Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa học đề tài :Correlation between adherence rates measured by MEMS and self-reported questionnaires: a meta-analysis | Shi et al. Health and Quality of Life Outcomes 2010 8 99 http content 8 1 99 HEALTH AND QUALITY of life outcomes RESEARCH Open Access Correlation between adherence rates measured by MEMS and self-reported questionnaires a meta-analysis I c i 1 2I1 no I II I1 l loci I-C II-ICCV a1 2 Philip Ibdp3 A A ICAcol .ilcd . 4 i l .Iioili i P .T .A .icl .ii 4 Liziieng SIH Jinan Liu Vivian Fonseca Philip walker Anupama ixaisekai ividiijiii Pawaskar Abstract Purpose It is vital to understand the associations between the medication event monitoring systems MEMS and self-reported questionnaires SRQs because both are often used to measure medication adherence and can produce different results. In addition the economic implication of using alternative measures is important as the cost of electronic monitoring devices is not covered by insurance while self-reports are the most practical and cost-effective method in the clinical settings. This meta-analysis examined the correlations of two measurements of medication adherence MEMS and SRQs. Methods The literature search 1980-2009 used PubMed OVID MEDLINE PsycINFO EBSCO CINAHL EBSCO OVID HealthStar EMBASE Elsevier and Cochrane Databases. Studies were included if the correlation coefficients Pearson rp or Spearman rs between adherences measured by both MEMS and SRQs were available or could be calculated from other statistics in the articles. Data were independently abstracted in duplicate with standardized protocol and abstraction form including 1 first author s name 2 year of publication 3 disease status of participants 4 sample size 5 mean age year 6 duration of trials month 7 SRQ names if available 8 adherence measured by MEMS 9 adherence measured by SRQ 10 correlation coefficient and relative information including p-value 95 confidence interval CI . A meta-analysis was conducted to pool the correlation coefficients using random-effect model. Results Eleven studies N 1 684 patients met the inclusion criteria. The mean of