建立慢性静脉疾病的最小数据集

sahar nabati, Kamyar, Khalil Kimiafar, M. Modaghegh, Alireza Banaye Yazdipour, M. Sarbaz
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摘要

目的:今天,慢性静脉疾病是世界范围内可导致死亡的常见健康问题。最小数据集的存在可以成为收集和登记慢性静脉疾病登记中这些患者数据的有价值的标准工具。因此,本研究旨在为慢性静脉疾病登记建立一个最小的数据集。方法:本研究于2018- 2019年分两个阶段进行。第一步,在没有时间限制的情况下,基于文献综述,从Google搜索引擎和PubMed、Science Direct和Google Scholar数据库中提取与数据元素相关的信息。在第二阶段,利用第一阶段获得的信息开发德尔菲问卷,并将其交给15名血管外科专家。在两个德尔菲阶段,确定了慢性静脉疾病登记的最小数据集。两个阶段的数据分析采用SPSS v.16软件进行描述性统计。结果:在慢性静脉疾病中,共收集人口统计信息、通讯、基线信息和临床分类349项。在第一个德尔菲阶段后,336个可分级项目中,215个达到了要求的分数,57个被删除。最终在建议项目(13个)的基础上,以中位数为3和3.5的63个项目进入德尔菲。共有76个项目进入第二阶段,其中28个项目最终被选中。最终确定16个亚组的243个项目作为慢性静脉疾病的最小数据集。结论:在慢性静脉疾病呈增长趋势的今天,最小数据集的存在在提高护理质量、降低成本和评估治疗方面发挥着重要作用。此外,可以将其视为注册中心中数据收集和注册的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development a minimum data set for chronic venous disease
Aim: Today, chronic venous diseases are common health problems that can cause death worldwide. The existence of a minimum dataset can be a valuable and standard tool for collecting and registering the data of these patients in the chronic venous disease registry. Therefore, the present study aimed to develop a minimal data set for chronic venous disease registry. Methods: This applied and descriptive cross-sectional study was conducted in two stages in 2018-19. In the first step, information relevant to the data elements was extracted from Google's search engine and PubMed, Science Direct, and Google Scholar databases based on literature review without time constraints. In the second stage, a Delphi questionnaire was developed using the information obtained from the first stage and given to 15 vascular surgery specialists. During the two Delphi stages, the minimum data set for chronic venous disease registry was determined. Data analysis in both stages was conducted using descriptive statistics in the SPSS v.16 software. Results: In chronic venous disease, a total of 349 items were collected for the categorization of demographic information, communication, baseline information, and clinical categories. After the first Delphi phase, of the 336 gradable items, 215 gained the required score and 57 were deleted. Eventually, 63 items with a median of 3 and 3.5 based on the suggested items (13 items) were entered the Delphi. A total of 76 items entered the second phase, of which 28 items were selected eventually. Finally, 243 items in 16 subsets were determined as the minimum data set for chronic venous disease. Conclusion: Today, given the growing trend of chronic venous disease, the existence of a minimum data set can play an important role in improving the quality of care, reducing costs, and evaluating treatments. Moreover, it can be considered as a standard for data collection and registration in the registry.
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