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基于患者参与特征的患者门户有用分类法的开发和验证。

Development and Validation of a Useful Taxonomy of Patient Portals Based on Characteristics of Patient Engagement.

机构信息

Institute of Medical Informatics, UMIT-Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.

出版信息

Methods Inf Med. 2021 Jun;60(S 01):e44-e55. doi: 10.1055/s-0041-1730284. Epub 2021 Jul 9.

Abstract

OBJECTIVE

Taxonomies are classification systems used to reduce complexity and better understand a domain. The present research aims to develop a useful taxonomy for health information managers to classify and compare patient portals based on characteristics appropriate to promote patient engagement. As a result, the taxonomy should contribute to understanding the differences and similarities of the portals. Further, the taxonomy shall support health information managers to more easily define which general type and functionalities of patient portals they need and to select the most suitable solution offered on the market.

METHODS

We followed the formal taxonomy-building method proposed by Nickerson et al. Based on a literature review, we created a preliminary taxonomy following the conceptional approach of the model. We then evaluated each taxa's appropriateness by analyzing and classifying 17 patient portals offered by software vendors and 11 patient portals offered by health care providers. After each iteration, we examined the achievement of the determined objective and subjective ending conditions.

RESULTS

After two conceptional approaches to create our taxonomy, and two empirical approaches to evaluate it, the final taxonomy consists of 20 dimensions and 49 characteristics. To make the taxonomy easy to comprehend, we assigned to the dimensions seven aspects related to patient engagement. These aspects are (1) portal design, (2) management, (3) communication, (4) instruction, (5) self-management, (6) self-determination, and (7) data management. The taxonomy is considered finished and useful after all ending conditions that defined beforehand have been fulfilled. We demonstrated that the taxonomy serves to understand the differences and similarities by comparing patient portals. We call our taxonomy "Taxonomy of Patient Portals based on Characteristics of Patient Engagement (TOPCOP)."

CONCLUSION

We developed the first useful taxonomy for health information managers to classify and compare patient portals. The taxonomy is based on characteristics promoting patient engagement. With 20 dimensions and 49 characteristics, our taxonomy is particularly suitable to discriminate among patient portals and can easily be applied to compare portals. The TOPCOP taxonomy enables health information managers to better understand the differences and similarities of patient portals. Further, the taxonomy may help them to define the type and general functionalities needed. But it also supports them in searching and comparing patient portals offered on the market to select the most suitable solution.

摘要

目的

分类法是一种用于降低复杂性和更好地理解某个领域的分类系统。本研究旨在为健康信息管理者开发一种有用的分类法,以便根据适合促进患者参与的特征对患者门户进行分类和比较。因此,该分类法应有助于理解门户之间的差异和相似之处。此外,该分类法应支持健康信息管理者更轻松地定义他们需要的患者门户的一般类型和功能,并选择市场上提供的最合适的解决方案。

方法

我们遵循了 Nickerson 等人提出的正式分类法构建方法。基于文献回顾,我们按照模型的概念方法创建了初步分类法。然后,我们通过分析和分类 17 个由软件供应商提供的患者门户和 11 个由医疗保健提供者提供的患者门户,评估了每个分类的适当性。在每次迭代之后,我们检查了确定的目标和主观结束条件的实现情况。

结果

在进行了两次概念方法创建我们的分类法和两次经验方法评估之后,最终的分类法由 20 个维度和 49 个特征组成。为了使分类法易于理解,我们将维度分配给与患者参与相关的七个方面。这些方面是(1)门户设计,(2)管理,(3)沟通,(4)指导,(5)自我管理,(6)自我决定,和(7)数据管理。在满足事先定义的所有结束条件后,分类法被认为是完成且有用的。我们通过比较患者门户证明了分类法可用于理解差异和相似之处。我们称我们的分类法为“基于患者参与特征的患者门户分类法(TOPCOP)”。

结论

我们为健康信息管理者开发了第一个用于对患者门户进行分类和比较的有用分类法。该分类法基于促进患者参与的特征。我们的分类法具有 20 个维度和 49 个特征,特别适合区分患者门户,并且可以轻松应用于比较门户。TOPCOP 分类法使健康信息管理者能够更好地理解患者门户的差异和相似之处。此外,该分类法可以帮助他们定义所需的类型和一般功能。但它也支持他们搜索和比较市场上提供的患者门户,以选择最合适的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/8294937/a1d449b5feb6/10-1055-s-0041-1730284-i20010159-1.jpg

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