MODELING OF THE NEED FOR OUTPATIENT MEDICAL CARE FOR DISEASES OF THE CIRCULATORY SYSTEM IN THE POPULATION OF OLDER MALE AGE GROUPS

Cherkasov S.N., Avsadzhanishvili V.N., Fedyaeva A.V.
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Abstract

The purpose of the study: to perform mathematical modeling of the need for outpatient medical care for diseases of the circulatory system in the population of older male age groups. Materials and methods of research. As a source of primary information, we used data on cases of medical care provided to the population of older age groups (60 years and older). The probability of treatment in each one-year age range, starting from the age of 60 years, was studied. 41 points were used to construct the dynamic curve. The calculation was made per 1000 population of the corresponding age and gender. The principle of constructing mathematical models was based on a functional approach. As a result of this approach, a system of linear and nonlinear equations was obtained, in each of which the dependence of the volume of medical care on predictor variables was expressed. In this case, age and gender were used as predictor variables. Results. Algebraic formulas were obtained for modeling the level of need for medical care provided in outpatient settings in relation to three blocks of causes (group A of causes). The impact on the level of need of other reasons can be determined using a correction factor. Such coefficients should be applied to the estimated value of the need for three blocks of reasons included in Group A of reasons.
老年男性群体循环系统疾病的门诊医疗需求建模
研究目的:对老年男性群体中循环系统疾病的门诊医疗需求进行数学建模。研究材料和方法。作为主要信息来源,我们使用了为老年群体(60 岁及以上)人口提供的医疗护理病例数据。研究了从 60 岁开始的每一年年龄段的治疗概率。41 个点用于构建动态曲线。计算方法是按相应年龄和性别的每 1000 人计算。构建数学模型的原则是基于函数方法。由于采用了这种方法,得到了一个线性和非线性方程组,其中每个方程组都表达了医疗服务量对预测变量的依赖性。在这种情况下,年龄和性别被用作预测变量。结果得出了与三组原因(A 组原因)相关的门诊医疗护理需求水平模型的代数公式。使用校正系数可以确定其他原因对需求水平的影响。这些系数应适用于 A 组原因中三个原因的需求估计值。
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