文章基本信息

标题：Patient-reported outcomes in meta-analyses -Part 2: methods for improving interpretability for decision-makers
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作者：Bradley C Johnston ; Donald L Patrick ; Kristian Thorlund 等
期刊名称：Health and Quality of Life Outcomes
印刷版ISSN：1477-7525
电子版ISSN：1477-7525
出版年度：2013
卷号：11
期号：1
页码：211
DOI：10.1186/1477-7525-11-211
语种：English
出版社：BioMed Central
摘要：Systematic reviews and meta-analyses of randomized trials that include patient-reported outcomes (PROs) often provide crucial information for patients, clinicians and policy-makers facing challenging health care decisions. Based on emerging methods, guidance on improving the interpretability of meta-analysis of patient-reported outcomes, typically continuous in nature, is likely to enhance decision-making. The objective of this paper is to summarize approaches to enhancing the interpretability of pooled estimates of PROs in meta-analyses. When differences in PROs between groups are statistically significant, decision-makers must be able to interpret the magnitude of effect. This is challenging when, as is often the case, clinical trial investigators use different measurement instruments for the same construct within and between individual randomized trials. For such cases, in addition to pooling results as a standardized mean difference, we recommend that systematic review authors use other methods to present results such as relative (relative risk, odds ratio) or absolute (risk difference) dichotomized treatment effects, complimented by presentation in either: natural units (e.g. overall depression reduced by 2.4 points when measured on a 50-point Hamilton Rating Scale for Depression); minimal important difference units (e.g. where 1.0 unit represents the smallest difference in depression that patients, on average, perceive as important the depression score was 0.38 (95% CI 0.30 to 0.47) units less than the control group); or a ratio of means (e.g. where the mean in the treatment group is divided by the mean in the control group, the ratio of means is 1.27, representing a 27% relative reduction in the mean depression score).
关键词：Standardize Mean Difference ; Standard Deviation Unit ; Montgomery Asberg Depression Rate Scale ; Standard Deviation Ratio ; Chronic Respiratory Questionnaire