Table of Contents
ISRN Neurology
Volume 2012, Article ID 802785, 6 pages
Research Article

Young Stroke Mortality in Fiji Islands: An Economic Analysis of National Human Capital Resource Loss

1Lourdes Hospital and Community Health Service, P.O. Box 974, Dubbo, NSW 2830, Australia
2College of Business, Hospitality and Tourism Studies, Fiji National University, P.O. Box 7222, Nasinu, Fiji

Received 3 February 2012; Accepted 2 March 2012

Academic Editors: B. Drukarch, R. L. Macdonald, and A. K. Petridis

Copyright © 2012 Jagdish C. Maharaj and Mahendra Reddy. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Introduction. The objective of this study was to perform an economic analysis in terms of annual national human capital resource loss from young stroke mortality in Fiji. The official retirement age is 55 years in Fiji. Method. Stroke mortality data, for working-age group 15–55 years, obtained from the Ministry of Health and per capita national income figure for the same year was utilised to calculate the total output loss for the economy. The formula of output loss from the economy was used. Results. There were 273 stroke deaths of which 53.8% were of working-age group. The annual national human capital loss from stroke mortality for Fiji for the year was calculated to be F$8.85 million (US$5.31 million). The highest percentage loss from stroke mortality was from persons in their forties; that is, they still had more then 10 years to retirement. Discussion. This loss equates to one percent of national government revenue and 9.7% of Ministry of Health budget for the same year. The annual national human capital loss from stroke mortality is an important dimension in the overall economic equation of total economic burden of stroke. Conclusion. This study demonstrates a high economic burden for Fiji from stroke mortality of young adults in terms of annual national human capital loss.