ELECTRONIC REGISTRY SYSTEM FOR DIABETIC PATIENTS UNDERGOING HYPERBARIC OXYGEN THERAPY: DETERMINATION OF COMMON DATA ELEMENTS

Abstract

Background: The advent of electronic registries has increasingly provided an opportunity to improve healthcare services and advanced applied research. However, the delivery of effective hyperbaric technology services requires well-functioning electronic registry systems and patient information integration to support national and global analyses. Objectives: this study aimed to determine the most common data elements of an electronic registry for diabetic patients undergoing hyperbaric oxygen therapy (HBOT). Methods: This was a cross-sectional study that conducted in two main stages. The first phase involves a review of the current available evidence on the study aim. In this stage, we searched related articles in PubMed, Web of Science, Up To Date, Science Direct, and Scopus databases. In the next phase, using the researcher-made questionnaire, the essential data elements and technical features of an electronic registry system were validated. The statistical population of the present study consisted of 32 endocrinologists working in Golestan Hospital. The collected data was analyzed using descriptive statistics in SPSS version 26. Results: Through a full-text review of 12 related articles, the data elements (N=95) of an electronic registry for diabetic patients undergoing HBOT were identified and classified into three categories including: administrative (n=30), clinical (n=54), and technical (n=11). According to findings, among the 30 data elements of administrative category, 25 data elements and in clinical category, 50 data elements were selected by statistical population. Moreover, all identified technical features were selected by experts, except the "decision making support". Conclusions: In this study we identified and validated the data elements and technical features of an electronic registry system for HBOT-treated diabetic patients. These requirements make it possible to standardize data collection and improve health care services.