Development a minimum data set for chronic venous disease

Abstract

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.