Akl Elie A, Oxman Andrew D, Herrin Jeph, Vist Gunn E, Terrenato Irene, Sperati Francesca, Costiniuk Cecilia, Blank Diana, Schünemann Holger
Department of Medicine, State University of New York at Buffalo, ECMC CC-142, 462 Grider Street, Buffalo, NY, USA, 14215.
Cochrane Database Syst Rev. 2011 Dec 7(12):CD006777. doi: 10.1002/14651858.CD006777.pub2.
The same information about the evidence on health effects can be framed either in positive words or in negative words. Some research suggests that positive versus negative framing can lead to different decisions, a phenomenon described as the framing effect. Attribute framing is the positive versus negative description of a specific attribute of a single item or a state, for example, "the chance of survival with cancer is 2/3" versus "the chance of mortality with cancer is 1/3". Goal framing is the description of the consequences of performing or not performing an act as a gain versus a loss, for example, "if you undergo a screening test for cancer, your survival will be prolonged" versus "if you don't undergo screening test for cancer, your survival will be shortened".
To evaluate the effects of attribute (positive versus negative) framing and of goal (gain versus loss) framing of the same health information, on understanding, perception of effectiveness, persuasiveness, and behavior of health professionals, policy makers, and consumers.
We searched the Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library, issue 3 2007), MEDLINE (Ovid) (1966 to October 2007), EMBASE (Ovid) (1980 to October 2007), PsycINFO (Ovid) (1887 to October 2007). There were no language restrictions. We reviewed the reference lists of related systematic reviews, included studies and of excluded but closely related studies. We also contacted experts in the field.
We included randomized controlled trials, quasi-randomised controlled trials, and cross-over studies with health professionals, policy makers, and consumers evaluating one of the two types of framing.
Two review authors extracted data in duplicate and independently. We graded the quality of evidence for each outcome using the GRADE approach. We standardized the outcome effects using standardized mean difference (SMD). We stratified the analysis by the type of framing (attribute, goal) and conducted pre-planned subgroup analyses based on the type of message (screening, prevention, and treatment). The primary outcome was behaviour. We did not assess any adverse outcomes.
We included 35 studies involving 16,342 participants (all health consumers) and reporting 51 comparisons.In the context of attribute framing, participants in one included study understood the message better when it was framed negatively than when it was framed positively (1 study; SMD -0.58 (95% confidence interval (CI) -0.94 to -0.22); moderate effect size; low quality evidence). Although positively-framed messages may have led to more positive perception of effectiveness than negatively-framed messages (2 studies; SMD 0.36 (95% CI -0.13 to 0.85); small effect size; low quality evidence), there was little or no difference in persuasiveness (11 studies; SMD 0.07 (95% CI -0.23 to 0.37); low quality evidence) and behavior (1 study; SMD 0.09 (95% CI -0.14 to 0.31); moderate quality evidence).In the context of goal framing, loss messages led to a more positive perception of effectiveness compared to gain messages for screening messages (5 studies; SMD -0.30 (95% CI -0.49 to -0.10); small effect size; moderate quality evidence) and may have been more persuasive for treatment messages (3 studies; SMD -0.50 (95% CI -1.04 to 0.04); moderate effect size; very low quality evidence). There was little or no difference in behavior (16 studies; SMD -0.06 (95% CI -0.15 to 0.03); low quality evidence). No study assessed the effect on understanding.
AUTHORS' CONCLUSIONS: Contrary to commonly held beliefs, the available low to moderate quality evidence suggests that both attribute and goal framing may have little if any consistent effect on health consumers' behaviour. The unexplained heterogeneity between studies suggests the possibility of a framing effect under specific conditions. Future research needs to investigate these conditions.
关于健康影响的证据可以用积极的语言或消极的语言来表述。一些研究表明,积极框架与消极框架可能会导致不同的决策,这种现象被称为框架效应。属性框架是对单个项目或状态的特定属性进行积极与消极的描述,例如,“癌症患者的存活几率为2/3”与“癌症患者的死亡几率为1/3”。目标框架是将执行或不执行某项行为的后果描述为收益与损失,例如,“如果您接受癌症筛查测试,您的生存期将延长”与“如果您不接受癌症筛查测试,您的生存期将缩短”。
评估相同健康信息的属性(积极与消极)框架和目标(收益与损失)框架对健康专业人员、政策制定者和消费者的理解、有效性认知、说服力和行为的影响。
我们检索了Cochrane对照试验中心注册库(CENTRAL,Cochrane图书馆,2007年第3期)、MEDLINE(Ovid)(1966年至2007年10月)、EMBASE(Ovid)(1980年至2007年10月)、PsycINFO(Ovid)(1887年至2007年10月)。没有语言限制。我们查阅了相关系统评价、纳入研究以及排除但密切相关研究的参考文献列表。我们还联系了该领域的专家。
我们纳入了随机对照试验、半随机对照试验以及针对健康专业人员、政策制定者和消费者评估两种框架类型之一的交叉研究。
两位综述作者独立重复提取数据。我们使用GRADE方法对每个结局的证据质量进行分级。我们使用标准化均数差值(SMD)对结局效应进行标准化。我们按框架类型(属性、目标)进行分层分析,并根据信息类型(筛查、预防和治疗)进行预先计划的亚组分析。主要结局是行为。我们未评估任何不良结局。
我们纳入了35项研究,涉及16342名参与者(均为健康消费者),并报告了51项比较。在属性框架的背景下,一项纳入研究中的参与者在信息以消极框架呈现时比以积极框架呈现时理解得更好(1项研究;SMD -0.58(95%置信区间(CI)-0.94至-0.22);中等效应量;低质量证据)。尽管积极框架的信息可能比消极框架的信息导致对有效性的更积极认知(2项研究;SMD 0.36(95% CI -0.13至0.85);小效应量;低质量证据),但在说服力方面几乎没有差异(11项研究;SMD 0.07(95% CI -0.23至0.37);低质量证据)和行为方面(1项研究;SMD 0.09(95% CI -0.14至0.31);中等质量证据)。在目标框架的背景下,与收益信息相比,损失信息在筛查信息方面导致对有效性的更积极认知(5项研究;SMD -0.30(95% CI -0.49至-0.10);小效应量;中等质量证据),并且在治疗信息方面可能更具说服力(3项研究;SMD -0.50(95% CI -1.04至0.04);中等效应量;极低质量证据)。在行为方面几乎没有差异(16项研究;SMD -0.06(95% CI -0.15至0.03);低质量证据)。没有研究评估对理解的影响。
与普遍看法相反,现有低至中等质量的证据表明,属性框架和目标框架对健康消费者的行为可能几乎没有一致的影响。研究之间无法解释的异质性表明在特定条件下可能存在框架效应。未来的研究需要调查这些条件。