Hajebrahimi Mehdi, Langarizadeh Mostafa, Nikseresht Alireza
Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Department of Knowledge and Information Science, School of Education and Psychology, Shiraz University, Shiraz, Iran.
J Educ Health Promot. 2024 Oct 28;13:389. doi: 10.4103/jehp.jehp_1180_23. eCollection 2024.
The primary requirement for a capable patient health record (PHR) that can interact appropriately with the family medicine system and collect and share qualified data is a minimum data set (MDS) aligned with family medicine's functions and goals. The aim of this research was to determine the MDS for a blockchain-based PHR system that can effectively interact with family medicine providers and collect and share qualified data. This MDS is intended to be applicable to all members of the community covered by family medicine.
This applied study was conducted in 2022 in a cross-sectional and descriptive approach in three phases. In the first phase, a content analysis related to the research objectives was conducted in scientific databases, search engines, and websites of the centers and scientific research organizations with publications and policy-making in this field. Consequently, 11 studies were selected for use in the second and third phases. In the second phase, to determine information needs, a researcher-developed questionnaire including 17 classes was given to 50 people under the cover of the family medicine plan in Shiraz city. By choosing one of the two options "Yes" or "No" by them, the necessary data classes were determined. In the third phase, the second researcher-developed questionnaire was designed and administered to 100 family physicians in Shiraz city. This questionnaire included the data elements corresponding to the data classes approved in the previous phase. The family physicians were asked to rate the importance of each data element using a Likert scale with five options, ranging from "very unimportant" to "very important." The necessary data elements were determined based on these scores.
In the first questionnaire, 16 of the 17 data classes received approval from individuals covered by the family medicine plan. Consequently, a questionnaire comprising 16 classes and 105 data elements was administered to the family physicians. Ultimately, the MDS was determined to include 16 classes and 72 data elements.
Determining essential data elements, especially for patient/physician interaction in family medicine, should be such that they can be managed by the person while being comprehensive and providing sufficient help to the physician during the treatment process. This MDS can be used to interact with and refer PHRs to other physicians and specialists, as well as help interoperability between the PHR and other health systems, such as hospital information systems (HIS) and electronic health records (EHRs).
一个能够与家庭医疗系统进行适当交互并收集和共享合格数据的有效患者健康记录（PHR）的首要要求是有一个与家庭医疗功能和目标相一致的最小数据集（MDS）。本研究的目的是确定一个基于区块链的PHR系统的MDS，该系统能够与家庭医疗服务提供者有效交互并收集和共享合格数据。这个MDS旨在适用于家庭医疗覆盖的社区的所有成员。
本应用研究于2022年采用横断面和描述性方法分三个阶段进行。在第一阶段，在科学数据库、搜索引擎以及该领域有出版物和政策制定的中心及科研组织的网站上，针对研究目标进行了内容分析。因此，选择了11项研究用于第二和第三阶段。在第二阶段，为确定信息需求，向设拉子市家庭医疗计划覆盖下的50人发放了一份由研究人员编制的包含17个类别的问卷。通过他们选择“是”或“否”这两个选项之一，确定了必要的数据类别。在第三阶段，设计并向设拉子市的100名家庭医生发放了由研究人员编制的第二份问卷。这份问卷包含了与上一阶段批准的数据类别相对应的数据元素。要求家庭医生使用从“非常不重要”到“非常重要”的五个选项的李克特量表对每个数据元素的重要性进行评分。根据这些分数确定了必要的数据元素。
在第一份问卷中，17个数据类别中的16个得到了家庭医疗计划覆盖人群的认可。因此，向家庭医生发放了一份包含16个类别和105个数据元素的问卷。最终，确定MDS包括16个类别和72个数据元素。
确定基本数据元素，尤其是家庭医疗中患者/医生交互方面的基本数据元素时，应使其既能由个人管理，又具有全面性，并在治疗过程中为医生提供足够帮助。这个MDS可用于与其他医生和专家交互并转诊PHR，还能帮助PHR与其他医疗系统（如医院信息系统（HIS）和电子健康记录（EHR））实现互操作性。
