Farsadhabibi H, Langarizadeh M, Alavi Moghadam M. A Minimum Data Set of Educational Self-care Software for Patients with Cirrhosis. jhbmi 2020; 6 (4) :264-271
URL:
http://jhbmi.ir/article-1-316-en.html
Ph.D. in Medical Informatics, Associate Professor, Health Information Management Dept., School of Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
Abstract: (4843 Views)
Introduction: Liver cirrhosis has grown significantly in Asian countries over the last few years. However, there is no tool for collecting liver cirrhosis data. The purpose of this study was to design a minimum data set for the self-care education of liver cirrhosis.
Methods: This descriptive study was conducted in the first half of 2018 in cooperation with 16 liver specialists of Rasool Akram Hospital and Firoozgar Hospital in Tehran. The research tool was a researcher-made questionnaire. The content validity method was used to validate the questionnaire and its reliability was confirmed through test-retest method (r = 0.84). Data were analyzed using SPSS21 software.
Results: The minimum data set was organized in six categories: demographic, clinical, disease symptoms, dietary recommendations, general recommendations, medications and reminders. The demographic data collection consisted of 15 data elements, clinical data included 27 data elements, clinical symptoms included 9 data elements, food recommendations, consisted of 7 parts and 14 data elements, general recommendations consisted of 7 parts and 12 elements of data, and medications and reminders had two parts and 12 elements.
Conclusion: Considering the importance of data and information in the self-care of patients with liver cirrhosis and the role of software in collecting and sharing data with physicians, as well as reducing the number of visits to the hospital, attention should be paid to the minimum data set of self-care in patients with liver cirrhosis.
Type of Study:
Original Article |
Subject:
Health Information Technology Received: 2018/05/31 | Accepted: 2019/11/12