Democracy: the forgotten challenge for bioethics in the developing countries

<p>Abstract</p> <p>Background</p> <p>Bioethics as a field related to the health system and health service delivery has grown in the second half of the 20^thcentury, mainly in North America. This is attributed, the author argues, to mainly three kinds of development that took place in the developed countries at a pace different than the developing countries. They are namely: development of the health system; moral development; and political development.</p> <p>Discussion</p> <p>This article discusses the factors that impede the development of the field of bioethics from an academic activity to a living field that is known and practiced by the people in the developing countries. They are quite many; however, the emphasis here is on role of the political structure in the developing countries and how it negatively affects the development of bioethics. It presents an argument that if bioethics is to grow within the system of health service, it should be accompanied by a parallel changes in the political mindsets in these countries.</p> <p>Summary</p> <p>For bioethics to flourish in developing countries, it needs an atmosphere of freedom where people can practice free moral reasoning and have full potential to take their life decisions by themselves. Moreover, bioethics could be a tool for political change through the empowerment of people, especially the vulnerable.</p> <p>To achieve that, the article is proposing a practical framework for facilitating the development of the field of bioethics in the developing countries.</p

The Relationship between Diabetes Mellitus and Health-Related Quality of Life in Korean Adults: The Fourth Korea National Health and Nutrition Examination Survey (2007-2009)

BackgroundDiabetes is a major health problem in Korea. However, interest in the quality of life in patients with diabetes is low. We examined the effects of diabetes on health-related quality of life (HRQoL) and compared it with HRQoL in the general Korean population using the Fourth Korea National Health and Nutrition Examination Survey (KNHANES IV) (2007-2009).MethodsUsing KNHANES IV data, we compared EuroQol (EQ)-5D and EQ-visual analogue scale (VAS) scores after adjusting for sociodemographic and psychosocial factors as well as for comorbidities (hypertension, heart disease, stroke, arthritis, and chronic renal disease). Logistic regressions were used to explore determinants for the lowest quintile HRQoL scales in the diabetes group.ResultsThe mean age of the 14,441 enrolled subjects (6,129 men and 8,312 women) was 52.5±14.5 years. The mean EQ-5D and EQ-VAS scores were significantly lower in the diabetes group (EQ-5D. 0.87; EQ-VAS, 71.94) than in the non-diabetes group (EQ-5D, 0.94; EQ-VAS, 77.40) (P<0.001). Self-reported depressive symptom had a significant effect on lowering the EQ-VAS (odds ratio [OR], 1.7; 95% confidence interval [CI], 1.1 to 2.6) in the diabetes group. Stress level had a significant effect in lowering both the EQ-5D (OR, 2.0; 95% CI, 1.3 to 2.9) and the EQ-VAS (OR, 1.9; 95% CI, 1.3 to 2.9). HbA1c, diabetes duration, and treatment modalities had no significant effect on lowering HRQoL.ConclusionDiabetes was clearly associated with impaired HRQoL compared with the non-diabetic population regardless of comorbidities. Therapeutic approaches should focus much more on the subjective perception of health in patients with diabetes

The impact of mass gatherings and holiday traveling on the course of an influenza pandemic: a computational model

<p>Abstract</p> <p>Background</p> <p>During the 2009 H1N1 influenza pandemic, concerns arose about the potential negative effects of mass public gatherings and travel on the course of the pandemic. Better understanding the potential effects of temporal changes in social mixing patterns could help public officials determine if and when to cancel large public gatherings or enforce regional travel restrictions, advisories, or surveillance during an epidemic.</p> <p>Methods</p> <p>We develop a computer simulation model using detailed data from the state of Georgia to explore how various changes in social mixing and contact patterns, representing mass gatherings and holiday traveling, may affect the course of an influenza pandemic. Various scenarios with different combinations of the length of the mass gatherings or traveling period (range: 0.5 to 5 days), the proportion of the population attending the mass gathering events or on travel (range: 1% to 50%), and the initial reproduction numbers R₀(1.3, 1.5, 1.8) are explored.</p> <p>Results</p> <p>Mass gatherings that occur within 10 days before the epidemic peak can result in as high as a 10% relative increase in the peak prevalence and the total attack rate, and may have even worse impacts on local communities and travelers' families. Holiday traveling can lead to a second epidemic peak under certain scenarios. Conversely, mass traveling or gatherings may have little effect when occurring much earlier or later than the epidemic peak, e.g., more than 40 days earlier or 20 days later than the peak when the initial R₀= 1.5.</p> <p>Conclusions</p> <p>Our results suggest that monitoring, postponing, or cancelling large public gatherings may be warranted close to the epidemic peak but not earlier or later during the epidemic. Influenza activity should also be closely monitored for a potential second peak if holiday traveling occurs when prevalence is high.</p