Men's interpretations of graphical information in a videotape decision aid.

Men's interpretations of graphical information in a videotape decision aid.
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男性对录像带决策辅助中的图形信息的解释。

DOI:
10.1111/j.1369-7625.2007.00443.x
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发表时间:
2007
期刊:
Health expectations : an international journal of public participation in health care and health policy
影响因子:
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通讯作者:
Holmes-Rovner,Margaret
Holmes-Rovner,Margaret
中科院分区:
--
文献类型:
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作者:
Pylar,Jan;Wills,CeliaE;Lillie,Janet;Rovner,DavidR;Kelly-Blake,Karen;Holmes-Rovner,Margaret

文献摘要

相似文献

目的 检查男性对在高质量、先前测试的录像带决策辅助 (DA) 中观看的图形信息类型的解释。设置、参与者、设计在观看录像带 DA 后,对按教育程度(大学/非大学)和种族(黑人/白人)进行平衡的 50 岁以上男性 (N=188) 的社区居住样本进行采访。采用描述性研究设计来检查男性对良性前列腺增生录像带 DA 中显示的图表类型的代表性样本的解释。研究的主要变量男性提供了他们对以三种复杂程度不同的格式呈现的图表信息的解释:象形图、线条图和水平条形图。男性反应的录音带记录被编码为含义和内容相关的解释陈述。结果男性提供了对图表的含义和内容的解释。解释的准确性低于文献综述的假设(象形图为 85.4%,折线图为 65.7%,水平条形图为 47.8%)。象形图和折线图的准确性与教育水平相关,分别为 = 3.94,P= 0.047,和 = 7.55,P= 0.006。准确性与男性报告的对图表的喜好不相关, = 2.00,P= 0.441。结论虽然男性普遍喜欢 DA,但图表解释的准确性与格式复杂性和教育水平相关。通常建议使用图表来提高对 DA 中信息的理解。然而,在实验和自然观察环境中需要进行额外的评估,以制定数据表示的最佳实践标准。
ObjectiveTo examine men's interpretations of graphical information types viewed in a high‐quality, previously tested videotape decision aid (DA).Setting, participants, designA community‐dwelling sample of men >50 years of age (N= 188) balanced by education (college/non‐college) and race (Black/White) were interviewed just following their viewing of a videotape DA. A descriptive study design was used to examine men's interpretations of a representative sample of the types of graphs that were shown in the benign prostatic hyperplasia videotape DA.Main variables studiedMen provided their interpretation of graphs information presented in three formats that varied in complexity: pictograph, line and horizontal bar graph. Audiotape transcripts of men's responses were coded for meaning and content‐related interpretation statements.ResultsMen provided both meaning and content‐focused interpretations of the graphs. Accuracy of interpretation was lower than hypothesized on the basis of literature review (85.4% for pictograph, 65.7% for line graph, 47.8% for horizontal bar graph). Accuracy for pictograph and line graphs was associated with education level,  = 3.94,P= 0.047, and  = 7.55,P= 0.006, respectively. Accuracy was uncorrelated with men's reported liking of the graphs,  = 2.00,P= 0.441.ConclusionWhile men generally liked the DA, accuracy of graphs interpretation was associated with format complexity and education level. Graphs are often recommended to improve comprehension of information in DAs. However, additional evaluation is needed in experimental and naturalistic observational settings to develop best practice standards for data representation.