Health Research, Vol. 3, Issue 2, Sep  2019, Pages 8-18; DOI: 10.31058/j.hr.2019.32001 10.31058/j.hr.2019.32001

Global Health Quality Assessment Using Statistical Control Monitoring Tools Based on Who Database Record: A Descriptive Analysis

Health Research, Vol. 3, Issue 2, Sep  2019, Pages 8-18.

DOI: 10.31058/j.hr.2019.32001

Mostafa Essam Ahmed Mostafa Eissa 1*

1 Microbiology and Immunology Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt

Received: 31 July 2019; Accepted: 26 August 2019; Published: 8 October 2019

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Abstract

Human life expectancies and mortality rates are of crucial concern for national and international health organizations because they provide good estimation for monitoring of health quality. Worlds Health Organization (WHO) provides comprehensive database record for its regular observations for the nations globally. Analysis of web-based data of WHO using statistical software was conducted using statistical programs after stratification and processing of database. Results showed that life expectancy and Health Adjusted Life Expectancy (HALE) for developed and wealthy countries are much higher than that for developing and poor countries. Box plot diagrams demonstrated the pattern of the global distribution of these parameters with aberrant low values of survivability and high incidence of mortalities pertained for poor nations. The quality of life is also reflected by death rates at different age groups and the maternal probability of mortality. These markers are highly correlated and each one could be used as predictor or indicator for the other parameters which are evident in Contour plot. Modeling of worldwide survivability distribution estimated that the best pattern describing data is Generalized Extreme Value distribution (GEV). On the other hand, the best distribution fitting for mortality rates could be described by both Log-normal and Weibull (3) distributions. The study showed that despite the great advancement in health sciences and technologies in the recent decades and the massive efforts done by national and international organizations to improve human life around the world, a huge gap still exists at different geographical regions globally between rich and needy nations which is a reflection of inherent and may be persistent challenges that still affect the quality of the life environment in these suffering countries.

Keywords

GEV, Log-Normal, Weibull (3), Pareto Chart, HALE, WHO, Box Plot, Contour Plot, Outliers, Correlation Coefficient

Copyright

© 2017 by the authors. Licensee International Technology and Science Press Limited. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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