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开发支持个性化医疗的交互式赋权服务。

Development of interactive empowerment services in support of personalised medicine.

作者信息

Kondylakis Haridimos, Kazantzaki Eleni, Koumakis Lefteris, Genitsaridi Irini, Marias Kostas, Gorini Alessandra, Mazzocco Ketti, Pravettoni Gabriella, Burke Danny, McVie Gordon, Tsiknakis Manolis

机构信息

Computational Medicine Laboratory, FORTH-ICS, Heraklio, Crete GR-71110, Greece.

Department of Decision Sciences, Bocconi University, Milan 20136, Italy and Cancer Intelligence Ltd, 154 Cheltenham Road, Bristol, BS6 5RL, UK.

出版信息

Ecancermedicalscience. 2014 Feb 11;8:400. doi: 10.3332/ecancer.2014.400. eCollection 2014.

Abstract

In an epoch where shared decision making is gaining importance, a patient's commitment to and knowledge about his/her health condition is becoming more and more relevant. Health literacy is one of the most important factors in enhancing the involvement of patients in their care. Nevertheless, other factors can impair patient processing and understanding of health information: psychological aspects and cognitive style may affect the way patients approach, select, and retain information. This paper describes the development and validation of a short and easy to fill-out questionnaire that measures and collects psycho-cognitive information about patients, named ALGA-C. ALGA-C is a multilingual, multidevice instrument, and its validation was carried out in healthy people and breast cancer patients. In addition to the aforementioned questionnaire, a patient profiling mechanism has also been developed. The ALGA-C Profiler enables physicians to rapidly inspect each patient's individual cognitive profile and see at a glance the areas of concern. With this tool, doctors can modulate the language, vocabulary, and content of subsequent discussions with the patient, thus enabling easier understanding by the patient. This, in turn, helps the patient formulate questions and participate on an equal footing in the decision-making processes. Finally, a preview is given on the techniques under consideration for exploiting the constructed patient profile by a personal health record (PHR). Predefined rules will use a patient's profile to personalise the contents of the information presented and to customise ways in which users complete their tasks in a PHR system. This optimises information delivery to patients and makes it easier for the patient to decide what is of interest to him/her at the moment.

摘要

在一个共同决策日益重要的时代,患者对自身健康状况的认知和投入变得越来越重要。健康素养是提高患者参与自身护理的最重要因素之一。然而,其他因素可能会影响患者对健康信息的处理和理解:心理因素和认知风格可能会影响患者获取、选择和保留信息的方式。本文介绍了一种简短且易于填写的问卷的开发和验证过程,该问卷用于测量和收集患者的心理认知信息,名为ALGA-C。ALGA-C是一种多语言、多设备工具,其验证在健康人群和乳腺癌患者中进行。除了上述问卷外,还开发了一种患者概况分析机制。ALGA-C Profiler使医生能够快速查看每个患者的个人认知概况,并一眼看出需要关注的领域。借助这个工具,医生可以调整与患者后续讨论的语言、词汇和内容,从而使患者更容易理解。这反过来又有助于患者提出问题并平等参与决策过程。最后,对正在考虑的通过个人健康记录(PHR)利用构建的患者概况的技术进行了预览。预定义规则将使用患者概况来个性化所呈现信息的内容,并定制用户在PHR系统中完成任务的方式。这优化了向患者提供的信息,并使患者更容易决定当前对他/她感兴趣的内容。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a5/3922652/1a36f0d45d87/can-8-400fig1.jpg

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