1 Allergy & Respiratory Research Group, Centre for Population Health Sciences, University of Edinburgh 20 West Richmond Street, Edinburgh EH8 9DX, UK
2 Department Community Health Sciences, St Georges University of London UK
3 Information Services (ISD) Scotland, UK
Correspondence to: Aziz Sheikh aziz.sheikh{at}ed.ac.uk
| SUMMARY |
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Methods Data sources: national surveys; primary care data; prescribing and medication data; hospital admissions data and mortality data.
Results Allergic disorders are extremely common in Scotland, affecting about one in three of the population at some time in their lives. Incidence was highest for eczema (10.2 per 1000 registered patients). Over 4% of all GP consultations and 1.5% of hospital admissions were for allergic disorders. There were 100 asthma deaths in 2005 (20 per million people). Direct healthcare costs for allergic disorders were an estimated £130 million per year, the majority of these being incurred in primary care and related to asthma.
Conclusions Allergic disorders are common in Scotland and given the very high proportion of children now affected, the high disease burden associated with these conditions is likely to persist for many decades.
| Introduction |
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Much of the epidemiological work underpinning the Royal College of Physicians report was based on detailed secondary analyses of available healthcare data-sets, with a focus on those data-sets most relevant to England and Wales.1 Important data-sets of particular relevance to the Scottish context were, because of time and resource constraints, in the main overlooked.9
The aim of this study was to describe the epidemiology, morbidity, mortality and economic costs to NHS Scotland of allergic disorders. In seeking to answer these questions, we focused on the following conditions: allergic conjunctivitis; allergic rhinitis; anaphylaxis; angioedema; asthma; drug allergy; eczema/atopic dermatitis; food allergy; urticaria; and allergies not classified elsewhere. Our secondary aim was to investigate ethnic variations in the epidemiology and outcomes from these allergic disorders. In addition, Scotland's position in international allergy rankings was considered.
| Methods |
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Definitions
Allergic disease definitions were based on those used in the SHS, HSE and ISAAC surveys (Appendix 1), Read codes for primary care data (Appendix 3) and the World Health Organization's (WHO) International Classification of Diseases (ICD 10) codes for SMR01 (Appendix 4).
Statistical methods
Incidence rates from primary care were calculated as the number of new cases of disease diagnosed in a specific year divided by the total number of patients registered with the study practices for that year (to give person years of exposure). These rates were multiplied by 1000 to give rates per 1000 registered patients per year. Lifetime prevalence was estimated from the number of GP patients with a recorded diagnosis of the disease at any point since being registered with a practice divided by the total number of patients registered with the study practices. These rates were standardized by sex and five-year age bands using the estimated mid-year Scottish population (obtained from GROS population estimates). Rates were multiplied by 1000 to give rates per 1000 registered patients. These rates were also standardized by sex and five-year age bands using the estimated mid-year (2004) English population and multiplied by 1000 to give rates per 1000 registered patients to compare with English primary care (QRESEARCH) data. All analyses were undertaken using SPSS v 13.0.
Assessing costs
The cost of GP consultations, hospital inpatient stay and day cases were calculated using unit costs and national estimates for measures of healthcare utilization.20,21 Community prescription costs were estimated using ISD prescription data using the standard Defined Daily Dose (DDD) and Gross Ingredient Cost (GIC). The DDD, as defined by the WHO is the assumed average maintenance dose per day for a drug when used for its main indication in adults.22 The GIC is the cost of an item before any discounts that may be made by the supplier to pharmacies; it does not include dispensing costs or fees. Fees paid by the recipient are also excluded; this equates with the Net Ingredient Cost.23
| Results |
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Asthma posed a particularly high disease burden. The proportion of respondents aged 16 years or over in the 2003 SHS who reported ever having wheezed was 27% in men and 26% in women (Table 2, Appendix 6). Among adult respondents to the 2003 survey, 13% of men and 14% of women reported that they had ever had asthma diagnosed by a doctor.
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The 2002 ISAAC survey of 12–14-year-olds in Scotland (based on self-reports) found an overall prevalence of wheezing in the past 12 months of 28% and the lifetime prevalence of asthma was 26%, similar to the rest of the UK (data not shown).12 The lifetime prevalence of diagnosed asthma increased slightly from 20% in 1995 to 24% in 2002.12
The 2002 ISAAC survey in Scotland showed an overall prevalence of a rhinoconjunctivitis in the previous 12 months of 17%, with a lifetime prevalence of hayfever of 36%, slightly lower than the rest of the UK (data not shown). Between 1995 and 2002 there was a slight decrease in the prevalence of rhinoconjunctivitis in the previous 12 months among 12–14-year-olds in Scotland from 19% to 17%.12
The 2002 ISAAC survey in Scotland showed an overall prevalence of a flexural rash in the past 12 months of 13% while the lifetime prevalence of eczema was 24%, similar to the rest of the UK (data not shown). ISAAC data showed that between 1995 and 2002 there was a considerable decrease in the prevalence of flexural rash in the previous 12 months among 12–14-year-olds in Scotland from 17% to 13%.12 No data on ethnicity were reported for the Scottish ISAAC data.
The only deaths recorded for allergic disease were for asthma. There were 100 asthma deaths (ICD10 J45-J46) in Scotland in 2005, these occurring at a rate of approximately 20 per million of the population. There were no recorded deaths from any other allergic problem.
Health service utilization
Primary care
There were 60,553 GP consultations for allergy in 2003–2004. The consultation rate for all allergies was 39 (95% CI 39–39) per 1000 registered patients in 2003–2004 ( Table 2) which was nearly 4% of all consultations for that year. The allergic conditions for which patients most commonly consulted GPs were asthma (20 [95% CI 20–20] consultations per 1000 registered patients annually, or nearly half of all GP consultations for allergic disease) and eczema (10 [95% CI 10–10] per 1000 registered patients).
Over 7.7 million community prescriptions were dispensed for allergic conditions in Scotland in 2003–2004, 13% of all prescriptions dispensed for that year. These were mainly for eczema (1.8 million) and asthma (1.7 million).
Secondary care
There were 24,189 admissions for all allergic disorders in 2004–2005, accounting for 1.5% of the total admissions for all conditions in that year. Of these, asthma was the commonest reason and accounted for 83% of allergic disease continuous inpatient stays. In the financial year 2004–2005 there were 1455 continuous inpatient stays for other allergic problems (urticaria=286; anaphylaxis=370; atopic dermatitis=245; food allergy=296; allergic rhinitis=93; angioedema=156 and conjunctivitis=9). The highest rates were for asthma in children under 15 (35.5 per 1000, Table 3), followed by eczema (1.83 per 1000) in the same age group. Around 10% of hospital discharges included information on ethnic group, insufficient to allow meaningful analysis.
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| Discussion |
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Strengths and limitations of this work
The main strengths of this work include the use of data from a number of large and representative data-sets, the inclusion of a broad range of allergic conditions enabling us to include possible diagnostic transfer (for example, between angioedema and urticaria), and the use of a range of relevant epidemiological, health services utilization and cost-related outcomes. In addition, we were able to draw on our collective understanding and experience of working with these data-sets, and, more specifically, data relating to allergic disorders, in order to interpret findings.
This work does however have a number of important potential limitations, these in the main relating to the available data sources. These include, most notably, the fact that we were dependent on recorded clinical diagnoses in both primary and secondary care, and also in relation to coding of deaths. This latter issue is, for example, known to be a potential problem in relation to the underestimate of deaths from anaphylaxis, which are often coded as asthma deaths.24 In addition, the discordant time periods of each data-set made comparisons between data-sets slightly challenging. There are also potential problems in relation to interpreting data on trends as these can be affected by incentives to improve quality of care (for example, the Quality and Outcomes Framework),14 healthcare changes (for example, bed availability, commissioning priorities and other policy changes), changes in perceptions (for example, greater public awareness of food allergy) and data artefacts.
There are also limitations imposed by information gaps, such as the lack of data on allergic reactions in dentistry, utilization of out-of-hours primary care (NHS24), accident and emergency attendances, outpatient care, inpatient prescribing, some over-the-counter purchases of drugs for eczema and allergic rhinitis in particular, and in many cases regional, socioeconomic and ethnic variations in allergic disease risk and outcomes. As a consequence of this, our estimates of costs to the NHS are likely to be a substantial underestimate.
Considering the findings of this work in relation to the wider literature
Prospective cohort studies are needed to allow a more accurate characterization of the epidemiology of allergic disorders in Scotland. In the absence of such studies, which are of necessity time-consuming and expensive to mount, it is important that secondary analysis of cohorts generated using routine data-sets is undertaken25 and furthermore that in-depth work is undertaken to assess the validity of routine clinical records as has, for example, been undertaken in relation to anaphylaxis records from the General Practice Research Database (GPRD).26 Similar work is now needed for hospital-based data-sets. Consideration also needs to be given to including a much broader range of allergy questions in the SHS.
Given the lack of data on ethnicity, it is important to consider bridging this gap using the data linkage techniques recently developed by Bhopal et al.,27 which allow linkage of healthcare records with census ethnicity codes using a probabilistic matching technique. Similarly, to obtain a broader picture of costs to society associated with allergic disorders, it is important to consider, for example, the impact on school and work performance,28 and this should also prove possible with greater investment in data-linkage techniques.9
The gaps in recoding of emergency contacts within the NHS – NHS24 and A&E attendance – also need to be filled and this may prove possible in due course when the electronic health record is introduced into NHS Scotland. Outpatient recording by diagnosis has begun but is at an early stage. Given the likely future move to the Systematised Nomenclature of Medicine Clinical Terms (SNOMED-CT) coding system, it is important that serious consideration is given to ways in which allergy codes need to be developed to facilitate secondary analyses of the type undertaken in this study.29
More specifically, given the relatively rapid changing epidemiology of allergic disorders, it is important to continue to monitor allergic disease trends and use the variation discovered therein for hypothesis generation and to provide the data needed to inform assessments of the feasibility of mounting much needed clinical studies of allergic disease prevention and management.
| Conclusions |
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| Footnotes |
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DECLARATIONS
Competing interests None declaredFunding The Scottish Government's Chief Scientist Office (CSZ/2/252) funded this work and The University of Edinburgh acted as the sponsor
Ethical approval Not applicable
Guarantors CA and AS
Contributorship CA was the researcher employed on this project and undertook data analysis and led the writing of this report. RG, CS and CF were grant-holders on this project and contributed to data interpretation andcommenting on draft versions of this report. AS conceived the study and was the principal investigator for this work overseeing all aspects of the project and contributed to the editing and writing of this report
| Appendix 1. Questions on allergy used in survey data |
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Health Survey for England 2001
International Survey of Asthma and Allergies in Childhood (ISAAC), 1995 and 2002, for 12–14-year-olds
| Appendix 2. Data sources |
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Health Survey for England
The Health Survey for England (HSE) is part of a wider programme of surveys commissioned by the Department of Health and is designed to monitor trends in the nation's health. The survey focuses on different health issues each year. Only certain years cover respiratory and allergic disease; 2001 and 2002 were the last published surveys to do so. Data from the 2001 survey were used in this study as these data were used to compare with SHS data in the SHS report. The questions from the HSE survey can be found in Appendix 2.
International Study of Asthma and Allergy in Children
The International Study of Asthma and Allergy in Children (ISAAC) study, conducted in 55 countries, sought to estimate the prevalence of symptoms of asthma, hayfever and atopic dermatitis (and associated diagnoses) in 6–7-year-olds and 13–14-year-olds and to investigate for evidence of geographical variations in disease prevalence. In the Scottish data, Scottish Islands are included in Scottish results. Data are shown for phase I and II surveys (10). Specific Scottish data were not available for phase III (11). The questions used in the ISAAC survey can be found in Appendix 2.
Primary care data
Practice Team Information
Practice Team Information (PTI) collects data on patients' encounters with members of the practice team, including general practitioners (GPs), and practice and community nurses. Data for 2003–2004 to 2005–2006 included 42–45 practices. The programme is part of the Information Services Division (ISD) of NHS National Services Scotland. The system developed from Continuous Morbidity Recording (CMR), which collected data from contacts between GP and patient.
Quality and Outcomes Framework
Since 2004 the General Medical Services contract with GPs has included incentive payments for achieving a set of quality indicators through the Quality and Outcomes Framework (QOF) (12). These include quality indicators for asthma care. Data from the asthma register used for assessing quality outcomes can be used as a measure of prevalence. The number of people on asthma registers is influenced by the quality and completeness of GP recording. The registers exclude people who have not been prescribed asthma-related drugs in the preceding 12 months and those on the chronic obstructive pulmonary disease (COPD) register.
Primary Care Clinical Informatics Unit
In April 2000, the Primary Care Clinical Informatics Unit (PCCIU) was created as part of a national primary care initiative. It provides the informatics support for the Scottish Programme for Improving Clinical Effectiveness (SPICE), part of the Clinical Effectiveness Programme developed by the Royal College of General Practitioners (Scotland). PCCIU's aim is to help GPs understand their clinical information needs through a variety of feedback reports based on data extraction from their practice. As part of the SPICE programme (technically managed by PCCIU), data entry templates were developed for use by clinicians to systematically record data about a number of chronic conditions. From 2003 onwards, these templates were modified to include all information required for the new contract. Diagnostic criteria are not specified. Instead, clinical diagnoses are those recorded through routine practice, which, for major conditions, is often after investigation and input from hospital-based specialist colleagues.
Anonymized retrospective data from all 310 of the 850 Scottish practices who use the General Practice Administrative Software System (GPASS) and also participate in SPICE were obtained in November 2005. The completeness and accuracy of morbidity and repeat prescribing data in GPASS practices have been reported previously. A subset of 58 SPICE practices, representative of the Scottish population and routinely collecting morbidity data as part of the PTI project in 2004, were used for these analyses. The allergy Read codes used to extract PCCIU data can be found in Appendix 3.
QRESEARCH
The Scottish PCCIU data were compared to data from the QRESEARCH database. This database is one of the largest anonymized aggregated health databases in the world and contains the records of over nine million patients from 525 UK general practices in England (further information can be found at www.qresearch.org).
Prescribing and medication
Prescription Cost Analysis
ISD obtains information from prescriptions dispensed in the community by pharmacists, dispensing doctors and appliance suppliers. Prescription Cost Analysis (PCA) shows details of the number of items and the Gross Ingredient Cost (GIC) of all prescriptions dispensed in the community in Scotland.
Over-the-counter sales
The data from Intercontinental Marketing Services (IMS) include the sales for allergic rhinitis, asthma and eczema products in Scotland. These data are taken from retail pharmacies, but do not include data for Boots and Superdrug; they also do not include data on sales classified as groceries. For further details see http://www.imshealth.com/ims/portal/pages/homeFlash/europe/0,2768,6025,00.html.
Hospital admissions
Scottish Morbidity Record
ISD collects information on inpatient and day-case episodes in Scottish hospitals through the Scottish Morbidity Record (SMR01) scheme. Information includes a principal diagnosis and up to five additional diagnoses for each hospital episode. Patient episodes are linked into continuous hospital stays and also with information on deaths provided by the General Register Office for Scotland (GROS). Inpatient diagnoses are classified using the International Classification of Diseases (ICD); ICD-9 was used up to 1996 and ICD-10 thereafter. The allergy ICD codes used to extract ISD data can be found in Appendix 3.
Mortality
General Register Office for Scotland: Registered deaths
The GROS produces information on deaths and on population estimates that can be used to calculate population-based rates. Deaths are coded using the ICD-9 classification up to 2000 and ICD-10 thereafter. Further details are available at http://www.gro-scotland.gov.uk/.
| Appendix 3 Read codes for allergic conditions |
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| Appendix 4 ICD codes for allergic conditions |
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| Appendix 5 |
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| Appendix 6 |
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| Acknowledgements |
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| References |
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