Closing time Counting the cost of alcoholattributable hospital admissions in London Technical report Peninah Murage, John Hamm London Regional Public Health Group (Department of Health) Robel Feleke London Health Observatory March 2012 About our organisations The London Regional Public Health Group (RPHG) is part of the Department of Health’s regional presence. Together with colleagues working in social care, we are responsible for ensuring that implementation of DH national policy reflects and harnesses regional and local needs in order to improve the health and wellbeing of all Londoners. The RPHG works with a wide range of organisations to promote sustainable improvements in Londoners’ health and wellbeing. The London Health Observatory (LHO) is one of 12 Public Health Observatories (PHOs) working across the five nations of England, Scotland, Wales, Northern Ireland and the Republic of Ireland. The Public Health Observatories in England work together through a national work programme which contains both national and local elements. We produce information, data and intelligence on people's health and health care for practitioners, policy makers and the wider community. Our expertise lies in turning information and data into meaningful health intelligence to support decisionmakers. The London Health Observatory works in partnership with the NHS, local authorities, researchers, the Mayor of London, the Greater London Authority and other local and national agencies. The LHO’s national lead areas are health inequalities, ethnic health and tobacco. The LHO is currently hosted by London Health Programmes. For more information on the LHO see www.lho.org.uk, and for more information on London Health Programmes please see www.londonhp.nhs.uk. 1 Key messages (Taken from the summary report Closing time: counting the cost of alcohol-attributable hospital admissions in London) Alcohol misuse imposes a major preventable burden on hospital services in London In 2008/09, it is estimated that there were just under 111,000 hospital admissions in London attributable to alcohol, representing about 6% of total hospital admissions in the capital. Of these admissions, 28,000 were for “alcohol-specific” conditions in which alcohol is a factor in all cases. The remaining 83,000 admissions were “alcohol-related” – admissions in which alcohol is implicated in a proportion of, but not all, cases. 67% of all alcohol-attributable admissions were emergency admissions, but the proportion was higher for alcohol-specific conditions (89%) than alcohol-related conditions (59%). Alcohol-attributable admissions impose high costs on London’s health services Hospital admissions attributed to alcohol in 2008/09 cost the NHS in London an estimated £264 million, or £34 for every London resident. Of this total, £51 million was estimated to be the cost of alcohol-specific hospital admissions. The biggest component of this cost was for admissions classed as mental and behavioural disorders (£30 million). The remaining £213 million was estimated to be for alcohol-related admissions. The biggest component of this was £103 million for diseases caused by high blood pressure. The costs of alcohol alcohol-attributable admissions fall unequally within London In 2008/09, costs of alcohol-attributable hospital admissions varied across London boroughs, ranging from £5 million in Kingston to £14.7 million in Ealing, nearly a three-fold difference. Costs per resident across London boroughs ranged from £25 in Tower Hamlets to £47 in Ealing. 1 The pattern of inequality emerging is different from that more commonly seen in the capital and probably reflects the very distinctive and different drinking behaviours among London’s diverse communities. Alcohol-attributable admissions used an estimated 1,600 beds in London in 2008/09 Just over 585,000 hospital bed days were estimated to have been used for alcohol-attributable admissions in London in 2008/09 - equivalent to 1,600 beds. Of the total bed days used, 29% were for alcohol-specific conditions and 71% for alcohol-related conditions. For all alcohol-attributable admissions, 78% of bed days were used by patients who had an emergency admission. 2 Contents 1. Introduction ........................................................................................................... 4 1.1. About the data ................................................................................................ 4 2. Use of resources ................................................................................................... 6 2.1 Introduction ...................................................................................................... 6 2.2 Estimating the cost of alcohol attributable hospital admissions ........................ 6 2.3 Analysis of bed day use and mean length of stay .......................................... 10 2.4 Analysis of hospital admissions with zero bed days ....................................... 10 2.5 Analysis of hospital provider spell bed day use .............................................. 11 2.6 Mean length of stay of the hospital provider spell ........................................... 17 2.7. Clinical coding............................................................................................... 21 3. Reducing readmissions ....................................................................................... 24 3.1 What might this mean for London? ................................................................ 25 4. Alcohol attributable hospital admissions arriving via Accident and Emergency departments ......................................................................................................... 27 4.1 Introduction .................................................................................................... 27 4.2 Source of referral and mode of arrival ............................................................ 27 4.3 Day and month of arrival in A&E .................................................................... 28 4.5 Time of arrival ................................................................................................ 30 Annexe 1 :List of ICD10 codes for diagnoses relating to alcohol and their attributable fractions. ............................................................................................................. 33 References.............................................................................................................. 35 3 1. Introduction This report arose from suggested further analysis of resource use arising from a previous London Health Observatory report on alcohol attributable hospital admissions1. The earlier report presented summary data on numbers and rates of alcohol attributable hospital admissions in London by sex, diagnosis, admission type and ethnicity. Accompanying the report was a data pack for each local authority in London. Hospital admissions for alcohol attributable conditions are a combination of those conditions that are wholly attributable to alcohol (alcohol-specific conditions) and those conditions that are partially attributable to alcohol (alcohol-related conditions). The distinction between alcohol-specific and alcohol-related hospital admissions is important in the subsequent analysis as only alcohol-specific hospital admissions represent unique individuals. The objective of this report is to compliment the earlier report by providing an estimate of resource use in terms of the hospital cost and length of stay for alcohol attributable hospital admissions. A summary report derived from analysis shown in here is also available To illustrate the potential of linked data, linked Accident and Emergency data and hospital admissions data, were analysed by month, day of the week and hour of the day of the alcohol attributable hospital admissions. 1.1. About the data The analyses in this report were based on Hospital Episode Statistics (HES) data. HES data was accessed in two ways, using the online interrogation service and by using an HES data extract specifically for alcohol attributable hospital admissions for the financial year 2008/09 provided to Public Health Observatories. Hospital data consists of episodes and hospital provider spells. A consultant episode is defined as a single period of care under one consultant. A hospital provider spell is the period between admission and discharge and may contain one or more consultant episodes. The first consultant episode in the hospital provider spell is termed the admission episode, illustrated by the diagram below taken from HESonline.2 4 Alcohol attributable hospital admissions have been identified in HES data by the NHS Information Centre for Health and Social Care using a standard definition developed for the NHS and Local Authority indicators VSC 23 and the National Indicator NI 39. This is based on a set of diagnoses and associated alcohol attributable fractions (AAFs).3 Annexe 1 contains a list of diagnosis and attributable fractions. The attributable fraction represents the proportion of admissions for each diagnosis that are estimated to be due to harm caused by alcohol. For example, it is estimated that 32% of admissions for hypertension in men aged 35-44 are attributable to alcohol. Therefore, the attributable fraction for admissions for hypertension in this age and sex group is 0.32. For alcoholspecific conditions such as alcoholic liver disease, the attributable fraction is one. For alcohol-related conditions, the attributable fraction is less than one. To assign the attributable fraction all diagnoses of the hospital admission episode (up to 20) are compared with the list of alcohol attributable diagnoses. If multiple diagnoses are matched, the diagnosis with the largest attributable fraction is selected as defining the admission. Alcohol attributable admissions are reported by applying the alcohol attributable fractions to the measure (admissions or resource) in question. For example, if 100 men aged between 35-44 were admitted with hypertension, and the attributable fraction is 0.32 this would equate to 32 alcohol attributable hospital admissions. The hospital provider spell was used to estimate resource use. Alcohol attributable hospital admissions were linked to any subsequent consultant episode to form a complete hospital provide spell. HES data accessed via the HES interrogation service for 2009/10 onwards contained a linked HES Accident and Emergency dataset. 5 2. Use of resources 2.1 Introduction The London Health Observatory developed a methodology4 for costing smoking attributable hospital admissions for use in the Local Tobacco Control Profiles for England. This method was used to provide cost estimates for alcohol attributable hospital admissions. The main difference was in the method of identifying attributable factions, for alcohol this was based on all diagnoses in the hospital admission episode, for smoking this was the primary diagnosis on admission. Alcohol attributable hospital admissions for 2008/09 were linked to any subsequent consultant episode to form a complete hospital provider spell for that admission. A Healthcare Resource Group (HRG) code was generated for each consultant episode in the hospital provider spell and the most resource intensive HRG identified. A HRG based Department of Health Payment by Results national tariff for 2008/095 was applied to the hospital provider spells for 2008/09. Any additional costs due to the use of specialist services, extended or shortened length of stay, and market forces factor (MFF) were added to this cost. A tariff could not be ascribed to 2.2 percent or 8,665 alcohol attributable hospital admissions. The majority of these (7,544) were in the Mental Health HRG chapter T and for which tariffs have not been developed, and 273, predominantly Liver Transplants, were in a non-mandatory tariff category. The remaining episodes without a tariff were really a function of the data presented to the HRG grouping process; 649 were undefined HRG groups and 169 had “Other” as a method of admission. The proportion of episodes without a tariff varied from 0.8 percent in Havering to 4.4 percent in Lambeth. 2.2 Estimating the cost of alcohol attributable hospital admissions In total, there were 110,596 hospital admissions in London attributable to alcohol in 2008/09. Alcohol-specific hospital admissions accounted for a quarter (27,942) and alcohol-related three quarters of alcohol attributable hospital admissions. Two thirds of alcohol attributable hospital admissions were classified as emergency admissions (73,669) and 30 percent (34,572) as elective. The overall number of hospital admissions in London 2008/09 was 1,876,298.6 This implies alcohol, to a greater or lesser extent is associated with nearly 6 percent of all hospital admissions. 6 Table 2.1: Summary of hospital admissions in London 2008/09 Hospital Admissions Alcohol-specific Alcohol-related Total Elective 2,734 31,838 34,572 Emergency 24,890 48,779 73,669 Other including maternity 318 2,038 2,356 Total 27,942 82,654 110,596 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London and London Health Observatory Applying the methods described above it is estimated alcohol attributable hospital admissions cost the NHS in London £264.1 million in 2008/09. This varies by borough, from £14.7 million in Ealing to £5.0 million in Kingston, nearly a three-fold difference. Alcohol-specific hospital admissions were estimated to cost £51.2 million and alcohol-related hospital admissions £212.9 million. Mental and behavioural disorders due to use of alcohol (ICD diagnostic code F10) was the single largest alcohol-specific hospital admissions group (£30.1 million). Hypertensive diseases were the largest alcohol-related hospital admission group (£103.3 million). Overall, 20 diagnostic groups were estimate to cost at least £1 million. Table 2.2 shows the breakdown of cost to the NHS by local authority of residence and Table 2.3 shows this by diagnostic group. 7 Table 2.2: Estimated cost of alcohol attributable hospital admissions 2008/09 Local Authority City of London Barking & Dagenham Barnet Bexley Brent Bromley Camden Croydon Ealing Enfield Greenwich Hackney Hammersmith & Fulham Haringey Harrow Havering Hillingdon Hounslow Islington Kensington & Chelsea Kingston-upon-Thames Lambeth Lewisham Merton Newham Redbridge Richmond upon Thames Southwark Sutton Tower Hamlets Waltham Forest Wandsworth Westminster Total for London Estimated cost of alcohol attributable hospital admissions Total Cost £000s Per capita £s 210.8 £18.7 6,444.7 £37.6 10,413.0 £30.8 5,753.4 £25.6 10,367.2 £40.7 11,938.7 £38.8 7,435.7 £32.8 12,787.6 £37.5 14,718.8 £47.2 9,570.6 £33.1 6,443.3 £28.8 6,644.7 £31.2 7,040.5 £41.8 7,584.8 £33.7 7,676.2 £34.1 8,834.7 £38.0 10,149.5 £39.3 10,094.4 £43.9 7,429.9 £39.4 5,453.8 £31.9 5,001.3 £30.4 8,584.7 £30.5 9,243.5 £35.3 6,596.3 £32.5 8,388.3 £34.6 8,215.1 £31.1 5,934.3 £31.7 8,463.6 £29.9 6,569.5 £34.7 5,763.4 £25.4 7,434.5 £33.6 9,109.0 £32.1 7,782.8 £31.6 264,078.9 £34.4 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London and London Health Observatory. Population denominator ONS mid year estimates 2008. 8 Table 2.3: Estimated cost of alcohol attributable hospital admissions 2008/09 by diagnostic group Diagnostic group Mental and behavioural disorders due to use of alcohol Alcoholic liver disease Chronic pancreatitis (alcohol induced) Ethanol poisoning Alcoholic cardiomyopathy Toxic effect of alcohol unspecified Alcoholic gastritis Degeneration of nervous system due to alcohol Alcoholic polyneuropathy Accidental poisioning by and exposure to alcohol Alcoholic myopathy Alcohol induced pseudo-Cushing's syndrome Methanol poisoning Total alcohol-specific diagnosis Alcohol- Hypertensive diseases related Cardiac arrhythmias AAF < 1 Epilepsy and Status epilepticus Fall injuries Fibrosis and cirrhosis of liver Malignant neoplasm of lip oral cavity and pharynx Assault Malignant neoplasm of breast Intentional self-harm Haemorrhagic stroke Spontaneous abortion Oesophageal varices Psoriasis Malignant neoplasm of oesophagus Road transport accidents Acute and chronic pancreatitis Pedestrian transport accident Malignant neoplasm of larynx Ischaemic stroke Malignant neoplasm of colon Other chronic pancreatitis Malignant neoplasm of rectum Work / machine injuries Malignant neoplasm of liver and intrahepatic bile ducts Fire injuries Gastro-oesophageal laceration-haemorrhage syndrome Inhalation and ingestion of food causing obstruction of respiratory tract Event of undetermined intent Sequelae of cerebrovascular disease Chronic hepatitis not elsewhere classified Firearm injuries Inhalation of gastric contents Exposure to excessive natural cold Drowning Water transport accidents Air / space transport accidents Total alcohol-related diagnosis Overall Total Alcoholspecific AAF=1 Cost £000s 30,088.2 16,462.2 2,116.9 979.6 464.4 366.4 295.4 213.4 149.1 34.8 9.2 1.2 0.5 51,181.2 103,327.1 53,594.7 20,362.6 7,475.8 5,413.0 3,201.1 2,068.2 1,679.0 1,627.0 1,589.5 1,586.6 1,256.5 1,239.0 1,100.4 1,060.6 1,043.0 847.6 659.1 491.3 422.3 411.8 362.7 323.8 319.5 250.7 240.1 227.6 192.8 133.0 131.9 84.9 82.8 51.8 17.2 12.7 9.8 212,897.7 264,078.9 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London and London Health Observatory. 9 The estimate cost of alcohol attributable hospital admissions in London is more than that estimated for smoking, £133.4 million in 2008/09.7 However, smoking attributable fractions are based on the primary diagnosis whereas alcohol attributable fractions search all of the available diagnoses on the admission record. This results in more hospital admissions being identified as alcohol attributable than smoking attributable, hence greater overall estimated costs. In London of the 398,087 hospital admissions containing an alcohol attributable diagnosis in 2008/09, 17 percent of these were identified based on the primary diagnosis. Other estimates of the NHS costs attributable to alcohol consumption in the UK have placed this at £3 billion,8 compared to £5 billion for smoking.9 Different methods for estimation were used and were not based on the national tariff. 2.3 Analysis of bed day use and mean length of stay Another indicator of the resources used by alcohol attributable hospital admissions is bed day use. To analyse bed days it is helpful to distinguish over night stays (an overnight stay being one or more days) from those admitted and discharged on the same day (zero bed days). To maintain comparability with the costing analysis the duration of the hospital spell has been reported. The mean length of stay is the mean for the hospital spell containing the alcohol attributable admission. Hospital spells with a zero duration of stay were excluded from the calculation of the mean length of stay. 2.4 Analysis of hospital admissions with zero bed days A large proportion, (37 percent) of all hospital spells with an alcohol attributable admission diagnosis were admitted and discharges on the same day (zero bed days). There was some variation by local authority with Lambeth reporting the lowest (24 percent) and Bromley the highest (45 percent). The majority of zero bed day hospital spells were elective admissions, 65 percent. Hospital admissions for hypertensive disease formed the single largest diagnostic group 54 percent of zero bed day hospital spells. Table 2.3 shows the distribution of zero day hospital spells for all and elective admissions respectively. The majority of admissions classified as alcohol-specific were emergency admissions, 85 percent, compared to 30 percent of alcohol-related admissions. In terms of the activity taking place within the elective hospital spells with zero bed days the single largest procedure, 15.7 percent was for cataract operations.i Hypertension, alcohol, diabetes and smoking are among a range of factors that can increase the risk of developing cataracts. i OPCS code version 4, C751 Insertion of prosthetic replacement for lens 10 Table 2.4: Analysis of same day hospital bed day use by alcohol attributable diagnosis, 2008/09 Diagnostic group Alcohol- Mental and behavioural disorders due to use of alcohol specific Alcoholic liver disease AAF=1 Ethanol poisoning Toxic effect of alcohol unspecified Chronic pancreatitis (alcohol induced) Alcoholic gastritis Alcoholic cardiomyopathy Accidental poisioning by and exposure to alcohol Alcoholic polyneuropathy Degeneration of nervous system due to alcohol Alcohol induced pseudo-Cushing's syndrome Total alcohol-specific Alcohol- Hypertensive diseases related Cardiac arrhythmias AAF<1 Malignant neoplasm of breast Fall injuries Epilepsy and Status epilepticus Malignant neoplasm of colon Spontaneous abortion Intentional self-harm Assault Malignant neoplasm of rectum Work / machine injuries Malignant neoplasm of oesophagus Oesophageal varices Malignant neoplasm of lip oral cavity and pharynx Fibrosis and cirrhosis of liver Road transport accidents Psoriasis Malignant neoplasm of liver and intrahepatic bile ducts Malignant neoplasm of larynx Other chronic pancreatitis Pedestrian transport accident Acute and chronic pancreatitis Event of undetermined intent Haemorrhagic stroke Sequelae of cerebrovascular disease Ischaemic stroke Gastro-oesophageal laceration-haemorrhage syndrome Chronic hepatitis not elsewhere classified Fire injuries Inhalation and ingestion of food causing obstruction of respiratory tract Firearm injuries Drowning Exposure to excessive natural cold Water transport accidents Inhalation of gastric contents Air / space transport accidents Total alcohol-related Overall Total All zero bed days Elective only Spells Per cent Spells Per cent 6,331 4.3% 529 0.5% 993 0.7% 674 0.7% 765 0.5% 1 0.0% 184 0.1% 91 0.1% 30 0.0% 70 0.0% 12 0.0% 45 0.0% 23 0.0% 14 0.0% 1 0.0% 13 0.0% 7 0.0% 5 0.0% 2 0.0% 2 0.0% 2 0.0% 8,513 5.8% 1,281 1.3% 79,284 53.6% 59,590 61.5% 13,524 9.1% 8,704 9.0% 10,517 7.1% 10,085 10.4% 6,540 4.4% 551 0.6% 4,821 3.3% 2,279 2.4% 4,566 3.1% 4,440 4.6% 4,262 2.9% 1,740 1.8% 2,692 1.8% 39 0.0% 2,358 1.6% 392 0.4% 2,044 1.4% 1,983 2.0% 1,384 0.9% 486 0.5% 1,305 0.9% 1,220 1.3% 952 0.6% 928 1.0% 858 0.6% 776 0.8% 814 0.6% 705 0.7% 746 0.5% 51 0.1% 724 0.5% 606 0.6% 273 0.2% 244 0.3% 236 0.2% 224 0.2% 229 0.2% 185 0.2% 191 0.1% 10 0.0% 176 0.1% 113 0.1% 161 0.1% 13 0.0% 156 0.1% 23 0.0% 122 0.1% 85 0.1% 105 0.1% 57 0.1% 76 0.1% 20 0.0% 73 0.0% 61 0.1% 71 0.0% 5 0.0% 58 0.0% 6 0.0% 32 0.0% 15 0.0% 6 0.0% 6 0.0% 6 0.0% 3 0.0% 1 0.0% 139,372 94.2% 95,636 98.7% 147,885 100.0% 96,917 100.0% Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London and London Health Observatory. 2.5 Analysis of hospital provider spell bed day use The number of hospital bed days used provides an alternative way of looking at resource use. Alcohol attributable fractions were applied to the duration of stay and overnight stays only were included. In total 585,513 hospital bed days were estimated to be attributable to alcohol in London in 2008/09. This is equivalent to 1,600 beds. Of the total bed days used 29 percent (167,684 bed days) were alcohol-specific and 71 percent (417,829) were alcohol-related. 11 Emergency admissions were the largest proportion of hospital bed days, 78 percent (457,084 bed days). This was true for both alcohol-specific and alcohol-related hospital admissions. Mental and behavioural disorders due to use of alcohol and alcoholic liver disease were the largest proportion of alcohol-specific hospital bed days, 93 percent (157,393 bed days). Hypertensive diseases and cardiac arrhythmias were the largest proportion of alcohol-related hospital bed days, 72 percent. This also corresponds with the distribution of estimated hospital costs by diagnosis. Tables 2.5 to 2.9 show the distribution of hospital bed days by method of admission, local authority and diagnosis. Table 2.5: Analysis of alcohol attributable hospital bed days (overnight stay) by method of admission, 2008/9 Alcohol-specific Method of Admission Hospital spells Alcohol-related Total bed Hospital days spells Total bed Hospital days spells Total Total bed days 26,088 11,504 75,206 12,930 101,294 134,481 35,167 322,603 51,102 457,084 7,115 1,587 20,019 1,872 27,134 17,646 167,684 48,259 417,829 65,905 585,513 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London and London Health Observatory. Elective Emergency Other including maternity Total 1,426 15,935 285 12 Table 2.6: Alcohol attributable hospital bed days (overnight stay) by local authority 2008/09 Alcohol-specific AAF=1 Local Authority City of London Barking & Dagenham LB Barnet LB Bexley LB Brent LB Bromley LB Camden LB Croydon LB Ealing LB Enfield LB Greenwich LB Hackney LB Hammersmith & Fulham LB Haringey LB Harrow LB Havering LB Hillingdon LB Hounslow LB Islington LB Kensington & Chelsea LB Kingston-upon-Thames LB Lambeth LB Lewisham LB Merton LB Newham LB Redbridge LB Richmond upon Thames LB Southwark LB Sutton LB Tower Hamlets LB Waltham Forest LB Wandsworth LB Westminster LB Total Hospital spells 33 336 460 345 642 666 777 713 1,000 403 579 601 640 519 335 311 576 628 595 444 318 875 811 412 459 442 309 800 381 467 484 639 646 17,646 Alcohol-related AAF <1 Total bed Hospital days spells 310 29 2,837 1,270 4,219 1,963 4,181 1,248 6,118 1,811 6,241 2,193 7,925 1,060 8,199 2,461 8,570 2,640 4,997 1,927 6,277 1,304 6,520 1,151 4,680 1,086 5,705 1,294 3,949 1,463 1,979 1,822 4,652 2,085 5,729 1,575 5,703 1,185 5,232 858 2,802 882 9,074 1,456 7,517 1,792 4,096 1,272 4,083 1,328 3,283 1,666 3,100 986 8,235 1,430 3,190 1,397 4,553 1,067 2,625 1,566 5,242 1,742 5,861 1,252 167,684 48,259 Total Total bed Hospital days spells 245 62 10,896 1,606 15,721 2,423 12,730 1,593 14,074 2,453 20,470 2,859 8,678 1,837 21,441 3,174 22,267 3,640 18,247 2,330 12,369 1,883 11,625 1,752 8,963 1,726 12,056 1,813 11,487 1,798 15,284 2,133 16,115 2,661 13,475 2,203 10,288 1,780 7,195 1,302 7,805 1,200 13,462 2,331 14,500 2,603 11,482 1,684 10,799 1,787 14,318 2,108 9,429 1,295 12,601 2,230 11,233 1,778 9,097 1,534 12,803 2,050 16,107 2,381 10,566 1,898 417,829 65,905 Total bed days 555 13,733 19,940 16,911 20,192 26,711 16,603 29,640 30,837 23,244 18,646 18,145 13,643 17,761 15,436 17,263 20,767 19,204 15,991 12,427 10,607 22,536 22,017 15,578 14,882 17,601 12,529 20,836 14,423 13,650 15,428 21,349 16,427 585,513 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London and London Health Observatory. 13 Table 2.7: Analysis of hospital bed days (overnight stay) by alcohol attributable diagnosis, elective admissions 2008/09 Diagnostic group Alcohol specific AAF=1 Mental and behavioural disorders due to use of alcohol Alcoholic liver disease Chronic pancreatitis (alcohol induced) Alcoholic cardiomyopathy Alcoholic polyneuropathy Degeneration of nervous system due to alcohol Ethanol poisoning Toxic effect of alcohol unspecified Alcoholic gastritis Total alcohol specific diagnosis Alcohol related AAF<1 Hypertensive diseases Cardiac arrhythmias Epilepsy and Status epilepticus Malignant neoplasm of lip oral cavity and pharynx Fibrosis and cirrhosis of liver Intentional self-harm Malignant neoplasm of breast Malignant neoplasm of oesophagus Malignant neoplasm of larynx Haemorrhagic stroke Psoriasis Fall injuries Malignant neoplasm of rectum Malignant neoplasm of colon Oesophageal varices Ischaemic stroke Malignant neoplasm of liver and intrahepatic bile ducts Other chronic pancreatitis Sequelae of cerebrovascular disease Acute and chronic pancreatitis Assault Spontaneous abortion Gastro-oesophageal laceration-haemorrhage syndrome Road transport accidents Pedestrian transport accident Inhalation of gastric contents Fire injuries Inhalation and ingestion of food causing obstruction of respiratory tract Work / machine injuries Chronic hepatitis not elsewhere classified Firearm injuries Event of undetermined intent Water transport accidents Total alcohol-related diagnosis Total Hospital spells 999 347 57 14 4 2 1 1 1 1,426 6,658 2,078 999 533 268 26 259 93 65 21 66 98 38 35 36 11 25 24 8 20 55 43 3 15 6 1 5 1 5 5 2 2 1 11,504 12,930 Total bed days 22,920 2,678 348 106 24 4 4 3 1 26,088 36,834 15,884 9,810 3,679 1,986 1,165 973 682 563 535 483 478 336 293 276 235 162 154 139 138 90 63 58 52 42 23 19 16 13 11 7 5 1 75,206 101,294 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London and London Health Observatory. 14 Table 2.8: Analysis of hospital bed days (overnight stay) by alcohol attributable diagnosis, emergency admissions 2008/09 Diagnostic group Alcohol specific AAF=1 Mental and behavioural disorders due to use of alcohol Alcoholic liver disease Chronic pancreatitis (alcohol induced) Ethanol poisoning Alcoholic cardiomyopathy Toxic effect of alcohol unspecified Degeneration of nervous system due to alcohol Alcoholic polyneuropathy Alcoholic gastritis Accidental poisioning by and exposure to alcohol Alcoholic myopathy Methanol poisoning Total alcohol specific diagnosis Alcohol related AAF<1 Hypertensive diseases Cardiac arrhythmias Epilepsy and Status epilepticus Fall injuries Fibrosis and cirrhosis of liver Intentional self-harm Malignant neoplasm of lip oral cavity and pharynx Haemorrhagic stroke Psoriasis Acute and chronic pancreatitis Assault Malignant neoplasm of oesophagus Pedestrian transport accident Oesophageal varices Road transport accidents Ischaemic stroke Spontaneous abortion Malignant neoplasm of breast Inhalation and ingestion of food causing obstruction of respiratory tract Malignant neoplasm of larynx Other chronic pancreatitis Malignant neoplasm of liver and intrahepatic bile ducts Gastro-oesophageal laceration-haemorrhage syndrome Malignant neoplasm of colon Inhalation of gastric contents Fire injuries Malignant neoplasm of rectum Event of undetermined intent Sequelae of cerebrovascular disease Chronic hepatitis not elsewhere classified Exposure to excessive natural cold Work / machine injuries Firearm injuries Drowning Air / space transport accidents Water transport accidents Total alcohol-related diagnosis Total Hospital spells 11,319 2,950 501 678 98 184 48 27 115 11 3 1 15,935 15,049 9,123 4,199 1,557 697 930 272 167 185 245 549 159 173 146 284 67 661 129 43 55 64 38 76 33 16 30 25 62 24 17 11 56 16 4 3 4 35,167 51,102 Total bed days 90,612 34,549 4,179 1,451 1,103 932 731 450 392 51 29 2 134,481 130,277 104,716 36,916 13,688 7,937 3,552 2,988 2,505 1,833 1,821 1,730 1,714 1,686 1,664 1,480 1,058 1,040 983 708 692 516 401 384 369 271 267 261 248 202 188 155 142 112 60 23 16 322,603 457,084 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London and London Health Observatory. 15 Table 2.9: Analysis of hospital bed days (overnight stay) by alcohol attributable diagnosis, all other admissions including maternity 2008/09 Diagnostic group Alcohol specific AAF=1 Mental and behavioural disorders due to use of alcohol Alcoholic liver disease Chronic pancreatitis (alcohol induced) Alcoholic polyneuropathy Alcoholic cardiomyopathy Ethanol poisoning Total alcohol specific diagnosis Alcohol related AAF<1 Hypertensive diseases Cardiac arrhythmias Epilepsy and Status epilepticus Haemorrhagic stroke Fibrosis and cirrhosis of liver Fall injuries Intentional self-harm Spontaneous abortion Ischaemic stroke Malignant neoplasm of lip oral cavity and pharynx Fire injuries Assault Acute and chronic pancreatitis Malignant neoplasm of larynx Oesophageal varices Road transport accidents Pedestrian transport accident Psoriasis Sequelae of cerebrovascular disease Malignant neoplasm of liver and intrahepatic bile ducts Malignant neoplasm of oesophagus Malignant neoplasm of breast Malignant neoplasm of rectum Other chronic pancreatitis Work / machine injuries Event of undetermined intent Malignant neoplasm of colon Chronic hepatitis not elsewhere classified Inhalation and ingestion of food causing obstruction of respiratory tract Inhalation of gastric contents Firearm injuries Gastro-oesophageal laceration-haemorrhage syndrome Water transport accidents Total alcohol-related diagnosis Total Hospital spells 195 71 10 3 2 4 285 589 349 320 51 36 36 17 74 9 10 8 18 6 3 9 8 6 10 2 3 4 4 1 2 9 1 1 1 2 1 1 1 0 1,587 1,872 Total bed days 4,908 1,726 255 118 77 31 7,115 7,899 5,487 2,569 1,065 678 398 286 236 221 191 108 107 94 88 86 85 85 64 49 43 35 30 22 22 20 18 18 6 3 2 2 1 0 20,019 27,134 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London and London Health Observatory. 16 2.6 Mean length of stay of the hospital provider spell The mean length of stay provides another way of looking at resource use. In the calculation of length of stay only overnight stays have been included. To provide a more robust estimate of the mean length of stay the geometric mean has been calculated. As the distribution of the mean length of stay is both non-negative and skewed to the right, calculating the geometric mean helps to reduce this impact. Alcohol attributable fractions have not been applied to the mean length of stay; rather these represent the mean stay for those admissions identified with an alcohol attributable diagnosis. Overall, elective hospital admissions had the shortest mean length of stay, 3.3 days compared with 4.7 days for emergency admissions. There was nearly a two-day variation in mean length of stay by local authority from 5.6 days in Bexley to 3.8 days in Hammersmith and Fulham. For alcohol-specific hospital admissions mental and behavioural diagnoses formed both the largest number of elective admissions and had the longest mean length of stay, 9.4 days. Mental and behavioural diagnoses were also the largest number of alcohol-specific emergency admissions with a mean length of stay of 3.6 days. Tables 2.10 to 2.14 show the average spell duration of hospital stay by local authority of residence, method of admission and broad diagnostic group. 17 Table 2.10: Average duration of hospital stay, alcohol attributable hospital admissions by local authority 2008/09 95% Confidence interval Mean Hospital duration of Spells stay (Days) Lower limit Upper Limit Local Authority City of London 174 4.3 3.6 5.1 Barking & Dagenham LB 5,982 4.5 4.4 4.7 Barnet LB 9,435 4.4 4.3 4.5 Bexley LB 6,101 5.6 5.4 5.8 Brent LB 8,494 4.1 4.0 4.2 Bromley LB 10,675 4.6 4.5 4.7 Camden LB 5,238 4.2 4.0 4.3 Croydon LB 11,360 4.5 4.4 4.6 Ealing LB 12,368 4.2 4.1 4.3 Enfield LB 9,069 4.8 4.6 4.9 Greenwich LB 6,278 5.0 4.9 5.2 Hackney LB 5,658 4.7 4.5 4.8 Hammersmith & Fulham LB 5,424 3.8 3.7 3.9 Haringey LB 6,179 4.4 4.3 4.5 Harrow LB 6,910 4.0 3.9 4.1 Havering LB 8,670 4.5 4.4 4.6 Hillingdon LB 9,722 3.9 3.8 4.0 Hounslow LB 7,533 3.9 3.8 4.0 Islington LB 5,688 4.2 4.0 4.3 Kensington & Chelsea LB 4,302 4.2 4.0 4.3 Kingston-upon-Thames LB 4,293 5.0 4.8 5.2 Lambeth LB 7,125 4.7 4.5 4.8 Lewisham LB 8,549 4.4 4.3 4.5 Merton LB 6,096 4.7 4.5 4.8 Newham LB 5,948 3.9 3.8 4.0 Redbridge LB 7,950 4.5 4.4 4.6 Richmond upon Thames LB 4,827 4.6 4.4 4.7 Southwark LB 6,840 4.6 4.4 4.7 Sutton LB 6,623 4.3 4.2 4.4 Tower Hamlets LB 4,998 4.8 4.6 4.9 Waltham Forest LB 7,298 4.1 4.0 4.2 Wandsworth LB 8,217 4.7 4.6 4.8 Westminster LB 6,003 4.3 4.2 4.5 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. 18 Table 2.11: Average duration of hospital stay, alcohol attributable hospital admissions, method of admission 2008/09 Mean Hospital duration of Method of Admission Spells stay (Days) Elective 51,838 3.3 Emergency 171,849 4.7 Other including maternity 6,340 6.6 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. Table 2.12: Average duration of hospital stay of alcohol attributable diagnosis, elective hospital admissions 2008/09 95% Confidence interval Alcoholspecific AAF=1 Alcoholrelated AAF<1 Hospital Spells 999 347 57 14 4 2 1 1 1 Diagnostic group Mental and behavioural disorders due to use of alcohol Alcoholic liver disease Chronic pancreatitis (alcohol induced) Alcoholic cardiomyopathy Alcoholic polyneuropathy Degeneration of nervous system due to alcohol Alcoholic gastritis Ethanol poisoning Toxic effect of alcohol unspecified Hypertensive diseases Cardiac arrhythmias Malignant neoplasm of breast Epilepsy and Status epilepticus Malignant neoplasm of lip oral cavity and pharynx Malignant neoplasm of colon Fall injuries Malignant neoplasm of rectum Fibrosis and cirrhosis of liver Malignant neoplasm of oesophagus Malignant neoplasm of larynx Psoriasis Assault Spontaneous abortion Malignant neoplasm of liver and intrahepatic bile ducts Acute and chronic pancreatitis Haemorrhagic stroke Other chronic pancreatitis Ischaemic stroke Intentional self-harm Work / machine injuries Road transport accidents Sequelae of cerebrovascular disease Oesophageal varices Pedestrian transport accident Fire injuries Chronic hepatitis not elsewhere classified Event of undetermined intent Firearm injuries Gastro-oesophageal laceration-haemorrhage syndrome Inhalation and ingestion of food causing obstruction of respiratory tract Inhalation of gastric contents Water transport accidents * Confidence intervals for 2 or fewer admissions not calculated 32,033 6,857 3,414 1,785 1,228 1,123 651 644 411 395 230 208 203 200 196 110 109 109 108 78 68 66 57 54 23 13 8 7 6 6 4 4 4 Mean duration of stay (Days) 9.4 3.8 3.3 4.0 5.5 1.7 1.0 4.0 3.0 3.1 3.7 2.7 3.5 3.6 4.8 2.4 5.3 3.9 3.7 3.8 3.6 1.3 1.3 3.9 3.2 10.9 2.9 5.3 9.5 1.7 1.8 4.0 3.3 3.1 2.6 1.8 2.0 2.9 5.8 14.2 13.4 1.4 Lower limit Upper Limit 8.7 3.3 2.5 2.1 2.5 * * * * 10.2 4.2 4.3 8.0 12.1 * * * * 3.1 3.6 2.6 3.3 3.4 4.6 2.2 4.9 3.5 3.3 3.2 3.1 1.2 1.2 3.3 2.6 8.4 2.4 4.0 6.5 1.5 1.4 2.7 2.5 1.8 1.5 1.0 1.0 1.0 0.9 5.7 1.4 0.5 3.1 3.8 2.8 3.7 3.8 5.1 2.6 5.7 4.4 4.2 4.5 4.2 1.4 1.3 4.4 3.9 14.1 3.6 7.0 14.0 2.1 2.3 6.0 4.3 5.3 4.4 3.5 4.2 8.7 38.2 35.7 130.7 4.3 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London 19 Table 2.13: Average duration of hospital stay of alcohol attributable diagnosis for emergency hospital admissions 2008/09 95% Confidence interval Alcoholspecific AAF=1 Alcoholrelated AAF<1 Hospital Spells 11,319 2,950 678 501 184 115 98 48 27 11 3 1 Diagnostic group Mental and behavioural disorders due to use of alcohol Alcoholic liver disease Ethanol poisoning Chronic pancreatitis (alcohol induced) Toxic effect of alcohol unspecified Alcoholic gastritis Alcoholic cardiomyopathy Degeneration of nervous system due to alcohol Alcoholic polyneuropathy Accidental poisioning by and exposure to alcohol Alcoholic myopathy Methanol poisoning Hypertensive diseases Cardiac arrhythmias Fall injuries Epilepsy and Status epilepticus Spontaneous abortion Intentional self-harm Assault Malignant neoplasm of breast Road transport accidents Acute and chronic pancreatitis Fibrosis and cirrhosis of liver Malignant neoplasm of colon Haemorrhagic stroke Work / machine injuries Malignant neoplasm of oesophagus Ischaemic stroke Malignant neoplasm of lip oral cavity and pharynx Pedestrian transport accident Psoriasis Malignant neoplasm of rectum Malignant neoplasm of liver and intrahepatic bile ducts Other chronic pancreatitis Oesophageal varices Sequelae of cerebrovascular disease Malignant neoplasm of larynx Event of undetermined intent Inhalation and ingestion of food causing obstruction of respiratory tract Gastro-oesophageal laceration-haemorrhage syndrome Fire injuries Inhalation of gastric contents Firearm injuries Exposure to excessive natural cold Chronic hepatitis not elsewhere classified Water transport accidents Air / space transport accidents Drowning * Confidence intervals for 2 or fewer admissions not calculated 78,854 32,880 14,271 7,988 3,048 2,752 2,033 1,761 1,376 1,223 1,117 1,085 934 793 730 645 639 614 602 437 337 297 227 218 206 186 172 161 80 64 63 45 29 18 17 12 Mean duration of stay (Days) 3.6 6.6 1.5 4.5 1.6 2.2 5.9 8.8 12.2 3.1 3.0 2.0 4.8 6.2 5.0 4.2 1.4 1.9 2.0 4.9 2.9 5.2 6.7 6.8 7.1 1.9 6.6 7.6 6.5 4.8 5.4 6.3 6.4 4.8 7.2 5.2 6.5 2.2 5.5 3.1 4.5 9.1 2.7 7.4 5.9 3.1 6.0 6.7 Lower limit Upper Limit 3.5 6.4 1.5 4.1 1.4 1.9 4.7 6.3 8.5 1.6 0.0 * 3.7 6.9 1.6 4.9 1.8 2.5 7.4 12.3 17.6 5.8 338.9 * 4.8 6.1 4.9 4.1 1.3 1.8 1.9 4.7 2.7 4.9 6.3 6.4 6.6 1.8 6.1 6.9 5.9 4.3 5.0 5.7 5.7 4.2 6.4 4.5 5.5 1.9 4.4 2.7 3.5 6.7 2.0 5.1 3.5 2.0 3.8 2.7 4.9 6.3 5.2 4.3 1.4 1.9 2.0 5.2 3.1 5.4 7.2 7.3 7.8 2.0 7.1 8.3 7.1 5.2 5.9 7.0 7.2 5.4 8.2 6.0 7.6 2.5 6.9 3.6 5.9 12.3 3.5 10.7 9.7 4.7 9.4 16.7 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. 20 Table 2.14: Average duration of hospital stay of alcohol attributable diagnosis for all other hospital admissions including maternity 2008/09 95% Confidence interval Alcoholspecific AAF=1 Alcoholrelated AAF<1 Hospital Spells 195 71 10 4 3 2 Diagnostic group Mental and behavioural disorders due to use of alcohol Alcoholic liver disease Chronic pancreatitis (alcohol induced) Ethanol poisoning Alcoholic polyneuropathy Alcoholic cardiomyopathy Hypertensive diseases Cardiac arrhythmias Epilepsy and Status epilepticus Spontaneous abortion Fall injuries Haemorrhagic stroke Work / machine injuries Ischaemic stroke Assault Fibrosis and cirrhosis of liver Intentional self-harm Malignant neoplasm of breast Road transport accidents Psoriasis Acute and chronic pancreatitis Malignant neoplasm of lip oral cavity and pharynx Malignant neoplasm of colon Fire injuries Malignant neoplasm of liver and intrahepatic bile ducts Pedestrian transport accident Malignant neoplasm of oesophagus Oesophageal varices Malignant neoplasm of larynx Malignant neoplasm of rectum Sequelae of cerebrovascular disease Other chronic pancreatitis Inhalation and ingestion of food causing obstruction of respiratory tract Event of undetermined intent Firearm injuries Gastro-oesophageal laceration-haemorrhage syndrome Inhalation of gastric contents Chronic hepatitis not elsewhere classified Water transport accidents * Confidence intervals for 2 or fewer admissions not calculated 2,697 1,172 546 341 286 275 129 82 65 55 50 49 40 32 31 24 23 22 21 17 16 14 13 13 13 11 6 4 2 2 2 1 1 Mean duration of stay (Days) 7.8 14.5 11.7 4.4 30.4 33.2 7.1 8.6 3.9 2.3 6.1 12.3 1.7 16.1 3.1 11.6 7.4 5.5 6.2 4.3 8.7 10.4 10.5 5.5 12.6 9.2 8.0 7.0 14.6 13.2 14.5 8.8 1.5 Lower limit * 9.4 18.2 27.6 33.6 278.7 * 6.7 8.1 3.6 2.1 5.2 10.8 1.5 12.6 2.4 9.0 5.1 4.1 4.2 3.1 5.9 6.1 5.8 3.0 8.8 4.9 4.5 3.6 7.2 5.8 7.1 7.4 0.9 1.0 7.28 2.2 1.0 3.7 11.0 2.0 Upper Limit 6.4 11.5 5.0 0.6 3.3 * * * * * 7.4 9.2 4.3 2.5 7.1 13.9 1.9 20.4 4.0 15.0 10.7 7.5 9.0 6.0 13.0 17.9 18.7 10.1 17.9 17.0 13.9 13.3 29.9 30.4 29.6 10.5 2.5 51.8 * * * * * Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London 2.7. Clinical coding As described the algorithm that identifies an alcohol attributable hospital admission inspects up to 20 ICD 10 diagnostic codes contained on the hospital admission episode. If the number of diagnostic codes per admission episode systematically varied this may influence the likelihood of identifying an alcohol attributable admission. The average number of diagnoses per FCE is referred to as the depth of coding. Table 2.15 shows the depth of coding expressed as the mean, median and 90th percentile by local authority in London 2008/09. Overall the average depth of coding was 4.7 codes per hospital admission episode, ranging from 3.8 in Bexley and Greenwich to 5.2 in Ealing. There is some suggestion of an association between the standardised rate of alcohol attributable hospital admissions and the depth of coding. Ealing had the highest standardised rate of alcohol attributable admissions and the highest depth of coding, 5.2 per hospital admission episode. Conversely 21 Bexley had relatively low standardised rates of alcohol attributable hospital admissions and admissions and low depth of coding 3.8 codes per hospital admission record. However, the majority of local authorities had a depth of coding of between 4.4 and 5.0 diagnostic codes per hospital admission episode. Table 2.15: Depth of clinical coding 2008/09 HES data Number of diagnostic codes Rate of alcohol including attributable primary diagnosis hospital 90th admissions Local Authority Mean Median percentile 2008/09 (2) Ealing LB 5.2 5 9 2,140.9 Islington LB 4.5 4 8 1,990.6 Newham LB 4.7 4 8 1,981.3 Hammersmith & Fulham LB 4.9 4 9 1,978.0 Hounslow LB 5.1 5 9 1,932.9 Barking & Dagenham LB 4.5 4 7 1,841.0 Hillingdon LB 5.0 5 9 1,802.8 Lewisham LB 4.5 4 8 1,705.2 Waltham Forest LB 4.7 4 8 1,670.0 Brent LB 4.8 4 8 1,662.1 Haringey LB 4.5 4 8 1,633.0 Camden LB 4.9 4 9 1,607.8 Hackney LB 4.5 4 8 1,592.1 Croydon LB 5.1 5 9 1,515.1 Wandsworth LB 5.0 5 9 1,474.7 Lambeth LB 4.7 4 8 1,459.0 Tower Hamlets LB 4.5 4 8 1,440.3 Redbridge LB 4.4 4 7 1,440.2 Bromley LB 4.5 4 8 1,437.5 Havering LB 4.6 4 8 1,400.6 Enfield LB 4.6 4 8 1,350.5 Greenwich LB 3.8 3 7 1,327.8 Southwark LB 4.6 4 8 1,312.2 Harrow LB 4.9 4 8 1,282.3 Sutton LB 4.9 5 9 1,279.6 Westminster LB 4.6 4 8 1,272.3 Barnet LB 4.5 4 8 1,220.0 Merton LB 5.1 5 9 1,200.0 Richmond upon Thames LB 4.8 4 8 1,102.1 Kingston-upon-Thames LB 4.6 4 8 1,101.8 Kensington & Chelsea LB 4.7 4 8 1,081.6 Bexley LB 3.8 3 6 911.2 City of London 4.5 4 8 851.5 London 4.7 4 8 1,483.0 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. (2) Local Alcohol Profiles for England. Alcohol attributable hospital admissions per 100,000 2008/09 The depth of coding gives an indication of the quality of diagnostic coding but not the accuracy of coding. The Audit Commission have conducted annual 22 national clinical coding audits linked to Payment by Results. The audit for 2008/0910 indicated the overall national coding error rate was 12.8 percent, an improvement from 2007/08 when the error rate was 16.5 percent. The audit indicated there was little evidence to suggest over or under-coding of activity. However, the audit concluded the level of error continues to be a concern given the wider use and application of clinical coding data within the NHS. Clinical coding of alcohol use is dependent on clinicians interpreting both the consumption and effect on the patient’s health and documenting this in case notes. The inclusion of alcohol abuse in the list of mandatory co-morbidities to be recorded for admitted patient care data from April 2010, gives additional weight to auditing the clinical recording and subsequent clinical coding of alcohol use. It should be recognised clinical coding is subject to error and this will carry through to the identification of alcohol attributable hospital admissions. Therefore the use of resources presented here are estimates based on the available 2008/09 hospital admissions data. 23 3. Reducing readmissions Patients with repeated alcohol-specific admissions present a significant burden on hospital resources.11 Below are examples of initiatives that have been adopted in London and elsewhere to aid in the reduction of alcoholattributable readmissions. I. Salford data sharing model A report produced by the Royal College of Physicians called for a cultural shift from merely treating the disease to tackling the underlying alcohol problem. One way of doing this is by improving liaison between acute hospitals and mental health trusts.11 Salford Royal NHS Foundation Trust working in conjunction with Salford PCT initiated a ‘Healthy Hospitals’ data sharing project, a partnership that has managed to integrate hospital and community treatment in order to improve the management of patients with co-morbidities. Robust data collection and analysis of hospital data, alongside collaboration with DAAT (Drugs & Alcohol Action Team) facilitated the identification of 100 patients who had the highest frequent use of services. Subsequent data sharing between the acute medical management, community alcohol, mental health, psychiatric, housing and probation services hopes to achieve a reduction by 225 admissions, with an annual cost saving of £340,000.11 II. Alcohol Intensive Case Management- Wandsworth project12 This initiative is run by Westminster Drug Project; a charity that provides advice, support and treatment to those affected by drug and alcohol misuse. The project targets severely dependant adults (those with high levels of contact with acute health services and have a poor history of engaging with alcohol treatment services). The project aims to; Reduce the severity and longer term consequences of severe alcohol dependency Reduce the level of utilisation of acute health care services including a reduction in non-planned admissions Increase levels of engagement with both primary health care and specialist alcohol treatment services. These objectives are delivered via the following; A comprehensive assessment of needs Community case management and care assessment Referal to other specialist service and facilitation of multi-agency intervenetion Psychosial interventions such as Cognitive Behavioural Therapy (CBT) 24 Direct support/assistance in engaging with services e.g. arranging and escorting clients to appointments III. Alcohol Screening and Brief Intervention Alcohol screening, also commonly referred to as IBA (Identification and Brief Advice) is different from other medical screening programs because it does not involve recalling patients for periodic screening over the years. Rather, alcohol screening encourages opportunistic screening and brief advice when patients attend an emergency department13. The use of an alcohol screening and intervention toolkit (SBIRT) piloted in emergency departments across USA showed an 8.7 percent total reduction in return visits due to alcohol-related injuries. The use of a screening toolkit also led to a 10 percent reduction in alcohol consumption14. SBIRT is a particularly effective toolkit because it combines the following three components of intervention; screening, brief intervention and referral to treatment.14 In the UK, the Department of Health views IBA as one of the most costeffective intervention that can be implemented among the range of available interventions.13 Routine use of screening tools also has the added benefit of shifting the focus from alcoholism as a clinical entity to a public health perspective that emphasises the early detection of hazardous drinking before the onset of significant harm.15 3.1 What might this mean for London? Results from a randomised control trial conducted at St Mary’s hospital in London recorded a 50 percent drop in A&E re-attendance among patients referred for brief interventions. To avoid one visit to the emergency department, nine people needed to be screened and two people referred for a brief intervention.16 The Regional Public Health Group London used the above trial to illustrate the cost saving potential of prevention. This of course has a number of caveats not least the assumption that the characteristics of patients admitted to hospital are the same as those arriving in A&E. It is likely those admitted with alcohol-specific conditions may be less amenable to IBA. Nevertheless, this indicates an area for further analysis and modelling. Using HES A&E and APC (Admitted Patient Care) linked data; we know that about 22% percent of all A&E attendances are eventually admitted.17 Using the findings from the St Mary’s hospital study, if an IBA was offered for every two A&E attendances, the hypothetical 50 percent drop in re-attendances, also gives an average drop of 50 percent in alcohol-specific hospital readmissions admitted as an emergency, as shown on Table 3.1. 25 In monetary terms, based on the cost of emergency readmissions previously calculated this would result in a reduction of approximately £26 million in hospital costs across London. Table 3.1: Potential reduction in hospital readmissions in London as a result of IBA Alcohol-specific A&E Attendances Total in year Attendances Single A& E Attendances 205,774 105,529 Multiple A&E Attendances After 50% drop in reattendances (post IBA) 100,245 All Attendances Single Attendances 155,652 105,529 Multiple Attendances 50,123 Alcohol-specific A&E Admissions Total in year A&E admissions Single A&E Admissions Multiple A&E Admissions After 50% drop in reattendances All admissions 44,511 22,827 21,684 33,621 Single A&E Admissions 22,827 Multiple A&E Admissions 10,794 Total drop Single A&E Admissions 0 Multiple Admissions Percentage drop (multiple admissions) Cost of emergency multiple admissions £000s Cost of emergency multiple admissions (post IBA) £000s 10,890 Predicted cost reduction £000s 26 50.22% 52,284.5 26,258.5 26,026.0 4. Alcohol attributable hospital admissions arriving via Accident and Emergency departments 4.1 Introduction The Health and Social Care Information Centre (The Information Centre) 18 published a second experimental statistics report on accident and emergency (A&E) attendances for 2009/10. The report drew attention to the provision of A&E HES data linked to admitted patient care data for 2009/10. An initial analysis of HES A&E data for London NHS hospital providers19 showed reasonably good coverage20 of the number of A&E attendances when compare to the Quarterly Monitoring of Accident and Emergency (QMAE) return. This increased to 88 percent if A&E attendances at PCT providers, which do not appear in HES, were excluded. The analysis showed the recording of the diagnosis on attending A&E was low, only 34 percent of attendances have a diagnosis with any discriminatory value. This is lower than the national figure of 48 percent. Ten of the 27 NHS hospital providers in London A&E HES dataset in London had zero valid primary A&E diagnosis codes. A similar picture of was found for the reason for A&E attendance. A high proportion 79 percent were recorded as “Other” or “Not known” and a further 17 percent were coded as “other accident”. In London a slightly greater proportion were as classified as “Not known” than nationally; both indicate that for at least 80 percent of the data the reason for A&E attendance is not well described. In contrast, time and duration of A&E attendance were largely complete; for London NHS hospital providers and all date fields complete only 0.8 percent of A&E arrival times were incomplete. By linking A&E and admitted patient datasets those records with an alcohol attributable condition and admitted via A&E can be determined, thereby enriching both datasets. The analysis reported illustrates the possibilities for analysis arising from linked records. It is included to encourage the use of linked data and to stimulate improvements in data quality by showing the values of such data. 4.2 Source of referral and mode of arrival As previously discussed alcohol attributable hospital admissions may be alcohol-specific or alcohol-related. The analysis of alcohol-related hospital admissions linked analysis is of limited value as individual episodes are not identified. It is assumed, and that assumption may be incorrect, that in any sub analysis of alcohol-related hospital admissions the distribution of a factor is the same, whether alcohol-related or not. Secondly, as diagnostic coding is poorly completed on the A&E dataset it is not possible to complement the admission episode AAF with additional diagnostic information. Tables 4.1 and 4.2 show the mode of arrival and source of referral. The majority (70 percent) 27 of alcohol attributable admissions arriving from A&E were brought in by ambulance. Table 4.1 Alcohol attributable hospital admissions: A&E arrival mode 2009/10 Brought in by ambulance Other Not known Total Alcohol-related Alcohol- specific Total Number Percent Number Percent Number Percent 15,220 73.0% 121,325 68.6% 136,545 69.1% 5,412 26.0% 53,184 30.1% 58,596 29.6% 207 1.0% 2,320 1.3% 2,527 1.3% 20,839 100.0% 176,829 100.0% 197,668 100.0% Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. Table 4.2 Alcohol attributable hospital admissions: A&E source of referral 2009/10 General medical practitioner Self referral Local authority social services Emergency services Work Educational establishment Police Health care provider: same or other All other Not known Total Alcohol-related Alcohol-specific Total Number Percent Number Percent Number Percent 1,003 4.8% 17,930 10.1% 18,933 9.6% 9,364 44.9% 76,194 43.1% 85,558 43.3% 81 0.4% 692 0.4% 773 0.4% 1,955 9.4% 18,777 10.6% 20,732 10.5% 13 0.1% 229 0.1% 242 0.1% 11 0.1% 64 0.0% 75 0.0% 743 3.6% 2,044 1.2% 2,787 1.4% 254 1.2% 3,750 2.1% 4,004 2.0% 7,320 35.1% 55,913 31.6% 63,233 32.0% 95 0.5% 1,236 0.7% 1,331 0.7% 20,839 100.0% 176,829 100.0% 197,668 100.0% Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. 4.3 Day and month of arrival in A&E There is an indication of a higher proportion of alcohol-related hospital admissions occurring in December and January. Computing the average number of hospital admissions, corrected for the number of days in the month shows this more clearly. Alcohol-related hospital admissions are highest in the winter period, whereas alcohol-specific hospital admissions are lower during this period. It is unlikely that this is simply a compensating process as the average daily number of alcohol-related hospital admissions, 484 is far larger than alcohol-specific hospital admissions, 57. Figures 4.1 and 4.2 show the average number of daily hospital admissions by month. The day of week of arrival for alcohol-related and alcohol-specific hospital admissions are shown on Figure 4.3. Alcohol-related hospital admissions are lower at the weekend. There is much less day of week variation in alcoholspecific hospital admissions. 28 Figure 4.1: Average daily arrivals in A&E, by month. Alcohol-related hospital admissions 2009/10 600 Monthly average per day Annual average per day Average per day 500 400 300 200 100 0 Apr09 May Jun Jul Aug Sep Oct Nov Dec Jan10 Feb Mar10 Month (2009/10 data year) Data source: Hospital Episode Statistics (HES), The Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. Figure 4.2: Average daily arrivals in A&E, by month. Alcohol-specific hospital admissions 2009/10 70 Monthly average per day Annual average per day Average per day 60 50 40 30 20 10 0 Apr09 May Jun Jul Aug Sep Oct Nov Dec Jan10 Feb Mar10 Month (2009/10 data year) Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. 29 Figure 4.3: Day of week of arrival in A&E, alcohol attributable hospital admissions 2009/10 Alcohol-related Alcohol-specific 18 16 14 Percent 12 10 8 6 4 2 Day of week y Su nd a Sa tu rd ay Fr id ay Th ur sd ay da y W ed ne s Tu es da y M on da y 0 Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. 4.5 Time of arrival Combining A&E data with that of admitted care patients enhances both datasets. Diagnostic information from the hospital admission episode can be used in conjunction with time information from the A&E arrival episode, both of which were not available on individual datasets. The following three diagnoses represent 95 percent of alcohol-specific hospital admissions arriving via A&E: Mental and behavioural disorders due to use of alcohol Alcoholic Liver Disease Ethanol poisoning Radar charts have been used to illustrate the 24-hour pattern of A&E arrivals for these three alcohol-specific diagnoses. These are shown in Figures 5.5 to 5.7. Hospital admissions for mental and behavioural disorders due to use of alcohol represent the largest group with over 15,000 hospital admissions. The majority of these arrive in A&E between midday and midnight, over 60 percent. 30 Figure 4.4: 24-hour pattern of A&E arrivals subsequently admitted to hospital with mental and behavioural diagnoses 2009/10 0 Midnight 23 Mental and behavioural n= 15,308 1 6.0 22 2 5.0 21 3 4.0 20 4 3.0 2.0 19 5 1.0 18 6 .0 17 7 16 8 15 9 14 10 13 11 12 Midday Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. In contrast A&E arrivals subsequently admitted for ethanol poisoning are very much a feature of the night, 67 percent arrive between 6 pm and 6 am with a particular peaks between 10 pm and 2 am when more than a third of A&E arrivals occurred. Figure 4.5: 24-hour pattern of A&E arrivals subsequently admitted to hospital with ethanol poisoning 2009/10 0 Midnight 23 22 9.0 1 Ethanol poisioning n= 1,432 2 8.0 7.0 21 3 6.0 5.0 20 4 4.0 3.0 19 5 2.0 1.0 18 6 0.0 17 7 16 8 15 9 14 10 13 11 12 Midday Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. 31 A&E arrivals subsequently admitted and diagnosed with alcoholic liver disease (ALD) are again a feature of the day with 70 percent arriving between 6 am and 6 pm and nearly 50 percent between 10 am and 4 pm. Figure 4.6: 24- hour pattern of A&E arrivals subsequently admitted to hospital with alcoholic liver disease 2009/10 0 Midnight 23 22 1 8.0 6.0 21 Alcoholic liver disease n= 2,831 2 7.0 3 5.0 20 4 4.0 3.0 19 5 2.0 1.0 18 6 .0 17 7 16 8 15 9 14 10 13 11 12 Midday Data source: Hospital Episode Statistics (HES), NHS Information Centre for Health & Social Care. Analysed by Regional Public Health Group London. The above illustrates the potential of linked HES data. Date and time fields have a high level of completeness on HES A&E data. Other fields, in particular diagnostic ones are under recorded on HES A&E data and therefore limit its usefulness. It would for example be useful to analyse diagnostic data on HES A&E for those hospital admissions flagged as alcohol-related using alcohol attributable fractions. This may help identify or refined individual episodes potentially associated with alcohol. 32 ANNEXE 1 :List of ICD10 codes for diagnoses relating to alcohol and their attributable fractions. Category Alcohol-specific (Chronic) ICD code ICD name 0-15 M F 1.00 1.00 1.00 1.00 16-24 M F 1.00 1.00 1.00 1.00 25-34 M F 1.00 1.00 1.00 1.00 Alcohol Attributable Fraction 35-44 45-54 55-64 M F M F M F 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 65-74 M F 1.00 1.00 1.00 1.00 75+ M F 1.00 1.00 1.00 1.00 E24.4 G31.2 Alcohol-induced pseudo-Cushing's syndrome Degeneration of nervous system due to alcohol G62.1 G72.1 I42.6 K29.2 K70 K86.0 F10 Alcoholic polyneuropathy Alcoholic myopathy Alcoholic cardiomyopathy Alcoholic gastritis Alcoholic liver disease Chronic pancreatitis (alcohol induced) Mental and behavioural disorders due to use of alcohol 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Alcohol-specific (Acute) T51.0 T51.1 T51.9 X45 Ethanol poisoning Methanol poisoning Toxic effect of alcohol, unspecified Accidental poisoning by and exposure to alcohol 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Accidents & Injury (Acute) W00-W19 W24-W31 W32-W34 W65-W74 W78-W79 Fall injuries Work/machine injuries Firearm injuries Drowning Inhalation of gastric contents/Inhalation and ingestion of food causing obstruction of the respiratory tract 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.22 0.07 0.25 0.34 0.25 0.14 0.07 0.25 0.34 0.25 0.22 0.07 0.25 0.34 0.25 0.14 0.07 0.25 0.34 0.25 0.22 0.07 0.25 0.34 0.25 0.14 0.07 0.25 0.34 0.25 0.22 0.07 0.25 0.34 0.25 0.14 0.07 0.25 0.34 0.25 0.22 0.07 0.25 0.34 0.25 0.14 0.07 0.25 0.34 0.25 0.12 0.07 0.25 0.34 0.25 0.04 0.07 0.25 0.34 0.25 0.12 0.07 0.25 0.34 0.25 0.04 0.07 0.25 0.34 0.25 X00-X09 X31 X60-X84, Y10-Y33 Fire injuries Accidental excessive cold Intentional self-harm/Event of undetermined intent 0.00 0.00 0.00 0.00 0.00 0.00 0.38 0.25 0.34 0.38 0.25 0.35 0.38 0.25 0.34 0.38 0.25 0.33 0.38 0.25 0.35 0.38 0.25 0.34 0.38 0.25 0.37 0.38 0.25 0.34 0.38 0.25 0.36 0.38 0.25 0.32 0.38 0.25 0.31 0.38 0.25 0.25 0.38 0.25 0.27 0.38 0.25 0.20 X85-Y09 §§ § Assault Pedestrian traffic accidents Road traffic accidents (driver/rider) 0.00 0.00 0.00 0.00 0.00 0.00 0.27 0.35 0.21 0.27 0.16 0.09 0.27 0.45 0.33 0.27 0.19 0.15 0.27 0.46 0.24 0.27 0.21 0.12 0.27 0.46 0.24 0.27 0.21 0.12 0.27 0.23 0.09 0.27 0.03 0.03 0.27 0.23 0.09 0.27 0.03 0.03 0.27 0.23 0.09 0.27 0.03 0.03 Alcohol-specific (Mental/Beh) Violence (Acute) Transport accidents (Acute) 33 Spontaneous abortion (Acute) Digestive (Chronic) Cancer (Chronic) Other chronic diseases (low AF) V90-V94 V95-V97 Water transport accidents Air/space transport accidents 0.00 0.00 0.00 0.00 0.20 0.16 0.20 0.16 0.20 0.16 0.20 0.16 0.20 0.16 0.20 0.16 0.20 0.16 0.20 0.16 0.20 0.16 0.20 0.16 0.20 0.16 0.20 0.16 0.20 0.16 0.20 0.16 O03 Spontaneous abortion 0.00 0.00 0.00 0.23 0.00 0.21 0.00 0.22 0.00 0.21 0.00 0.20 0.00 0.15 0.00 0.12 K22.6 Gastro-oesophageal laceration-haemorrhage syndrome 0.00 0.00 0.47 0.47 0.47 0.47 0.47 0.47 0.47 0.47 0.47 0.47 0.47 0.47 0.47 0.47 K73, K74 Chronic hepatitis, not elsewhere classified and Fibrosis and cirrhosis of liver 0.00 0.00 0.77 0.67 0.76 0.59 0.74 0.60 0.79 0.59 0.77 0.57 0.71 0.48 0.61 0.38 K85, K86.1 I85 C00-C14 Acute and chronic pancreatitis Oesophageal varices Malignant neoplasm of lip, oral cavity and pharynx 0.00 0.00 0.00 0.00 0.00 0.00 0.27 0.77 0.50 0.19 0.67 0.40 0.27 0.76 0.50 0.16 0.59 0.35 0.26 0.74 0.49 0.16 0.60 0.36 0.30 0.79 0.53 0.16 0.59 0.35 0.27 0.77 0.50 0.14 0.57 0.33 0.22 0.71 0.44 0.10 0.48 0.26 0.16 0.61 0.36 0.07 0.38 0.20 C15 C32 C16 C18 C20 C22 Malignant neoplasm of oesophagus Malignant neoplasm of larynx Malignant neoplasm of stomach Malignant neoplasm of colon Malignant neoplasm of rectum Malignant neoplasm of liver and intrahepatic bile ducts 0.00 0.00 0.00 0.00 0.32 0.34 0.23 0.25 0.31 0.33 0.20 0.21 0.30 0.32 0.20 0.22 0.34 0.36 0.20 0.21 0.32 0.34 0.18 0.20 0.26 0.28 0.14 0.15 0.20 0.22 0.10 0.11 0.00 0.00 0.00 0.00 0.00 0.00 0.05 0.08 0.16 0.03 0.06 0.11 0.05 0.08 0.15 0.03 0.05 0.10 0.04 0.08 0.15 0.03 0.05 0.10 0.05 0.09 0.17 0.03 0.05 0.10 0.05 0.08 0.16 0.03 0.05 0.09 0.04 0.07 0.13 0.02 0.03 0.07 0.03 0.05 0.10 0.01 0.03 0.05 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.34 0.35 0.00 0.56 0.31 0.09 0.24 0.36 0.00 0.64 0.20 0.00 0.33 0.36 0.00 0.58 0.30 0.08 0.19 0.35 0.00 0.59 0.15 0.00 0.32 0.37 0.00 0.58 0.27 0.09 0.20 0.35 0.00 0.61 0.15 0.00 0.37 0.38 0.00 0.61 0.34 0.09 0.20 0.35 0.00 0.61 0.15 0.00 0.34 0.37 0.00 0.61 0.30 0.08 0.18 0.33 0.00 0.57 0.13 0.00 0.27 0.34 0.00 0.51 0.24 0.06 0.13 0.27 0.00 0.45 0.10 0.00 0.20 0.30 0.00 0.42 0.16 0.04 0.09 0.22 0.00 0.35 0.06 0.00 0.00 0.16 0.03 0.13 0.00 0.08 0.00 0.18 0.00 0.12 0.00 0.06 0.00 0.00 0.00 0.00 0.00 0.34 0.33 0.34 0.33 0.35 0.33 0.36 0.32 0.35 0.31 0.33 0.26 0.30 0.22 C50 Malignant neoplasm of breast I10-I15 Hypertensive diseases I47-I48 Cardiac arrhythmias I50-I51 Heart failure Other diseases G40-G41 Epilepsy and Status epilepticus (low AF) I60-I62, Haemorrhagic stroke I69.0-I69.2 I63-I66, Ischaemic stroke I69.3, I69.4 L40 Psoriasis excluding cirrhosis L40.5 § V12-V14 (.3 -.9), V19.4-V19.6, V19.9, V20-V28 (.3 -.9), V29-V79 (.4 -.9), V80.3V80.5, V81.1, V82.1, V82.9, V83.0-V86 (.0 -.3), V87.0-V87.9, V89.2, V89.3, V89.9 §§ V02-V04 (.1, .9), V06.1, V09.2, V09.3 Source: Reproduced from Alcohol Attributable Admissions in London. 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Available at: Accident and Emergency Attendances in England (Experimental statistics); 2009-10 | The NHS Information Centre. 19 Regional Public Health Group London. Hospital Episode Statistics A&E Attendances London 2009/10. Internal report. 2011 . 20 Coverage is the percentage of A&E HES attendances (excluding planned follow-up appointments) compared with QMAE attendances. 35