prevalence and the GP records data: Prevalence is calculated against the date-relevant GP registered populations for those practices which partook in the data collection. Some practices opted not to submit data for certain audits and therefore their populations are not part of specific prevalence calculations. 15/12/11 Page 12 of 3 Check for newer versions, visit

13 Diabetes Source: NHS GP data audits, quarterly GP records data collection number in prevalence for Diabetes this area this area % % Q1 Qtr , Qtr , Qtr , Qtr , Q1 1 Qtr , Qtr , Qtr , Qtr , % Diabetes directly age standardised rates per 1, Q1 9-1 Q Q1 9-1Qtr ,835 3,372 Qtr ,872 3,44 Qtr ,821 3,425 Qtr ,87 3,482 Q1 1-11Qtr ,983 3,531 Qtr ,987 3,586 Qtr ,55 3,653 Qtr ,52 3,653 1, 8, 6, 4, 2, This area Q1 9-1 Q Diabetes consists of type 1 and 2. Type 2 is the most common and is strongly associated with obesity, other lifestyle factors, particular population groups and deprivation. From modelled estimates from the APHO the prevalence in would be around 6.7% (within a range of 4.8-1%). The recorded prevalence on GP systems for overall shows %. For this MSOA prevalence is higher than the overall figure, as is the age standardised rate. This shows that GPs are identifying diabetes but modelled prevalence expects there to be others as yet undiagnosed. The NHS Health Check (a vascular risk assessment and identification programme) is a systematic way of identifying people with diabetes and other vascular disease. It is worth noting that the recorded prevalence of obesity for this MSOA is higher than the figure for overall. About the GP records data collection: The PCT runs a quarterly collection of data from GP systems, forming a picture over time of how conditions are recorded by GPs across. The automated data collections note the most recent occurrences of specific disease codes in each patients record as defined by the Quality Outcomes Framework (QOF). This gives a much greater level of detail than standard QOF data and is a benefit of the trusting relationship we have developed with practices. Prevalence and the GP records data: Prevalence is calculated against the date-relevant GP registered populations for those practices which partook in the data collection. Some practices opted not to submit data for certain audits and therefore their populations are not part of specific prevalence calculations. 15/12/11 Page 13 of 3 Check for newer versions, visit

14 Smoking status (16+ years old) Source: NHS GP data audits, quarterly GP records data collection number in prevalence for Smoking this area this area % % Q1 Qtr , , Qtr , , Qtr , , Qtr ,29 131, Q1 1 Qtr , , Qtr ,25 129, Qtr ,25 14, Qtr , , % Smoking directly age standardised rates per 1, Q1 9-1 Q Q1 9-1Qtr ,984 23,531 Qtr ,227 23,54 Qtr ,199 23,191 Qtr ,339 23,27 Q1 1-11Qtr ,918 22,973 Qtr ,86 22,732 Qtr ,814 23,334 Qtr ,456 23, This area Q1 9-1 Q The use of tobacco is the primary cause of preventable disease and premature death. It is not only harmful to smokers but also to the people around them through the damaging effects of second-hand smoke. Smoking rates are much higher in some social groups, including those with the lowest incomes. These groups suffer the highest burden of smoking-related illness and death. This is the single biggest cause of inequalities in death rates between the richest and poorest in our communities. Levels of smoking have fallen since the 196s. However this decline in smoking rates has stopped and may be reversing. However there are still 24% of adults living in who smoke. Within this MSOA the smoking rates are slightly below the figure. The age standardised rate is also below the figure. Widely varying deprivation within this MSOA may be hiding more extreme values. About the GP records data collection: The PCT runs a quarterly collection of data from GP systems, forming a picture over time of how conditions are recorded by GPs across. The automated data collections note the most recent occurrences of specific disease codes in each patients record as defined by the Quality Outcomes Framework (QOF). This gives a much greater level of detail than standard QOF data and is a benefit of the trusting relationship we have developed with practices. Prevalence and the GP records data: Prevalence is calculated against the date-relevant GP registered populations for those practices which partook in the data collection. Some practices opted not to submit data for certain audits and therefore their populations are not part of specific prevalence calculations 2/12/11 Page 14 of 22 Check for newer versions, visit

15 Obesity Source: NHS GP data audits, quarterly GP records data collection number in prevalence for Obesity this area this area % % Q1 Qtr , Qtr , Qtr , Qtr , Q1 1 Qtr , Qtr , Qtr , Qtr , % Obesity directly age standardised rates per 1, Q1 9-1 Q Q1 9-1Qtr ,278 2,61 Qtr ,494 2,578 Qtr ,524 2,59 Qtr ,16 2,728 Q1 1-11Qtr ,224 2,823 Qtr ,94 2,719 Qtr ,94 21,14 Qtr ,575 21, This area Q1 9-1 Q The latest Health Survey for England (HSE) data shows that nearly 1 in 4 adults, and over 1 in 1 children aged 2-1, are obese and the trend is set to increase. Obesity can have a severe impact on people s health. Around 1% of all cancer deaths among non-smokers are related to obesity. The risk of coronary artery disease and type 2 diabetes directly increases with increasing levels of obesity e.g. levels of type 2 diabetes are about 2 times greater for people who are very obese. These diseases can shorten life expectancy. Excess weight is caused by an imbalance between energy in what is consumed through eating and energy expenditure what is used by the body, over a prolonged period. It is an individual s eating and physical activity habits that are primarily responsible for maintaining a healthy body weight. However, there are also significant external influences such as environmental and social factors (e.g. changes in food production, motorised transport and work/home lifestyle patterns) that contribute to body weight. Within this MSOA the prevalence on GP systems is above the average and the age standardised rate is also above the figure. About the GP records data collection: The PCT runs a quarterly collection of data from GP systems, forming a picture over time of how conditions are recorded by GPs across. The automated data collections note the most recent occurances of specific disease codes in each patients record as defined by the Quality Outcomes Framework (QOF). This gives a much greater level of detail than standard QOF data and is a benefit of the trusting relationship we have developed with practices. Obesity prevalence: count of patients with BMI of 3 or more, against the population of 16+ years patients who have a BMI recorded. Prevalence and the GP records data: Prevalence is calculated against the date-relevant GP registered populations for those practices which partook in the data collection. Some practices opted not to submit data for certain audits and therefore their populations are not part of specific prevalence calculations. 2/12/11 Page 15 of 22 Check for newer versions, visit

16 Alcohol admissions 29-1 Alcohol specific admissions ## Count This area rate rate All per 1, 6. per 1, Male per 1, 8.1 per 1, Female per 1, 3.8 per 1, This MSOA 2 rate per ALL specific admissions, MSOAs in ranked All Male Female Alcohol attributable admissions This area rate rate All 13.3 per 1, 18.7 per 1, Male 15.7 per 1, 23.1 per 1, Female 11. per 1, 14.4 per 1, rate per ALL Alcohol attributable admissions MSOAs in ranked All Male Female Attributable admissions (as a proportion of all admissions) % of all admissions (area) % of all admissions () All 5. % 7.2 % Male 7.2 % 1.3 % Female 3.6 % 4.8 % 15 % 1 5 ALL attributable admissions as a proportion of all admissions, MSOAs in ranked All Male Female The misuse of alcohol is associated with a wide range of chronic health conditions such as liver disease, hypertension, some cancers, impotence and mental health problems. It has a direct association with accidents, criminal offending, domestic violence and risky sexual behaviour. It also has hidden impacts on educational attainment and workplace productivity. Within this MSOA, alcohol specific admissions are lower than the average, and the attributable admissions are also lower than average. Source: Hospital episode statistics 29-1 and NWPHO alcohol attributable fractions. Maps show data split into groups each holding about a fifth of 18 MSOA in, for full scale maps with legends please contact Adam.taylor@nhsleeds.nhs.uk. Attributable admissions as a proportion of all admissions use 29-1 admissions. Rates are calculated against GP registered and resident population January /12/11 Page 16 of 3 Check for newer versions, visit

17 Admissions / Mortality rates A&E admissions codes ## Accident and Emergency, number of attendances 29-1: top-ten 384 Diagnosis not classifiable 56,248 Diagnosis not classifiable 37 (blank) 41,419 (blank) 144 Dislocation/fracture/joint injury/amputation 14,367 Sprain/ligament injury 141 Sprain/ligament injury 11,858 Contusion/abrasion 118 Contusion/abrasion 11,578 Gastrointestinal conditions 87 Cardiac conditions 11,8 Dislocation/fracture/joint injury/amputation 86 Gastrointestinal conditions 1,652 Cardiac conditions 69 Respiratory conditions 9,193 Soft tissue inflammation 65 Soft tissue inflammation 8,691 Respiratory conditions 64 Laceration 5,518 Central Nervous System conditions (excl.strokes) 49 Head injury 5,25 Urological conditions (including cystitis) 43 Urological conditions (including cystitis) 4,737 Head injury This area Admissions rate per 1, average: 2, 4, 6, 4,11 Gynaecology (/Females) 3,65 Obstetrics (/Females) 2,18 General Surgery 1,742 Trauma & Orthopaedics 1,485 Paediatrics 1,418 Gastroenterology 1,45 Accident & Emergency 1,325 Urology 1,24 Medical Oncology 1,229 General Medicine The top emergency admissions are similar to overall with injuries overall ranking higher than average. This MSOA has similar rates of admission per 1, population compared to overall with gynaecology being the highest. Rates are for the registered population unless specified otherwise - gender specific only items for instance. Source: Mortality - ONS deaths extract, GP registered populations. Admissions rate, Hospital Episode Statistics (HES) GP registered populations. A&E admission codes (1st diagnosis) Hospital Episode Statistics (HES) 15/12/11 Page 17 of 3 Check for newer versions, visit

18 Mortality rates, under 75s 26-8 Mortality rates per hundred thousand for this MSOA is listed below for all causes and three major sub headings - cancer mortality, circulatory disease mortality, and respiratory disease mortality. A rate is shown for Males, Females, and All. The charts display this information alongside that for and Deprived. All Males Females Mortality, all Causes Cancer mortality Circulatory disease mortality Respiratory disease mortality this MSOA Deprived Mortality, all Causes Rates per 1, All Male Female Cancer Mortality rates per 1, Circulatory disease Mortality rates per 1, Respiratory disease Mortality rates per 1, All Male Female Rates are for the registered population unless specified otherwise - gender specific only items for instance. Source: Mortality - ONS deaths extract, GP registered populations. Admissions rate, Hospital Episode Statistics (HES) GP registered populations. A&E admission codes (1st diagnosis) Hospital Episode Statistics (HES) 15/12/11 Page 18 of 3 Check for newer versions, visit

19 Adult Social Care (ASC) Source: LCC Adult Social Care data Referrals to ASC by source 165 which is.8% of the 19,831 total (The average number of referrals for an MSOA in is 184) This area Family, friend, neighbour Housing Dept / Assoc. Adult Social Care Legal agency Other Other LA Dept Primary health Secondary health Self Referral Unspecified % 1% 2% 3% 4% What proportion of referrals were signposted for action by other agencies? Signposted Not signposted This area % 1% 2% 3% 4% 5% 6% 7% 8% 9% 1% Number of ASC assessments completed 56 which is.8% of the 7,324 total % Chart shows all MSOAs in and this MSOA in red ASC services provided of the 27 which is.6% 4,691 total % Chart shows all MSOAs in and this MSOA in red What proportion of completed ASC assessments led to services being provided? This area Provided NOT offered % 1% 2% 3% 4% 5% 6% 7% 8% 9% 1% This area has slightly below average referrals for Adult Social Care. Most referrals to Adult Social care comes from primary health. Overall, referrals from this source and from family and friends are significantly higher than average. Referrals from secondary care are lower than city wide averages. Referrals data includes 1,233 referrals which are attributed to 'Outside ' or 'Unspecified' locations. These 1,233 referrals are not included in the total of 19,831 mentioned above as they are not attributed to an MSOA in. 15/12/11 Page 19 of 3 Check for newer versions, visit

20 Provision and safeguarding Source: LCC Adult Social Care data ASC supported residential 6 which is.6% of the 946 total and nursing care admissions (18+ years) % of total Chart shows all MSOA in and this MSOA in red Domiciliary care and care home provision are two of the largest services commissioned by Adult Social Care. The area is around the average for admissions to care homes and for domiciliary care. Referrals for adult safeguarding concerns in the area are proportionately low in this area. Number of people aged 18+ who received domiciliary care at some point in the year 43 which is.8% of the 534 total % of total.5 Chart shows all MSOA in and this MSOA in red Safeguarding referral at some point in year 1 which is.4% of the 2726 total % of total 1 Chart shows all MSOA in and this MSOA in red Maps are of the same "% of total" as the charts, and divide the 18 MSOA in into 5 groups of almost equal number of MSOA. For larger maps with legends please contact adam.taylor@nhsleeds.nhs.uk 15/12/11 Page 2 of 3 Check for newer versions, visit

21 Notes relating to Adult Social Care / Provision and safeguarding Adults who may be in need of social care are referred to their local authority for advice or assessment of their needs. These referrals come from a range of sources including the individual, their family and friends or from other agencies. Not surprisingly, the highest number of referrals are made by health agencies who become aware that a person may be in need of practical support following an accident or illness. These referrals are distinguished in this data by those which come following an admission to hospital (secondary health care) and those which are made through GP practices (primary health care). Early intervention can often promote independence and prevent emergencies which can lead to admissions to care homes or hospital. In some areas referrals to the local authority about people with adult social care needs come from a broad range of community and family sources. This suggests strong local support for people with social care needs. Areas where there are higher proportions of referrals from sources other than secondary care are likely to be identifying potential need at earlier stages than those where the highest proportion of referrals comes from secondary health care. Referrals are signposted i.e. directed to other agencies when other agencies are identified as being more appropriate to respond to the individual's need. As it is best to identify the most appropriate sources of meeting people's needs at the earliest opportunity, it is generally better for levels of signposting to be low. If a person has been identified as potentially requiring a social care service, the individual is assessed to see if they have substantial or critical care needs. In general, we would expect areas to be performing at city wide averages in terms of the proportion of assessments that lead to services being provided. Areas where high levels of services are provided following an assessment are areas where high levels of adult social care need are identified. Domiciliary care is practical, personal care provided in a person's own home. Care home support includes residential and nursing care for older people. Data referring to these services includes only those people who require support from the local authority to receive their care. It does not include people who have elected to purchase these services with their own resources. Areas with high levels of support reflect high levels of social care need which are requiring support form the local authority. In general, most people would prefer to receive their social care in their own homes. Areas where there are higher proportions of people receiving domiciliary care and lower proportions receiving residential care are likely to be more effectively meeting community aspirations for independent living. 15/12/11 Page 21 of 3 Check for newer versions, visit

22 MSOA - E22418 Health and Care Facilities Legend E22418 Neighbourhood Network Boundaries GP Surgeries Day Centres Homes for Older People (LCC) Independent Residential Homes (With EMI) Independent Residential EMI Homes Independent Residential Homes Independent EMI Nursing Homes Independent Nursing Homes Extra Care Homes RSL Sheltered Homes Sheltered Homes (LCC) Neighbourhood Elders Team PRODUCED BY THE BUSINESS TRANFORMATION TEAM, LEEDS CITY COUNCIL REF : 211 : 13 : E22418 This map is based upon the Ordnance Survey's Digital Data with the permission of the Ordnance Survey on behalf of the Controller of Her Majesty's Stationery Office. Unauthorised reproduction infringes Crown Copyright and may lead to prosecution or civil proceedings Crown Copyright. All rights reserved. City Council O.S. Licence No (21) 17/11/11 15/12/11 Page of 3 29 Check for newer versions, visit

23 index E Population Acorn Profile Acorn is a nationwide population segmentation tool. It combines geography with demographics and lifestyle information, and places where people live with their underlying characteristics and behaviour, to create a tool for understanding the different types of people in different areas throughout the country. Over 4 variables were used to define the different Acorn types. Of these variables, 3% were sourced from the 21 Census. The remainder were derived from CACI s consumer lifestyle databases, which cover all of the UK s 49 million adults and 25 million households. Acorn Category Profile This area Index ( = 1) number in this area % % 1 2 index 1 Wealthy Achievers Urban Prosperity Comfortably Off 3, Moderate Means 1, Hard Pressed 1, Unclassified. 1.1 Total Population 7,371 Acorn Group Profile This area Index ( = 1) number in this area % % 1 2 index A Wealthy Executives. 6.4 B Affluent Greys. 2.5 C Flourishing Families D Prosperous Professionals. 2.5 E Educated Urbanites. 6.1 F Aspiring Singles. 5.2 G Starting Out H Secure Families 3, I Settled Suburbia J Prudent Pensioners. 2. K Asian Communities. 2.1 L Post Industrial Families M Blue Collar Roots N Struggling Families 1, O Burdened Singles P High Rise Hardship Q Inner City Adversity..5 Unclassified. 1.1 Total Population 7,371 For more information about Acorn, including the characteristics of the categories, groups and types listed here, visit 28-based subnational population projections, National Statistics and 28-based interim population projections, GAD Crown copyright material is reproduced with the permission of the controller of HMSO InSite CACI Limited, 211 All rights reserved 3-Oct-11 17/11/11 15/12/11 Page of 3 29 Check for newer versions, visit

24 21 Population Acorn Profile continued This area Index ( = 1) Acorn Type Profile number in this area % % index Wealthy Mature Professionals, Large Houses Wealthy Working Families with Mortgages Villages with Wealthy Commuters Well-Off Managers, Larger Houses Older Affluent Professionals..8 6 Farming Communities.. 7 Old People, Detached Homes..8 8 Mature Couples, Smaller Detached Homes..9 9 Older Families, Prosperous Suburbs Well-Off Working Families with Mortgages Well-Off Managers, Detached Houses Large Families and Houses in Rural Areas.. 13 Well-Off Professionals, Larger Houses & Converted Flats Older Professionals in Suburban Houses & Apartments Affluent Urban Professionals, Flats Prosperous Young Professionals, Flats Young Educated Workers, Flats Multi-Ethnic Young, Converted Flats Suburban Privately Renting Professionals Student Flats and Cosmopolitan Sharers Singles and Sharers, Multi-Ethnic Areas Low Income Singles, Small Rented Flats Student Terraces Young Couples, Flats and Terraces White-Collar Singles/Sharers, Terraces Younger White-Collar Couples with Mortgages Middle Income, Home Owning Areas Working Families with Mortgages Mature Families in Suburban Semis Established Home Owning Workers 1, Home Owning Asian Family Areas Retired Home Owners Middle Income, Older Couples Lower Incomes, Older People, Semis Elderly Singles, Purpose Built Flats Older People, Flats Crowded Asian Terraces Low Income Asian Families Skilled Older Families, Terraces Young Working Families Skilled Workers, Semis and Terraces Home Owning Families, Terraces Older People, Rented Terraces Low Income Larger Families, Semis Low Income, Older People, Smaller Semis Low Income, Routine Jobs, Terraces and Flats Low Income Families, Terraced Estates Families and Single Parents, Semis and Terraces Large Families and Single Parents, Many Children Single Elderly People, Council Flats Single Parents and Pensioners, Council Terraces Families and Single Parents, Council Flats Old People, Many High Rise Flats Singles and Single Parents, High Rise Estates Multi-Ethnic Purpose Built Estates Multi-Ethnic, Crowded Flats..2 Unclassified. 1.1 Total Population 7,371 17/11/11 15/12/11 Page of 3 29 Check for newer versions, visit

25 Acorn population summary Area: Base: This page shows the Acorn groups and types who are most over represented in this area, when the area is compared to as a whole. Total Population: 7,371 Key Categories: Comfortably Off Moderate Means Hard Pressed Index This area Index Profile % % = 1 Key Groups: 3.H Secure Families 3, L Post Industrial Families C Flourishing Families M Blue Collar Roots P High Rise Hardship Key Types: 3.H.3 Established Home Owning Workers 1, C.1 Well-Off Working Families with Mortgages H.26 Younger White Collar Couples with Mortgages L.39 Skilled Older Families, Terraces N.44 Low Income Larger Families, Semis H.28 Working Families with Mortgages H.29 Mature Families in Suburban Semis M.41 Skilled Workers, Semis and Terraces P.54 Singles and Single Parents, High Rise Estates C.11 Well-Off Managers, Detached Houses N.45 Low Income, Older People, Smaller Semis I33 Middle Income, Older Couples M.42 Home Owning Families, Terraces based subnational population projections, National Statistics and 29-based interim population projections, GAD Crown copyright material is reproduced with the permission of the controller of HMSO InSite CACI Limited, 211 All rights reserved 3-Oct-11 17/11/11 15/12/11 Page of 3 29 Check for newer versions, visit

26 21 Health Acorn population profile Area: Compared HealthAcorn is an extension to the Acorn classification system. The classification groups the population of Great Britain into 4 groups, 25 types and 6 sub-types for more in-depth analysis. By analysing diet, illness and exercise characteristics as well as demographic attributes, Health Acorn provides an in-depth understanding of different communities in every part of the country. The classification names and descriptions have been chosen to be simple and non-judgemental. Health Acorn is shown here as background to our locally recorded GP data. Health Acorn Group Profile Index, = 1 Profile this area 1 2 % % index 1 Existing Problems 1, Future Problems Possible Future Concerns 1, Healthy 4, Unclassified..9 Total Population: 7, Health Acorn Type Profile Index, = 1 Profile this area 1 2 % % index 1 Older couples, traditional diets, cardiac issues..8 2 Disadvantaged elderly, poor diet, chronic health Vulnerable disadvantaged, smokers with high levels of obesity Post industrial pensioners with long term illness Deprived neighbourhoods with poor diet, smokers Elderly with associated health issues Home owning pensioners, traditional diets Disadvantaged neighbourhoods with poor diet & severe health issues Poor single parent families with lifestyle related illnesses Multi-ethnic, high smoking, high fast food consumption Urban estates with sedentary lifestyle & low fruit & veg consumption Deprived multi-ethnic estates, smokers and overweight Disadvantaged multi-ethnic ygr adults, with high levels of smoking Less affluent neighbourhoods, high fast food, sedentary lifestyles Affluent healthy pensioners dining out Home owning older couples, high levels of fat & confectionery Affluent professionals, high alcohol consumption, dining out Low income families with some smokers Affluent families with some dietary concerns Young mobile population with good health and diet Younger affluent, healthy professionals Students and young professionals, living well Towns and villages with average health and diet 2, Mixed communities with better than average health Affluent towns and villages with excellent health and diet 1, Unclassified..9 Total Population: 7, Source: TNS 26 CACI Limited 211 Crown Copyright Source: 21 Census Area Statistics InSite CACI Limited, 211 All rights reserved 3-Oct-11 For more information about Health Acorn, including characteristics of these groups and types, go to: 17/11/11 15/12/11 Page of 3 29 Check for newer versions, visit

27 21 Population Health Acorn Summary Area: Compared to: Index ( = 1) number in this area this area 1 2 Health Acorn Groups 7,371 % % index 1 Existing Problems 1, Future Problems Possible Future Concerns 1, Healthy 4, Unclassified..9 Health Indicators 7,371 (as predicted by Health Acorn, not from GP records) Currently Smoke 1, Have BMI > 3 2, Physical Activity less than once/week 3, Have Arthritis 1, Have Asthma Have had a Heart Attack Have High Blood Pressure 1, Have Diabetes not treated with Insulin Suffer from Depression 1, Have Angina Have High Cholesterol 1, Population 7, Households 3,268 Health Indicators, percent of population compared to Smoke BMI Inactive Arthritis Asthma Heart Attack Blood Pressure Diabetes Depression Angina Cholesterol % Weekly Spend Spend in area Spend in Index ( = 1) in Area per person per person Expenditure Data * ( /week) index Tobacco Spend 32, Alcohol Spend 28, * These figures are calculated from data from the Expenditure and Food Survey (EFS) conducted by the Office for National Statistics. The analyses in this report are carried out by CACI and those who carried out the original collection and analysis of the data bear no responsibility for their further analysis or interpretation. The above spend figures are based on current prices for the year stated. The Classification of Individual Consumption by Purpose (COICOP) is published by the UN Statistics Division to provide an international standard for the reporting of expenditure. Totals are controlled to national figures supplied by ONS Consumer Trends. Crown Copyright material is reproduced with the permission of the controller of HMSO Sourced using 28-based interim population projections from the Government Actuary's Department Source: TNS 29 CACI Limited 211 Crown Copyright Source: 21 Census Area Statistics InSite CACI Limited, 211 All rights reserved 17/11/11 15/12/11 Page of 3 29 Check for newer versions, visit 3-Oct-11

28 Glossary E22418 Acorn A nationwide population segmentation tool. Combines geography with demographics and lifestyle information, places where people live with their underlying characteristics and behaviour, to create a tool for understanding the different types of people in different areas throughout the country. Over 4 variables were used to build describe the different Acorn types. Of these variables, 3% were sourced from the 21 Census. The remainder were derived from CACI s consumer lifestyle databases, which cover all of the UK s 49 million adults and 25 million households. For more information about Acorn, including the characteristics of the categories, groups and types listed here, visit Alcohol attributable admission A hospital admission which is partly caused by alcohol. NWPHO alcohol attributable fractions assign values to each type of admission, rating each by the effect alcohol has in its cause. Attributable admissions are sums of these fractions, not actual admissions. For more details see Alcohol specific admission A hospital admission solely caused by alcohol. APHO BME BMI Association of Public Health Observatories Black and Minority Ethnic Body Mass Index Deprived The area of where LSOAs rank in England in the 1% most deprived, in terms of Index of Multiple Deprivation (IMD). Almost 2% of the population live in this area. DSR - Directly Age Standardised Rate Age standardising compensates for the fact that populations usually have varied age profiles. DSR is usually expressed as a rate per 1, and means we can exclude differences in age structure when investigating the underlying causes of different rates (see example below) Wetherby West MSOA has a high prevalence of CHD (in the highest fifth of the MSOAs). This would be expected as the MSOA has an elderly population and CHD is more prevalent in older people. Directly age standardised rates show how many people (in most cases per 1,) would be expected to have CHD in Wetherby West if the population had the same structure as the European Standard Age Profile. (This has a even distribution between age groups up until 55 before gradually decreasing in older ages). Age standardised rates for CHD in Wetherby West are well below average, in the lowest fifth of the MSOAs. This shows that, while there are a lot of people with CHD in Wetherby West, it is the age of the population which is a large factor rather than other possible contributing factors. Health Acorn An extension to the Acorn classification system. The classification groups the population of Great Britain into 4 groups, 25 types and 6 sub-types for more in-depth analysis. By analysing diet, illness and exercise characteristics as well as demographic attributes, Health Acorn provides an in-depth understanding of different communities in every part of the country. The classification names and descriptions have been chosen to be simple and non-judgemental. For more information about Acorn, including the characteristics of the categories, groups and types listed here, visit Index An index of 1 for this MSOA means this MSOA has the same proportionof its population recorded with a condition as does. An index of 2 means the MSOA has twice the proportionthat has. Index scores below 1 mean the MSOA has a lower proportion than. Index attempts to illustrate how closely the MSOA matches. IMD - Index of Multiple Deprivation Measures relative levels of deprivation in small areas of England called Lower Super Output Areas (LSOAs). The English Indices of Deprivation are a continuous measure of relative deprivation, therefore there is no definitive point on the scale below which areas are considered to be deprived and above which they are not. IMD scores and ranks have been produced for all LSOA in England in 24, 27 and 21. LSOA - Lower Super Output Area These are geographic areas designed nationally to improve the reporting of small area statistics in England. LSOAs when originally generated had between 1 and 3 people living in them with an average population of 15 people. 17/11/11 15/12/11 Page of 3 29 Check for newer versions, visit

29 Glossary Credits E22418 MSOA - Middle Super Output Area These are geographic areas designed nationally to improve the reporting of small area statistics in England and Wales. MSOAs are built from groups of Lower Super Output Areas (LSOAs). The minimum population of an MSOA is 5, and the mean is 7,2 (when originally generated). There are 18 MSOA in. NEET not in education,employment, or training NWPHO North West Public Health Observatory Origins software Analyses forename and surname of every GP registered patient in and gives a calculated 'ethnicity' for each patient. This is considered to be an indication of 'country of origin' and not actual ethnicity. These 'countries of origin' are grouped up into geography levels and this is what is displayed here. The same software gives a likely faith for each patient. Prevalence The number of cases divided by the population. In this report it can be thought of as the proportion of the relevant population with diabetes / CHD etc. Prevalence is expressed as a percentage. However an elderly population can be expected to have more cases (a higher prevalence) of certain conditions than a younger population. To compensate for variations in population ages, data can be directly age standardised (see above). Rank MSOA are often ranked in this report. This simply puts them in logical order from largest to smallest. Index The number of cases that would be expected in a population sized 1,. DSR (see above) usually produces rates per 1,. In this report the MSOA possibly has a population of around 5, people. Rates per 5, would be too small to consider and would not allow comparison with another MSOA of different population size. By producing rates per 1, for all areas they can be directly compared. Q1 or Qtr1,2,3,4 Quarters in this report are financial year quarters. So Q1 data is from April June with Q4 running from January to March. Credits GP audit data supplied by James Womack (Senior Public Health Information Analyst). Alcohol admissions, A&E admissions, populations data and profile introduction by Frank Wood (Information Manager). Origins, Admissions, Mortality data by Richard Dixon (Information Manager) at NHS. ASC data supplied by Stuart Cameron- Strickland (Head of Policy Performance & Improvement and Adam Mitchell) at City Council. Neighbourhoods data, Neighbourhood Index, Service map and School Census data supplied by Jacky Pruckner (Information Officer, Strategy and Development) and Richard Haslett (Research Officer, Business Transformation Team) at City Council. Report produced by Adam Taylor (Senior Information Analyst at NHS ) using CACI InSite software. Commentary thanks to: Sam Ramsey (Senior Administrator), Lucy Jackson (Consultant in Public Health), Jon Fear (Consultant in Public Health and Deputy Director of Public Health), Richard Dixon (Information Manager), Brenda Fullard (Head of Healthy Living and Inequalities), Bernadette Murphy (Public Health Manager), Diane Burke (Health Improvement Principal), Paul Lambert (Advanced Health Improvement Specialist - Tobacco Control), Lorraine Shuker (Health Improvement Specialist, Workplace- Advanced), Louise Cresswell (Health Improvement Specialist - Neighbourhoods), Pia Bruhn (Health Inequalities Manager - Vulnerable Groups), Steph Jorysz (Health Improvement Specialist- Neighbourhoods), Gemma Mann (Health Improvement Specialist) at NHS. Stuart Cameron-Strickland (Head of Policy Performance & Improvement, Adult Social Services), Jacky Pruckner (Information Officer, Strategy and Development, Business Transformation) at City Council. Essential support from Kathryn Williams, Project Support Officer and Nichola Stephens, Senior Information Manager at NHS. Editing team: Penny Mares, Barbara MacDonald. Penny Mares Associates, penny.mares@btinternet.com 17/11/11 15/12/11 Page of 3 29 Check for newer versions, visit