...
首页> 外文期刊>BMC Medical Informatics and Decision Making >Patient decision aids: a content analysis based on a decision tree structure
【24h】

Patient decision aids: a content analysis based on a decision tree structure

机译:患者决策辅助工具:基于决策树结构的内容分析

获取原文
           

摘要

This paper presents the preliminary results of a decision-tree analysis of Patient Decision Aids (PDA). PDAs are online or offline tools used to structure health information, elicit relevant values and emphasize the decision as a process, in ways that help patients make more informed health decisions individually or with relevant others. Twenty PDAs are randomly selected from the International Patient Decision Aids Standards (IPDAS) ( https://decisionaid.ohri.ca/AZlist.html ) approved list. An evaluation tool is built bottom-up and top-down and results are described in terms of communicating uncertainty, completeness of the decision tree, ambiguous or misleading phrasing, overall strategies suggested within personal stories. Twelve of the analyzed PDAs had branches of the decision tree which were not discussed in the tool and 6 had logically ambiguous phrasing. Many tools included dichotomous options, when the option range was wider. Several options were clustered within the “Do not take/Do not do” option and thus the PDA failed to provide all comparisons necessary to make a decision. Some tools employ expressions that do not differentiate between lack of information and known negative effects. Other tools provide unequal amounts or non-comparable bits of information about the options. These results indicate a very loose range of interpretations of what constitutes an option, a treatment, and a treatment option. It thus emphasizes a gap between theory and practice in the evaluation of PDAs. Future developments of PDA evaluation tools should keep track of missing decision tree branches, accurate communication of uncertainty, ambiguity, and lack of knowledge and consider using measures for evaluating the completeness of the option spectrum at an agreed period in time.
机译:本文介绍了患者决策辅助系统(PDA)的决策树分析的初步结果。 PDA是在线或离线工具,用于构造健康信息,获得相关价值并强调决策过程,以帮助患者单独或与其他相关人一起做出更明智的健康决策。从国际患者决策辅助标准(IPDAS)(https://decisionaid.ohri.ca/AZlist.html)批准的列表中随机选择二十个PDA。建立了自下而上和自上而下的评估工具,并根据沟通的不确定性,决策树的完整性,模棱两可或误导性的措词以及个人故事中建议的整体策略来描述结果。被分析的PDA中有十二个具有决策树的分支,该分支未在工具中讨论,而六个则具有逻辑上的歧义。许多工具包括二元选择,当选择范围为宽。 “不接受/不接受”选项中包含多个选项,因此PDA无法提供做出决定所需的所有比较。一些工具使用的表达式无法区分信息不足和已知的负面影响。其他工具提供了关于期权的不相等数量或不可比的信息。这些结果表明,对构成选项,治疗方法和治疗选项的解释范围非常宽松。因此,它强调了PDA评估中理论与实践之间的差距。 PDA评估工具的未来发展应跟踪丢失的决策树分支,准确传达不确定性,歧义性和知识不足,并考虑在约定的时间段内使用措施评估期权频谱的完整性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号