Minimum Data Set of Personal Health Record (PHR) for Patients with Chronic Respiratory Diseases

H. Emami, Azamossadat Hosseini, S. Paydar
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引用次数: 1

Abstract

Introduction: Chronic respiratory diseases are one of the four main groups of non-communicable diseases. People with these diseases need access to data to manage their disease and care plan. Personal health record (PHR) as a powerful health information technology tool can empower chronic patients to better manage their health status and become an active member of health care teams. This study is to determine the minimum data set (MDS) in personal health record for patients with chronic respiratory diseases.Materials and Method: This present applied research was done descriptively by Delphi method. First, the data sets of chronic respiratory diseases were extracted using a literature review. Then, using a researcher-made questionnaire and based on Delphi technique in two phases, it was evaluated by 5 pulmonologists.Results: The PHR data set for chronic respiratory diseases was classified into six categories, including physical examination and clinical observation, laboratory data, medications, specialized treatments, diagnostic procedures and vaccination. The 33 data element were identified as the main data elements with an agreement of more than 80% in the first phase of Delphi technique. Also, in the second phase, the four data elements proposed by the experts in the first phase were agreed upon above 80%.Conclusion: Given the role of PHR data in tracking the progress of chronic diseases, treating, and teamwork by physicians and other care providers, determining the minimum data set will be an effective step toward integrating and improving information management in these patients.
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慢性呼吸道疾病患者个人健康记录(PHR)的最小数据集
慢性呼吸道疾病是非传染性疾病的四大类之一。患有这些疾病的人需要获得数据来管理他们的疾病和护理计划。个人健康记录(PHR)作为一种强大的健康信息技术工具,可以使慢性病患者更好地管理自己的健康状况,并成为医疗保健团队的积极成员。本研究旨在确定慢性呼吸系统疾病患者个人健康记录的最小数据集(MDS)。材料与方法:本研究采用德尔菲法进行描述性研究。首先,通过文献综述提取慢性呼吸系统疾病的数据集。然后,采用研究者自行制作的问卷,采用德尔菲法分两阶段对5名肺科医师进行评价。结果:慢性呼吸系统疾病PHR数据集分为6类,包括体格检查和临床观察、实验室资料、药物、专科治疗、诊断程序和疫苗接种。在德尔菲技术的第一阶段,33个数据元素被确定为主要数据元素,一致性超过80%。此外,在第二阶段,第一阶段专家提出的四个数据要素的商定率在80%以上。结论:鉴于PHR数据在跟踪慢性疾病的进展、治疗以及医生和其他护理提供者的团队合作方面的作用,确定最小数据集将是整合和改善这些患者信息管理的有效步骤。
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