Sanaz Amiri; Forough Saki; Mozhgan Seif; Alireza Mirahmadizadeh
Abstract
Background: Insulin-dependent diabetes mellitus (IDDM) or type 1 diabetes mellitus (T1DM) is known as a chronic autoimmune disease with an increasing prevalence and incidence. This study was conducted to determine the incidence rate and prevalence of insulin-dependent diabetes in Iran in 2016 and 2017. ...
Read More
Background: Insulin-dependent diabetes mellitus (IDDM) or type 1 diabetes mellitus (T1DM) is known as a chronic autoimmune disease with an increasing prevalence and incidence. This study was conducted to determine the incidence rate and prevalence of insulin-dependent diabetes in Iran in 2016 and 2017. Methods: In this cross-sectional study, the prevalence of IDDM in insured subjects under the age of 19 was measured through the prescribed insulin in two consecutive years. In this study, we assumed that IDDM patients are those who receive at least one prescription containing any insulin over 2 years in insurance databases. This study was carried out on 98% of patients under age 19, and the prevalence and incidence of IDDM were calculated. Finally, the result of this method was compared with Integrated Health System (IHS) databases. Results: In general, 1,135,105 insured persons under 19 years of age were enrolled in this study, and the prevalence rates of IDDM in subjects under 19 were 117.6 (111.5-124.2) and 136.8 (130.1-143.8) per 100,000 in 2016 and 2017, respectively. The incidence rate of this disease was 27.4 (24.6-30.8) per 100,000. The highest incidence and prevalence were significantly observed in the age group of 14-19 years. The prevalence of IDDM was not significantly different between boys and girls. Conclusion: The results of this study showed that the method of prescription follow up was appropriate, acceptable, convenient, and accurate. Our findings showed that the incidence and prevalence of IDDM in this method were in line with other worldwide reliable and accurate reports, even in the developed countries. The results of the present study showed that the prevalence and incidence rate of IDDM in Iran (Fars province) is at an intermediate level.
Alireza Mirahmadizadeh; Sadaf Sahraian; Hamed Delam; Mozhgan Seif
Abstract
Objective: Type 2 diabetes is the most prevalent chronic disease in the world. Timely and appropriate control can significantly reduce the burdens and costs of this disease. Although insulin injection is the most efficient method to control type 2 diabetes, patients avoid this method for unknown reasons. ...
Read More
Objective: Type 2 diabetes is the most prevalent chronic disease in the world. Timely and appropriate control can significantly reduce the burdens and costs of this disease. Although insulin injection is the most efficient method to control type 2 diabetes, patients avoid this method for unknown reasons. The main aim of the present study is to determine the factors influential in non-adherence to insulin using tools and models that have not been applied in this field so far.
Methods: The tendency to insulin injection in 457 patients with type 2 diabetes was investigated in this cross-sectional study using the classic logistic regression and new learning algorithms, including conditional tree, conditional forest, and random forest. Different fits were compared so that the best model can be determined to identify the factors in non-adherence to insulin.
Results: Although random forest had the highest accuracy among the fitted models, all the methods had a relative consensus that having life insurance, academic education, and insulin injection experience in immediate family members increase the tendency to accept insulin therapy. Our results also showed that younger patients and those who were committed to a specific diet better approved insulin therapy.
Conclusions: The reasons for non-adherence to insulin can be summarized in economic and psychological aspects. Therefore, the health system policies are recommended to address economic issues and also raise public awareness about this treatment method.
