We are upgrading the repository! A content freeze is in effect until December 6th, 2024 - no new submissions will be accepted; however, all content already published will remain publicly available. Please reach out to repository@u.library.arizona.edu with your questions, or if you are a UA affiliate who needs to make content available soon. Note that any new user accounts created after September 22, 2024 will need to be recreated by the user in November after our migration is completed.

Show simple item record

dc.contributor.advisorAbraham, Ivoen
dc.contributor.authorBoytsova, Olga
dc.contributor.authorPatel, Kinjal
dc.contributor.authorPham, Tina
dc.contributor.authorAbraham, Ivo
dc.date.accessioned2016-06-22T17:55:29Z
dc.date.available2016-06-22T17:55:29Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10150/614160
dc.descriptionClass of 2014 Abstracten
dc.description.abstractSpecific 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.
dc.language.isoen_USen
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectEast Asianen
dc.subjectPacific Countriesen
dc.subjectExpenditureen
dc.subject.meshHealth Expenditures
dc.subject.meshFar East
dc.subject.meshPacific Islands
dc.titleHealth Expenditure Trends in East Asian and Pacific Countries, 1995-2010en_US
dc.typetexten
dc.typeElectronic Reporten
dc.contributor.departmentCollege of Pharmacy, The University of Arizonaen
dc.description.collectioninformationThis 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.en
html.description.abstractSpecific 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.


This item appears in the following Collection(s)

Show simple item record