Analysis and forecasting of statistical indicators of health in Romania between 1997 and 2016

• Author: Stefan M., Chitu I.B.
• Pages: 347-358

Bulletin of the Transilvania University of Braşov

Series V: Economic Sciences • Vol. 9 (58) No. 1 - 2016

Analysis and forecasting of statistical indicators of

health in Romania between 1997 and 2016

Mădălina ŞTEFAN1, Ioana Bianca CHIU2

Abstract: Quantitative indicators related to health issues reflect a reality in the public

health system of Romania. To accurately analyze social and health phenomena econometric

models which have been provided by Microsoft Excel were used. The forecast covers the

period 2015-2016 and is relevant for the analysis of the chosen indicators.

Key-words: multiple regression, forecasting, public health system, econometric model

1. Introduction

The use of social marketing in public health campaigns had as effect designing and

implementing successful campaigns. The steps needed to design and implement a

public health campaign are initiated in the context of identifying a health problem of

the population that could be solved or alleviated through such a program (Brătucu,

Enache and Pralea, 2013).

Statistics from recent years place Romania among the countries situated on an

average level in terms of standardized rate of mortality among the Member States of

the European Union, with smallest incidence and prevalence rates, but with a

growing trend. Cancer is a major public health problem throughout the world, there

is a considerable variation in incidence, mortality, survival, environmental

determinants, joint programs of prevention, detection, treatment, palliative

programmes (Department of Public Health, 2011).

In order to analyze all the information, based on a knowledge gained by

studying econometrics, there were analyzed several aspects and socio-economic

phenomena. For the present paper, Microsoft Office Excel was used and it helped in

drawing conclusions that are derived from the Excel outputs.

For analyzing the multiple regression model data has been used, referring to:

the number of health units, the net investments in health, number of beds in public

hospitals, the number of health professionals, the number of patients that get out of

1 Transilvania University of Braşov, madalina.stefan@unitbv.ro

2 Transilvania University of Braşov, ioana.chitu@unitbv.ro