tailieunhanh - báo cáo sinh học:" Measuring inequalities in the distribution of health workers: the case of Tanzania"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài : Measuring inequalities in the distribution of health workers: the case of Tanzania | Human Resources for Health BioMed Central Research Measuring inequalities in the distribution of health workers the case of Tanzania Michael A Munga 1 2 and Ottar M stad3 Address 1National Institute for Medical Research Dar es Salaam Tanzania 2Centre for International Health University of Bergen Bergen Norway and 3Chr Michelsen Institute Bergen Norway Email Michael A Munga - michaelmunga@ Ottar M stad - Corresponding author Open Access Published 21 January 2009 Received 9 February 2008 Human Resources for Health 2009 7 4 doi 1478-4491-7-4 Accepted 21 January 2009 This article is available from http content 7 1 4 2009 Munga and M stad licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background The overall human resource shortages and the distributional inequalities in the health workforce in many developing countries are well acknowledged. However little has been done to measure the degree of inequality systematically. Moreover few attempts have been made to analyse the implications of using alternative measures of health care needs in the measurement of health workforce distributional inequalities. Most studies have implicitly relied on population levels as the only criterion for measuring health care needs. This paper attempts to achieve two objectives. First it describes and measures health worker distributional inequalities in Tanzania on a per capita basis second it suggests and applies additional health care needs indicators in the measurement of distributional inequalities. Methods We plotted Lorenz and concentration curves to illustrate graphically the .