performed. Our study was based on document and database analysis. The indicators were obtained from WHO (World Health Organization) databases and Chinese Statistical Yearbook 2003 and 2013. Results: The health insurance coverage of the Chinese population is 96%. 62% of the hospitals are state-runned, 38% are private, from which 88% of the hospital beds are public and 12% are private. 51% of local institutions are public and 49% are private. The four basic pillars of Chinese health care are state budget tax revenue, social security, direct pay and private insurance. The new, most important forms of insurance that are currently in use are: the New Cooperative Rural Medical Scheme (NCRMS), Urban Residence Basic Medical Insurance (URBMI), Urban Employee Basic Medical Insurance (UEBMI) and the Medical Assistant Funds (MAF). In 2009, 94% of rural areas had the population NCRMS health insurance. The public health insurance coverage of the population has been increasing ever since 2010 from outpatient care. However, the insured are obligated to pay co-payment. 50% of the inpatient's care costs, approximately 60-70% of outpatient care costs should be reimbursed by the insured. The use of healthcare services between 2003 and 2013 has changed considerably. The un-visit rate decreased by nearly half in rural (22%) and urban (32,9%) areas. The rate of outpatient's visit decreased in rural (12,8%) areas and increased in cities (13,3 %). Un-hospitalization rate in rural areas went also downward among the urban population. The rate of hospitalization increased considerably among both rural and urban residents. ConClusions: The eleven-year health reform set up by China is to balance the differences between population and market needs. It is important to evaluate the reform's success in the future.

school (14-17 years) age. Potential predictors for early initiation included state-level factors (cigarette tax rates, marijuana legalization), cues to action (curiosity towards e-cigarette, friends or family being smokers, TV or movie stars being smokers, easy access, flavors, advertisements), perceived susceptibility (using any other tobacco product(s)), perceived benefits (trying to quit tobacco, relative costs, relative harm). Multi-variable logistic regression with backward selection was performed to retain the most significant predictors of early initiation of e-cigarettes. Results: A total of 358 and 1,496 were identified as early and late initiators of e-cigarettes. Those who tried to quit tobacco (OR=2.49, 95%CI=1.160-5.341), lived with e-cigarette smokers (OR=2.43, 95%CI=1.557-3.799) and cigarettes smokers (OR=1.67, 95%CI=1.078-2.596) were more likely to start e-cigarettes early. Conclusions: Home environment has a major impact on whether children will become e-cigarette smokers. It is alarming that middle school children reported starting e-cigarettes in order to quit tobacco smoking as there is limited evidence of using e-cigarettes as smoking cessation aid. Dual use of e-cigarettes and cigarettes may extend the nicotine addiction which will pose a greater health risk when exposed in early age. Schools should consider promoting a youth e-cigarette prevention campaign to curb the epidemic of e-cigarettes in early school age children.

S85 ling to 363 (28%), following dispensing and medication procurement errors 223 (17%) each. Clinical Pharmacists, nurses and doctors reported 674 (51%), 409 (31%) and 227 (17%) respectively. A majority of reported medication errors had an outcome of Category A, 432 (33%) followed by category B, 413 (32%). Root-cause of these MEs were distractions, workload, and communications with 472, 422, and 341 errors reported respectively. Analgesics (19.4%) and antibiotics (15.7%) were the most commonly implicated classes of medications. The length of hospital stays, OR 2.31 (1.22-4.36), the number of medications OR 2.30 (1.4-3.5), multiple comorbidities OR 1.79 (0.48-6.68), and work shifts OR 2.359 (1.233-4.514) were found to be significant predisposing factors at 95% CI. CONCLUSIONS: Medication error reporting system can contribute significantly towards the patient safety when all stakeholders are actively involved. Non-punitive systems need to be enforced strictly without compromising on personnel involved in redundant medication errors. Clinical Pharmacists can provide excellent support in sustaining and promoting patient safety when worked along with other health care professionals.