区域结核病医疗临床与组织管理算法的开发与应用经验

A. Kostin, Aleksey Yu. Abramov, A. Tsvetkov, D. Kicha, O. Rukodaynyy, R. Goloshchapov-Aksenov
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引用次数: 1

摘要

关联结核病的高发病率、流行率和死亡率决定了在算法方面改进临床和组织流程的相关性。本研究的目的是开发和评估区域一级结核病医疗保健的临床和组织管理算法的有效性。材料和方法。研究对象(2007-2021)是俄罗斯联邦斯维尔德洛夫斯克地区的结核病医疗保健系统。科学和方法基础是俄罗斯人民友谊大学卫生组织、药品供应、医疗技术和卫生部SRW专题№ 214791-3-000。该算法的开发是在科学证明的通用临床管理系统的基础上进行的。使用了斯维尔德洛夫斯克地区2007-2020年的流行病学结核病作者数据和Rosstat数据——一般和结构性发病率、流行率、死亡率,以及药房登记的3、4和6组患者的数量。通过结核病流行病学指标复合体的动力学来评估算法的效率。研究方法采用:内容分析法、分析法、统计法、比较法、专家法。使用t-White检验评估显著性。比较参数的差异被认为具有显著性(p0.05)。结果和讨论。所开发的用于管理区域结核病医疗保健的算法的有效性,包括需求分析、系统化、自动化和电信、跨学科整合、资源提供和绩效评估等组成部分,2007年至2020年期间,斯维尔德洛夫斯克地区的总发病率显著下降了2.05倍(从每10万人口119.9降至51.7),0-14岁儿童的发病率显著降低了1.48倍(从18.7降至12.6),新冠肺炎大流行(2020-2021年)没有恶化该地区结核病的流行病学状况。2020年,在2201人中检测到一种活动型结核病,比2019年减少了16%(p0.05)。2019-2020年期间,该疾病的流行病学危险细菌型流行率下降了15.4%,从每10万人口73.2降至61.9(p0.05)。基于科学证据过程算法的结核病医疗保健临床和组织管理提高了治疗和预防措施的有效性以及人口的社会和流行病学福祉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and application experience of the clinical and organizational management algorithm for tuberculosis medical care at the regional level
Relevance. The high incidence, prevalence and mortality in tuberculosis determines the relevance of improving clinical and organizational processes in terms of algorithmization. The aim of the study was to develop and evaluate the effectiveness of the clinical and organizational management algorithm for tuberculosis medical care at the regional level. Materials and Methods. The object of the study (2007-2021) were the tuberculosis medical care system of the Sverdlovsk region, Russian Federation. The scientific and methodological bases were Department of Health Organization, Drug Supply, Medical Technologies and Hygiene of the Peoples’ Friendship University of Russia topic SRW № 214791-3-000. The development of the algorithm was carried out on the basis of a scientifically proven universal clinical management system. The epidemiological tuberculosis author data and of Rosstat in the Sverdlovsk region for 2007-2020 were used - general and structural morbidity, prevalence, mortality, as well as the number of 3, 4 and 6 groups of dispensary registration of patients. The efficiency of the algorithm was evaluated by the dynamics of the complex of epidemiological indicators of tuberculosis. Research methods were applied: content analysis, analytical, statistical, comparative, expert. Significance was assessed using the t-White test. Differences in the compared parameters were considered significant at p0.05. Results and Discussion. The effectiveness of the developed algorithm for managing regional tuberculosis medical care, including the components of needs analysis, systematization, automation and telecommunications, interdisciplinary integration, resource provision and performance evaluation, was confirmed by a significant decrease in the Sverdlovsk region for the period 2007-2020 general incidence by 2.05 times (from 119.9 to 51.7 per 100 thousand of the population), the incidence of children 0-14 years old by 1.48 times (from 18.7 to 12.6 per 100 thousand children of the corresponding age), prevalence in the population by 1.8 times (from 258.6 to 143 per 100 thousand of the population) and mortality from tuberculosis by 2.675 times (from 21.4 to 8.02 per 100 thousand of the population) (p0.001). The COVID-19 pandemic (2020-2021) did not worsen the epidemiological situation for tuberculosis in the region. In 2020, an active form of tuberculosis was detected in 2201 people, which is 16 % less than in 2019 (p0.05). The prevalence of epidemiologically dangerous bacillary forms of the disease for the period 2019-2020 decreased by 15.4 %, from 73.2 to 61.9 per 100 thousand population (p0.05). Conclusion. Clinical and organizational management of tuberculosis medical care based on the algorithmization of scientifically evidence processes increases the effectiveness of therapeutic and preventive measures and the social and epidemiological well-being of the population.
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