Summary Background China has undergone rapid demographic and epidemiological changes in the past few decades, including striking declines in fertility and child mortality and increases in life ...expectancy at birth. Popular discontent with the health system has led to major reforms. To help inform these reforms, we did a comprehensive assessment of disease burden in China, how it changed between 1990 and 2010, and how China's health burden compares with other nations. Methods We used results of the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010) for 1990 and 2010 for China and 18 other countries in the G20 to assess rates and trends in mortality, causes of death, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE). We present results for 231 diseases and injuries and for 67 risk factors or clusters of risk factors relevant to China. We assessed relative performance of China against G20 countries (significantly better, worse, or indistinguishable from the G20 mean) with age-standardised rates and 95% uncertainty intervals. Findings The leading causes of death in China in 2010 were stroke (1·7 million deaths, 95% UI 1·5–1·8 million), ischaemic heart disease (948 700 deaths, 774 500–1 024 600), and chronic obstructive pulmonary disease (934 000 deaths, 846 600–1 032 300). Age-standardised YLLs in China were lower in 2010 than all emerging economies in the G20, and only slightly higher than noted in the USA. China had the lowest age-standardised YLD rate in the G20 in 2010. China also ranked tenth (95% UI eighth to tenth) for HALE and 12th (11th to 13th) for life expectancy. YLLs from neonatal causes, infectious diseases, and injuries in children declined substantially between 1990 and 2010. Mental and behavioural disorders, substance use disorders, and musculoskeletal disorders were responsible for almost half of all YLDs. The fraction of DALYs from YLDs rose from 28·1% (95% UI 24·2–32·5) in 1990 to 39·4% (34·9–43·8) in 2010. Leading causes of DALYs in 2010 were cardiovascular diseases (stroke and ischaemic heart disease), cancers (lung and liver cancer), low back pain, and depression. Dietary risk factors, high blood pressure, and tobacco exposure are the risk factors that constituted the largest number of attributable DALYs in China. Ambient air pollution ranked fourth (third to fifth; the second highest in the G20) and household air pollution ranked fifth (fourth to sixth; the third highest in the G20) in terms of the age-standardised DALY rate in 2010. Interpretation The rapid rise of non-communicable diseases driven by urbanisation, rising incomes, and ageing poses major challenges for China's health system, as does a shift to chronic disability. Reduction of population exposures from poor diet, high blood pressure, tobacco use, cholesterol, and fasting blood glucose are public policy priorities for China, as are the control of ambient and household air pollution. These changes will require an integrated government response to improve primary care and undertake required multisectoral action to tackle key risks. Analyses of disease burden provide a useful framework to guide policy responses to the changing disease spectrum in China. Funding Bill & Melinda Gates Foundation.
Background Health care workers have high risk of exposure to human blood and body fluids (BBF) from patients in acute care and residents in nursing homes or personal homes. Methods This analysis ...examined the epidemiology for BBF exposure across health care settings (acute care, nursing homes, and community care). Detailed analysis of BBF exposure among the health care workforce in 3 British Columbian health regions was conducted by Poisson regression modeling, with generalized estimating equations to determine the relative risk associated with various occupations. Results Acute care had the majority of needlestick, sharps, and splash events with the BBF exposure rate in acute care 2 to 3 times higher compared with nursing home and community care settings. Registered nurses had the highest frequency of needlestick, sharps, and splash events. Laboratory assistants had the highest exposure rates from needlestick injuries and splashes, whereas licensed practical nurses had the highest exposure rate from sharps. Most needlestick injuries (51.3%) occurred at the patient's bedside. Sharps incidents occurred primarily in operating rooms (26.9%) and at the patient's bedside (20.9%). Splashes occurred most frequently at the patient's bedside (46.1%) and predominantly affected the eyes or face/mouth. The majority of needlestick/sharps injuries occurred during use for registered nurses, during disposal for licensed practical nurses, and after disposal for care aides. Conclusion The high risk of BBF exposure for some occupations indicates there is room for improvement to reduce BBF exposure by targeting high-risk groups for prevention strategies.
We used observational evaluation to assess the ability of an online learning course to effectively transfer knowledge on personal protective equipment (PPE) selection and removal. During orientations ...for new hospital staff, 117 participants applied either airborne, droplet, or contact precautions in mock scenarios. Postcourse, all 3 scenarios demonstrated improvement in PPE sequence scores ( P = .001); moreover, hand hygiene also was more frequent during both donning and doffing of PPE ( P < .001).
Summary Background China has experienced a remarkable epidemiological and demographic transition during the past three decades. Far less is known about this transition at the subnational level. ...Timely and accurate assessment of the provincial burden of disease is needed for evidence-based priority setting at the local level in China. Methods Following the methods of the Global Burden of Disease Study 2013 (GBD 2013), we have systematically analysed all available demographic and epidemiological data sources for China at the provincial level. We developed methods to aggregate county-level surveillance data to inform provincial-level analysis, and we used local data to develop specific garbage code redistribution procedures for China. We assessed levels of and trends in all-cause mortality, causes of death, and years of life lost (YLL) in all 33 province-level administrative units in mainland China, all of which we refer to as provinces, for the years between 1990 and 2013. Findings All provinces in mainland China have made substantial strides to improve life expectancy at birth between 1990 and 2013. Increases ranged from 4·0 years in Hebei province to 14·2 years in Tibet. Improvements in female life expectancy exceeded those in male life expectancy in all provinces except Shanghai, Macao, and Hong Kong. We saw significant heterogeneity among provinces in life expectancy at birth and probability of death at ages 0–14, 15–49, and 50–74 years. Such heterogeneity is also present in cause of death structures between sexes and provinces. From 1990 to 2013, leading causes of YLLs changed substantially. In 1990, 16 of 33 provinces had lower respiratory infections or preterm birth complications as the leading causes of YLLs. 15 provinces had cerebrovascular disease and two (Hong Kong and Macao) had ischaemic heart disease. By 2013, 27 provinces had cerebrovascular disease as the leading cause, five had ischaemic heart disease, and one had lung cancer (Hong Kong). Road injuries have become a top ten cause of death in all provinces in mainland China. The most common non-communicable diseases, including ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and cancers (liver, stomach, and lung), contributed much more to YLLs in 2013 compared with 1990. Interpretation Rapid transitions are occurring across China, but the leading health problems and the challenges imposed on the health system by epidemiological and demographic change differ between groups of Chinese provinces. Localised health policies need to be implemented to tackle the diverse challenges faced by local health-care systems. Funding China National Science & Technology Pillar Program 2013 (2013BAI04B02) and Bill & Melinda Gates Foundation.
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