This review calls attention to the existence of manifold discourses about globalization and culture in non-Western medical education contexts. In refocusing global medical education processes to avoid Western cultural imperialism, it will also be necessary to avoid the pitfalls of other globalization discourses. Moving beyond existing discourses, researchers and educators should work towards equitable, context-sensitive and locally-driven approaches to global medical education.

Background: Medical professionalism is valued globally. However, Western frameworks of medical professionalism may not resonate with the cultural values of non-Western countries. Aims: This study aims to formulate a professionalism framework for healthcare providers at Peking Union Medical College (PUMC) in China. Methods: This study was conducted using nominal group technique (NGT) in a convenient sample of 97 participants at PUMC in November and December, 2011. Participants were sorted into 13 occupational groups, each discussing and ranking categories of medical professionalism. The authors compared the results of each group's ranked categories and analyzed meeting transcripts. Results: A pre-existing framework provided eight categories: clinical competence, communication, ethics, humanism, excellence, accountability, altruism, and integrity. Participants created four categories: teamwork, self-management, health promotion, and economic considerations. Clinical competence and communication ranked highly among most groups. Only hospital volunteers and resident physicians included self-management in their top-ranked items. Only public health experts prioritized health promotion. Standardized patients were unique in mentioning ''economic considerations.'' Medical students and attending physicians both referenced Chinese traditional values. Conclusions: Our study was able to document effects of East Asian cultural influences and conflicts between Western ideologies and Asian traditions that led to divergent interpretations of medical professionalism.

Hepatitis C virus infection is a perennial concern for hemodialysis units because the prevalence of hepatitis C is significantly higher there than in the general population. Through a systematic review and meta-analysis, we aim to assess the incidence rate of hepatitis C virus infection in hemodialysis units and explore its potential risk factors. Five electronic databases were used to search articles from 1990 to 2012, including PubMed, Embase, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and Wanfang. A random-effects analysis was used to estimate the overall incidence rate of hepatitis C virus infection. A subgroup analysis and meta-regression analysis were conducted to explore factors associated with heterogeneity between studies. Twenty-two eligible articles were found, including 23 incidence rate estimates. The overall incidence rate of hepatitis C virus infection was 1.47 per 100 patient-years (95% confidence interval [CI] 1.14 to 1.80). In the subgroup analysis, the pooled incidence rate was 4.44 (CI 2.65, 6.23) per 100 patient-years in the developing world and 0.99 (CI 0.66, 1.29) per 100 patient-years in the developed world. [Correction added on 2 November 2012, after first online publication: Pooled incidence rate in the developed world has been changed.] In addition, in hemodialysis units with higher prevalence, the incidence rate of hepatitis C virus infection also tended to be higher. Meta-regression analysis showed that the country's development level and initial HCV prevalence combined could explain 67.91% of the observed heterogeneity. The incidence rate of hepatitis C virus infection among patients on hemodialysis was significantly high. Efforts should be taken to control hepatitis C virus infection in hemodialysis units, especially in developing countries.

ObjectiveThis study aimed to describe the spatial and temporal trends of Shigella incidence rates in Jiangsu Province, People's Republic of China. It also intended to explore complex risk modes facilitating Shigella transmission.MethodsCounty-level incidence rates were obtained for analysis using geographic information system (GIS) tools. Trend surface and incidence maps were established to describe geographic distributions. Spatio-temporal cluster analysis and autocorrelation analysis were used for detecting clusters. Based on the number of monthly Shigella cases, an autoregressive integrated moving average (ARIMA) model successfully established a time series model. A spatial correlation analysis and a case-control study were conducted to identify risk factors contributing to Shigella transmissions.ResultsThe far southwestern and northwestern areas of Jiangsu were the most infected. A cluster was detected in southwestern Jiangsu (LLR = 11674.74, P<0.001). The time series model was established as ARIMA (1, 12, 0), which predicted well for cases from August to December, 2011. Highways and water sources potentially caused spatial variation in Shigella development in Jiangsu. The case-control study confirmed not washing hands before dinner (OR = 3.64) and not having access to a safe water source (OR = 2.04) as the main causes of Shigella in Jiangsu Province.ConclusionImprovement of sanitation and hygiene should be strengthened in economically developed counties, while access to a safe water supply in impoverished areas should be increased at the same time.

Hemodialysis patients are at risk for hepatitis C and B virus infections. This study investigated the prevalences and risk factors of HCV and HBV infection and the distribution of HCV genotypes among hemodialysis patients and their spouses. From August to November 2011, a cross-sectional study was conducted on 20 hemodialysis units in Beijing to investigate prevalences and risk factors for markers of HCV and HBV among 2,120 patients and 409 spouses. In hemodialysis patients, prevalences of anti-HCV, HCV RNA, and hepatitis B surface antigen (HBsAg) were 6.1%, 4.6%, and 7.0%, respectively. The prevalence of HCV antibodies among spouses was 0.5%, of HCV RNA was 0.2%, and of HBsAg was 4.2%. Risk factors for HCV infection were dialysis duration, blood transfusion, and attending more than one dialysis unit. HBV infection was independently associated with age, family member with hepatitis infection, gender, and surgery. The predominant HCV genotypes were 1b (89.0%) and 2a (7.7%), and genotypes 3a, 3b, and 6a were each 1.1%. A significant decrease in HCV and HBV prevalences in Chinese dialysis units showed that infection control measures were effective. However, because nosocomial transmissions persist, strict adherence to infection control measures should be emphasized to reduce the risk of transmission.