The authors gratefully acknowledge the help of Edwina Gerry, Steven Keen, Catherine Oxley and Pam Lillie in preparing this chapter. The studies of incidence, prevalence and mortality were identified in collaboration with Jonathan Clowes. We are also grateful to the managers, clinicians and patients who gave their time to comment on the previous edition and to make valuable suggestions for improvements, most of which we have attempted to incorporate in this edition.
This chapter provides:
The chapter does not aim to provide a systematic review of the literature on diabetes epidemiology and health care. There are a number of systematic reviews available in the Cochrane Library and other sources. Instead, the chapter highlights the most recent important studies in these areas and suggests issues, particularly in the domain of health services research, where more information is needed. Considerable documentation and a large measure of agreement exist on the aims of diabetes care and how these might be achieved. The most important consensus documents on the subject are listed in Appendix II and some feature as specific references in the text. (Further explanation and relevant references for the statements made below are included in subsequent sections.)
Diabetes mellitus is a group of disorders with common features, of which a raised blood glucose is the most evident. It is a chronic disease which can cause substantial premature morbidity and mortality.
The diagnosis of diabetes is based on clinical symptoms and/or measurements of plasma glucose. Existing World Health Organisation (WHO) diagnostic criteria for diabetes are being revised following recommendations by a WHO Consultation Group. The American Diabetes Association (ADA) has also suggested a revision. Impaired glucose tolerance (IGT) and impaired fasting glucose (IFG) are indicators of increased risk of diabetes. The definition of gestational diabetes mellitus (GDM) is controversial although guidelines for its detection and diagnosis are available for the UK.
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There are four subcategories of diabetes:
It has been suggested that the terms 'insulin-dependent diabetes mellitus' (IDDM) and 'noninsulin-dependent diabetes mellitus' (NIDDM) be replaced by the aetiologically based categories type 1 and type 2 diabetes. Any form of diabetes may require insulin therapy. In type 1 diabetes this therapy is essential to maintain life. In type 2 diabetes it is a treatment option used to improve control of blood glucose.
Complications of diabetes may be classified into macrovascular (coronary heart disease, cerebrovascular disease and peripheral vascular disease) and microvascular (retinopathy, nephropathy and neuropathy).
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The prevalence of type 2 diabetes is increasing because of the ageing population and an increase in the prevalence of risk factors (e.g. obesity). An increasing incidence of childhood diabetes is also contributing to this.
There are many published studies on the incidence and prevalence of diabetes in various parts of the UK. Most studies involve Caucasian populations and the results are not applicable to non-Caucasian populations. It is known that the prevalence of diabetes is higher in people of South Asian and Afro-Caribbean origin. When estimating local incidence or prevalence it is preferable, rather than extrapolating findings from elsewhere, to use data from local studies if these are available. The incidence of type 2 diabetes in adults is difficult to determine given the latency of the condition. The incidence in children is easier to estimate, and has been shown to be around 14 per 100,000 children aged 14 and under per year. The overall prevalence of clinically diagnosed diabetes in people of all ages in the UK is between 2 and 3%. The prevalence of diabetes in children and young people (aged under 20) is around 0.14%. The prevalence of self-reported diabetes in adults is around 3%.
Macrovascular and microvascular complications contribute to premature mortality and morbidity. For example, mortality due to coronary heart disease is 2-3 times higher in people with diabetes than in those without. Also, the complications of diabetes have been shown to be more prevalent in areas of socio-economic deprivation, with increased mortality rates.
People with diabetes are cared for by a wide range of healthcare staff in primary and secondary care. Staffing levels and facilities vary between localities. People with diabetes have been shown to utilise health services in general more than people without. It is also likely that those who do not attend for regular review of their diabetes are likely to be the most frequent users of secondary care services for ensuing complications.
The direct healthcare costs of diabetes include those associated with prevention, diagnosis and treatment. It has been estimated that 8.7% of acute sector costs are spent on the care of people with diabetes. It has been predicted that the overall cost of hospital care for people with diabetes will increase by 15% by 2011.
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Currently, population screening is an issue only in relation to type 2 diabetes. Screening for diabetes for all people aged 40 or over has been recommended by the ADA. In the UK the National Screening Committee (NSC) is reviewing the issues of both retinal screening in people with diabetes and screening for diabetes itself. Screening for retinopathy has been shown to be an effective and cost-effective intervention. Current recommendations are that eye examinations should be performed annually as part of regular surveillance. Further research is required to determine whether this is the optimum frequency for all people with diabetes.
As a method of screening for diabetes itself, urine testing is known to have a low specificity with between 140 and 170 people identified for each true positive detected. It is also uncertain whether early diagnosis affects outcome, although several studies have clearly shown that complications are present in many people at diagnosis. This is an important area for further research. Opportunistic screening (also known as case-finding) is recommended good practice when adults present in primary or secondary care for other reasons.
Robust evidence has now shown that, in type 1 diabetes, intensive insulin therapy (IIT) delays the onset and slows the progression of retinopathy, nephropathy and neuropathy. Any improvement in glycaemic control in type 1 diabetes is likely to reduce the risk of these complications. However, IIT carries with it an increased risk of hypoglycaemia.
Similarly, robust evidence has also shown that intensive treatment with oral hypogycaemics and/or insulin in type 2 diabetes reduces the risk of microvascular complications. Tight control of high blood pressure is also important for the reduction of diabetes microvascular complications. These measures may also be effective in preventing or delaying macrovascular complications.
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Patients with diabetes are cared for in primary care, secondary-based care or a combination of both. It is still unclear which is the most effective setting, although it is clear that primary care with a recall system ('prompted care') can be as effective as secondary care in terms of glycaemic control and adherence to follow-up. It is the quality of care, rather than its location, which is likely to be the main determinant of patient satisfaction and outcome.
The appropriate model of care for a locality will depend on the current service arrangements and the enthusiasm and motivation of staff to make improvements in the quality of care. Planning these improvements should involve a multidisciplinary approach across primary and secondary care with representation of user and carer views. HAs and PCGs, and their equivalents elsewhere in the UK, should assess the healthcare need of the local population, and develop and monitor, in collaboration with their local diabetes services advisory groups (LDSAGs) or their equivalent, a local strategy for diabetes care.
There is a plethora of nationally and internationally agreed standards for care, protocols for treatment and measures for monitoring improvements. There are also several established and innovative planning tools: these include population databases (also known as 'registers'), case-mix systems (e.g. Healthcare Resource Groups, HRGs) and commissioning matrices. A national service framework (NSF) for diabetes is currently being compiled and is planned for release in 2001. The further development and enhancement of local diabetes services should not, however, be placed 'on hold' until that time. There is already evidence that a considerable gap exists between the performance of services and currently available evidence or professional consensus on what is desirable practice.
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There are established process and outcome measures for diabetes services which are useful for clinical audit or for monitoring purposes. Process measures include clinic waiting times and quality of communication with healthcare workers, the proportion of people receiving planned care, in particular an annual review, and the frequency with which key examinations and investigations are carried out and recorded.
Outcomes of diabetes care depend on whose perspective is being considered (patient, clinician or commissioner of services). They include quality of life and well-being, the achievement of optimal blood glucose, blood lipid and blood pressure levels and reduced incidence of short- and long-term complications.
The main requirements are:
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Diabetes mellitus and its complications can cause severe problems for affected individuals and their families. In turn, these impose a heavy burden on health services. There is no cure for diabetes, however, the primary prevention of some cases of type 2 diabetes is potentially feasible but has yet to be implemented as a public health measure. A further problem is the organisation of services for the care of people with diabetes. This is complex, involving hospital-based diabetes teams, community services, those working in primary care, patients and their families.
Some of the greatest current challenges to those involved in planning and delivering diabetes services are:
Assessing the impact of diabetes services also presents considerable challenges. However, the relevant process and outcome measures necessary for this are largely agreed and, with some exceptions, measurable with the careful use and interpretation of routine sources of information and ad hoc studies.
Diabetes is a group of disorders with common features, of which a raised blood glucose is the most evident. Existing WHO diagnostic criteria for diabetes are being revised following recommendations by a WHO Consultation Group.(1) The ADA has also suggested a revision.(2) WHO recommendations will also include criteria for the definition of diabetes complications and for the clinical staging of these complications.
The ADA and WHO recommendations are similar (although not, unfortunately, identical) but both differ from the 1985 WHO recommendations which were the previous worldwide standard.(3) The essential features of the ADA recommendations (for non-pregnant adults) are listed in Table 1 together with the main differences between these new provisional recommendations and the previous WHO recommendations.(3)
|
Table 1: Essential features of the American Diabetes Association (ADA) recommendations for diabetes (in non-pregnant adults) (2) and the main differences between these and the previous WHO recommendations (3) |
|
|---|---|
|
Provisional ADA recommendations |
Previous WHO recommendations |
|
General: Based on clinical stages |
Based on clinical states |
|
Diabetes: Symptoms of diabetes plus ‘casual’ PG m 11.1 mmol/l or FPG m 7.0 mmol/l or 2 h PG m 11.1 mmol/l during an OGTT Any of the above need to be confirmed on |
Same
FPG m 7.8 mmol/l or 2 h PG m 11.1 mmol/l during an OGTT |
|
Impaired glucose tolerance (IGT): 2 h PG m 7.8 mmol/l but < 11.1 mmol/l
|
Same |
|
Impaired fasting glucose (IFG): FPG m 6.1 mmol/l and < 7.0 mmol/l
|
Not previously recognised |
|
Normal glucose tolerance: FPG < 6.1 mmol/l or 2 h PG < 7.8 mmol/l |
Not specified |
|
‘Casual’ is defined as any time of day without regard to time since last meal. FPG, fasting plasma glucose; PG, plasma glucose; OGTT, oral glucose tolerance test. |
|
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If the ADA or new WHO recommendations are adopted in the UK, there will be little impact on clinical management. The main consequences are likely to be:
The magnitude of the effect on prevalence is likely to differ between groups of different ethnic origin. For example Unwin et al.(4) reported results from men and women aged 25-74 years living in Newcastle and participating in an epidemiological study of diabetes (i.e. including previously known and unknown cases). They calculated that the effect of changing from a definition of diabetes based on previous WHO criteria to the new ADA criteria was an increase in the prevalence of diabetes from 4.8 to 7.1% in Caucasians, from 4.7 to 6.2% in people of Chinese origin and from 20.1 to 21.4% in people of South Asian origin. Note that these findings differ from those already published for the US population aged 40-74 years in which the prevalence of diabetes was reduced (from 6.34 to 4.35%) by the use of the new criteria.(2)
The 1985 WHO recommendations introduced the term 'impaired glucose tolerance' (IGT) (see Table 1 for diagnostic criteria).3 IGT has long been recognised as a risk factor for ischaemic heart disease and, in some people, it is a precursor of type 2 diabetes.(5) The recent ADA recommendations proposed the adoption of an additional category - impaired fasting glucose (IFG).(2) The diagnostic criteria for this are also included in Table 1.
IGT and IFG are not yet regarded as clinical entities in their own right, but as indicators of increased risk for the future development of diabetes and for cardiovascular disease. Abnormal glucose tolerance is a component of the 'insulin resistance syndrome' also known as 'Reaven-Modan syndrome' or 'syndrome X'. In addition, this syndrome has one or more of the following features: obesity, dyslipidaemia (usually high triglyceride and/or low HDL cholesterol) and hypertension.(6,7)
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The ADA criteria summarised in Table 1 refer to non-pregnant adults. The definition of gestational diabetes mellitus (GDM), the magnitude of its effects on the outcome of pregnancy and the best method of screening for this condition are controversial. Opinions and practices in the UK vary considerably from place to place and differ from those of the US.(2,8) The most recent summary of UK practice is that published by the Pregnancy and Neonatal Care Group of the joint [British Diabetic Association (BDA) and Department of Health (DH)] Saint Vincent Task Force, which proposed that new diagnostic criteria for gestational diabetes should be formulated based on prospective studies of pregnant women.(8) In the meantime, it recommended the screening procedures and definitions summarised in Box 1.
| Box 1: Screening procedures and definition of gestational diabetes (8) |
|||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Urine should be tested for glycosuria at every antenatal visit. Timed random laboratory blood glucose measurements should be made:
A 75g OGTT with laboratory blood glucose measurements should be carried out if the timed random blood glucose concentrations are:
|
|||||||||||||||
The management of established diabetes in women who become pregnant is a separate issue from GDM and gestational IGT. There is no controversy about the fact that stringent control of blood glucose during pregnancy is beneficial in terms of perinatal mortality and that the prevention of congenital malformation requires careful pre-pregnancy care.(8)
The diagnosis of type 1 diabetes, especially when it occurs in children, does not usually pose problems of definition because there are usually one or more of the classical symptoms of diabetes - thirst, polyuria, malaise and weight loss. The clinical picture, taken with the result of a urine glucose or 'casual' blood glucose estimation (Table 1) is usually sufficient to make the diagnosis. On the rare occasions that an OGTT is required in a child, the dose is calculated on a dose per body weight basis.
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The ADA and WHO recommend that the subclassification of diabetes based on insulin dependency, IDDM and NIDDM, should now be abandoned in favour of the aetiologically based classification shown in Box 2. This is partly because patients with any form of diabetes may require insulin treatment at some stage of their disease. The most important subcategories in public health terms are type 1 and type 2 diabetes. The most important long-term vascular complications of diabetes are also outlined in Box 2. Diabetes may also predispose to non-vascular conditions, such as cataract. Table 2 lists the relevant categories in the International Classification of Diseases (ICD).
| Box 2: Aetiological classification of diabetes mellitus (2) |
| Type 1 diabetes: *-cell destruction, usually leading to absolute insulin deficiency. Type 2 diabetes: may range from predominantly insulin resistance with relative insulin deficiency to a predominantly secretory defect with insulin resistance. Other specific types:
Gestational diabetes mellitus. Long-term vascular complications of diabetes. Macrovascular complications:
Microvascular complications:
|
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|
Number |
Title |
Includes |
|
E10 |
Insulin-dependent diabetes mellitus |
diabetes (mellitus): brittle juvenile-onset ketosis-prone type I |
|
E11 |
Non-insulin-dependent diabetes mellitus |
diabetes (mellitus) (nonobese) (obese): adult-onset maturity-onset nonketotic stable type II non-insulin-dependent diabetes of the young |
|
E12 |
Malnutrition-related diabetes mellitus |
malnutrition-related diabetes mellitus: insulin-dependent non-insulin-dependent |
|
E13 |
Other specified diabetes mellitus |
|
|
E14 |
Unspecified diabetes mellitus |
diabetes NOS |
|
E15 |
Nondiabetic hypoglycaemic coma |
|
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One of the first steps in assessing need in a locality involves assembling information on the frequency of occurrence of diabetes:
There are a number of ways to estimate the above. In practice, a trade-off between precision and feasibility will need to be made. The following list is roughly in descending order of precision:
The text below gives brief descriptions of prevalence, incidence and mortality. Appendix III is intended to be used in the practical tasks of calculating local numbers of people affected by diabetes and its complications. A computer-based model using the data from Appendix III is now available to assist local planning of diabetes services (Appendix III gives details of how to obtain a copy of this model).
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Since 1980, diabetes incidence (10-26) and prevalence (27-46) estimates for the UK have been published from a number of local and national studies. Clearly, when estimating local incidence or prevalence it is preferable, rather than extrapolating findings from elsewhere, to use data from local studies if these are available. For that reason, the references to these published studies are given in full. Some of these are now quite dated and most, although not all, were of populations that were largely Caucasian in origin. For localities in which no suitable data are available, age- and sex-specific incidence and prevalence estimates, derived from published studies, are given in Appendix III to allow locally relevant calculations to be made.
Incidence is well documented in children because of the relatively clear-cut nature of the condition in this age group and the presence of well-validated population databases.(11-25) A recent estimate, from one of these databases (24) gives an annual incidence, in children aged 0-14 years, of 13.91 per 100,000 (95% Confidence Interval: 13.51-14.66), when age- and sex-standardised to an external reference population.(47) The prevalence of diabetes in children and young people (aged under 20) is reported as 14.0 per 1000.(48)
For diabetes in adults, 'incidence' is not a useful concept because the diagnosis of diabetes may be made a considerable time after the disease process has begun. Information on the frequency of diagnosis of new cases is sparse and some of this is now out-dated (e.g.Barker et al.(10) ), although some more recently published data are available.(26)
The prevalence of diabetes in adults is well documented, for specific localities, by means of ad hoc epidemiological studies. Poole, in the south of England, estimated the crude prevalence of diabetes, in 1996, to be 2.13% in males, 1.60% in females and 1.86% overall.(46) The equivalent age-adjusted (to the 1991 UK Census population) prevalences were 1.74, 1.37 and 1.55%.
Routine data are available from general practice.(49) The General Practice Morbidity Survey provides data on prevalence, 'incidence' (more correctly, frequency of presentation of new cases) and consultation rates from a number of general practices with a total patient population base of around 2.5 million.(49) Cases are defined as those permanently registered with a general practitioner (GP) who have a clinical diagnosis of diabetes recorded at any time and/or treatment with diabetic drugs from defined sections of the British National Formulary. The overall prevalence of diabetes (all ages, types 1 and 2 combined) estimated from this source is 1.19% for males and 1.02% for females.
The National Health Survey for England (45) has also published prevalence data, in this case self-reported diabetes recorded by interview questionnaire in a sample of just under 12,000 adults. The survey has also estimated the prevalence of undiagnosed diabetes, as defined by a glycosylated haemoglobin concentration of 5.2% or more. In men, the prevalence of self-reported diabetes was 3%, whereas the corresponding figure in women was 1.8% (overall, men and women combined, 2.4%). The prevalence of previously undiagnosed diabetes was 1% in men and 1% in women. Thus, the prevalence of all diabetes, diagnosed and undiagnosed, estimated from this source, was 4% in men, 2.8% in women and 3.4% in all adults.
The main advantages of using data from ad hoc epidemiological studies are that diabetes is usually defined in a consistent manner (most commonly following the 1985 WHO definition (3) ) and that information on IGT and the prevalence of previously undiagnosed diabetes has often been estimated by means of the OGTT. The main disadvantages of using national GP morbidity statistics are that no consistent definition of diabetes has been used and that the burden on local services may be underestimated due to the failure to ascertain some cases, particularly those treated by dietary therapy alone. The problem of definition also applies to self-reported diabetes, although this method is more likely to identify people treated with dietary therapy alone.
Some of the listed epidemiological studies make specific reference to populations of non-Caucasian origin.(28,31,36,38,41) In general, the prevalence of diabetes in these groups is higher, sometimes much higher, than in Caucasian populations of the same age. For diabetes in children, there is little difference between incidence in the various ethnic groups.(20) However, for adults, diabetes (mainly type 2 diabetes) is 2-4 times as common (depending on gender and age) in people of South Asian origin as in those of Caucasian origin.(36,48) People of South Asian origin are heterogeneous and prevalence may vary among them, although detailed analysis of prevalence in relation to area of origin and religion suggests that there is much less difference between South Asian groups than there is between them and their Caucasian neighbours.(50) In people of Afro-Caribbean origin, prevalence is also high and the majority of diabetes is, again, type 2.(31,48)
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The most important consequence of diabetes is premature death from coronary heart disease (CHD). It has long been known and is still the case, that mortality rates from CHD are 2-3 times higher in people with diabetes than in their non diabetic peers, and that the additional risk of CHD in people with diabetes cannot be explained in terms of the 'classic' risk factors for CHD, i.e. smoking, hypertension and serum lipid concentrations.(51-53)
There are now a large number of studies of mortality rates in people with diabetes.(54-66) Again, these are listed in full to enable specific local rates to be calculated if the relevant studies exist.
Other macrovascular complications of diabetes are cerebrovascular disease (CVD) and peripheral vascular disease (PVD). The consequences of these are premature mortality and morbidity as a result of stroke or circulatory problems of the lower limb resulting in ischaemic pain, ulceration, gangrene and amputation.
The pathognomonic sequelae of diabetes are the microvascular complications, i.e. retinopathy, nephropathy and neuropathy. Alone or, more frequently in combination, these contribute greatly to morbidity from diabetes and, particularly in the case of nephropathy, to premature mortality from renal failure.
The complications of diabetes, e.g. retinopathy or cardiovascular disease, have been shown to be more prevalent in areas of high socio-economic deprivation.(67,68) Also, the use of insulin in these areas has been shown to be less than elsewhere. (67,69) Mortality due to diabetes is higher in people from lower socio-economic groups, the unemployed and in those with a 'low attained level of education'.(65,70,71)
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The prevalence of diabetes will increase in the next decade, if only because of the ageing of the population. In addition to this influence, however, a number of other temporal trends, particularly the increase in adult obesity will contribute to the increase in the number of people with type 2 diabetes in the population of the UK.(72) The incidence of type 1 diabetes in children has also been found, in some population studies, to be increasing. The rate of this increase has been put as high as a doubling of incidence every 20-30 years.(73) A general increase in incidence in children has not been confirmed by all studies.(74) However, the best evidence for such an increase relates to the youngest age group (birth to 4 years), children who will have the longest time to develop complications.
Estimates of the future prevalence of diabetes have been made on a global basis and for the UK.(75,76) The latter highlights the inadequacy of current data, particularly for mortality, for the prediction of future prevalence in the UK. Their 'best guess' is that the total prevalence of diabetes will increase by 25% for males and 14% for females from 1992 to 2010.
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As with all chronic diseases, services for people with diabetes must be organised around the evolving, individual needs of the affected person. With this in mind, WHO and the International Diabetes Federation (IDF) have consistently stressed self-care and the role of patients and patients' organisations in determining how care should be provided. Thus the strategic recommendations of the Saint Vincent Declaration (77) (see Appendix IV) and the related Acropolis Affirmation (78) were formulated by joint discussion between professional carers, affected individuals and patients' organisations. Similarly, the best of national and local policies and protocols have been drawn up in consultation with patients and their relatives (e.g. a 'Patients' Charter' (79) (Appendix V) often under the guidance of LDSAGs (80) or similar bodies.
The main components of diabetes services are the hospital-based diabetes team or teams (usually one or more consultant diabetologist, or paediatrician, other consultant staff, specialist nurse, dietician and podiatrist, with suitable junior medical, laboratory and administrative support), the primary care team (GP, practice nurse and administrative support) and other community support (podiatrist, dietician and community nurse). Seventy-five per cent of districts or their equivalent have a 'diabetes centre'.(81) More detailed information on the facilities offered by diabetes centres is given in Appendix VI. The range of components is outlined in Table 3.
Table 3: Staff necessary for a comprehensive diabetes service
|
Service |
Staff |
Service |
Staff |
| Services provided in primary care |
General practitioners Practice nurses Supported by:
and, in some localities:
|
Services provided in hospitals, for children |
Paediatrician with a special interest in diabetes** Specialist nurses/liaison health visitors Supported by:
|
|
Services provided in hospitals, for adults |
Diabetologists* Specialist nurses Supported by:
|
Services provided in hospitals, for pregnant women with pre-existing diabetes and women who develop diabetes during pregnancy |
As for adults with the addition of obstetricians and midwives |
|
Services for the management of patients with complications |
As for adults with the addition of ophthalmologists, vascular surgeons, cardiologists, renal physicians and psychosexual counsellors |
Preventive and support services in the community |
Health promotion staff Local authority staff Social services Residential/nursing home staff Voluntary services
|
*Older people may be cared for by a geriatrician with a particular interest in diabetes or in jointly run clinics. **Increasingly, young people with diabetes are managed in clinics run jointly by paediatricians and diabetologists. Staffing levels and facilities vary from place to place. More detailed information staff and facilities have been collected by the BDA. (31,32)
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The frequency of diabetes 'episodes' in general practice (i.e. 'an instance of diabetes-related sickness in which there was one or more general practitioner consultations') is 11.1 per 1000 persons at risk per year.(49) This is more than twice the rate of the general population. Age- and sex-standardised admission rates are available for use as primary care effectiveness indicators, a part of the National Framework for Assessing Performance.(83)
A study in South Glamorgan has shown that patients with diabetes accounted for 5.5% of hospital admissions and 6.4% of outpatient attendances, and that patients with diabetes occupy 9.4% of acute sector bed days.(84) Inpatient and outpatient activity was studied for patients with and without diabetes for all diagnoses and procedures, even if not related to diabetes. (84) Some results are summarised in Table 4.
Table 4: Hospital utilisation by patients with and without diabetes
|
Patients with diabetes |
Patients without diabetes |
|
Mean length of stay of 11.4 bed days |
Mean length of stay of 7.1 bed days |
|
Mean of 5 outpatient attendances per patient per year (for patients aged 25–34 years) |
Mean of 0.5 outpatient attendances per patient per year (for patients aged 25–34 years) |
|
Mean of 4 outpatient attendances per patient per year (for patients aged over 75 years) |
Mean of 1.5 outpatient attendances per patient per year (for patients aged over 75 years) |
|
Occupy 5–6 acute hospital bed days per person per year85,86 |
Occupy one acute hospital bed day per person per year |
The use of hospital resources by people with diabetes is heavily influenced by the presence or absence of complications. The CODE-2 (Cost of Diabetes in Europe - Type 2, a registered trademark of SmithKline Beecham plc) study demonstrated that, compared with patients with no recorded complications, those with only microvascular complications use just over twice the amount of hospital resource.(87) For patients with macrovascular complications this figure is around three and those with both microvascular and macrovascular complications require around five and a half times the hospital resources of those without complications.
These crude estimates of service usage mask a substantial unmet need, the two most important aspects of which are:
The proportion of patients with no established programme of care will vary from district to district. There are data on the proportion who have a programme of follow-up care at a hospital (estimates range from 29 to 46%), but these studies are now rather dated because they were carried out before the establishment of diabetes centres which are likely to have increased access to hospital-based care.(81,88-90)
Although there is little published evidence on the subject, it is likely that patients not attending for regular clinical review (either in primary or secondary care) will be the most frequent users of hospital inpatient facilities, particularly for problems such as diabetic ketoacidoses and for complications such as diabetic foot disease.
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One of the issues which urgently requires clarification is whether population screening for undiagnosed diabetes (almost exclusively type 2 diabetes) is effective and cost-effective. This issue is dealt with in detail below but it is mentioned briefly here, before a summary of current information on costs, beacuse policies on screening for diabetes are closely linked to the economics of diabetes care.
Any population-based screening programme for diabetes clearly has cost implications for the health service, those of publicising and administering the programme, taking and testing blood or urine samples, communicating the results to those screened and dealing with the resulting newly identified cases. There are also costs to the individual, not only the direct costs of attending screening sessions, which apply to all those screened, but the cost, to those found likely to have diabetes, of a diagnosis brought forward in time with its implications for lifestyle, life assurance and, in some cases, employment.
These costs may be severe for both false positives and true positives, and there are also potential costs for false negatives, unwarranted reassurance and time lost for therapeutic intervention. The latter statement implies that earlier therapeutic intervention has its benefits. This is currently not proven although accumulating indirect evidence suggests that it may be the case. Relevant observations are: (i) evidence proving the role of near-normal blood glucose control in preventing or delaying complications in both type 1 and type 2 diabetes (see below); and (ii) evidence that a substantial proportion of patients with type 2 diabetes already has microvascular complications at diagnosis (20%, according to the United Kingdom Prospective Diabetes Study (UKPDS) - again, see below).
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Information on the costs of diabetes, in particular its healthcare costs, is available for many countries, including the UK.(84,91-97) The economic aspects of diabetes are currently of considerable interest internationally.(87,98)
Although the healthcare costs of secondary and tertiary care for people with diabetes are reasonably well quantified, the costs of primary and community care have received little attention. Costs per episode are considerably higher for secondary and tertiary care than for primary care but the number of episodes is greater in the latter. The costs per patient are likely to be lower in the short-term in primary care. However, unless this care is of sufficient quality to prevent or delay complications, or at least identify them early, the long-term costs are likely to be higher.
Most of the economic impact of diabetes results from its complications. Foot problems, caused by diabetic neuropathy and peripheral vascular disease, and cardiovascular disease, in particular, account for a high proportion of hospital admissions, considerable disability and, in the case of cardiovascular disease, considerable premature mortality.(57,99) Of the currently preventable complications of diabetes, diabetic foot disease and diabetic eye problems incur the greatest levels of service use and hence costs. Renal replacement therapy is expensive but needed less often than other services. Estimated costs, for patients with type 1 diabetes, for each of these complications are available.(93)
The economic impact of diabetes can be categorised into direct and indirect costs. Direct costs, such as those quoted above, include the costs of preventing, diagnosing, managing and treating diabetes, including hospital costs and social services. Indirect costs result from the consequences of morbidity, disability and premature mortality and the loss of productive output for society.(98,100) Owing to a number of methodological problems, indirect costs are difficult to estimate. When they have been estimated, e.g. Gray et al.,(93) they have been found to be at least as great as the direct costs.
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In this section, where appropriate, evidence is assessed according to a scoring system outlined in Appendix VII.
Screening ('the systematic application of a test or inquiry, to identify individuals at sufficient risk of a specific disorder to warrant further investigation or direct preventive action, among persons who have not sought medical attention on account of symptoms of that disorder' (101) ) may be proactive or opportunistic. In proactive screening, members of a specific population are targeted, whereas opportunistic screening, sometimes referred to as 'case finding', is the 'invitation for testing of apparently asymptomatic individuals not otherwise seeking medical care' (102).
Although the ADA advocates 3-yearly testing for diabetes in all adults aged 45 and over, screening for diabetes in the general population is not currently advocated in the UK.(2) The professional advisory committee of the BDA is undecided about the benefits of screening for diabetes in the general population, describing the role and value of screening as 'unclear'.(103) The report advocates opportunistic screening 'alongside screening for other problems such as hypertension and obesity'. It also suggests that screening may take the form of 'a single-point initiative of a practice (or Health District) across a larger population'.(103) If screening is to be carried out, it recommends restricting this to adults between the ages of 40 and 75, using a rescreening frequency of 5 years and adopting the criteria listed in Box 3.
| Box 3: Procedures, criteria and practice for testing asymptomatic individuals for diabetes as advocated by the professional advisory committee of the BDA (103) |
| If blood glucose testing is used then a ‘positive’
result is a FPG of > 6.6 mmol/l or a venous PG 2 h after a
75 g oral glucose load > 8.0 mmol/l.
If urine testing is used then any glucose in a sample passed 2 h after a main meal is a ‘positive’ result. A FPG in the range 5.5–6.6 mmol/l is an equivocal result which should be repeated in 6–12 months if there is any risk factor for diabetes (obesity, a family history of diabetes or ‘Asian/African’ racial origin). If blood glucose or urine tests are ‘negative’ then they should be repeated in 5 years, or 3 years if any of the risk factors above are present. |
The report also summarises the elements of a diabetes screening test.(103) The sensitivity, specificity and predictive value of, for example, varying thresholds of FPG as a screening test for diabetes (as defined by the previous WHO criteria1) are provided and are also shown in Table 5. (103)
Table 5: Sensitivity, specificity and predictive value of various fasting plasma glucose (FPG) thresholds compared with 1985 WHO criteria (1) for diabetes
|
FPG |
Sensitivity |
Specificity |
Predictive value of |
|
> 7.8 |
32 |
100 |
100 |
|
> 6.7 |
30–60 |
>90 |
45–55 |
|
> 5.5 |
70–90 |
around 90 |
20–45 |
|
> 4.5 |
100 |
< 90 |
< 10 |
*Prevalence unspecified.
Screening the general population, using a self-testing method for the detection of post-prandial glycosuria, has been reported in a study based in Ipswich.(104) In this study, 13,795 subjects aged between 45 and 70 years and not known to have diabetes were posted a urine testing strip with instructions and a result card. Of the 10,348 (75%) who responded, 343 (3.3%) were found to have glycosuria and diabetes was confirmed in 99 (30%) of the 330 who attended for OGTT. A further 65 had an OGTT result in the IGT range. Thus large-scale screening is possible and is relatively cheap in terms of the cost of materials, postage, etc. However, at least in this study, around 140 people had to be contacted for each true positive case detected and the short- and long-term consequences of these early diagnoses were not evaluated.
The issues surrounding population screening for diabetes are complex and important, and are currently being addressed in the UK by the National Screening Committee. For this reason, screening for diabetes, particularly type 2 diabetes, has been highlighted as an issue which HAs and their equivalents need to keep in mind as a potential future development. Terminology is often used loosely. In particular, the terms screening, case-finding and opportunistic screening are often used in different senses and the screening test is sometimes endowed with a degree of certainty (either positive or negative) which even the 'gold standard' does not merit.
Greenhalgh (105) emphasised the last of these points in her anecdote about a patient who described symptoms of diabetes and was tested, once, for glycosuria. On being found to be negative, he was reassured that he did not have the disease. Casual (or random) testing for glycosuria is grossly insensitive (Greenhalgh quotes a sensitivity of 22%). This is improved by post-prandial testing but, as shown by Davies et al.,(104) can still remain below 30%. Greenhalgh, quoting data from Andersson et al.,(106) provides a similar estimate of yield of true positives as did Davies et al.(104) - around 170 people need to be contacted for each true positive detected.
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The effectiveness and cost-effectiveness of screening for diabetic retinopathy have been reviewed.(107-110) Bachman and Nelson's comprehensive review indicates that an organised programme of early detection and treatment would be likely to reduce blindness among people with diabetes.(110) The results of this review are summarised in Box 4.
| Box 4: Screening for diabetic retinopathy |
|
| Source: Bachman and Nelson (110) |
The National Screening Committee have considered in some detail the question of population screening for diabetic retinopathy. Their recommendation is that this should be introduced and a commitment has been made for this to be a national policy from April 2000. The recommended methods are likely to be digital retinal photography with or without direct ophthalmoscopy.
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The DCCT reported its findings for type 1 diabetes in 1993.(111) By providing robust evidence (I-1), the DCCT confirmed the consensus opinion that improving glycaemic control in type 1 diabetes is effective in the primary and secondary prevention of retinal, renal and neurological complications. A Swedish study (112) (I-2), among others, came to similar conclusions and a meta-analysis (I-1), which preceded the reporting of the DCCT, found that intensive blood glucose control was effective in the secondary prevention of microvascular complications.(113) The DCCT and its results are summarised in Box 5.
| Box 5: Summary of the DCCT |
|
Some questions remained unanswered, such as the applicability of the results of the DCCT to patients with type 2 diabetes, patients with advanced complications and young children.(114)
Some of the implications of the DCCT for the UK are:
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The DCCT led to debate and speculation about the implications of its results for people with type 2 diabetes.(118) However, two studies now provide direct evidence of the beneficial effect of improved blood glucose control on the development of complications in type 2 diabetes. These studies were already underway when the DCCT was published.
The first of these is the Kumamoto Study, published in 1995.(119) Using a study design similar to the DCCT, Ohkubo et al. examined the effect of 'multiple insulin injection therapy' in patients with type 2 diabetes on the progression of microvascular complications (I-2). The study was small, involving 110 Japanese patients who did not have the characteristics typical of patients with type 2 diabetes in the UK. For example, none of the Japanese patients were obese and, as a group, had significantly lower body mass indices than most UK patients. The results were similar to those of the DCCT in that they showed that improved glycaemic control delayed the onset and progression of retinopathy, nephropathy and neuropathy. The extent to which these results could be applied to people with type 2 diabetes in the UK was uncertain, however.
Since the publication of the Kumamoto study, the results of the UKPDS have become available.(120-124) The main aims of the UKPDS (I-1) were: (i) to determine whether intensive control of blood glucose would prevent complications in type 2 diabetes, (ii) to answer the same question for the tight control of high blood pressure, and (iii) to determine whether any specific treatment (specific oral hypoglycaemic agent and/or insulin) confers particular benefit. The UKPDS is summarised in Box 6.
Editorial commentaries on the final results of the UKPDS highlighted the fact that 'intensive therapy of type 2 diabetes is beneficial, despite the associated weight gain' but that the study 'did not unequivocally show whether an intensive [blood glucose] strategy influences cardiovascular disease'.(125-128) With regard to the latter, however, its results are reassuring in terms of the 'absence of an obvious pernicious effect [on death from cardiovascular disease] of either insulin or sulphonylureas'.(125) Orchard (126) draws attention to the benefit, in relation to survival with cardiovascular disease, of simvastatin-mediated cholesterol lowering in type 2 diabetes (the 4S study (129) ).
Morgensen (127) emphasised that the UKPDS demonstrated the advantages of effective control of high blood pressure in people 'even more convincingly' than the effect of tight blood glucose control. This was influential in reducing deaths from diabetes-related causes (Box 6), whereas the 'difference between the treatment regimens in their effect on haemoglobin A1c concentrations (7.0% v. 7.9%) was probably not large enough to result in great differences in cardiovascular outcome'. Combination therapy was often needed to produce this effective decrease in blood pressure. The proportion of UKPDS subjects requiring three or more antihypertensive treatments to achieve effective blood pressure control was 27% and 31% respectively. This editorial also re-emphasises the 'double jeopardy' of type 2 diabetes combined with high blood pressure and the third 'bad companion' of type 2 diabetes, dyslipidaemia.
| Box 6: Summary of United Kingdom Prospective Diabetes Study |
| The UKPDS was a multicentre randomised
controlled trial commenced in 1977 and carried out in the UK.
Initially, 4209 patients (aged 25–65 years) with newly diagnosed type 2 diabetes were randomly allocated to different therapies: ‘conventional’ diet and exercise therapy, or ‘intensive’ diet and exercise and oral hypoglycaemic or insulin therapy. Over the 10 years of the study, the mean HbA1c in the intensively treated group was 11% lower than in the conventionally treated group [7.0% (SD 6.2–8.2) vs. 7.9% (SD 6.9–8.8)]. (120) Compared with the conventional group, the risk for any diabetes-related endpoint in the intensive group was 12% lower (95% CI 1–21%, p = 0.029). This represented a reduction, in the absolute risk of death, from 46.0 events per 1000 patient years to 40.9 events per 1000 patient years. (120) The reduction in risk of diabetes-related death, in relation to this difference in glycaemic control, was not statistically significant. (120) There was a statistically significant 25% (95% CI 7–40%, p = 0.0099) reduction in risk for the microvascular endpoints considered. This represented a reduction in absolute risk from 11.4 events per 1000 patient years to 8.6 events per 1000 patient years. (120) There was no significant difference in any diabetes-related endpoints between the three intensive agents (chlorpropamide, glibenclamide and insulin). (120) A statistically significant improvement in blood pressure control was achieved during the course of the study; mean blood pressure in the tightly controlled blood pressure group was 144/82 mmHg compared with 154/87 mmHg (p < 0.0001). This difference was clinically significant in that the risk of death from diabetes-related causes, in relation to this difference in blood pressure, was reduced by 32%, that of stroke was reduced by 44% and that of microvascular endpoints by 37%. (122) There was no perceptible difference in the effectiveness of captopril and atenolol and the majority of subjects randomised to the blood pressure control groups required more than one anti-hypertensive treatment to achieve effective control. |
Watkins (128) observed that the 'use of insulin per se confers neither additional advantages nor disadvantages, while the use of sulphonylureas does not lead to additional risks'. He also emphasised the importance of the findings concerning blood pressure control and 'that ACE [angiotensin converting enzyme] inhibitors or * blockers are equally effective in achieving the benefits of lowering blood pressure'. Despite the emphasis, in the trial's results of the advantages of adding oral hypoglycaemic or insulin treatment to the basic dietary therapy Watkins considered that the 'role of diet, exercise and weight reduction remain, of course, paramount in treatment of Type 2 diabetes'.
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Although the achievement of as normal a blood glucose as possible is a contributory factor in the prevention of long-term complications (and is clearly fundamental to the avoidance of hypoglycaemia and hyperglycaemia) other factors are also known to be important. Some of these are amenable to therapy or behavioural modification, for example the control of hypertension for nephropathy, cardiovascular disease and cerebrovascular disease.
The importance of smoking cessation in people with diabetes has received some attention. This suggests that smoking is associated with poor glycaemic control and increased prevalence and progression of microvascular complications.(130-132) A study in Atlanta, USA, showed that people with diabetes are as likely to smoke as those without, and that 40% of smokers with diabetes reported that their doctor had not advised or helped with cessation.(133) Programmes designed to encourage smoking cessation specifically in people with diabetes are rare and, where evaluated, have proved unsuccessful.(134)
The most effective setting for delivery of care for people with diabetes is open to debate. Randomised controlled trials of hospital versus primary care have been reviewed by the Cochrane Diabetes Group (I).(135) Only five trials were sufficiently robust to be included in their meta-analysis. The results suggest that 'prompted' primary care, i.e. a programme including a system of recall and regular review of diabetes, can be as good as hospital care in terms of glycaemic control. Such prompted care is better than hospital care in terms of maintaining contact with patients.
The results of this meta-analysis should be interpreted with caution, however, because of interstudy variation and statistical heterogeneity. The results are, however, consistent with an earlier review.(136) The effective element appears to be the computerised recall with prompting for patients and their family doctors. The extent to which care should be 'shared' (between the hospital team and primary care) is likely to vary from practice to practice, from patient to patient and from time to time during the natural progression of diabetes in any given patient. There will be times, e.g. during childhood, during and immediately prior to pregnancy and when complications are developing, when care by a hospital team is necessary.
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Cost-effectiveness studies of diabetes care, in the UK and in countries with similar healthcare systems, are relatively rare. However, components of this care, such as screening for diabetic retinopathy, preventive foot care and intensive control of hypertension in people with diabetes, have received some attention. In general, it is reasonable to follow the widely held consensus that prompt diagnosis, patient education and regular, high-quality clinical review are likely to contribute to the cost effectiveness of local diabetes programmes.
Preventive foot care, incorporating an educational component and organised on an outpatient basis is an option which has been shown, in Australia, to reduce the need for hospital admission for lower limb complications, in the UK, to reduce amputation rates and, in the Netherlands, to reduce the cost of diabetic foot disease.(137-139) Given the large contribution of diabetic foot disease to acute sector costs, preventive foot care would have to be either very ineffective, very costly or both not to be cost-effective.(140-142)
Recently, the effective control of blood pressure, with ACE inhibitors or b-blockers, in people with diabetes has been shown to be cost-effective.(124) The additional resources required to achieve this control were recouped within the 10 years of the (UKPDS) trial by the cost savings associated with the reduced frequency of complications and the life years gained. This conclusion from direct observation in a trial of type 2 diabetes in the UK supports the general conclusion of a US modelling study of type 1 diabetes (based on the results of the DCCT) and the US study of type 2 diabetes (based on extrapolation of DCCT results to type 2 diabetes).(117,143,144) Intensive therapy, directed at improved control of blood pressure or control of hyperglycaemia, although more costly than routine care, achieves significant reductions in healthcare costs in the long run. This 'long run' is measured in years but, ultimately, this intensive therapy is cost-effective in terms of direct healthcare costs and benefits.
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The organisation of services for the care of people with diabetes is complex, involving hospital-based diabetes teams, community services, those working in primary care, patients and their families. The most appropriate model of care for people with diabetes is not readily apparent given the lack of effectiveness data on the relative importance of primary or secondary care.(135,136) One thing is certain, however, as stated by Greenhalgh,(145) 'inadequacies in the provision of diabetes care in the UK will not be redressed simply by sounding the trumpet for a primary-care-led system, nor by the formation of political factions to protect the traditional territory of the [hospital] diabetologist'. Instead, services need to be designed from the point of view of the user, 'tailored to the individual patient' and not rigid in their adherence to district or hospital protocols.(145)
The provision of care for people with chronic diseases, including diabetes, is shifting from secondary to primary care with the benefits of increased access to care and increased patient satisfaction because of this increased access.(146,147) In England, PCGs soon to be primary care trusts (PCTs) are taking over from HAs as commissioners of health care.(148) This policy shift will lead to PCGs and PCTs (and their equivalents elsewhere in the UK) emerging as the commissioners and providers of care for people with diabetes. Specialist expertise, 'hi-tech' facilities and, in most localities, leadership are likely to remain in secondary care. Part of the role of HAs or their equivalent is to ensure health and healthcare needs are met appropriately and that the quality of care is monitored and maintained, for example by taking the lead in the development of local Health Improvement Programmes (HImPs).(148)
National guidance on the key features of a good diabetes service has been issued [NHS Executive HSG(97)45] and this emphasises the need for a process of continual improvement of diabetes services at a district level. The balance between primary and secondary care for people with diabetes can and will vary between districts and this is justifiable with one proviso: that nobody with diabetes should receive inexpert, unstructured care at any location. The BDA has recently issued guidance on the ways in which diabetes can feature in local HImPs (Health Improvement Programmes - an opportunity to improve the health of people with diabetes - available from the BDA). This document emphasises the multi-agency nature of HImP implementation with 4 of 11 designated areas for action citing the local authority as the lead organisation.
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Integrated district diabetes services have frequently been developed with support and leadership from the local hospital-based diabetes team. This team should consist of at least one consultant trained in diabetes care, the exact number will depend on the size of the district, and the prevalence of diabetes, and the appropriate number of diabetes specialist nurses, dieticians and podiatrists. Recommendations for the structure of specialist diabetes care services have been published by the BDA.(149)
The main clinical roles of the team will be in education, specialist patient care, particularly of those with newly diagnosed type 1 diabetes, active complications, pregnant women with diabetes and diabetes of any kind which is difficult to control. Children with diabetes should be looked after by a team which includes a paediatrician with a special interest in diabetes. The hospital team will also give advice on the management of acute problems and ensure that proper clinical links are made with other hospital services such as ophthalmology, cardiology, renal medicine, medicine for the elderly, obstetrics, and general, vascular and orthopaedic surgery.
The key elements to be followed when planning service or health improvements for district residents with diabetes mellitus are shown in Box 7.
| Box 7: Key elements for planning diabetes service or health improvements |
|
The greatest current economic and organisational challenges to those involved in commissioning diabetes services are related to the four key areas (A, B, C and D) illustrated in Figure 1. Within these areas are the boundary between not having diabetes and having diabetes (A, primary prevention), between diagnosed and undiagnosed diabetes (B, screening and early diagnosis), between being in contact and out of contact with health services (C, access to services) and between receiving effective care and receiving ineffective care (D, quality of care).
Considerable documentation and a large measure of agreement exist on the aims of diabetes care and how these might be achieved. These should include:
Figure 1
|
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Many general practices have taken part in 'chronic disease management programmes'(see The Red Book (153) ) for diabetes and asthma. Practices may also have developed health promotion clinics for their diabetic patients.(154) As more patients with diabetes are seen predominantly in primary care, the care provided must be of the highest quality. Quality care is most likely to take place when the following are available (155)
Revised and updated recommendations for the management of diabetes in primary care are included in a BDA publication with that title, as listed in Appendix II. The improvement of diabetes services in a primary care setting should occur as part of a district or PCG strategy. This is explored above. As a minimum, HAs, PCGs or their equivalents can encourage high-quality diabetes care at primary care level if they:
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Developments in information technology have enabled more and more comprehensive databases of diabetes care to be established and used. These have progressed from simple card indices of individuals known to have the disorder through to sophisticated distributed databases which allow information on healthcare episodes occurring in many different locations to be accessed from a number of sites. Access to such data, carefully controlled and monitored to ensure confidentiality, can enhance both the care of the individual patient and the planning and monitoring of services for populations.
The work involved in establishing such population databases must not be underestimated. Particularly in inner cities, any one ascertainment source may grossly underestimate the number of people that need to be included. Burnett et al.,(35) working in inner London, found that only 40% of 4674 patients identified from multiple sources had Prescription Pricing Authority (PPA) returns. Only 43% appeared on general practice diabetes registers and only 57% could have been identified from attendances at the district hospital. The message from this research is clear, multiple, frequently overlapping sources must be used in the compilation (and updating) of population databases on diabetes. The resource consequences of this must be identified from the outset.
Another, later study came to the opposite conclusion from Burnett et al. Howitt and Cheales,(39) based in south-east England, felt that ascertainment through general practices alone was adequate. They based this on their findings that most (41 of 43) practices approached contributed to their register and that the estimates of prevalence obtained were close to those expected from epidemiological studies carried out in other places. This is relatively weak evidence because they had no independent validation of completeness of ascertainment in their locality.
Patchet and Roberts (156) sounded a cautionary note about over-ascertainment (or over-diagnosis) of people included on practice-based registers. Of 112 patients listed by their practice as having diabetes, 26 had had normal HbA1c concentrations in the preceding 6 months. Their conclusion was that nine of these people had been investigated by OGTT but had been found not to have diabetes. Such inflation of databases does, no doubt, occur but the net effect of over- and under-ascertainment is most likely to give an under-estimation of the numbers of people with diabetes, especially those treated with dietary therapy alone.
Recent years have seen the standardisation, both in the UK and elsewhere, of data items for inclusion on practice- and population-based diabetes datasets. The Diabetes Audit Working Group of the Research Unit of the Royal College of Physicians and the BDA,(157) for example, has listed and defined 101 data items which it considers should be included in a diabetes dataset. This suggestion may be regarded as unnecessarily complex, especially in the context of primary care. It is more sensible, however, to advocate the use of subsets of such databases, applying the standard definitions of the items selected, rather than compiling, de novo, local databases that lack comparability with others elsewhere.
There is little published evidence on the effectiveness or cost-effectiveness of registers or population databases. Jones and Hedley,(158) in 1984, estimated that their diabetes register, when considering only the advantages it provided for retinal screening, had a benefit-to-cost ratio of 15:1. The costs of establishing such a resource are greater than the costs of maintaining it so, once established, the cost-effectiveness of such databases should increase as benefits accrue.
More recently, Elwyn et al.(159) questioned the usefulness of population databases suggesting that they may be 'more trouble than they're worth'. However, they do admit to the potential of these databases to improve the quality of individual care by prompting call and recall for regular review. Also, they acknowledge that they can facilitate local needs assessment and the monitoring the quality of care from aggregated district or regional data. Despite the fact that diabetes databases have been in use in the UK for almost three decades, they consider that, in relation to their cost effectiveness, it may be 'too early to tell and perhaps too late to ask'. Further information about the benefits of using population databases will emerge when localities such as Salford publish longitudinal data of process and outcome. Thus far, such data are only available in abstract form.(160)
Elwyn et al.(159) also highlight important ethical issues surrounding the compilation of these databases. They are probably correct in believing that, in most places where such databases exist, individuals with diabetes are largely ignorant of the fact that their demographic and clinical details are held in this form, in addition to the clinical record. These authors cite several items of guidance [including an NHS Executive Letter (EL (96) 72)] (161) which emphasise that patients should 'opt-in' rather than 'opt-out' to such databases. The EL itself states that 'patients should be made aware of the existence and the purpose of a register'.(161) In practice, it is likely that the majority of people with diabetes, given reasonable safeguards in relation to confidentiality, would not object to their personal data being held in this way. However, although some information exists on this question in relation to population databases for cervical screening, no information exists for diabetes databases.(162)
Future developments in this area will need to take account of the current NHS Information Strategy (163) and the move, as part of that strategy, towards electronic patient records. In addition, software systems, such as MIQUEST, are used for example in the extraction of data used in the DiabCare project.(164)
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Healthcare Resource Groups (HRGs) are one way of developing a system based on casemix. 'Casemix is a system which classifies types of patients treated, and costs each category to enable consistent pricing for each patient'.(165) HRGs are 'groupings of acute inpatient care episodes which are likely to consume the same amount of resource' (166) and are based on the patient record and inpatient events.(167) They are adapted from diagnosis-related groups (DRGs) which were developed in the US in the early 1980s.
HRGs have been used for contracting and are being used in commissioning, internal resource management (e.g. within a trust) and 'benchmarking'. The NHS Information Authority co-ordinates progress in the development of HRGs. Costing of surgical hospital episodes by HRGs is well developed with the extension of the use of HRGs in the acute medical specialties to be complete by 2000.(168,169)
The allocation of a particular episode of care to a group is dependent on a number of characteristics of the episode, including:
Although admissions and episodes for medical reasons, e.g. diabetes, are more difficult to classify into HRGs than surgical procedures, the NHS Information Authority has developed HRGs for diabetes. Costs of diabetes HRGs are being developed and preliminary figures are included in Appendix VIII.
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Health service planners and commissioners, whether based in HAs, PCGs or PCTs, should ensure that the full spectrum of health care for people with chronic diseases meets local needs and is of a high quality. Healthcare frameworks have been developed to assist in assessing needs, commissioning services and improving quality of care. These are, in essence, highly developed 'checklists' to ensure that the task of planning and commissioning care is approached in a logical manner and does not neglect any important area.
The 'Health Benefit Group Development Project' by the NHS Information Authority has led to the development of healthcare frameworks for different diseases and conditions, matching HRGs with 'Health Benefit Groups'(HBGs) and associated performance indicators.(170-172) These healthcare frameworks are intended to be used in drawing up local HImPs and service agreements. A diabetes healthcare framework is being developed with emphasis on assessing need and its resource implications. A draft version of this framework is shown in Appendix IX. This healthcare framework is not suitable for use as a decision-making tool for individual patient care.
A condition-specific healthcare matrix which can be applied to different healthcare programmes, including care for people with diabetes has been developed and is included in Appendix X.(173-176) This can be used as a tool for commissioning and planning services.
Although not necessarily a commissioning matrix, the National Service Framework (NSF) for diabetes will be available, in 2001, to guide the development of local services. It is one of the challenges to those responsible for services not to delay essential improvements until that NSF is available. There is considerable evidence surrounding 'best practice' in diabetes care and there are a number of improvements that can and should be made in many localities to put this evidence into practice.
NB: HBGs and HRGs are being developed by Clinical Working Groups to NHS Information Authority (Casemix Programme) specification. The Clinical Working Group for diabetes is chaired by Dr N.Vaughan.
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Monitoring diabetes care using measures of process and outcome occurs at two levels:(177)
A recently published Department of Health (DoH) working group report (178) lists 32 'candidate indicators' ranging from the prevalence of clinically diagnosed diabetes to summary measures of satisfaction with diabetes services. Among the working group's recommendations are that six of these candidate indicators should be used on a routine basis. These are listed below.
In its recommendations for the audit of diabetes services, the Diabetes Audit Working Group of the Research Unit of the Royal College of Physicians and the BDA (157) suggested a number of process measures of which the following are likely to be the most useful for evaluating diabetes services:
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The outcomes of diabetes care to be measured at PCG, PCT or district level can be formulated from the aims and objectives agreed as part of the local HImP. Healthcare commissioners, clinicians and patients have different perspectives on the desired outcomes for a diabetes service (Box 8).(177) Chosen outcomes must achieve a balance of the different perspectives.
| Box 8: Different perspectives on outcomes of diabetes care |
| Healthcare commissioners
Clinicians
Patients
|
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Population health outcome indicators have been available for districts since 1993 and are shown in Table 6.(179) These have been developed further and a wide range of outcome measures for implementation is included in Appendix XI.
Table 6: Population health outcome indicators for diabetes
|
Outcome |
Indicator |
| Ketoacidosis and coma | Age-standardised rates for hospital episodes and coma among residents of area per 1,000,000 residents by sex |
| Lower limb amputation | Age-standardised rates for operations for lower limb amputations among patients with diabetes resident in the area per 1,000,000 residents by sex |
|
Standardised Mortality Ratio(SMR) |
SMR for diabetes mellitus for ages 1–44 years by sex |
General, and diabetes-specific, patient-centred outcomes have been developed in recent years.(177,180) These measure the knowledge, attitudes and beliefs of patients and the psychosocial impact of living with diabetes, for example, the quality of life measure used in the DCCT.(181) Choice of measure depends on the research question, instrument validity and practicality, e.g. length of the questionnaire.
The collection and assessment of outcomes are limited by the difficulties of dealing with data derived from routine information systems.(86,177,182,183) Although many data items are collected as part of the clinical review of patients, they are not always available in a standardised form which is easily collated for analysis.
Recent initiatives aim to improve the quality of diabetes care by standardising the collection and aggregation of outcome information:(177)
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The six indicators recommended for use on a routine basis are:
It can be seen that knowledge of the population denominator of people with diabetes is crucial for the calculation of these indicators. This knowledge is available locally in the few districts with comprehensive diabetes population databases. For the remainder, extrapolation from published prevalence estimates must be made.
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Some likely future developments in diabetes were mentioned at the beginning of this chapter. The following list of information and research requirements re-emphasises some of these and includes some other issues.
In addition, a number of other less wide-ranging, but nonetheless important, questions needs to be tackled including:
Despite the fact that insulin has been available for more than 75 years and oral hypoglycaemic agents for almost as long, diabetes is still responsible for considerable morbidity and premature mortality in the UK. Most of these effects are the results of the complications of diabetes, many of which are potentially preventable. The delivery of continuous, effective, comprehensive care to people with diabetes is an important component in realising this potential for prevention.
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ACE angiotensin converting enzyme
ADA American Diabetes Association
BDA British Diabetic Association
CVD cerebrovascular disease
DCCT Diabetes Control and Complications Trial
DoH Department of Health
FPG fasting plasma glucose
GDM gestational diabetes mellitus
HDL high-density lipoprotein (cholesterol)
HImP Health Improvement Programmes
HBG Health Benefit Group
HImP Health Improvement Programme
HRG Healthcare Resource Group
ICD International Classification of Diseases
IDDM insulin-dependent diabetes mellitus
IDF International Diabetes Federation
IFG impaired fasting glucose
IGT impaired glucose tolerance
IIT intensive insulin therapy
LDSAG Local Diabetes Services Advisory Group
NHS National Health Service
NIDDM noninsulin dependent diabetes mellitus
NSC National Screening Committee
NSF National Service Framework
OGTT oral glucose tolerance test
PCG primary care group
PCT primary care trust
PG plasma glucose
PPA Prescription Pricing Authority
PVD peripheral vascular disease
UKPDS United Kingdom Prospective Diabetes Study
WHO World Health Organisation
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Some of the following feature as specific text references.
Alberti KGMM, Gries FA, Jervell J, Krans HMJ for the European NIDDM Policy Group. A desktop guide for the management of non-insulin-dependent diabetes. Diabetic Medicine 1994; 11: 899-909.
American Diabetes Association. Clinical practice recommendations 1998. Diabetes Care 1998; 21 (Suppl. 2): 1-81.
British Diabetic Association. Care of diabetics with renal failure. London: British Diabetic Association, 1988.
British Diabetic Association. Diabetes and chiropodial care. London: British Diabetic Association, 1990.
British Diabetic Association. Saint Vincent and improving diabetes care. Specialist UK workgroup reports. Diabetic Medicine. 1996; 13 (Suppl. 4).
British Diabetic Association. The principles of good practice for the care of young people with diabetes. London: British Diabetic Association, 1996.
British Diabetic Association. Training and professional development in diabetes care. London: British Diabetic Association, 1996.
British Diabetic Association. Recommendations for the management of diabetes in primary care. London: British Diabetic Association, 1997.
British Diabetic Association. Diabetes centres in the United Kingdom. Results of a survey of UK diabetes centres. London: British Diabetic Association, 1998.
British Diabetic Association. Guidelines for residents with diabetes in care homes. London: British Diabetic Association, 1998.
British Diabetic Association. Health Improvement Programmes - an opportunity to improve the health of people with diabetes. London: British Diabetic Association, 1998.
British Diabetic Association. Recommendations for the structure of specialist diabetes care services. London: British Diabetic Association, 1999.
British Diabetic Association. Local diabetes services advisory groups. Update report including the results of 1996 survey of LDSAGs. London: British Diabetic Association, 1999.
British Diabetic Association. Diabetes care: what you should expect. London: British Diabetic Association, 1999.
British Diabetic Association. What care to expect when your child has diabetes. London: British Diabetic Association, 1999.
British Diabetic Association. What care to expect in hospital. London: British Diabetic Association, 1999.
British Diabetic Association. Catalogue for healthcare professionals 1999. London: British Diabetic Association, 1999.
British Diabetic Association. Catalogue: information and promotional items for people living with diabetes. London: British Diabetic Association, 1999.
Clinical Standards Advisory Group. Standards of clinical care for people with diabetes. London: HMSO, 1994.
Department of Health, British Diabetic Association. St Vincent joint task force for diabetes. The report. London: British Diabetic Association, 1995.
Guy M. Model specification for diabetes services. Cambridge: East Anglian Regional Health Authority, 1991.
Guy M. The development of a specification for diabetes services. Cambridge: Cambridge Health Authority, 1991.
International Diabetes Federation (Europe) and World Health Organisation (Europe). The European Patients' Charter. Diabetic Medicine 1991; 8: 782-3.
International Diabetes Federation. International consensus standards of practice for diabetes education. London: International Diabetes Foundation, 1997.
NHS Executive. Key features of a good diabetes service. Health Service Guidelines 1997; 45.
Nutrition Subcommittee of the British Diabetic Association's Professional Advisory Committee. Dietary recommendations for people with diabetes: an update for the 1990s. Diabetic Medicine 1992; 9: 189-202.
Royal College of Physicians (Research Unit) and British Diabetic Association Audit Working Group. Proposal for the Continuing Audit of Diabetes Services. Diabetic Medicine 1992; 9: 759-64.
Scottish Intercollegiate Guidelines Network (SIGN). The care of diabetic patients in Scotland: National Clinical Guidelines numbers 4, 9, 10, 11, 12 and 19. Edinburgh: Royal College of Physicians, 1996-97.
World Health Organisation (Europe) and International Diabetes Federation (Europe). Diabetes care and research in Europe: the Saint Vincent Declaration. Diabetic Medicine 1990; 7: 360.
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Note: data similar to those below form the basis of the computer model 'Health Care Needs Assessment - Diabetes' produced by SmithKline Beecham and Abacus International, as a planning tool for HAs, PCGs and their equivalents elsewhere in the UK.
All enquiries about this model should be directed to: Dr Julia Bottomley, Head of Health Economics, SmithKline Beecham Pharmaceuticals, Mundells, Welwyn Garden City,
Hertfordshire, AL7 1EY. Tel: (020) 8913 4863; Fax: (020) 8913 4689; email: Julia.M.Bottomley@SB.com
Note: that the data in the computer model may, in some details, differ from those listed below if more recently published studies have been incorporated into the more recent versions of the model. The model also includes additional information over and above that included here.
In the following tables, age- and sex-specific prevalences and incidence rates (as appropriate) for clinically diagnosed diabetes and its complications have been taken from various studies referenced in the above text. Using local population figures, the expected numbers of cases, and the likely maximum and minimum estimates, based on 95% CI can be calculated.
| Table A1: The incidence of diabetes in childhood (24) | |
|---|---|
|
Age group (years) |
Incidence |
|
0–4 |
9.74 (7.93–11.55) |
|
5–9 |
13.60 (12.33–14.87) |
|
10–14 |
17.80 (16.94–18.66) |
|
0–14 |
13.91 (13.51–14.66) |
Incidence rates are per 100,000 persons per year (95% CL). Note: updated incidence rates from this source, with separate values for boys and girls, may be available in the near future.
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| Table A2: The frequency of diagnosis of new cases of diabetes in adults (26) | |
|---|---|
|
Age group |
Frequency of diagnosis of new cases |
|
15–24 |
2.5 |
|
25–34 |
4.5 |
|
35–44 |
8.0 |
|
45–54 |
18.0 |
|
55–64 |
35.0 |
|
65–74 |
46.0 |
|
75–84 |
37.0 |
|
85 years and over |
37.0 |
Rates are per 10,000 persons per year.
| Table A3: The prevalence of clinically diagnosed diabetes in a predominantly Caucasian population (Poole, Dorset) showing the increase in prevalence between 1983 (27) and 1996 (46) | ||||
|---|---|---|---|---|
|
Age group (years) |
Males |
Females |
||
| 1983 | 1996 | 1983 | 1996 | |
|
0–29 |
2.5 |
2.4 |
2.3 |
2.3 |
|
30–39 |
4.3 |
8.2 |
3.9 |
4.7 |
|
40–49 |
8.0 |
13.3 |
7.3 |
7.1 |
|
50–59 |
16.1 |
22.3 |
9.9 |
18.1 |
|
60–69 |
24.2 |
54.2 |
16.6 |
37.1 |
|
70–79 |
41.0 |
66.6 |
31.2 |
35.3 |
|
80 and over |
48.5 |
79.6 |
24.8 |
52.3 |
|
All ages |
11.0 |
21.3 |
9.3 |
16.0 |
Prevalences are per 1000 persons. Age/sex adjusted prevalences (with 95% CL). Crude prevalences have been adjusted to 1991 age and sex distribution of the UK:
All males: 10.4 x 103 (9.5-11.4) (1983); 17.4 x 103 (16.3-18.6) (1996)
All females: 8.9 x 103 (8.1-9.7) (1983); 13.7 x 103 (12.7-14.7) (1996)
Both sexes: 9.7 x 103 (9.0-10.3) (1983); 15.5 x 103 (14.8-16.3) (1996).
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| Table A4: The ‘incidence’ (I) and prevalence (P) of clinically diagnosed diabetes as assessed from the General Practice Morbidity Survey (49) together with consultation rates (C) for diabetes (49) | ||||||
|---|---|---|---|---|---|---|
|
Age group (years) |
Males |
Females |
||||
| I | P | C | I | P | C | |
|
0–4 |
- |
0.1 |
0.1 |
0.1 |
0.1 |
0.3 |
|
5–15 |
0.2 |
0.8 |
1.2 |
0.3 |
0.7 |
1.0 |
|
16–24 |
0.7 |
2.4 |
5.5 |
0.4 |
1.5 |
3.5 |
|
25–44 |
1.5 |
4.9 |
11.3 |
0.8 |
3.4 |
8.6 |
|
45–64 |
5.8 |
21.7 |
54.4 |
4.3 |
15.4 |
39.4 |
|
65–74 |
10.9 |
42.8 |
105.3 |
9.5 |
33.7 |
85.8 |
|
75–84 |
12.0 |
47.5 |
116.4 |
10.3 |
37.4 |
93.2 |
|
85 and over |
6.5 |
32.7 |
77.8 |
7.1 |
23.8 |
49.6 |
All ages prevalence = 11.9 x 103 (males) and 10.2 x 103 (females). 'Incidence' rates are per 1000 persons per year. Prevalences are per 1000 persons. (Note: the source document gives prevalence 'per 10,000 person years at risk' which is incorrect.) Consultation rates are per 1000 persons per year.
| Table A5: The prevalence, in adults, of self-reported, clinically diagnosed diabetes and previously undiagnosed diabetes assessed by glycosylated haemoglobin concentration > 5.2% (45) | ||
|---|---|---|
|
Diagnosed diabetes |
Previously undiagnosed diabetes |
|
|
Men |
29.8 |
10.0 |
|
Women |
17.6 |
10.0 |
|
Both sexes |
23.6 |
10.0 |
Prevalences are per 1000 persons.
| Table A6: The prevalence of clinically diagnosed diabetes in adults of South Asian origin (36) | ||||
|---|---|---|---|---|
|
Age group |
Men |
|
Women |
|
|
20–29 |
2.0 |
8.0 |
– |
6.0 |
|
30–39 |
12.5 |
24.1 |
23.7 |
11.3 |
|
40–49 |
56.3 |
45.7 |
24.5 |
47.5 |
|
50–59 |
110.3 |
62.5 |
120.3 |
60.0 |
|
60–69 |
140.0 |
81.2 |
193.7 |
98.7 |
|
70 and over |
170.5 |
145.0 |
125.8 |
102.5 |
Prevalences are per 1000 persons. Overall, age-adjusted prevalences are 124.0 x 103 (men) and 112.0 x 103 (women).
| Table A7: The prevalence of clinically diagnosed and previously undiagnosed diabetes in adults (people aged 40 and over) of Afro-Caribbean origin (48) | ||
|---|---|---|
|
Men |
Women |
Both sexes |
|
167.0 |
177.0 |
172.0 |
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Prevalences are per 1000 persons. Note: the 'both sexes' prevalence has been calculated on the assumption that the male/female ratio in this age group in the Afro-Caribbean population is 1:1. Comment: peer reviewed, published age- and sex-specific data for clinically diagnosed and previously undiagnosed diabetes (separately) in people of Afro-Caribbean origin are badly needed.
| Table A8: The prevalence of diabetic retinopathy, maculopathy and levels of Snellen visual acuity (187) | |
|
Age group |
Prevalence (95% CL) |
|
People with diabetes aged 28–91 years (mean age 67.7 ± 11.9 years) Mean duration of diabetes 7.2 ± 5.8 years |
Retinopathy
|
|
Maculopathy
|
|
|
Snellen visual acuity
|
|
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Prevalences are per 100 persons with clinically diagnosed diabetes. Note: (1) BGR is background retinopathy (Wisconsin grades 1.5-5); PLR is proliferative retinopathy (Wisconsin grades 6-8). (2) 'Some' maculopathy is Early Treatment of Diabetic Retinopathy Study (ETDRS) clinically significant maculopathy. (3) Retinopathy and maculopathy data above are based on combined photographic, clinical and hospital record observations (n = 145 for retinopathy; n = 144 for maculopathy). (4) Snellen visual acuity data are for people with diabetes not treated with insulin (n = 144).
| Table A9: The prevalence of diabetic neuropathy (188) | |
|---|---|
|
Age group (years) |
Prevalence (95% CL) |
|
20–29 |
5.0 (2.5–6.0) |
|
30–39 |
9.5 (6.0–12.5) |
|
40–49 |
16.0 (13.0–18.0) |
|
50–59 |
25.5 (23.5–28.0) |
|
60–69 |
36.0 (34.0–38.0) |
|
70–79 |
43.0 (39.5–46.0) |
|
80–89 |
60.5 (54.0–67.0) |
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Prevalences are per 100 persons with clinically diagnosed diabetes.
| Table A10: The prevalence of microalbuminuria, incidence of proteinuria and prevalence of proteinuria in people with diabetes. This table is adapted from Chattington. (189) The original data are from Hasslacher (190) and Borch-Johnsen. (191) | ||
|---|---|---|
|
Complication |
Type 1 diabetes |
Type 2 diabetes |
|
Prevalence of microalbuminuria |
10–25 |
15.0–25.0 |
|
Incidence of proteinuria |
0.5–3.0 |
1.0–2.0 |
|
Prevalence of proteinuria |
15.0–20.0 |
10.0–25.0 |
Prevalences are per 100 persons with clinically diagnosed diabetes. Incidence rates are per 100 persons with clinically diagnosed diabetes per year.
| Table A11: The prevalence of hypertension in adults with diabetes (192) | |
|---|---|
|
Age group (years) |
Prevalence (95% CI) |
|
Men |
|
|
25–34 |
13.5 (7.4–22.0) |
|
35–44 |
28.0 (22.9–33.1) |
|
45–54 |
33.8 (30.7–36.9) |
|
55–64 |
40.2 (37.0–43.4) |
|
25–64 |
34.7* (32.7–36.7) |
|
Women |
|
|
25–34 |
16.6 (8.3–28.5) |
|
35–44 |
36.5 (29.7–43.3) |
|
45–54 |
43.9 (39.6–48.1) |
|
55–64 |
53.4 (49.8–57.0) |
|
25–64 |
46.5** (43.9–49.0) |
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Prevalences are per 100 persons with clinically diagnosed diabetes. *20.7% were on antihypertensive therapy, 14.0% had blood pressure > 160/90 and were untreated. **22.2% were on antihypertensive therapy, 24.3% had blood pressure > 160/90 and were untreated.
| Table A12: The prevalence of peripheral vascular disease in adults with diabetes (193) | |
|---|---|
|
Age (years) [diagnostic group] |
Prevalence (95% CI) |
|
Men [type 1 diabetes] |
|
|
0–29 |
– |
|
30–39 |
11.0 |
|
40–49 |
– |
|
50–59 |
11.0 |
|
60–69 |
14.0 |
|
70–79 |
65.0 |
|
80 and over |
– |
|
All ages |
12.0 (6.0–19.0) |
|
Women [type 1 diabetes] |
|
|
0–29 |
– |
|
30–39 |
– |
|
40–49 |
– |
|
50–59 |
18.0 |
|
60–69 |
7.0 |
|
70–79 |
25.0 |
|
80 and over |
24.0 |
|
All ages |
5.0 (2.0–12.0) |
|
Men [type 2 diabetes] |
|
|
0–29 |
– |
|
30–39 |
– |
|
40–49 |
6.0 |
|
50–59 |
3.0 |
|
60–69 |
9.0 |
|
70–79 |
32.0 |
|
80 and over |
46.0 |
|
All ages |
22.0 (18.0–27.0) |
|
Women [type 2 diabetes] |
|
|
0–29 |
– |
|
30–39 |
– |
|
40–49 |
– |
|
50–59 |
4.0 |
|
60–69 |
19.0 |
|
70–79 |
28.0 |
|
80 and over |
45.0 |
|
All ages |
25.0 (20.0–30.0) |
Prevalences are per 100 persons with clinically diagnosed diabetes. Note: (1) Peripheral vascular disease was identified by a combination of palpation of pulses, blood pressure and Doppler measurements (for exact definitions see original paper); (2) prevalences were based on 213 subjects with type 1 diabetes and 864 with type 2.
| Table A13: The incidence of heart disease in adults with diabetes (194) | |
|---|---|
|
Age group (years) |
|
|
35–64 |
|
|
Myocardial infarct |
1.8 |
|
ECG abnormality |
2.2 |
|
All IHD |
4.1 |
Rates are per 1000 per year.
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Representatives of government health departments and patients' organisations from all European countries met with diabetes experts under the aegis of the Regional Offices of the WHO and the IDF in St Vincent, Italy, on 10-12 October 1989. They agreed unanimously upon the following recommendations and urged that they should be presented in all countries throughout Europe for implementation.
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When you have been diagnosed, you should have:
PLUS
If you are treated by insulin:
If you are treated by tablets:
If you are treated by diet alone:
Once your diabetes is reasonably controlled, you should:
At this review:
Your role:
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Diabetes centres ideally should (and some do) provide the hub of the local diabetes services, and a place where patients and their carers, and staff from the hospital and community can meet. They offer clinical advice and education on diabetes to all on a single site where most of the professional and social services required are accessible. In many cases their operational philosophy and organisation take account of the special bridging role between specialist and primary care diabetes services.
Diabetes centres should offer some or all of the following facilities:
Source: British Diabetic Association81
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A: The procedure/service has a strong beneficial effect.
B: The procedure/service has a moderate beneficial effect.
C: The procedure/service has a measurable beneficial effect.
D: The procedure/service has no measurable beneficial effect.
E: The harm of the procedure/service outweighs its benefits.
I-1: Evidence from several consistent, or one large, randomised controlled
trial.
I-2: Evidence obtained from at least one properly designed randomised controlled
trial.
II-1: Evidence obtained from well-designed controlled trials without
randomisation, or from well-designed cohort or case-control analytic studies.
II-2: Evidence obtained from multiple time series with or without the
intervention. Also, dramatic results in uncontrolled experiments.
III: Opinions of respected authorities, based on clinical experience,
descriptive studies, or reports of expert committees.
IV: Evidence inadequate and conflicting.
Top of Page |
|
|
HRG Code |
HRG Label |
No. of FCEs |
Mean average
|
Range for 50% of NHS trusts |
Range for all NHS trusts |
||
|
|
|
|
|
|
Minimum (£) |
Maximum (£) |
Minimum
|
Maximum
|
|
ELIP |
K11 |
Diabetes with hypoglycaemic emergency > 69 or with complications and co-morbidities |
35 |
1093 |
524 |
1395 |
1115 |
3300 |
|
ELIP |
K12 |
Diabetes with hypoglycaemic emergency < 70 without complications and co-morbidities |
182 |
618 |
328 |
779 |
43 |
1884 |
|
ELIP |
K13 |
Diabetes with hyperglycaemic emergency > 69 or with complications and co-morbidities |
15 |
1458 |
637 |
1988 |
117 |
3242 |
|
ELIP |
K14 |
Diabetes with hyperglycaemic emergency < 70 without complications and co-morbidities |
19 |
724 |
367 |
943 |
251 |
1609 |
|
ELIP |
K15 |
Diabetes and other hyperglycaemic disorders > 69 or with complications and co-morbidities |
438 |
1154 |
569 |
1518 |
143 |
6599 |
|
ELIP |
K16 |
Diabetes and other hyperglycaemic disorders < 70 without complications and co-morbidities |
407 |
768 |
490 |
1058 |
124 |
8167 |
|
ELIP |
K17 |
Diabetes with lower limb complications |
459 |
1743 |
806 |
2285 |
99 |
8140 |
|
ELIP |
Q16 |
Foot procedures for diabetes or arterial disease, and procedures to amputate stumps |
1011 |
1453 |
777 |
1714 |
112 |
8002 |
|
NELIP |
K11 |
Diabetes with hypoglycaemic emergency > 69 or with complications and co-morbidities |
2120 |
872 |
561 |
1220 |
25 |
8952 |
|
NELIP |
K12 |
Diabetes with hypoglycaemic emergency < 70 without complications and co-morbidities |
1900 |
557 |
330 |
790 |
84 |
2785 |
|
NELIP |
K13 |
Diabetes with hyperglycaemic emergency > 69 or with complications and co-morbidities |
2760 |
1002 |
700 |
1454 |
50 |
4885 |
|
NELIP |
K14 |
Diabetes with hyperglycaemic emergency < 70 without complications and co-morbidities |
5304 |
638 |
453 |
884 |
55 |
2239 |
|
NELIP |
K15 |
Diabetes and other hyperglycaemic disorders > 69 or with complications and co-morbidities |
6319 |
1185 |
830 |
1638 |
129 |
9221 |
|
NELIP |
K16 |
Diabetes and other hyperglycaemic disorders < 70 without complications and co-morbidities |
5664 |
662 |
479 |
1000 |
92 |
12,096 |
|
NELIP |
K17 |
Diabetes with lower limb complications |
4422 |
1553 |
912 |
2024 |
113 |
9542 |
|
NELIP |
Q16 |
Foot procedures for diabetes or arterial disease, and procedures to amputate stumps |
1279 |
2079 |
943 |
2813 |
124 |
10,337 |
|
DC |
K12 |
Diabetes with hypoglycaemic emergency < 70 without complications and co-morbidities |
75 |
310 |
165 |
354 |
37 |
1162 |
|
DC |
K14 |
Diabetes with hyperglycaemic emergency < 70 without complications and co-morbidities |
17 |
231 |
183 |
273 |
151 |
416 |
|
DC |
K15 |
Diabetes and other hyperglycaemic disorders > 69 or with complications and co-morbidities |
715 |
197 |
145 |
329 |
26 |
1478 |
|
DC |
K16 |
Diabetes and other hyperglycaemic disorders < 70 without complications and co-morbidities |
2938 |
249 |
156 |
323 |
33 |
1480 |
|
DC |
K17 |
Diabetes with lower limb complications |
62 |
268 |
183 |
428 |
109 |
1162 |
|
DC |
Q16 |
Foot procedures for diabetes or arterial disease, and procedures to amputate stumps |
305 |
312 |
265 |
490 |
103 |
918 |
| ELIP, elective inpatients; NELIP, non-elective inpatients; DC. daycase. | ||||||||
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|
HBGs |
HRGs Prevention and health promotion |
Investigation and diagnosis |
Clinical management |
Continuing care |
|
At risk Whole population At specific risk: Type 1 diabetes Type 2 diabetes Secondary diabetes |
Health promotion: Health education Primary prevention Surveillance Screening Clinical management of at risk groups |
|||
|
Presentation Hyperglycaemia Hyperglycaemic emergencies |
Clinical assessment Diagnostic investigations: Pathology Imaging Specialised tests and procedures |
|||
|
Confirmed disease Diabetes without complications Diabetes with complications |
Acute inpatient admission Medical management Surgical management NursingVoluntary sector |
|||
|
Continued consequences of disease |
To be decided |
|||
| Source: NHS Information Authority (Version control no. B13 CW 31.01.00). *Crown Copyright 1999 The material herin remains the property of the Crown. It is made available in this publication via delegated authority of the NHS Information Authority and may not be reproduced, adapted, or used for any other purpose without the permission of the Secretary of State for Health.
|
||||
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|
Service level |
Needs |
Effective action |
Location |
Input |
Activity targets |
Output |
Service outcome |
Health objective |
|
Primary prevention |
Fill in this box first |
Reduced incidence and prevalence of the condition |
||||||
|
Screening and early treatment |
Reduced incidence and prevalence of illness |
|||||||
|
Acute care |
Reduced premature mortality |
|||||||
|
Rehabilitation and continuing care |
Fill in this box last |
Reduced mortality, incidence and prevalence of disability and handicap |
O'Brien and Singleton.(176)
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A: To be implemented generally on a routine basis.
B: To be implemented generally by periodic survey.
C: To be implemented where local circumstances allow on a routine basis.
D: To be implemented where local circumstances allow by periodic study.
E: To be implemented following IT developments on a routine basis.
F: To be further developed either because the link with effectiveness is not
clear or the indicator specification is incomplete.
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1. Prevalence of clinically diagnosed diabetes (Category A).
2. Percentage prevalence of retinopathy and maculopathy at the time of diagnosis
of diabetes (Category E).
3A. Prevalence of obesity in persons aged 16-64 (defined as BMI = 30.0 kg/m2)
(Category B).
3B. Proportion of people undertaking rigorous physical activity in the previous
28 days (Category F).
3C. Proportion of people who, on average consume fruit or vegetables or salad
each day, within the general population (Catergoy F).
4. Percentage of patients, aged 16 and over and known to have diabetes, who
smoke (Category C).
5. Percentage of patients, aged 16-64 and known to have diabetes, who have a BMI
>30 kg/m2 (Category C).
6. Percentage of patients known to have diabetes with elevated blood pressure:
type 1 > 140/90 mmHg, type 2 >
160/90 mmHg (Category C).
7. Percentage of patients known to have diabetes with HbA1c that was > 7.5%
on a DCCT standardised assay, at time of
last recording within the previous year
(Category C).
8. Percentage prevalence of retinopathy and maculopathy within a population
known to have diabetes (Category C).
9. Percentage prevalence of microalbuminuria within a population known to have
type 1 diabetes (Category C).
10. Percentage prevalence of protective sensation loss within a population known
to have diabetes (Category C).
11. Percentage prevalence of absence of both pulses in at least one foot within
a population known to have diabetes
(Category C).
12. Percentage of patients known to have diabetes where there is no record of
blood pressure. The retina or the feet have
been assessed within the previous
year (Category C).
13. Percentage prevalence of symptomatic angina within a population known to
have diabetes.
14. Percentage prevalence of claudication within a population known to have
diabetes.
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15. Number of patients who have had at least one hypoglycaemic emergency, within
the last year, that required therapeutic
intervention by a health professional,
expressed as a proportion of a population of patients known to have diabetes
(Category A).
16. Number of patients who have had at least one hyperglycaemic emergency,
within the last year, that required hospital
admission expressed as a proportion
of a population of patients known to have diabetes (Category A).
17. Case fatality rate associated with acute diabetic episodes treated in
hospital (Category C).
18A.SMR for death due to diabetes mellitus (Category C).
18B.Years of life lost per 10,000 resident population by death due to diabetes
mellitus (Category C).
18C.Years of life lost by death due to diabetes mellitus (Category C).
19. Annual incidence of severe visual impairment (visual acuity < 6/60 in the
better eye) within a population of patients
known to have diabetes (Category C).
20. Annual incidence of amputation above the ankle within a population of
patients known to have diabetes (Category C).
21. Annual incidence of amputation below the ankle within a population of
patients known to have diabetes (Category C).
22. Annual incidence of myocardial infarction within a population of patients
known to have diabetes (Category C).
23. Annual incidence of stroke within a population of patients known to have
diabetes (Category D).
24. Number of patients who have started renal replacement therapy or have had a
creatinine level > 500 mmol/l recorded
for the first time within the last
year, expressed as a proportion of a population of patients known to have
diabetes
(Category C).
25. Rates of late stillbirth and perinatal mortality in deliveries from a
population of patients known to have diabetes and who
become pregnant (Category
C).
26. The rate of delivery by Caesarean section, in deliveries from a population
of patients known to have diabetes and who
become pregnant (Category C).
27. The incidence of delivered babies with birth weight greater than the 90th
centile (allowing for gestational age) from within
a population of patients
known to have diabetes and who become pregnant (Category C).
28. The incidence of occurrence of specific congenital malformations (i.e.
neural tube defects, cardiac and renal
malformations) in deliveries from a
population of patients known to have diabetes and who become pregnant (Category
C).
29. The rate of admission to special care baby units (and nurseries) of babies
delivered from a population of patients known
to have diabetes and who become
pregnant (Category F).
30. Summary of a measure of psychological well-being within a population of
patients known to have diabetes and who
become pregnant (Category F).
31. Summary of a measure of health status/health-related quality of life within
a population of patients known to have
diabetes (Category F).
32. Summary of a measure of satisfaction with service within a population of
patients known to have diabetes.
Source: Working Group on Outcome Indicators for Diabetes, Report to the Department of Health, 1997.(178)
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WHO Consultation Group. The definition, diagnosis and classification of diabetes mellitus and its complications - Part 1: the definition, diagnosis and classification of diabetes. Diabetic Med 1998; 15: 539-53.
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care 1997; 20: 1183-97.
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