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Main arrow Archive of previous Issues arrow ╣2 2018 (60) arrow MAIN CAUSES OF DISABILITY AND MORTALITY IN 2012-2016 EXAMPLIFIED BY NOVOKUZNETSK
Friday, 11 May 2018

DOI: 10.21045/2071-5021-2018-60-2-7

Zhilina N. M.
Novokuznetsk State Institute of Postgraduate Medical Training, branch of the Russian Medical Academy of Continuous Education of the Ministry of Health of the Russian Federation, Novokuznetsk

Contacts: Zhilina Nataliya, e-mail: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
Information about authors:
Zhilina N.M.,
Acknowledgments. The study had no sponsorship.
Conflict of interests. The author declare no conflict of interest.

Abstract. The study is substantiated by the importance of the research subject; results of the analysis of causes of disability and mortality across regions help to focus the required actions. Health status primarily determines effectiveness of performance and high quality of life. Identification of risk zones of disability and mortality promotes adoption of adequate solutions to reduce preventable loss and improve life quality of the society in terms of health. The study purpose is to identify main causes of disability and mortality in the population of Novokuznetsk, the large industrial center of Siberia, that have negative trends over the past five years. Material of the study was data of the annual signal information of the Novokuznetsk medical information and analytical center, received as a result of the analyzed output forms of the automated information systems of the public health evaluation. Both the systems and databases have undergone state registration.

The authors applied methods of system analysis and statistical methods. Normality of distribution of quantitative characteristics was tested using values of kurtosis and skewness. Trends in indicators were analyzed using the criterion of Tau Kendall.

Qualitative traits in two independent groups were compared using z-test. The critical level of significance of the difference (p) is 0.05. The metrics were compiled into time series and analyzed in licensed statistical package IBM SPSS Statistics 22. The analysis helped to identify problem situations and calculate significant correlations. Recommendations on eliminating health risk factors have been made.

Results of the study can be used to identify problems and develop priorities to reduce avoidable health loss at the federal and regional levels.

Keywords: population health; automated monitoring; risk zones of disability and mortality; trends in indicators; correlations.


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