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Diabetes is one of the most
significant non-communicable diseases globally, and is also a leading cause of mortality.
In the United States for example, where there are an estimated 26 million diabetics,
diabetes was a contributory factor to around 230 000 deaths in 2007. In Europe, an
estimated 55 million people live with diabetes. Across the world, the population of
diabetics is expected to rise from 285 million in 2010 to 438 million by 2030 (IDF, 2009)
(see also Indicator 1.10, "Diabetes prevalence and
incidence" ).
Diabetes is implicated in
cardiovascular disease, hypertension, kidney disease and lower limb amputation. It is also
the leading cause of blindness in industrialised countries and the most common cause of
end-stage renal disease in the United States, Europe, and Japan. Furthermore, studies have
shown that people who have diabetes are more likely to have depression and find it more
difficult to follow treatment guidelines (Mezuk et al.,
2008; Egede, 2004).
Major risk factors for diabetes
include being overweight or obese, physically inactive, having familial history of
diabetes, having high blood pressure and having a history of cardiovascular disease. The
multi-centre Diabetes Prevention Program (DPP, 2002) showed that modest weight loss and
dietary changes can delay or even prevent the onset of diabetes. Researchers in the DPP
trial also found that intensive counselling on effective diet, exercise, and behaviour
modification reduced the risk of developing diabetes by almost 60%. This finding applied
to all ethnic groups, and for both males and females. These lifestyle changes had their
greatest impact on older age groups where the interventions led to a 70% reduction in
risk. These findings underline the importance of having diabetes prevention and management
programmes embedded in primary care settings.
Figure 5.2.1 shows that there are large variations in admission rates for
uncontrolled diabetes across OECD countries. Austria, Hungary, Korea and Mexico have rates
that are more than double the OECD average. Spain, Israel, Australia and New Zealand have
very low admissions rates for uncontrolled diabetes. Despite having high disease
prevalence, Canada has moderately low admission rates. This may be indicative of the
impact of Canada's Integrated Strategy on Health Living and Chronic Disease and the
Canadian Diabetes Strategy (PHAC, 2005). Male admission rates for uncontrolled diabetes
are around 20% higher than females, though several countries, notably Finland, Sweden and
Denmark, have considerably higher male admission rates compared to females.
Austria has taken steps to improve
diabetes care via its disease management programme (DMP) which was implemented in 2007.
Findings from a recent study showed that the Austrian diabetes DMP improved process
quality and enhanced weight loss, but did not significantly improve diabetes control
(Sönnichsen et al., 2010). The same research also noted
that quality depends more on the care offered by a specific family physician than on the
widespread implementation of a programme.
In Korea, the high rate of admissions
can only be partly explained by higher diabetes prevalence related to changing lifestyle
brought about by recent economic development (Cho, 2010). It is also linked to a less
developed primary care infrastructure (Chun et al.,
2009).
Figure 5.2.2 shows that uncontrolled diabetes admission rates do not appear
to be strongly correlated with diabetes prevalence, with some countries such as Canada,
Portugal and the United States having high prevalence rates but low admission rates.
Conversely, Finland, Sweden and Denmark have lower prevalence rates but higher admission
rates. The absence of any meaningful correlation suggests that factors other than disease
"volume" are at play when explaining hospital
admissions.
Definition and comparability
The indicator for uncontrolled
diabetes is defined as the number of hospital discharges of people aged 15 years and
over with diabetes Type I or II without mention of a short-term or long-term
complication per 100 000 population. The rates have been adjusted to take account of
the age and sex composition of each country's population structure. Differences in
coding practices between countries may affect the comparability of data. Variations in
disease classification systems, for example between ICD9-CM and ICD10-AM, may also
affect comparability.
Information on data for Israel:
http://dx.doi.org/10.1787/888932315602.
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| Indicator in PDF |
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| 5.2.1 Uncontrolled diabetes hospital admission rates,
population aged 15 and over, 2009 (or nearest year) |
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| 5.2.2 Uncontrolled diabetes hospital admission rates and
prevalence of diabetes, 2009 (or nearest year) |
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