The for ages 20 and older. All age

The prevalence of onset type-II diabetes remains the major health concern in the Eatonville
population. The rate of the disease and its diagnosis remains at approximately
24.4 percent. Overall, this level of morbidity in a population is particularly high for disease and can be technically considered an epidemic. Towns
around Eatonville have the diabetes prevalence under 9% while Central Florida
consistently maintains a 12 percent rate of the disease (Healthy Central
Florida, 2013). Therefore, the Eatonville statistics are disproportionate in
comparison to the rest of the state and national data. This report will seek to
compare the epidemiology of diabetes and determine risks factors, which will be
used to compare organizational strategies for disease prevention in order to select the most practical one for


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The prevalence of diabetes in sample groups for US
adults is consistently between 12% and 14%. Minority populations, such as
non-Hispanic blacks, non-Hispanic Asians, and Hispanic populations have the
highest rates of morbidity as well experience a significant rate of not having
an established diagnosis. Over the past two decades, a total number of cases increased for ages 20 and older. All age
groups and both sexes experienced growth of 2-4 percentage points. Diabetes
prevalence is approximately 20 percent for adults labeled as obese based on body
mass index (BMI) categories (Menke, Casagrande, Geiss,
& Cowie, 2015). Over decades, men
have experienced an increase in the prevalence
of diabetes more than women. BMI is considered to be a contributing factor to
growing morbidity in the population, responsible for more than half of
diagnoses. However, it was found that for
a substantial portion of the diagnoses, there was no underlined cause (Menke,
Rust, Fradkin, Cheng, & Cowie,

The studies used to collect epidemiological data were
similar in design and concept. Both collected information to determine the
extent of diabetes prevalence in the United States over the past several
decades in order to determine any
causation factors to the increased morbidity in the population, particularly
changes in demographics. The method and design were to use cross-sectional
surveys data from the National Health and Nutrition Examination Survey (NHANES)
over the years. The sample size was just under 24,000 patients of the non-institutionalized civilian population,
specifically for the period from 1988. Measurements were collected via self-reported diagnosis or a fasting plasma
glucose level. Some limitations of the
study include the fact that diagnostic criteria for diabetes have evolved through time; therefore it is possible that the number of
undiagnosed patients was not accurate. Furthermore, NHANES data does not allow
for an evaluation of the effect of
poverty levels or lifestyle on diabetes prevalence (Menke et al., 2015).


critical factor established by national studies
that a large portion of diagnoses has no clear
origin is
important for Eatonville. A similar trend is appearing that makes it
unclear why Eatonville has such
disproportionate rates of the disease to local and national statistics. It may
be a combination of factors affecting community health since morbidity of other
conditions such as high blood pressure is
significantly increased as well. The majority of Eatonville’s population
consists of minorities and African-Americans which have a much higher risk.
Lifestyle factors such as activity levels are almost 10 percent lower than
other nearby localities, while more people reported extreme levels of stress.
Meanwhile, socio-economic factors play a role as 17.2% of households reported
poor nutrition due to financial reasons which are
10% higher than the area average (Healthy Central Florida, 2013). These
realities are contributing factors to the prevalence of the disease and failed
attempts at interventions in Eatonville. While medical intervention is
necessary, lifestyle changes are a critical
step to diabetes prevention.

Interventions that target racial/ethnic minorities
need to be multi-factored in approach from perspectives of cultural
differences, socio-economic inequalities, and healthcare access. Initiatives
that specifically tailored to the
community showed success in reducing morbidity and the impact on the population
through improved management of the disease and treatment outcomes. The
Affordable Care Act has led to organizations taking a more population-focused
approach to any initiatives. A critical concept to be utilized is patient education and linkage to the community.
Education is integrated into both
clinical and social means to purport a healthy lifestyle. Community health
workers are advocates within the population that can help lead by example and
support. Another concept is to bridge the gap between healthcare and the
population. This offers better access to
physicians and ensures timely diagnosis and medical treatment. Furthermore, the
quality of health systems can be improved significantly by providing safety-net
clinics for minorities and offer services which educate patients on
self-management of diabetes (Peek,
Ferguson, Bergeron, Maltby, & Marshall, 2014).

The best approach for an organization in Eatonville is
to focus on bridging the gap between the population and access to healthcare,
as well as ensuring a rise in quality. Low
socioeconomic status of a significant portion of the minority
population has led to a pattern of a lack of participation in healthcare. In
turn, this leads to a low rate of
diagnosis, poor disease management, and a lack of health education. It can be done through the establishment of diabetes-specific centers similar to the one in
Eatonville. Furthermore, healthcare access can be
offered through public facilities such as schools and community centers.
If possible, subsidies should be offered
on any diabetes-related intervention.


continues to struggle with diabetes as a population health concern. The
prevalence of the disease is 24% which is considerably higher than regional or
national averages. It is critical to examine epidemiological factors to the
morbidity of the population and utilize them to design an organizational
intervention which can strategically aid in
disease prevention and management.

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