Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Armed conflicts have an impact on the spread of tuberculosis: the case of the Somali Regional State of Ethiopia. | Gele and Bjune Conflict and Health 2010 4 1 http content 4 1 1 I CONFLICT AND HEALTH RESEARCH Open Access Armed conflicts have an impact on the spread of tuberculosis the case of the Somali Regional State of Ethiopia Abdi A Gele1 2 Gunnar A Bjune2 Abstract A pessimistic view of the impact of armed conflicts on the control of infectious diseases has generated great interest in the role of conflicts on the global TB epidemic. Nowhere in the world is such interest more palpable than in the Horn of Africa Region comprising Ethiopia Somalia Eritrea Djibouti Kenya and Sudan. An expanding literature has demonstrated that armed conflicts stall disease control programs through distraction of health system interruption of patients ability to seek health care and the diversion of economic resources to military ends rather than health needs. Nonetheless until very recently no research has been done to address the impact of armed conflict on TB epidemics in the Somali Regional State SRS of Ethiopia. Methods This study is based on the cross-sectional data collected in 2007 utilizing structured questionnaires filled-out by a sample of 226 TB patients in the SRS of Ethiopia. Data was obtained on the delay patients experienced in receiving a diagnosis of TB on the biomedical knowledge of TB that patients had and the level of self-treatment by patients. The outcome variables in this study are the delay in the diagnosis of TB experienced by patients and extent of self-treatment utilized by patients. Our main explanatory variable was place of residence which was dichotomized as being in conflict zones and in non-conflict zones . Demographic data was collected for statistical control. Chi-square and Mann-Whitney tests were used on calculations of group differences. Logistic regression analysis was used to determine the association between outcome and predictor variables. Results Two hundred and twenty six TB patients were interviewed. The median delay in the .
