6 research outputs found

    Health statistics indicators as a factor in accounting for occupational morbidity

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    Introduction When analyzing the risk of the impact of harmful factors on the health of employees, some researchers explain the low incidence of occupational diseases in Russia by errors in their detection during preventive examinations, lack of interest of employers and employees in the detection and registration of these diseases, and other reasons. At the same time, we did not find any works in the literature devoted to errors in coding of diagnoses of occupational diseases and their registration. The purpose of the work is to identify the cause of poor accounting of occupational diseases in Russia. Materials and methods The work was carried out on the basis of the Industrial Register of persons with occupational diseases. The registry was developed by the A.I. Burnazyan Federal Medical and Biological Center and has been in commercial operation since 2011. As of 31.12.2020, the register contains information about 2 300 patients with occupational diseases from among the employees of enterprises and organizations served by the health care institutions of FMBA of Russia. Directive documents on identification and registration of occupational diseases were analyzed. Results and discussion Analysis of the health of the working contingent and the subsequent creation of plans for medical and rehabilitation measures to reduce the incidence of occupational diseases among persons working at enterprises and organizations that are on dispensary registration in health care institutions of FMBA of Russia, requires knowledge of correct morbidity indicators about them. For this purpose, it is necessary to improve the registration of occupational diseases in Russia by switching to the diagnosis coding system adopted in the country’s sanitary statistics, and to make appropriate changes in policy documents. Conclusion One of the reasons for errors in recording occupational diseases is the violation of classification principles in the Order of the Ministry of Health and Social Development of Russia No 417n.Введение. Анализируя риск влияния на здоровье работников предприятий вредных факторов производства, некоторые исследователи объясняют низкую заболеваемость профессиональными болезнями в России ошибками их выявления на профилактических осмотрах, отсутствием заинтересованности работодателей и работников в выявлении и регистрации этих заболеваний и другими причинами. В то же время в литературе мы не встретили работ, посвященных ошибкам кодирования диагнозов профессиональных заболеваний и их учета. Цель работы – выявление причин некачественного учета профессиональных заболеваний в России. Материалы и методы. Работа выполнена на базе Отраслевого регистра лиц, имеющих профессиональные заболевания. Регистр разработан ФМБЦ им. А.И. Бурназяна и находится в промышленной эксплуатации с 2011 г. По состоянию на 31.12.2020 в регистре содержится информация о 2 300 больных профессиональными заболеваниями из числа работников предприятий и организаций, обслуживаемых учреждениями здравоохранения ФМБА России. Проведен анализ директивных документов по выявлению и учету профессиональных заболеваний. Результаты и обсуждение. Анализ здоровья работающего контингента и последующее создание планов медико-реабилитационных мероприятий по снижению заболеваемости профессиональными болезнями среди лиц, работающих на предприятиях и в организациях, состоящих на диспансерном учете в учреждениях здравоохранения ФМБА России, требует знаний корректных показателей заболеваемости о них. Для этого необходимо усовершенствовать учет профессиональных болезней в России путем перехода на систему кодирования диагнозов, принятую в санитарной статистике страны, и внести соответствующие изменения в директивные документы. Заключение. Одной из причин ошибок учета профессиональных болезней является нарушение принципов классификации в Приказе Минздравсоцразвития России № 417н

    Education in the aspect of globalization: factors of academic migration

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    Современное образование уже давно не ограничивается национальными масштабами. Процент академических мигрантов в лице студентов-иностранцев с каждым годом увеличивается. Социализация и адаптация в неродной среде является проблемной областью в научном исследовании. Авторы рассматривают факторы, побуждающие к зарубежному обучению.Modern education has long been not limited to national scales. The percentage of academic migrants in the face of foreign students is increasing every year. Socialization and adaptation in non-native environment is a problem area in scientific research. The authors consider factors that encourage foreign learning

    Genome-wide meta-analysis identifies eight new susceptibility loci for cutaneous squamous cell carcinoma.

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    To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked DownloadCutaneous squamous cell carcinoma (SCC) is one of the most common cancers in the United States. Previous genome-wide association studies (GWAS) have identified 14 single nucleotide polymorphisms (SNPs) associated with cutaneous SCC. Here, we report the largest cutaneous SCC meta-analysis to date, representing six international cohorts and totaling 19,149 SCC cases and 680,049 controls. We discover eight novel loci associated with SCC, confirm all previously associated loci, and perform fine mapping of causal variants. The novel SNPs occur within skin-specific regulatory elements and implicate loci involved in cancer development, immune regulation, and keratinocyte differentiation in SCC susceptibility.United States Department of Health & Human Services National Institutes of Health (NIH) - USA NIH National Human Genome Research Institute (NHGRI) United States Department of Health & Human Services National Institutes of Health (NIH) - USA Walther Cancer Foundation Damon Runyon Cancer Research Foundation Erasmus Medical Center and Erasmus University Rotterdam Netherlands Organization for Health Research and Development Research Institute for Diseases in the Elderly (RIDE) Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Ministry for Health, Welfare and Sports European Commission Joint Research Centre Municipality of Rotterda

    Computer simulation of macromolecular systems with amphiphilic monomer units: Biomimetic models

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    The Current State of Analysis, Synthesis, and Optimal Functioning of Multiproduct Digital Chemical Plants: Analytical Review

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