EUROPEAN JOURNAL OF
PHARMACEUTICAL AND MEDICAL RESEARCH

An International Peer Reviewed Journal for Pharmaceutical, Medical & Biological Sciences

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

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 ISSN 2394-3211

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Abstract

DETERMINANTS OF PUBLIC HEALTHCARE EXPENDITURE IN SAUDI ARABIA

Dr. Abdelhalim E. El- Farouk*, Fadhel M. Banjar, Hosham M. O. Karar and Fowzi O. Elamin

ABSTRACT

Aim: Boosting health care expenditures is becoming a priority and a major health policy concern almost worldwide. To achieve solving that concern, it is crucial to know the main factors that underlie the growth in health care expenditures. This will help in supporting decision-makers to find best policies to manage health care costs. Here in this study, our aim is to examine the determinants of health care spending in Saudi Arabia over the period (1979-2013). Material and Method: Data used in this study have been collected from different sources that are mentioned in the text when come by. Variables included in this study include per capita GDP, number of physicians, population age structure variables; (population under 15 and/or over 65), infant mortality rate (IMR), population growth and lagged healthcare expenditure. These variables have been singled out by this study as the key determinants of health care expenditure. Variables have been displayed in their descriptive formats to check for their minimum, maximum, range, mean, standard deviation and coefficient of variation. A correlation matrix was produced to check for relationships between the variables. A stepwise regression method was adopted to described determine the factors that most affect and determine health care expenditure in KSA. Results: Our study findings revealed that the GDP per capita and the lagged health care expenditures (i.e. per capita healthcare expenditure of the previous year) are the major two factors that affect health care expenditure levels. Together, the two variables are responsible for 93.3% of the variations in the per capita health care expenditure. The regression model excluded all of the remaining variables because of the fact that they are statistically insignificant and do not fit with the model at a (0.05) level of significance. They do not contribute significantly to the explanation of the per capita health care spending variation. These variables are number of physicians, annual population growth rate, percent of the population aged 65 years and older, percent of the population under 15 years and infant mortality rate.

Keywords: Determinants, Healthcare, Expenditure, Elasticity, GDP, Physicians, Regression, Hospitals, Hospital-beds, IMR, Population 65 and over, Population under 15.


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Google Scholar Indian Science Publications InfoBase Index (In Process) SOCOLAR, China Research Bible, Fuchu, Tokyo. JAPAN International Society for Research activity (ISRA) Scientific Indexing Services (SIS) Polish Scholarly Bibliography Global Impact Factor (GIF) (Under Process) Universal Impact Factor International Scientific Indexing (ISI), UAE Index Copernicus CAS (A Division of American Chemical Society) USA (Under Process) Directory of Open Access Journal (DOAJ, Sweden, in process) UDLedge Science Citation Index CiteFactor Directory Of Research Journal Indexing (DRJI) Indian citation Index (ICI) Journal Index (JI, Under Process) Directory of abstract indexing for Journals (DAIJ) Open Access Journals (Under Process) Impact Factor Services For International Journals (IFSIJ) Cosmos Impact Factor Jour Informatics (Under Process) Eurasian Scientific Journal Index (ESJI) International Innovative Journal Impact Factor (IIJIF) Science Library Index, Dubai, United Arab Emirates Pubmed Database [NLM ID: 101669306] (Under Process) IP Indexing (IP Value 2.40) Web of Science Group (Under Process) Directory of Research Journals Indexing