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OPTIMIZATION OF PROGRAMS FOR THE PREVENTION AND
EARLY DIAGNOSIS OF DIABETES MELLITUS IN THE FRAMEWORK
OF THE STATE HEALTH STRATEGY
Khomidov Feruz Kasimovich
Abdullayeva Dilafruz Gayratovna
Bukhara State Medical Institute
Tashkent Medical Academy, Uzbekistan
https://doi.org/10.5281/zenodo.14024539
Annotation
The paper considers the need to optimize programs for the prevention and
early diagnosis of diabetes mellitus in the framework of the state health strategy.
Diabetes mellitus, especially type 2, is one of the most common endocrine
diseases, whose epidemic in recent years has covered an increasing number of
the population. Despite the existing state programs, their adaptation and
improvement are required for effective detection and prevention of diabetes
among various population groups, especially among high-riskones. The paper
analyzes existing approaches to diabetes prevention and early detection of risk
factors, suggesting an improvement strategy based on digital tools, interagency
collaboration, and individualized programs for high-risk groups.
Keywords
: diabetes mellitus, early diagnosis, prevention, state strategy,
optimization, digital technologies, high-risk groups.
Relevance
Diabetes mellitus is one of the most significant medical and social
problems in the world. According to the World Health Organization (WHO), the
number of cases of diabetes is steadily increasing, in particular due to type 2
diabetes associated with lifestyle and genetic predisposition. This trend poses a
challenge for national health systems – not only to carry out diagnostics and
treatment, but also to develop effective prevention programs aimed at
combating this "silent epidemic".
The importance of prevention programs lies in the fact that they can
reduce the risk of developing diabetes in individuals with a predisposition, as
well as timely detection of the disease at an early stage. This, in turn, minimizes
the development of complications, which often lead to serious consequences and
significant treatment costs. However, existing state programs for the prevention
and diagnosis of diabetes mellitus require optimization and adaptation to
current conditions, including digitalization and changing approaches to
informing the population. Special attention should be paid to high-risk groups,
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including the elderly, overweight people, and those with a genetic predisposition
to diabetes.
The National Health Strategy is aimed at reducing the incidence of
diseases and improving the quality of life of citizens. The introduction of modern
prevention programs for early diagnosis of diabetes, the use of digital tools, and
increased awareness among the population can be the basis for achieving these
goals and effectively managing the prevalence of diabetes across the country.
Purpose, materials and methods
The aim of this study is to develop recommendations for optimizing
programs for the prevention and early diagnosis of diabetes mellitus, improving
their accessibility and effectiveness for various population groups within the
framework of the state health strategy.
Materials and methods.
The materials used were state health programs
for the prevention and diagnosis of diabetes, data from WHO and national
statistical centers. The methodology included analysis of statistical data,
assessment of risk factors, and a systematic review of existing diabetes
prevention and diagnosis programs. To analyze the effectiveness of the
programs, we used the method of comparative analysis and questionnaires
conducted among high-risk groups (elderly people, overweight people, people
with a genetic predisposition). Digital tools and their integration into healthcare
programs were also studied.
Results
As a result of the study, the main factors that hinder effective prevention
and early diagnosis of diabetes mellitus were identified, including a lack of
public awareness, low availability of examinations, and limited use of digital
technologies. Analysis of the survey among high-risk groups showed that 43% of
respondents are not sufficiently aware of their risk factors and the possibility of
controlling them. It was also revealed that 27% of respondents do not undergo
regular preventive examinations due to the lack of convenient access to medical
services.
Based on the results of the analysis, recommendations are made for
optimizing existing programs, including integrating digital tools (online
platforms, applications, and smart devices for monitoring glucose levels and
health), improving public awareness through government campaigns, and
regularly conducting screenings for high-risk groups.
The proposed measures are aimed at improving the effectiveness of
programs, as well as reducing barriers to access to medical care and improving
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the level of early diagnosis among the population. Optimization of preventive
programs can reduce the incidence of diabetes, which was confirmed during the
analysis of statistics.
Conclusion
Optimization of programs for the prevention and early diagnosis of
diabetes mellitus is a key area in the state health strategy. Based on the study, it
can be concluded that improving the availability of preventive measures and the
introduction of digital technologies positively affect the level of early detection
of diabetes and increase awareness among the population about risk factors.
The results of the analysis showed that improved awareness, regular
screenings, and digitalization of health services will help reduce the prevalence
of diabetes and prevent its complications among high-risk populations. The
introduction of online platforms and mobile applications for self-assessment and
health monitoring has proven to be an effective approach, as it increases the
coverage of the population and simplifies access to preventive examinations.
Thus, the integration of modern technologies and the adaptation of government
programs to the needs of different social groups are necessary steps to
successfully combat the diabetes epidemic. Further development and
optimization of programs based on the proposed recommendations can
significantly reduce the burden on the health system and improve the quality of
life of the population.
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https://doi.org/10.5281/zenodo.13947129