ObjectiveTo investigate the reporting and methodological quality of systematic reviews/ meta-analyses conducted by hospital pharmacists in China, so as to improve the quality of systematic reviews/ meta-analyses in this field. MethodsThe literatures were retrieved from CNKI, WanFang Data, VIP, CBM, CMCI, PubMed, EMbase, The Cochrane Library from the establishment date to March 17th, 2016. According to the inclusive and exclusive criteria, authors independently screened and extracted the published information. Reporting and methodological quality of included reviews were evaluated by PRIMSA statements and AMSTAR checklists. Data analysis was conducted by using Excel 2013 software and SPSS 20.0 software. ResultsOne thousand and eighteen systematic reviews/ meta-analyses were included, including 871 Chinese literatures and 147 English literatures. The average score of PRIMSA was 18.41±2.84, and the average score of AMSTAR was 7.38±1.28. The main problems of PRIMSA were structured summary, objectives, protocol and registration, additional analyses and funding. The main problems of AMSTAR were priori design, status of publication and list of studies (included and excluded). Univariate analysis showed that some factors could improve the quality of methodology and reporting, including studies in English (P<0.000 1), published after checklists' (P<0.000 1), hospital in higher-level (P<0.000 1), illuminating the funding or interest conflict (P<0.000 1). Pearson analysis indicated that linear correlation were detected between PRISMA scores and AMSTAR scores (P<0.000 1), as well as citations and AMSTAR scores (P=0.045). ConclusionEvidenced-based pharmacy in hospital has developed rapidly, the quality of methodology and reporting have increaseed year by year, but further improvement should be considered in different aspects. The methods to evaluate the clinical application of these systematic reviews/ meta-analyses should be developed in the future.
Objective To analyze the causes of drug dispensing errors and reduce the error rate through scientific precautions, and improve the quality of pharmaceutical service. Methods According to the PDCA cycle, existing problems were found in dispensing between January and June 2013, and the causes were analyzed. Then, from July 2013, strategies were developed to decrease the dispensing error rate. The variation trend of dispensing error rate from January 2013 to June 2017 were observed. Result The dispensing error rate decreased since the beginning of PDCA cycle, from 0.042‰ (the first quarter of 2013) to 0.003‰ (the second quarter of 2017). Conclusion The PDCA cycle is an effective intervention to detect the errors during drug delivery in inpatient pharmacy, which could improve the quality of pharmaceutical service and insure the patients’ safety.