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Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí hóa học quốc tế đề tài : The reliability and validity of the SF-8 with a conflict-affected population in northern Uganda | Health and Quality of Life BioMed Central Open Access The reliability and validity of the SF-8 with a conflict-affected population in northern Uganda Bayard Roberts 1 John Browne2 Kaducu Felix Ocaka3 Thomas Oyok2 and Egbert Sondorp1 Address Conflict and Health Programme Health Policy Unit Department of Public Health and Policy London School of Hygiene and Tropical Medicine UK 2Health Services Research Unit Department of Public Health and Policy London School of Hygiene and Tropical Medicine UK and 3Faculty of Medicine Gulu University PO Box 166 Gulu Uganda Email Bayard Roberts - bayard.roberts@lshtm.ac.uk John Browne - john.browne@lshtm.ac.uk Kaducu Felix Ocaka - fkaducu@yahoo.co.uk Thomas Oyok - oyokthomas@yahoo.co.uk Egbert Sondorp - egbert.sondorp@lshtm.ac.uk Corresponding author Published 2 December 2008 Received 21 March 2008 Health and Quality of Life Outcomes 2008 6 108 doi l0.ll86 l477-7525-6-108 Accepted 2 December 2008 This article is available from http www.hqlo.cOm content 6 1 108 2008 Roberts 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 SF-8 is a health-related quality of life instrument that could provide a useful means of assessing general physical and mental health amongst populations affected by conflict. The purpose of this study was to test the validity and reliability of the SF-8 with a conflict-affected population in northern Uganda. Methods A cross-sectional multi-staged random cluster survey was conducted with 1206 adults in camps for internally displaced persons in Gulu and Amuru districts of northern Uganda. Data quality was assessed by analysing the number of incomplete responses to SF-8 items. Response distribution was analysed using aggregate endorsement .
