Moulaei Khadijeh, Bahaadinbeigy Kambiz, Mazhari Shahrzad
Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.
J Educ Health Promot. 2022 Jun 11;11:147. doi: 10.4103/jehp.jehp_971_21. eCollection 2022.
Bipolar disorder (BD) is one of the most challenging psychiatric disorders in the management area that can lead to functional, occupational, and cognitive disorders. Without proper care, this complication can lead to profound psychological challenges and even death. The aim of this study is to design a minimum data set (MDS) for BD.
This descriptive cross-sectional study was conducted in two steps. In the first step, a survey was conducted in PubMed, Web of Science, and SCOPUS databases to identify the demographic, managerial, and clinical data elements. Then, the required data elements were extracted from the studies by the data extraction form and used in a questionnaire. In the second step, to confirm the data element set, the designed questionnaire was distributed and collected among 20 psychiatrists and subspecialists during a two-stage Delphi technique. Descriptive statistics (frequency and mean) were conducted to analyze the data.
Totally, 112 managerial and clinical data elements in 14 categories were extracted from the studies. Based on the experts' opinion and their consensus, 88 necessary data elements were considered to bipolar MDS. "Medication nonadherence," "history of suicide," and "substance abuse and addiction" were the most important data elements.
In this study, an MDS was designed for BD. Providing this MDS, in addition to improving the clinical processes, it is possible to help electronic system designers and health data managers to know what information should be included in the health systems or any kind of self-care or self-management software to meet the information needs of these patients.
双相情感障碍（BD）是管理领域中最具挑战性的精神疾病之一，可导致功能、职业和认知障碍。若未得到妥善治疗，这种并发症会引发严重的心理挑战甚至死亡。本研究旨在设计双相情感障碍的最小数据集（MDS）。
本描述性横断面研究分两步进行。第一步，在PubMed、科学网和Scopus数据库中开展调查，以确定人口统计学、管理和临床数据元素。然后，通过数据提取表从研究中提取所需数据元素并用于问卷。第二步，为确认数据集，在两阶段德尔菲技术过程中，向20位精神科医生和亚专科医生发放并收集所设计的问卷。采用描述性统计（频率和均值）分析数据。
共从研究中提取了14类中的112个管理和临床数据元素。根据专家意见及其共识，双相MDS考虑了88个必要数据元素。“药物治疗依从性差”“自杀史”和“物质滥用与成瘾”是最重要的数据元素。
本研究为双相情感障碍设计了一个MDS。提供此MDS，除改善临床流程外，还可能帮助电子系统设计师和健康数据管理者了解健康系统或任何类型的自我护理或自我管理软件应包含哪些信息，以满足这些患者的信息需求。
