Program Design for Diabetes Management in Australia

Running head: PROGRAM DESIGN
PROGRAM DESIGN
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1PROGRAM DESIGN
Introduction:
Diabetes mellitus has emerged out to be the most common chronic illness issue in
Australia. Diabetes can be defined as a physiological disorder that is characterized by the
abnormal blood-glucose regulation in the body (Lee et al., 2013). Diabetes has been broadly
characterized under subtypes such as Type II Diabetes, Type I Diabetes, Prediabetes and
Gestational Diabetes (Kibbey et al., 2013). In accordance with the statistical data generated in
the year 2017, it had been revealed that approximately 1.2 million people of the entire population
were diagnosed with Diabetes. It should also be mentioned in this context that, by the end of the
year 2015, it was estimated that 1,002,000 people were already surviving with reported Diabetes
type II (Australian Institute of Health and Welfare, 2018). 13.5% of the people from the total
population were affected with Diabetes Type I (Australian Institute of Health and Welfare,
2018). The primary cause of the wide spread prevalence was identified as the sedentary lifestyle,
poor fibre intake, obesity, excessive body weight, smoking and alcohol consumption and reduced
physical fitness. The hike in the number of diagnosed individuals significantly points out the
seriousness of the prevalence rate of the disorder. At the end of every year, a notable 16.8% of
new diagnosed cases are coming up that is making the disease scenario even more critical
(Australian Institute of Health and Welfare, 2018). It should further be noted that according to
the statistical data collected the disease prevalence rate has increased considerably over the years
with an increase of 7% cases in men in the year 2015, 5% in women, 17% in old-age patients and
5% in middle aged individuals in comparison to previous years. A significant 29% of newly
diagnosed cases had been recorded in the second half of the year 2015 (Australian Institute of
Health and Welfare, 2018). This report intends to evaluate the existing policies with respect to
Diabetes management in Australia and critically analyze the scenario with the help of needs

2PROGRAM DESIGN
assessment. Further, the paper aims to cover the evaluation outcome on the basis of strong
recommendations.
Literature Review:
Australia follows a comprehensive strategy to analyze the Diabetes prevalence data. It
should be noted here that the disease prevalence data is collected at the stage of diagnosis across
all health care organization operating at the territory and state level. The collected data is
analyzed by the Australian Institute of Health and Welfare. In close association with the
evidence furnished by the statistical figures, it can be mentioned that the prevalence rate of
Diabetes has been considerably high in the members of the indigenous community (Zimmet et
al., 2016). The prevalence rate has been recorded to be higher among aboriginal community
member particularly because of reduced access to health care facilities. Particularly, studies
suggest that from the time frame of 2013-2017 a stark increase of 13% of increase in the rate of
prevalence was observed aboriginal men and women who had lack of access to education and
awareness about the disease condition (Stoneman et al., 2014). The reports revealed that 46,200
aboriginal adults had diabetes. On the contrary, it should be noted that the prevalence of TIIDM
was considerably higher among the female aboriginal members compared to men (Australian
Institute of Health and Welfare, 2018). The recorded prevalence rate has been retrieved to be
approximately 1 individual out of every 8 individuals (Australian Institute of Health and
Welfare, 2018). A total of 56% of the female aboriginals were recorded to be affected with
TIIDM compared to 44% men by the end of the year 2013 (Lee et al.,2013). The results stated
that Diabetes was more prevalent in aboriginal women compared to men (Kibbey et al., 2013).
Also, 6091 of the Type-I Diabetes cases were reported in children by the end of the year 2013
(Hollis et al., 2014). In addition to this 12.8% of individuals aged 15 years and above showed