Background Medical students in China face severe depression and anxiety because of their difficult circumstances, such as the long length of schooling, academic pressure, and the stress of clinical practice. Although there have been many empirical studies about depression or anxiety in medical students in China, no previous studies have conducted a related systematic review about this topic in English. This analysis can convey the general findings from China to other areas of the world. Methods A systematic review and meta-analysis of depression or anxiety in medical students and related determinants were conducted. Three Chinese and three English databases were searched for the review, with no restrictions on language. Articles published between January 1, 2000 and April 1, 2018 were included. Results Twenty-one articles investigating a total of 35,160 individual Chinese medical students were included in this review. The prevalence of depression ranged from 13.10 to 76.21% with a mean of 32.74%, and the prevalence of anxiety ranged from 8.54 to 88.30% with a mean of 27.22%. Based on the meta-analysis, gender, grade level, residence, satisfaction with current major and monthly household income per capita were significantly associated with depression. Grade level and satisfaction with current major were significantly associated with anxiety. Other risk factors were identified and described using a narrative approach. Conclusion The mean prevalence of depression was 32.74% amongst medical students in China, whereas the mean prevalence of anxiety was 27.22%. The determinants of depression and anxiety included individual factors, social and economic factors, and environmental factors. More measures should be taken towards at-risk medical students based on the identified risk factors. Electronic supplementary material The online version of this article (10.1186/s12909-019-1744-2) contains supplementary material, which is available to authorized users.
ObjectivesChina launched the National Healthcare Improvement Initiative (NHII) in 2015 to improve patient experiences in healthcare. This study aimed to generate evidence of hospital care quality from the patients’ perspective.DesignThis nationwide cross-sectional study interviewed participants from 31 provinces, municipalities and autonomous regions across China.SettingA total of 117 tertiary hospitals in mainland China.Participants48 422 responses from outpatients and 35 957 responses from inpatients were included in this study.Primary outcome measureThe scores of six predefined domains in the Chinese Patient Experience Questionnaire, five of which were designed to reflect specific dimensions of care, and one of which indicated the overall rating.ResultsMore than 80% of the respondents viewed their care experiences as positive. The NHII seems to have had a positive impact, as indicated by the steady, although unremarkable, increase in the patient experience scores over the 2016–2018 period. The Chinese patients generally reported a positive experience with the clinical aspects of care, but reported a less positive experience with the environmental, interpersonal and social services aspects of care. The institutional factors, including region and type of hospital, and personal factors, such as gender, age, education and occupation, were factors affecting the patient experience in China. Humanistic care was the aspect of care with the greatest association with the overall patient experience rating in both the outpatient and inpatient settings.ConclusionsThe national survey indicated an overall positive patient perspective of care in China. Older age, higher education level and formal employment status were found to be correlated with positive care experiences, as were higher levels of economic development of the region, a more generous insurance benefits package and a higher degree of coordinated care. The interpersonal-related initiatives had substantial roles in the improvement of the patient experience. In the regions where farmers and users of traditional Chinese medicine services constitute a greater proportion of the population, improvement of patient experiences for these groups deserves special policy attention.
Rural medical services play an important role in protecting and promoting the health of the rural population; however, patient satisfaction with rural medical services has been understudied in China. A better understanding of the actual situation and the determinants involved will provide evidence for health-related policy makers and hospital managers to further improve rural medical services. A total of 9811 patients (5208 outpatients and 4603 inpatients) were included in this study from a cross-sectional survey conducted in rural hospitals from 11 western provinces in China. Three in five patients (including outpatients and inpatients) were satisfied with rural medical services. The mean overall satisfaction scores were 3.61 ± 0.857 and 3.80 ± 0.829 (out of a maximum of 5) for rural outpatients and inpatients, respectively. The most satisfying domains for outpatients and inpatients were medical service attitude and illness explanation, and waiting time and medical expenses were the domains that outpatients and inpatients were least satisfied with. Satisfaction with medical technology (OR: 1.73; 95% CI: 1.57–1.92) and satisfaction with trust in physicians (OR: 2.05; 95% CI: 1.85–2.28) were identified as the strongest predictors of outpatients’ and inpatients’ overall satisfaction with rural medical services, respectively. This study might shed light on rural medical services management in China.
Background Intestinal infectious diseases (IIDs) have caused numerous deaths worldwide, particularly among children. In China, eight IIDs are listed as notifiable infectious diseases, including cholera, poliomyelitis, dysentery, typhoid and paratyphoid (TAP), viral Hepatitis A, viral Hepatitis E, hand-foot-mouth disease (HFMD) and other infectious diarrhoeal diseases (OIDDs). The aim of the study is to analyse the spatio-temporal distribution of IIDs from 2006 to 2016. Methods Data on the incidence of IIDs from 2006 to 2016 were collected from the public health science data centre issued by the Chinese Center for Disease Control and Prevention. This study applied seasonal decomposition analysis, spatial autocorrelation analysis and space-time scan analysis. Plots and maps were constructed to visualize the spatio-temporal distribution of IIDs. Results Regarding temporal analysis, the incidence of HFMD and Hepatitis E showed a distinct increasing trend, while the incidence of TAP, dysentery, and Hepatitis A presented decreasing trends over the last decade. The incidence of OIID remained steady. Summer is the season with the greatest number of cases of different IIDs. Regarding the spatial distribution, approximately all p values for the global Moran’s I from 2006 to 2016 were less than 0.05, indicating that the incidences of the epidemics were unevenly distributed throughout the country. The high-risk areas for HFMD and OIDD were located in the Beijing-Tianjin-Tangshan (BTT) region and south China. The high-risk areas for TAP were located in some parts of southwest China. A higher incidence rates for dysentery and Hepatitis A were observed in the BTT region and some west provincial units. The high-risk areas for Hepatitis E were the BTT region and the Yangtze River Delta area. Conclusions Based on our temporal and spatial analysis of IIDs, we identified the high-risk periods and clusters of regions for the diseases. HFMD and OIDD exhibited high incidence rates, which reflected the negligence of Class C diseases by the government. At the same time, the incidence rate of Hepatitis E gradually surpassed Hepatitis A. The authorities should pay more attention to Class C diseases and Hepatitis E. Regardless of the various distribution patterns of IIDs, disease-specific, location-specific, and disease-combined interventions should be established. Electronic supplementary material The online version of this article (10.1186/s12879-019-4400-x) contains supplementary material, which is available to authorized users.
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