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

IF 1.3 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Methods of Information in Medicine Pub Date : 2021-06-01 Epub Date: 2021-07-09 DOI:10.1055/s-0041-1730284
Michael Glöggler, Elske Ammenwerth
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引用次数: 3

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.

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基于患者参与特征的患者门户有用分类的开发和验证。
目的:分类法是用于降低复杂性和更好地理解一个领域的分类系统。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,分类法应该有助于理解门户的异同。此外,分类法应支持健康信息管理人员更容易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:采用Nickerson等人提出的形式化分类法。在文献综述的基础上,我们根据模型的概念方法创建了一个初步的分类法。然后,我们通过分析和分类软件供应商提供的17个患者门户和医疗保健提供者提供的11个患者门户来评估每个分类群的适宜性。每次迭代后,我们检查确定的客观和主观结束条件的实现情况。结果:经过两种概念方法的建立和两种实证方法的评价,最终的分类由20个维度和49个特征组成。为了使分类易于理解,我们将与患者参与相关的七个方面分配给维度。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)自决,以及(7)数据管理。在满足之前定义的所有结束条件之后,分类法被认为是完成的和有用的。我们证明了分类法可以通过比较患者门户来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:我们开发了第一个有用的分类法,供健康信息管理人员对患者门户进行分类和比较。该分类是基于促进患者参与的特征。我们的分类法有20个维度和49个特征,特别适合区分患者门户,并且可以很容易地应用于比较门户。TOPCOP分类法使健康信息管理人员能够更好地理解患者门户的异同。此外,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网站,以选择最合适的解决方案。
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来源期刊
Methods of Information in Medicine
Methods of Information in Medicine 医学-计算机:信息系统
CiteScore
3.70
自引率
11.80%
发文量
33
审稿时长
6-12 weeks
期刊介绍: Good medicine and good healthcare demand good information. Since the journal''s founding in 1962, Methods of Information in Medicine has stressed the methodology and scientific fundamentals of organizing, representing and analyzing data, information and knowledge in biomedicine and health care. Covering publications in the fields of biomedical and health informatics, medical biometry, and epidemiology, the journal publishes original papers, reviews, reports, opinion papers, editorials, and letters to the editor. From time to time, the journal publishes articles on particular focus themes as part of a journal''s issue.
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