Objects The center of Evidence Based Medicine (EBM) in China has organized several extra-curricular trainings in summer vacations for medical students, so as to enable them get involved in the practice of Evidence Based Medicine, we were wondering whether these training courses served as an effective supplement to EBM education in class and what it exactly brought to us, with a primary concern about research capability in field of EBM. Methods We conducted questionnaire survey with undergraduate students whose enrolling years range from 2001 to 2005 in West China Medical School of Sichuan University, and divided them into a stratification of five groups according to enrolling years. Then we paired the trained students with untrained ones at a ratio of 1׃2. The final number of included students was 216, of which 72 had been trained while other 144 had not. Epidata 3.0, Excel and SPSS 13.0 were used for data collecting and analyzing, respectively. Chi-square test was adopted for result interpretation. Results Compared to those without training experience, trained students were prone to choose medical specialized databases (Plt;0.05) when they search for some academic publications. In terms of selecting and quality evaluation, the trained were more dependent on systematic reviews (Plt;0.05). Meanwhile, they also showed critical thinking more than that of untrained (Plt;0.05). In addition, the fruit of published theses was in favor of those trained ones. Conclusions Those who have taken part in extra-curricular training of EBM surpass those untrained in ability of scientific research. To some extent, we are still in shortage of educational resources; this extra-curricular training course can play a complementary role for EBM education, as effective and necessary.
ObjectiveTo understand the distribution of demographic sociological characteristics and co-morbidities among primiparous and multiparous pregnant women under the China's universal two-child policy, to provide baseline data for clinical high-risk management and medical resources allocation.MethodsWe included pregnant women from 24 hospitals in 16 provinces (municipality, autonomous region) of China and collected their demographic sociological characteristics and obstetrics information by questionnaires between September 19th, and November 20th, 2016. Then, we used descriptive analysis to present the distribution of demographic sociological characteristics and pregnancy co-morbidities among primiparous and multiparous women and compared differences between groups by t test or Chi-square test.ResultsAmong 12 403 investigated pregnant women, 8 268 (66.7%) were primiparous and 4 135 (33.3%) were multiparous, with highest proportion in East (931/2 008, 46.4%) and lowest in Northeast (385/2 179, 17.7%). Multiparous women, comparing to primiparous women, were more likely to be elderly than 35 years (accounting for 30.6% vs. 6.5%), lower educated with high school or below (29.7% vs. 16.9%), occupied in physical labor or unemployed (49.2% vs. 42.5%), non-local residents (12.7% vs. 10.5%), family annual income higher than 120 thousand yuan (41.3% vs. 33.3%), pre-pregnancy body mass index≥24 kg/m2 (13.6% vs. 9.9%), history of artificial abortions (44.9% vs. 24.0%), or pregnancies≥4 times (23.8% vs. 3.1%) and were less likely to receive assisted reproductive technology (2.3% vs. 4.7%). The most common co-morbidities were gynecology disease (5.5%), thyroid disease (5.4% in all women), blood system disease (5.0%), digestive system disease (4.2%) and hepatitis B infection (2.5%). Multiparous women, comparing to primiparous women, had higher proportions with blood system disease (5.7% vs. 4.7%), hepatitis B infection (3.1% vs. 2.2%) and chronic hypertension (0.6% vs. 0.2%), but lower proportions with thyroid diseases, polycystic ovary syndrome, and immune system diseases, whose distribution also showed regional differences.ConclusionThere existed distribution differences regarding demographic sociological characteristics and co-morbidities proportions between primiparous and multiparous women. Therefore, we should improve clinical risk management and medical resources allocation based on pregnant women’s baseline and gestational characteristics.