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    Health Expenditure Trends in East Asian and Pacific Countries, 1995-2010

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    Author
    Boytsova, Olga
    Patel, Kinjal
    Pham, Tina
    Abraham, Ivo
    Affiliation
    College of Pharmacy, The University of Arizona
    Issue Date
    2014
    Keywords
    East Asian
    Pacific Countries
    Expenditure
    MeSH Subjects
    Health Expenditures
    Far East
    Pacific Islands
    Advisor
    Abraham, Ivo
    
    Metadata
    Show full item record
    Rights
    Copyright © is held by the author.
    Collection Information
    This item is part of the Pharmacy Student Research Projects collection, made available by the College of Pharmacy and the University Libraries at the University of Arizona. For more information about items in this collection, please contact Jennifer Martin, Librarian and Clinical Instructor, Pharmacy Practice and Science, jenmartin@email.arizona.edu.
    Publisher
    The University of Arizona.
    Abstract
    Specific Aims: To classify East Asian and Pacific countries into homogenous groups based on potential determinants of their healthcare expenditures and public health care. Methods: We used data from the 1995 to 2010 World Health Organization (WHO) database. Cluster analysis techniques were applied to identify clusters of East Asian and Pacific countries using variables identified as potential determinants of healthcare expenditures and public health care. Differences between clusters of countries were validated using Analysis of Variance (ANOVA). Average annual growth rate (AAGR) was calculated to study the change in trends across countries over time. Main Results: Nineteen countries with complete data were included. Of those, we identified four distinct clusters. Cluster 1 consisted of Cambodia, Laos, Mongolia, Solomon Islands, Timor-Leste and Vanuatu. Cluster 2 represented China, Myanmar, and Vietnam. Cluster 3 consisted of Fiji, Indonesia, South Korea, Malaysia and Thailand. Cluster 4 represented Micronesia, Papua New Guinea, Philippines, Samoa and Tonga. Health Expenditure per capita AAGR (P=0.002), infant mortality rate AAGR (P=0.018), life expectancy at birth AAGR (p=0.003), population ages 65 and above AAGR (P=0.004) and death rate (P<0.001) were found to be significantly different among the clusters. Clusters were similar based on birth rate (P=0.425) and public health expenditure (P=0.231), though there were trends of differences. Conclusion: East Asian and Pacific countries were similar based on birth rate and public health expenditure, but were different based on health expenditure per capita, infant mortality rate, life expectancy at birth, population ages 65 and above and death rate. Exploration of clusters among countries may increase the chances of success for health policies and innovations at lower costs of targeted implementation at a global level.
    Description
    Class of 2014 Abstract
    Collections
    Pharmacy Student Research Projects

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