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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:
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Information about authors:
Zhilina N.M., http://orcid.org/0000-0001-7871-3885
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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