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首页> 外文期刊>BMC Medical Informatics and Decision Making >Use of a quantitative data report in a hypothetical decision scenario for health policymaking: a computer-assisted laboratory study
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Use of a quantitative data report in a hypothetical decision scenario for health policymaking: a computer-assisted laboratory study

机译：在假设的决策方案中使用定量数据报告进行健康决策方案：计算机辅助实验室研究

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Quantitative data reports are widely produced to inform health policy decisions. Policymakers are expected to critically assess provided information in order to incorporate the best available evidence into the decision-making process. Many other factors are known to influence this process, but little is known about how quantitative data reports are actually read. We explored the reading behavior of (future) health policy decision-makers, using innovative methods. We conducted a computer-assisted laboratory study, involving starting and advanced students in medicine and health sciences, and professionals as participants. They read a quantitative data report to inform a decision on the use of resources for long-term care in dementia in a hypothetical decision scenario. Data were collected through eye-tracking, questionnaires, and a brief interview. Eye-tracking data were used to generate ‘heatmaps’ and five measures of reading behavior. The questionnaires provided participants’ perceptions of understandability and helpfulness as well as individual characteristics. Interviews documented reasons for attention to specific report sections. The quantitative analysis was largely descriptive, complemented by Pearson correlations. Interviews were analyzed by qualitative content analysis. In total, 46 individuals participated [students (85%), professionals (15%)]. Eye-tracking observations showed that the participants spent equal time and attention for most parts of the presented report, but were less focused when reading the methods section. The qualitative content analysis identified 29 reasons for attention to a report section related to four topics. Eye-tracking measures were largely unrelated to participants’ perceptions of understandability and helpfulness of the report. Eye-tracking data added information on reading behaviors that were not captured by questionnaires or interviews with health decision-makers.
机译：广泛生产的量化数据报告以提供卫生政策决策。预计政策制定者将批判性地评估提供的信息，以便将最佳可用证据纳入决策过程中。已知许多其他因素会影响该过程，但是关于如何如何读取定量数据报告。我们探讨了使用创新方法的（未来）健康政策决策者的阅读行为。我们进行了一项计算机辅助实验室研究，涉及医学和健康科学的开始和高级学生，以及作为参与者的专业人士。他们阅读了定量数据报告，以便在一个假设的决策情景中向痴呆症中长期护理使用资源的决定。通过眼跟踪，问卷和简要访谈收集数据。眼睛跟踪数据用于生成“热插拔”和五种读取行为的措施。问卷提供了参与者对可辨与性和乐于助人的看法以及个人特征。采访记录了注意具体报告部分的原因。定量分析在很大程度上是描述性的，由Pearson相关性补充。通过定性内容分析分析了访谈。共有46人参加[学生（85％），专业人士（15％）]。眼跟踪观察表明，参与者在呈现报告的大多数部分时花费了同等的时间和注意力，但在阅读方法部分时较少集中。定性内容分析确定了有关四个主题相关报告部分的29个理由。眼睛跟踪措施与参与者对报告的可理解性和乐于助人的看法很不相关。眼跟踪数据增加了有关读取行为的信息，这些行为未被调查问卷或与健康决策者进行访谈。

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