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báo cáo sinh học:" What if we decided to take care of everyone who needed treatment? Workforce planning in Mozambique using simulation of demand for HIV/AIDS care"

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Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài : What if we decided to take care of everyone who needed treatment? Workforce planning in Mozambique using simulation of demand for HIV/AIDS care | Human Resources for Health BioMed Central Open Access What if we decided to take care of everyone who needed treatment Workforce planning in Mozambique using simulation of demand for HIV AIDS care Amy Hagopian 41 1 2 Mark A Micek41 2 Ferruccio Vio3 Kenneth Gimbel-Sherr1 3 and Pablo Montoya4 Address Departments of Health Services and Global Health University of Washington School of Public Health and Community Medicine 4534 11th Av. NE Seattle WA 98105 USA 2Health Alliance International Seattle Washington USA 3Health Alliance International Maputo Mozambique and 4Health Alliance International Beira Sofala Mozambique Email Amy Hagopian - hagopian@u.washington.edu Mark A Micek - mmicek@u.washington.edu Ferruccio Vio - ferrucciovio@yahoo.co.uk Kenneth Gimbel-Sherr - ksherr@u.washington.edu Pablo Montoya - pablom@teledata.mz Corresponding author tEqual contributors Published 7 February 2008 Received 19 August 2007 Human Resources for Health 2008 6 3 doi l0.ll86 l478-4491-6-3 Accepted 7 February 2008 This article is available from http www.human-resources-health.cOm content 6 1 3 2008 Hagopian et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background The growing AIDS epidemic in southern Africa is placing an increased strain on health systems which are experiencing steadily rising patient loads. Health care systems are tackling the barriers to serving large populations in scaled-up operations. One of the most significant challenges in this effort is securing the health care workforce to deliver care in settings where the manpower is already in short supply. Methods We have produced a demand-driven staffing model using simple spreadsheet technology based on treatment protocols for HIV-positive patients that adhere to

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