Determining the Minimal Dataset for a Mobile-Based Self-Care Educational System for Corneal Transplant Patients

Abstract

Self-care methods for patients with corneal transplants are very important. Currently, traditional self-care guidelines have limitations. Determining the minimal dataset for a self-care educational system is essential to improve the quality of content and services provided to corneal transplant patients. This study aimed to determine the necessary dataset for a corneal transplant educational system. This applied research study was conducted using a descriptive-developmental approach in 2022-2023. In the first stage, the researchers identified the clinical-educational content required, and the questionnaire's content validity and face validity were evaluated by six ophthalmologists and ten faculty members of the Department of Health Information Technology and Medical Informatics. The reliability of the questionnaire was calculated using Cronbach's alpha with SPSS software version 26. Among the elements surveyed, those with a mean score above 3.5 were selected as essential data elements, and those with a mean score between 2.5 and 3.5 were selected as desirable data elements. The minimal dataset for a self-care educational system was presented in four sections: demographic data elements, clinical data elements, educational data elements, and functional and technical requirements. A proposed model for an electronic educational system can be developed based on the results.