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首页> 外文期刊>BMC Medical Informatics and Decision Making >Exploring the relationship between patients’ information preference style and knowledge acquisition process in a computerized patient decision aid randomized controlled trial
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Exploring the relationship between patients’ information preference style and knowledge acquisition process in a computerized patient decision aid randomized controlled trial

机译:在计算机化的患者决策辅助随机对照试验中探索患者信息偏好风格与知识获取过程之间的关系

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Background We have shown in a randomized controlled trial that a computerized patient decision aid (P-DA) improves medical knowledge and reduces decisional conflict, in early stage papillary thyroid cancer patients considering adjuvant radioactive iodine treatment. Our objectives were to examine the relationship between participants’ baseline information preference style and the following: 1) quantity of detailed information obtained within the P-DA, and 2) medical knowledge. Methods We randomized participants to exposure to a one-time viewing of a computerized P-DA (with usual care) or usual care alone. In pre-planned secondary analyses, we examined the relationship between information preference style (Miller Behavioural Style Scale, including respective monitoring [information seeking preference] and blunting [information avoidance preference] subscale scores) and the following: 1) the quantity of detailed information obtained from the P-DA (number of supplemental information clicks), and 2) medical knowledge. Spearman correlation values were calculated to quantify relationships, in the entire study population and respective study arms. Results In the 37 P-DA users, high monitoring information preference was moderately positively correlated with higher frequency of detailed information acquisition in the P-DA (r?=?0.414, p?=?0.011). The monitoring subscale score weakly correlated with increased medical knowledge in the entire study population (r?=?0.268, p?=?0.021, N?=?74), but not in the respective study arms. There were no significant associations with the blunting subscale score. Conclusions Individual variability in information preferences may affect the process of information acquisition from computerized P-DA’s. More research is needed to understand how individual information preferences may impact medical knowledge acquisition and decision-making.
机译:背景技术我们在一项随机对照试验中显示,在考虑辅助放射碘治疗的早期甲状腺乳头状甲状腺癌患者中,计算机化患者决策辅助工具(P-DA)可改善医学知识并减少决策冲突。我们的目标是检查参与者的基线信息偏好风格与以下各项之间的关系:1)在P-DA中获得的大量详细信息,以及2)医学知识。方法我们将参与者随机分为一次,一次接受计算机化P-DA(常规护理)或单独常规护理。在预先计划的二次分析中,我们检查了信息偏好样式(米勒行为风格量表,包括相应的监测[信息寻求偏好]和钝化[信息回避偏好]子量表得分)之间的关系:1)详细信息量从P-DA(补充信息点击次数)获得的信息,以及2)医学知识。计算Spearman相关值以量化整个研究人群和各个研究组中的关系。结果在37个P-DA用户中,较高的监视信息偏好与P-DA中较高的详细信息获取频率呈正相关(r = 0.414,p = 0.011)。在整个研究人群中,监测子量表得分与医学知识的增加呈弱关联(r = 0.268,p = 0.012,N = 74),但在各个研究领域却没有。钝化量表得分与明显无相关性。结论信息偏好的个体差异可能会影响从计算机化P-DA获取信息的过程。需要更多的研究来了解个人信息偏好可能如何影响医学知识的获取和决策。

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